External research
This page lists the research used to back the content on this site. Every claim on every topic page links back here. For scientific terms used below, see the glossary.
Research selection and evaluation
Research selection follows a human-evidence-first hierarchy:
- Pre-registered RCTs and meta-analyses of RCTs — highest confidence. Grade A requires pre-registered primary outcomes. Unregistered trials and post-hoc outcome analyses are treated as exploratory.
- Well-designed RCTs — strong individual trial evidence. A single RCT, regardless of quality, caps at Grade B. Grade A requires independent replication from a separate research group with different funding.
- Prospective cohort studies — Grade B only. Observational findings in nutrition have a documented history of failing to replicate in controlled trials; they are treated as hypothesis-generating, not claim-confirming.
- Mechanistic, animal, and in-vitro studies — supporting context only, always labeled as lower certainty. Animal and cell-model results routinely fail to translate to humans in nutritional science.
Grading rules — all must pass for Grade A
- Grade A — strong human evidence. Wording: “improves”, “increases”, “enhances”, “directly affects”, “well-established”. Requires: pre-registered primary outcomes (prospective or Registered Report), ≥2 independent research groups, hard endpoints (not surrogate-only), clinically meaningful effect size, no 2+ red flags.
- Grade B — moderate evidence. Wording: “associated with”, “suggests”, “likely”, “tends to”, “indicates”, “supports”. Applies to: single RCTs, observational findings (hypothesis-generating only), post-hoc outcomes, surrogate-endpoint-only, industry-funded sole support, narrative reviews, attrition >20% without ITT, meta-analyses without RoB assessment, crossover trials with inadequate washout, very wide CIs, non-primary outcomes without multiple comparison correction, retrospectively registered trials, unregistered post-2000 RCTs, time horizon mismatch (short-term evidence for long-term claim), unverified blinding with subjective outcomes, unverified compliance (long/subjective studies).
- Grade C — limited/early/mixed. Wording: “may”, “might”, “possible”, “emerging”, “preliminary”, “uncertain”, “limited evidence”. Applies to: animal/in vitro, single observational, mechanistic-only, preprints (until peer-reviewed), post-hoc subgroup findings (regardless of parent study quality). Mechanism alone — regardless of plausibility — does not upgrade grade.
- Grade A language with Grade C evidence = overclaim — blocked.
- Grade A language for observational-only or surrogate-only claims = blocked.
- Preprints are Grade C until published in a peer-reviewed journal.
- Post-hoc (unregistered) subgroup findings are Grade C regardless of parent study type.
- Retrospectively registered trials and unregistered post-2000 RCTs are capped at Grade B.
- Null results from underpowered studies cannot be cited as evidence of absence.
Additional grading rules applied to every citation:
- Effect size: statistical significance alone does not qualify. An effect must be clinically meaningful in magnitude. Small-but-significant results receive Grade B language with the effect size stated explicitly.
- Outcome type: claims based solely on surrogate biomarkers — cholesterol levels, inflammatory markers, hormone concentrations — are capped at Grade B. Grade A requires hard outcomes (disease events, mortality, physical function) or surrogates with validated predictive value.
- Replication: Grade A requires evidence from at least two independent research groups (different institutions, different funding). Single-group or single-lab findings are capped at Grade B.
- Funding: industry-only evidence is capped at Grade B regardless of study quality. Grade A requires independent corroboration confirming both direction and magnitude.
- Trial registration: for RCTs published after 2000, outcome switching — reporting endpoints not pre-specified in the original registration — is treated as exploratory and capped at Grade B.
- Pre-registration quality tiers: Registered Reports (journal commits to publish before data collection) carry the highest weight. Prospective registration (before data collection) is standard. Retrospective registration (after data collection began) is treated as near-equivalent to no registration — outcomes are capped at Grade B. Unregistered post-2000 RCTs: all outcomes are treated as potentially post-hoc.
- Publication bias: meta-analyses are assessed for signs of publication bias. Positive results are published at higher rates than null results; a meta-analysis of a biased literature produces a biased estimate. When bias is detectable or likely, the pooled effect is interpreted conservatively.
- Absolute vs relative effects: relative risk reductions (e.g., ‘50% lower risk’) are always reported alongside absolute numbers. A 50% relative reduction may mean an absolute change from 2% to 1% — meaningful context that changes interpretation. When only relative effects are available and the absolute baseline is unknown, this limitation is noted and claims use cautious language.
- Confidence interval precision: a statistically significant result with a very wide confidence interval is imprecise — the true effect could be negligible or very large. Imprecise estimates receive cautious language regardless of the point estimate.
- Statistical heterogeneity: when a meta-analysis pools studies with very different results (high heterogeneity), the pooled average is unreliable. High-heterogeneity meta-analyses receive cautious language and note the inconsistency.
- Time horizon: claims implying long-term or ongoing benefit require evidence matching that timeframe. A 4-week trial cannot support claims of lasting benefit. When study duration is shorter than the claimed effect horizon, claims use cautious language.
Study quality markers
Beyond study type, every cited study is evaluated for design quality. Red flags include: small sample size (n < 20 per arm), short duration for long-term claims, population mismatch, unblinded subjective outcomes, post-hoc outcome changes, single-lab findings, high dropout (>20% differential between arms) without intention-to-treat analysis, inadequate washout in crossover trials, unverified blinding when the intervention has known unblinding properties (taste, smell, side effects) and the outcome is subjective, and unverified compliance (self-report only) for studies longer than 4 weeks with subjective outcomes. Any study with 2 or more red flags is capped at Grade B; 3 or more caps at Grade C.
Subjective outcomes
Claims based solely on self-reported outcomes — sleep quality, mood, perceived energy, pain scales — require stronger evidence for the strongest language. Grade A for subjective outcomes requires a double-blind RCT with a validated measurement instrument, at least 50 participants per arm, and independent replication. Missing any of these caps the claim at Grade B.
Guidelines and consensus statements
Guidelines, consensus statements, and position papers are committee outputs — interpretive documents, not primary evidence. They reflect a committee’s reading of the evidence at a point in time, filtered through institutional incentives and member conflicts of interest.
- Guidelines are capped at Grade B regardless of the issuing body’s prestige. Only the underlying primary data (RCTs, meta-analyses, strong cohorts) can support Grade A claims.
- “WHO recommends X” or “EFSA approved Y” is not evidence — it is an authority citation. The underlying studies are evaluated independently.
- Many guidelines have been substantially revised or reversed over the decades — dietary cholesterol limits (reversed ~2015), saturated fat recommendations (weakened), low-fat dietary advice (revised), hormone replacement therapy (reversed after WHI trial). These reversals are not cited to undermine science but to demonstrate that consensus is provisional and must be evaluated against current primary data.
- When a guideline committee has majority-industry ties or undisclosed composition, this is noted alongside the citation.
Review types
Not all review articles carry the same weight:
- Systematic reviews — pre-registered search protocol, explicit inclusion criteria, quality assessment of included studies (e.g., Cochrane, PRISMA-compliant). Treated similarly to meta-analyses for grading.
- Narrative reviews — single-author or small-group expert opinion summarizing literature without systematic methodology. Treated as expert opinion — Grade B maximum. Narrative reviews can inform topic context but cannot be the sole support for evidence-grade claims.
Individual response variability
Research reports population-mean effects. Many compounds show substantial responder and non-responder distributions — a positive average can obscure the fact that a meaningful subset of participants saw no benefit. When published studies document that 20% or more of participants showed no meaningful response, content acknowledges this: “for most people, X improves Y; a significant minority see little to no effect.” When the non-responder mechanism is identified — genetic variation, baseline status, or population-specific factors — it is disclosed.
Adversarial review
Every substantive claim is actively challenged — counter-evidence is searched for, including evidence that claims are wrong, overstated, or incomplete. When contradictory evidence exists, it is disclosed alongside the claim. When a claim is found overstated, it is rewritten to match the actual evidence. Claims are assessed for aggregate bias patterns: healthy user bias, reverse causation, publication bias, common confounders, and funder homogeneity. If two or more of these concerns apply to a claim, Grade A language is blocked regardless of individual study quality.
Scope and disclosure rules
Every claim is limited to the population actually studied. Clinical findings in patients with deficiencies or disease are not applied to healthy adults without an explicit qualifier. Results in elderly, trained, or clinical populations do not automatically extend to the general population.
Contradictory evidence of equal or higher quality is disclosed, not omitted. If published Grade A or B research contradicts a stated claim, the contradiction is noted alongside the claim.
Citations older than 10 years are marked (older evidence). For fast-moving fields — gut microbiome, epigenetics, emerging mechanisms — the threshold drops to 5 years. All links are periodically re-verified for dead links and retraction status. Retracted papers are removed immediately and any claims they solely supported are downgraded. If a correction changes the direction or magnitude of an effect, the claim wording is updated.
Where a conflict of interest exists — for example, a senior author affiliated with a company that profits from the studied product — this is flagged inline.
Deficiency vs adequacy
Evidence showing benefit from correcting a deficiency does not support claims of benefit in people who already have adequate levels. If the supporting evidence comes primarily from deficient populations, the claim specifies this — ‘in those with low levels’ or equivalent. Supplementation benefits above adequate intake require evidence specifically from non-deficient populations.
Formulation specificity
Evidence for one form of a nutrient does not automatically extend to other forms. For example, creatine monohydrate and creatine HCl are not interchangeable in evidence terms; magnesium glycinate and magnesium oxide have very different absorption rates. Claims specify the studied formulation. When a product uses a form not directly studied, claims are scoped to cautious language.
Safety claim standards
‘No adverse effects reported’ in a study does not mean safe. Safety claims require prospective safety data with adverse event monitoring, adequate sample size and duration, and population match. Without this, qualified language is used — ‘no serious adverse events reported in studies to date,’ not ‘safe.’ Short-term trial safety does not support long-term safety assertions.
Research terms glossary
Common terms used on this site and in the citations below.
- RCT — Randomized controlled trial — participants are randomly assigned to treatment or control groups. The gold standard for measuring cause and effect.
- Meta-analysis — A study that pools data from multiple trials to produce a combined estimate. Stronger than any single study, but only as good as the studies it includes.
- Systematic review — A structured search and evaluation of all available evidence on a question. Often paired with a meta-analysis.
- Cohort study — An observational study that follows a group over time to see who develops an outcome. Cannot prove causation — only associations.
- Grade A — Strong human evidence — multiple pre-registered RCTs from independent groups with hard outcomes and clinically meaningful effects.
- Grade B — Moderate evidence — single RCTs, observational findings, surrogate-only outcomes, or industry-funded claims awaiting independent replication.
- Grade C — Limited or early evidence — animal studies, in-vitro research, mechanistic-only data, preprints, or post-hoc subgroup findings.
- Surrogate endpoint — A biomarker used as a stand-in for a hard outcome. Example: LDL cholesterol instead of heart attack events. Claims based only on surrogates are capped at Grade B.
- Hard outcome — A directly meaningful clinical result — disease events, mortality, physical function — as opposed to biomarker changes.
- Pre-registration — When researchers publicly declare their study design and primary outcomes before data collection. Prevents cherry-picking results after the fact.
- Post-hoc analysis — An analysis not planned before the study started. Higher risk of false positives — treated as exploratory evidence regardless of p-value.
- Publication bias — Positive results get published more often than null results. A body of literature may overstate an effect because the contradictory studies were never published.
- ITT — Intention-to-treat analysis — includes all participants as originally assigned, even if they dropped out. Prevents bias from selective dropout.
- Dose-response — When higher doses produce larger effects in a predictable pattern. Supports a causal relationship but does not guarantee one.
- Effect size — The magnitude of a result, not just whether it is statistically significant. A tiny but statistically significant effect may not matter in practice.
- Confidence interval — A range showing how precise an estimate is. Wide intervals mean uncertain results; narrow intervals mean more reliable estimates.
- COI — Conflict of interest — when a study’s funder profits from a positive result. Industry-funded evidence without independent replication is capped at Grade B.
- Older evidence — Citation published more than 10 years ago (5 years in fast-moving fields). Flagged because newer research may have changed the picture.
Protein & amino acids
- [B, guideline] FAO: Dietary Protein Quality Evaluation in Human Nutrition (2013) ⚠️ older evidence (older evidence)
- [B, guideline] WHO/FAO/UNU Protein and Amino Acid Requirements (2007 · NBK234922) ⚠️ older evidence (older evidence)
- [B, review] Protein content and amino acid composition of commercial plant-based protein isolates — Gorissen et al. (2018 · PMCID: PMC6245118 · DOI: 10.1007/s00726-018-2640-5) ⚠️ Limitation not yet assessed
- [B, review] Determinants of amino acid bioavailability — Gaudichon & Calvez (2020 · PMCID: PMC7752214 · DOI: 10.1097/MCO.0000000000000708) ⚠️ Limitation not yet assessed
- [B, review] Dietary protein and muscle mass: reviewing the role of protein quality — Gorissen & Witard (2018 · PMID: 28847314 · DOI: 10.1017/S002966511700194X) ⚠️ Limitation not yet assessed
- [B, guideline] Higher protein intake above DRI preserves lean mass during caloric restriction — Longland et al. (2016 · PMID: 26817506 · DOI: 10.3945/ajcn.115.119339) ⚠️ Limitation not yet assessed
- [B, review] The anabolic response to plant vs. animal protein — van Vliet et al. (2015 · PMID: 26224750 · DOI: 10.3945/jn.114.204305) ⚠️ older evidence (older evidence)
- [B, review] Protein for Life: Optimal Protein Intake, Sustainable Dietary Sources and Appetite in Ageing Adults — Lonnie et al. (2018 · PMCID: PMC5872778 · DOI: 10.3390/nu10030360) ⚠️ Limitation not yet assessed
- [B, guideline] Dietary Reference Values for protein — EFSA Scientific Opinion (2012 · DOI: 10.2903/j.efsa.2012.2557) ⚠️ older evidence (older evidence)
- [B, review] Dietary Protein and Amino Acids in Vegetarian Diets — Mariotti & Gardner (2019 · PMCID: PMC6893534 · DOI: 10.3390/nu11112661) — argues adequate total plant protein intake can meet EAA needs; counterpoint to strict combining requirement ⚠️ Limitation not yet assessed
- [B, rct] Bioavailable methionine from chickpea and rice by IAAO method — Rafii et al. (2020 · PMID: 32271919 · DOI: 10.1093/jn/nxaa028) — Methionine bioavailability from chickpea 63% vs 100% from rice by IAAO; combining restores protein quality; adult men only (n=11) ⚠️ Limitation not yet assessed
- [C, animal] Protein and amino acid digestibility of spirulina in rats — Tessier et al. (2021 · PMID: 32870353 · DOI: 10.1007/s00394-020-02371-x) — Real digestibility ~83–86% in rat model; animal data, not yet confirmed in humans; most limiting AA was histidine ⚠️ Animal model; human translation uncertain
- Protein quality — Wikipedia — Overview of scoring systems — NPU, BV, PDCAAS, DIAAS
- USDA FoodData Central — Nutrient values for all food sources used in tables
- [B, rct] The anabolic response to protein ingestion during recovery from exercise has no upper limit — Trommelen et al. (2023 · PMID: 38118410 · DOI: 10.1016/j.xcrm.2023.101324) · ⚡ contradicting — Single RCT in recreationally active young men post-exercise; 100g protein produced sustained anabolic response over 12h with no plateau vs 25g. Does not address sedentary or non-post-exercise contexts. ⚠️ Limitation not yet assessed
- [B, cohort] Beyond daily totals: meal-level DIAAS reveals how food groups shape protein quality in vegan diets — Soh et al. (2025 · PMID: 41769645 · DOI: 10.3389/fnut.2025.1752697) — Vegan meals systematically fail DIAAS ≥1.0 at meal level even when daily totals appear adequate; meal-level scoring reveals protein quality gaps hidden by daily averaging. ⚠️ Cohort design; residual confounding possible
- [B, cohort] Analysis of heavy metal content in protein powders available on the Hungarian market — Horváth et al. (2025 · PMID: 40703701 · DOI: 10.1017/jns.2025.10024) — European market survey confirming heavy metal contamination in protein powders; extends plant>animal contamination pattern beyond US data. ⚠️ Cohort design; residual confounding possible
- [B, review] Thermic Effect of Food: Macronutrient Differences — Calcagno et al. (2019 · PMID: 31021710 · DOI: 10.1080/07315724.2018.1552544) ⚠️ Limitation not yet assessed
- [B, rct] Plant-based vs animal-based protein blend on muscle adaptations to resistance training — Santini et al. 2025 (2025 · PMID: 41059835 · DOI: 10.1080/15502783.2025.2568047) · ⚖️ mixed — Soy+pea blend (45g/d) vs whey (45g/d) over 12 wk RET in young untrained males: no between-group differences in whole-body lean mass, appendicular lean mass, vastus lateralis mCSA, or leg-press 1RM (all p>0.05) ⚠️ Untrained males only; 12-week duration; funded by NotCo (plant-protein company); n=44
- [A, meta-analysis] Animal vs plant protein on lean mass and muscle strength — Lim et al. 2021 meta-analysis (2021 · PMID: 33670701 · DOI: 10.3390/nu13020661) · ⚖️ mixed — 18-study meta-analysis: protein source did not affect changes in absolute lean mass or muscle strength; small favoring effect of animal protein on percent lean mass; younger adults (<50 y) gained more absolute and percent lean mass with animal protein ⚠️ Heterogeneous study designs; total protein intakes generally above RDA; fewer studies in older adults
- [B, rct] No difference in muscle growth soy vs whey when leucine-matched — Lynch et al. 2020 RCT (2020 · PMID: 32486007 · DOI: 10.3390/ijerph17113871) · ⚖️ mixed — 19g whey vs 26g soy (both 2g leucine), 12 wk RET in untrained men/women: no significant differences in lean body mass or peak torque of leg extensors/flexors between groups ⚠️ Small sample (n=48 completers); untrained participants; 12-week duration; leucine matching required higher soy dose
- [A, meta-analysis] Whey vs soy protein on RET outcomes in young adults — Davis et al. 2025 meta-analysis (2025 · PMID: 41454445 · DOI: 10.1080/19390211.2025.2604679) · ⚖️ mixed — 12-study meta-analysis (261 participants): no significant effect of whey or soy on LBM; whey significantly improved bench press (MD 8.87 kg) and squat (MD 9.60 kg); whey raised plasma EAA more ⚠️ Only 12 studies with 261 participants; restricted to ages 18-30; most studies short duration
- [B, review] Renal health in healthy adults with protein above RDA — Van Elswyk et al. 2018 systematic review (2018 · PMID: 30032227 · DOI: 10.1093/advances/nmy026) — 26 studies (RCTs + observational): higher protein intake (≥20% energy) consistent with normal kidney function in healthy adults; all reported GFRs within normal range; no adverse effect on blood pressure ⚠️ Most studies <6 months; moderate-to-high risk of bias; cannot differentiate plant vs animal protein effect on kidneys
- [A, meta-analysis] Protein supplementation + resistance training, mass/strength meta-regression — Morton et al. (2018 BJSM MA) (2018 · PMID: 28698222 · DOI: 10.1136/bjsports-2017-097608) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Protein + resistance training on appendicular lean mass and grip strength in older adults — Kirwan et al. (2022 AJCN MA) (2022 · PMID: 34673936 · DOI: 10.1093/ajcn/nqab355) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Protein > RDA on whole-body lean mass under catabolic/anabolic stressors — Hudson et al. (2020 Adv Nutr MA) (2020 · PMID: 31794597 · DOI: 10.1093/advances/nmz106) ⚠️ Limitation not yet assessed
- [B, rct] Ingested protein dose response of muscle and albumin protein synthesis after resistance exercise in young men — Moore et al. (2009 · PMID: 19056590 · DOI: 10.3945/ajcn.2008.26401) — Canonical per-meal protein dose-response study in young men post-resistance exercise; ~20 g of intact egg protein was sufficient to maximally stimulate MPS and APS, with 40 g producing only further oxidation rather than additional MPS. Foundational source of the ~20 g per-meal ceiling claim. ⚠️ Small sample; young healthy men only; single meal / acute window; whole-body MPS inferred from labelled-leucine methodology (older evidence)
- [B, rct] Timing and distribution of protein ingestion during prolonged recovery from resistance exercise alters myofibrillar protein synthesis — Areta et al. (2013 · PMID: 23459753 · DOI: 10.1113/jphysiol.2012.244897) — 12-h post-exercise comparison of 4x20 g vs 2x40 g vs 8x10 g whey. The 4x20 g pattern produced the greatest cumulative myofibrillar MPS, supporting the moderate-doses-every-3h prescription underlying the per-meal ceiling claim. ⚠️ Small sample of trained males; acute 12-h window; whey only; single exercise bout (older evidence)
- [B, review] Processing effects on protein digestibility and mineral bioavailability of legumes — Auer et al. 2026 (2026 · PMID: 41895991 · DOI: 10.1016/j.foodres.2026.118938)
- [B, meta-analysis] Whey protein supplementation in postmenopausal women — Kuo et al. 2022 SR/MA (2022 · PMID: 36235862 · DOI: 10.3390/nu14194210)
- [B, rct] Whey protein drink vs normal breakfast on glucose/insulin/GLP-1 in T2D — Sridonpai et al. 2021 crossover RCT (2021 · PMID: 34290863 · DOI: 10.1017/jns.2021.41)
Glycine
- [B, review] Glycine requirement for collagen synthesis exceeds endogenous production — Meléndez-Hevia et al. (2009 · PMCID: PMC6153947 · DOI: 10.1007/s00726-018-2611-x) — body synthesizes ~3g/day; collagen turnover alone requires ~10–12g; dietary/supplemental glycine is essential ⚠️ older evidence (older evidence)
- [B, review] Glycine and aging: evidence and mechanisms — review (2023 · PMID: 37004845 · DOI: 10.1016/j.arr.2023.101922) — glycine counters excess methionine from high-animal-protein diet; activates lifespan-extending pathways (⚠️ senior author affiliated with Tally Health — longevity supplement company) ⚠️ industry-funded
- [B, review] Dietary methionine restriction extends lifespan across multiple species — Zhang et al. (2022 · PMCID: PMC9508608 · DOI: 10.1016/j.redox.2022.102464) — methionine restriction linked to prolonged lifespan; glycine mimics this effect ⚠️ Limitation not yet assessed
- [B, rct] Glycine supplementation decreases glycated hemoglobin (HbA1c) in type 2 diabetics — Cruz et al. (2008 · PMID: 18852529 · DOI: 10.1007/BF03346417) — reduces HbA1c in diabetic patients ⚠️ older evidence (older evidence)
- [B, rct] Glycine reduces oxidative stress and improves antioxidant status (2013 · PMID: 24144057 · DOI: 10.1139/cjpp-2012-0341) — reduces oxidative stress markers in humans ⚠️ older evidence (older evidence)
- [B, review] GlyNAC Supplementation Improves Glutathione, Mitochondrial Function, and Aging Hallmarks — Sekhar (2021 · PMID: 34587244 · DOI: 10.1093/jn/nxab309) ⚠️ Limitation not yet assessed
- [B, rct] Glycine improves daytime performance in sleep-restricted healthy volunteers — Bannai et al. 2012 (2012 · PMID: 22529837 · DOI: 10.3389/fneur.2012.00061) — 3g glycine before bed reduced fatigue and improved psychomotor vigilance in sleep-restricted subjects vs placebo. Also modulated SCN neuropeptides (AVP, VIP) in rat model without altering circadian clock genes. Small study. ⚠️ Small sample size; sleep restriction was artificial (25% reduction for 3 nights); subjective endpoints; rat SCN data may not translate to humans; older evidence (older evidence)
- [B, rct] GlyNAC supplementation improves glutathione, mitochondrial function, and aging hallmarks in older adults — Sekhar RCT 2023 (2023 · PMID: 35975308 · DOI: 10.1093/gerona/glac135) — 16-week placebo-controlled RCT in 24 older adults. GlyNAC corrected glutathione deficiency (+164% at 16 weeks), improved oxidative stress, mitochondrial fatty acid oxidation, insulin resistance, inflammation, endothelial dysfunction, gait speed, grip strength, waist circumference, and systolic BP. NIH-funded. Independently replicated at USC in 2025. ⚠️ Small sample (n=24 OA + 12 YA); single-centre (Baylor); primary investigator is the GlyNAC concept originator; 16-week duration; needs larger multi-centre replication
- [B, review] SHMT proteins and serine-glycine metabolism in cancer — Fu 2025 review (2025 · PMID: 40617370 · DOI: 10.1016/j.cellsig.2025.111977)
Fasting & meal timing
- [B, review] Intermittent fasting and metabolic health — de Cabo & Mattson (2019 · DOI: 10.1056/NEJMra1905136) ⚠️ Limitation not yet assessed
- [B, resource] Time-restricted eating and its effects on body weight — Lowe et al. (2020 · PMID: 32986097 · DOI: 10.1001/jamainternmed.2020.4153)
- [B, review] Meal frequency and energy balance — Bellisle et al. (1997 · PMID: 9155494 · DOI: 10.1079/bjn19970104) ⚠️ older evidence (older evidence)
- [B, observational] An insulin index of foods: the insulin demand generated by 1000-kJ portions of common foods — Holt et al. (1997 · PMID: 9356547 · DOI: 10.1093/ajcn/66.5.1264) ⚠️ Observational design; cannot establish causation; older evidence (older evidence)
- [B, review] Time-Restricted Eating and Circadian Alignment — Regmi & Heilbronn (2020 · PMID: 32480126 · DOI: 10.1016/j.isci.2020.101161) ⚠️ Limitation not yet assessed
- [B, review] Fasting: Molecular Mechanisms and Clinical Applications — Longo & Mattson (2014 · PMID: 24440038 · DOI: 10.1016/j.cmet.2013.12.008) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Time-restricted eating with vs without caloric restriction for weight loss: meta-analysis of RCTs — Fernandes-Alves et al. (2026 · PMID: 40298934 · DOI: 10.1093/nutrit/nuaf053) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Intermittent fasting strategies and their effects on body weight and cardiometabolic risk factors: systematic review and network meta-analysis of RCTs — Semnani-Azad et al. (2025 · PMID: 40533200 · DOI: 10.1136/bmj-2024-082007) — 99 RCTs, n=6,582 adults; compared ADF, TRE, 5:2, CER, ad-lib. TRE showed no significant advantage over CER for weight loss. ADF was the only IF strategy with significant advantage vs CER (MD -1.29 kg, -1.99 to -0.59). Published in BMJ with 15× the RCT count of Fernandes-Alves. ⚠️ Heterogeneity in trial durations and populations; network-meta assumptions.
Insulin & metabolic health
- [B, review] Insulin resistance and its impact on metabolic disease — Petersen & Shulman (2017 · DOI: 10.1152/physrev.00063.2017) ⚠️ Limitation not yet assessed
- [B, review] A causal role for hyperinsulinemia in obesity — Templeman et al. (2017 · PMID: 28052999 · DOI: 10.1530/JOE-16-0449) ⚠️ Limitation not yet assessed
- [B, review] Production of insulin resistance by hyperinsulinemia — Rizza et al. (1985 · PMID: 3884419 · DOI: 10.1007/BF00279918) ⚠️ older evidence (older evidence)
Fructose & liver
- [B, review] Fructose: metabolic, hedonic, and societal parallels with ethanol — Lustig (2010 · PMID: 20800122 · DOI: 10.1016/j.jada.2010.06.008) ⚠️ older evidence (older evidence)
- [B, resource] Consuming fructose-sweetened beverages increases visceral fat — Stanhope et al. (2009) (older evidence)
- [B, rct] Effect of a low free sugar diet on nonalcoholic fatty liver disease in adolescents — Schwimmer et al. (2019 · PMID: 30667502 · DOI: 10.1001/jama.2018.20579) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Huang & Chen 2023 — Dietary sugar consumption and health: umbrella review (BMJ) (2023 · PMID: 37019448 · DOI: 10.1136/bmj-2022-071609) — Umbrella review found harmful associations between dietary sugar intake and multiple endpoints including cardiometabolic disease and cancer. Specifically, every 25 g/day increment of fructose was associated with 22% higher pancreatic cancer risk (low-quality evidence). Recommends <25 g/day free sugars and <1 SSB/week. Supports fructose-in-excess harm framing in carbohydrates post. ⚠️ Umbrella review — summarizes prior SR/meta-analyses across heterogeneous exposure definitions (total sugars, free sugars, added sugars, sugar-sweetened beverages). Strength of evidence per association varied; many rated low-to-moderate quality.
- [A, meta-analysis] Total sugar, added sugar, fructose, and sucrose intake and all-cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohorts — Huang C et al. (2023 · PMID: 37182401 · DOI: 10.1016/j.nut.2023.112032) — Dose-response MA of prospective cohorts. Total sugar vs all-cause mortality RR 1.09 (1.02-1.15), CV mortality RR 1.10 (1.02-1.18). Fructose vs all-cause RR 1.09 (1.03-1.16), CV RR 1.11 (1.03-1.20); cancer mortality null. Independent from Yin Huang BMJ umbrella despite shared surname. ⚠️ Observational cohorts; residual confounding; cancer mortality null result tempers pancreatic-specific finding.
Fats & cooking
- [B, review] Dietary fat and cardiovascular disease: replacing saturated fat — Siri-Tarino et al. (2010 · PMCID: PMC2824150 · DOI: 10.3945/ajcn.2008.26285) ⚠️ older evidence (older evidence)
- [B, review] Trans fatty acids and cardiovascular disease — Mozaffarian et al. (2006 · DOI: 10.1056/NEJMra054035) ⚠️ older evidence (older evidence)
- [B, review] Dietary lipid oxidation products from fried foods and adverse health effects — Grootveld et al. (2020 · PMCID: PMC7254282 · DOI: 10.3390/nu12040974) ⚠️ Limitation not yet assessed
- Acrylamide in food and cancer risk (1994) (older evidence)
- [B, review] Bile Acid Metabolism and Signaling — Chiang (2017 · PMID: 29104811 · DOI: 10.1016/j.livres.2017.05.001) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Omega-3 Supplementation and Cardiovascular Risk — Abdelhamid et al. (2018 · PMID: 30521670 · DOI: 10.1002/14651858.CD003177.pub4) ⚠️ Limitation not yet assessed
- [B, systematic-review] Dietary Cholesterol and Cardiovascular Risk: AHA Science Advisory — Carson et al. (2020 · PMID: 31838890 · DOI: 10.1161/CIR.0000000000000743) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Dietary Fat and Male Reproductive Hormones: Systematic Review and Meta-Analysis — Whittaker & Wu (2021 · PMID: 33741447 · DOI: 10.1016/j.jsbmb.2021.105878) ⚠️ Limitation not yet assessed
- [B, review] Ketogenic Diet: Mechanisms, Evidence, and Clinical Applications — Dowis & Banga (2021 · PMID: 34068325 · DOI: 10.3390/nu13051654) ⚠️ Limitation not yet assessed
- [B, review] Grass-Fed vs Grain-Fed Beef: Nutrient Composition Differences — Daley et al. (2010 · PMID: 20219103 · DOI: 10.1186/1475-2891-9-10) ⚠️ older evidence (older evidence)
- [B, review] Regulation of Fatty Acid Oxidation in Skeletal Muscle — Spriet (2002 · PMID: 12218742 · DOI: 10.1097/00005768-200209000-00013) ⚠️ older evidence (older evidence)
- [B, review] When somebody loses weight, where does the fat go? — Meerman & Brown (2014 · PMID: 25516540 · DOI: 10.1136/bmj.g7257) — Stoichiometric analysis of complete triglyceride oxidation; 84% of fat mass exhaled as CO₂, 16% as H₂O; surveyed 150 health professionals — most answered incorrectly ⚠️ older evidence (older evidence)
- How to Build Physical Endurance & Lose Fat — Huberman × Andy Galpin (2023) — Galpin explains the carbon cycle of fat metabolism — from plant photosynthesis to body fat storage to CO₂ exhalation; references Meerman & Brown BMJ 2014 stoichiometry
- [A, systematic-review] Beneficial effects of linoleic acid on cardiometabolic health: an update — Jackson et al. (Lipids in Health and Disease 2024) (2024 · PMID: 39267068 · DOI: 10.1186/s12944-024-02246-2) · ⚖️ mixed — Higher LA levels associated with lower CVD risk, lower T2D risk; only 0.2% of dietary LA converts to arachidonic acid; increasing LA does not raise inflammatory markers in controlled trials ⚠️ Primarily observational evidence for CVD outcomes; conversion rate data from metabolic studies
- [A, meta-analysis] Effects of ketogenic diet on muscle mass, strength, and aerobic capacity: meta-analysis 2025 (2025 · PMID: 41035089 · DOI: 10.1186/s41043-025-01090-z) · ⚖️ mixed — No significant differences in countermovement jump, squat, or bench press between keto and control diets; VO2max and time to exhaustion also not significantly different; significant decrease in fat-free mass ⚠️ Heterogeneous study designs; variable adaptation periods; fat-free mass loss is a concern
- [B, meta-analysis] CLA supplementation on glycemic control, adipokines, cytokines — Ghodoosi et al. 2023 SR/MA (2023 · PMID: 37794481 · DOI: 10.1186/s12937-023-00876-3)
- [B, meta-analysis] CLA supplementation on inflammatory cytokines and adipokines — Rastgoo et al. 2023 SR/MA (2023 · PMID: 36911696 · DOI: 10.3389/fimmu.2023.1092077)
- [B, rct] Daily eggs in heart-healthy diet for 8 weeks on cardio-metabolic markers in hyperlipidemia — Njike et al. 2026 crossover RCT (2026 · PMID: 40957619 · DOI: 10.1080/27697061.2025.2560431)
- [B, meta-analysis] Dietary cholesterol effects on LDL and HDL: meta-regression — Vincent et al. 2019 (2019 · PMID: 30596814 · DOI: 10.1093/ajcn/nqy303)
- [B, meta-analysis] Ruminant trans-fatty acids and CVD risk markers in healthy subjects — Gayet-Boyer et al. 2014 SR/MA (2014 · PMID: 25345440 · DOI: 10.1017/S0007114514001998) — Distinguishes ruminant vs industrial TFA. Supports the industrial-TFA-LDL/HDL claim by establishing that ruminant TFA (low-dose natural) does not show linear harm vs industrial TFA. (older evidence)
- [B, meta-analysis] Olive oil consumption and all-cause, cardiovascular, cancer mortality — Del Saz-Lara et al. 2024 SR/MA (2024 · PMID: 39523824 · DOI: 10.1039/d4fo04059g)
- [B, review] Health outcomes associated with olive oil intake — Chiavarini et al. 2024 umbrella review of meta-analyses (2024 · PMID: 39200546 · DOI: 10.3390/foods13162619)
- [C, observational] Comparative quality deterioration of vegetable oils during deep-fat frying — Wang 2026 (Foods) (2026 · PMID: 41750963 · DOI: 10.3390/foods15040771)
- [B, review] Lipid metabolism in the adrenal gland — Aderhold 2025 review (Front Endocrinol) (2025 · PMID: 40551885 · DOI: 10.3389/fendo.2025.1577505)
- [A, cohort] Biomarkers of dietary omega-6 fatty acids and incident CVD and mortality: pooled analysis — Marklund et al. (2019 · PMID: 30971107 · DOI: 10.1161/CIRCULATIONAHA.118.038908) — 30 prospective studies, 68,659 participants, 15,198 CVD events; higher LA biomarker associated with lower total CVD (HR 0.93), CV mortality (HR 0.78), ischemic stroke (HR 0.88). ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of the ketogenic diet on strength performance in trained men and women: systematic review and meta-analysis — Vargas-Molina et al. (2024 · PMID: 39064644 · DOI: 10.3390/nu16142200) — 106 squat + 119 bench press participants; no significant 1-RM differences between keto and non-keto. Replicates the strength/power arm of Wang 2025 directly. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Dietary intake and biomarkers of linoleic acid and mortality: systematic review and meta-analysis of prospective cohort studies — Li et al. (2020 · PMID: 32020162 · DOI: 10.1093/ajcn/nqz349) — 38 studies / 44 cohorts; 811,069 participants (dietary intake) + 65,411 (biomarkers); 50,786 CVD deaths. Dietary LA vs CVD mortality RR 0.87 (0.82–0.92); LA biomarkers vs CVD mortality RR 0.89 (0.85–0.94) per SD; total mortality (dietary) RR 0.87 (0.81–0.94). ⚠️ Observational pooled-cohort evidence; residual confounding cannot be fully excluded despite large N.
- [A, meta-analysis] Effects of the ketogenic diet on performance and body composition in athletes and trained adults: systematic review and meta-analysis — Koerich et al. (2023 · PMID: 35757868 · DOI: 10.1080/10408398.2022.2090894) — Bayesian multivariate multilevel meta-analysis in athletes/trained adults. 1-RM strength effect -5.7% (95% CrI -14.9% to +2.6%) — CI crosses zero, null/non-significant result. Independent Brazilian team. ⚠️ Heterogeneous study designs; mix of RCT and non-RCT; Bayesian estimation with informative priors.
Oxalates & lectins
- [B, observational] Effect of different cooking methods on vegetable oxalate content — Chai & Liebman (2005 · PMID: 15826055 · DOI: 10.1021/jf048128d) ⚠️ Observational design; cannot establish causation; older evidence (older evidence)
- [B, review] Naturally occurring food toxins — Dolan et al. (2010 · PMID: 22069686 · DOI: 10.3390/toxins2092289) ⚠️ older evidence (older evidence)
Processed meat & nitrosamines
- [B, guideline] Processed meat and colorectal cancer — IARC Monographs Vol. 114 (2015 · DOI: 10.1016/S1470-2045(15)00444-1) ⚠️ older evidence (older evidence)
- [B, review] Role of N-nitroso compounds and N-nitrosation in etiology of gastric and esophageal cancer — Mirvish (1995 · PMID: 7600541 · DOI: 10.1016/0304-3835(95)03786-V) ⚠️ older evidence (older evidence)
Gut health & microbiome
- Resistant starch — Wikipedia
- [B, review] Resistant starch as a functional food ingredient (2024 · DOI: 10.3389/fnut.2024.1369950) ⚠️ Limitation not yet assessed
- [B, review] Gut microbiota and SCFAs in response to resistant starch and fermentable fibers — Baxter et al. (2019 · PMID: 30696735 · DOI: 10.1128/mBio.02566-18) ⚠️ Limitation not yet assessed
- [B, review] Revised Estimates for the Number of Human and Bacteria Cells in the Body — Sender et al. (2016 · PMID: 27541692 · DOI: 10.1371/journal.pbio.1002533) — ~3.8×10¹³ bacteria; roughly equal to the number of human cells; replaces the outdated 10:1 ratio ⚠️ Limitation not yet assessed
- [B, review] The intestinal epithelial barrier: a therapeutic target? — Odenwald & Turner (2017 · PMID: 27848962 · DOI: 10.1038/nrgastro.2016.169) — tight junction biology: ZO-1, occludin, claudins; disease links across IBD, T2D, metabolic syndrome, neurological disorders ⚠️ Limitation not yet assessed
- [B, review] Intestinal Barrier Impairment, Preservation, and Repair: An Update — Matar & Camilleri (2024 · PMID: 39458489 · DOI: 10.3390/nu16203494) — fat increases permeability; fiber, glutamine, zinc, vitamin D, polyphenols decrease permeability; microbiome and epigenomic interactions ⚠️ Limitation not yet assessed
- [B, narrative-review] Effects of dietary components on intestinal permeability in health and disease — Khoshbin & Camilleri (2020 · PMID: 32902315 · DOI: 10.1152/ajpgi.00245.2020) — 200-reference review: fiber, SCFAs, glutamine, vitamin D improve barrier; emulsifiers, fat, alcohol worsen it ⚠️ Narrative review; no systematic search methodology
- [B, review] Human Intestinal Barrier: Effects of Stressors, Diet, Prebiotics, and Probiotics — Camilleri M (2021 · PMID: 33492118 · DOI: 10.14309/ctg.0000000000000308) — zinc and glutamine enhance barrier; fructose and ethanol increase permeability; probiotics improve barrier via SCFA production ⚠️ Limitation not yet assessed
- [B, review] What is the leaky gut? Clinical considerations in humans — Camilleri M (2021 · PMID: 34138767 · DOI: 10.1097/MCO.0000000000000778) — barrier fortified by vitamins A/D, zinc, SCFAs, glutamine; enteral glutamine reverses stress-induced leakiness ⚠️ Limitation not yet assessed
- [B, review] A Dietary Fiber-Deprived Gut Microbiota Degrades the Colonic Mucus Barrier and Enhances Pathogen Susceptibility — Desai et al. (2016 · PMID: 27863247 · DOI: 10.1016/j.cell.2016.10.043) — fiber deprivation causes bacteria to consume the mucus layer; pathogen susceptibility increases sharply without fermentable fiber ⚠️ Limitation not yet assessed
- [B, review] Dietary fiber and prebiotics and the gastrointestinal microbiota — Holscher HD (2017 · PMID: 28165863 · DOI: 10.1080/19490976.2017.1290756) — fermentation of fiber to SCFAs; bifidogenic effects; all major prebiotic classes and dose-response data ⚠️ Limitation not yet assessed
- [B, narrative-review] Short-chain fatty acids: linking diet, the microbiome and immunity — Mann, Lam & Uhlig (2024 · PMID: 38565643 · DOI: 10.1038/s41577-024-01014-8) — 502-citation landmark review; butyrate anti-inflammatory via T cells, B cells, phagocytes; systemic effects at liver, lung, brain ⚠️ Narrative review; no systematic search methodology
- [B, guideline] The Postbiotic Properties of Butyrate in Combination with Polyphenols and Dietary Fibers — Maiuolo et al. (2024 · PMID: 39000076 · DOI: 10.3390/ijms25136971) — butyrate: energy source, HDAC inhibitor, anti-inflammatory, epigenetic regulator; polyphenols and fibers drive butyrate production ⚠️ Limitation not yet assessed
- [B, guideline] Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells — Furusawa et al. (2013 · PMID: 24226770 · DOI: 10.1038/nature12721) — landmark paper; butyrate drives Treg differentiation in the colon; the mechanistic link between dietary fiber, microbiome, and immune tolerance ⚠️ older evidence (older evidence)
- [B, meta-analysis] Glutamine supplementation on gut permeability in adults: systematic review and meta-analysis — Abbasi et al. (2024 · PMID: 39397201 · DOI: 10.1007/s00726-024-03420-7) — 10 clinical trials, 352 participants; doses >30g/day significantly reduce intestinal permeability ⚠️ Limitation not yet assessed
- [B, rct] Zinc supplementation tightens leaky gut in Crohn’s disease — Sturniolo et al. (2001 · PMID: 11383597 · DOI: 10.1097/00054725-200105000-00003) — RCT; zinc significantly reduced gut permeability vs placebo in Crohn’s patients ⚠️ older evidence (older evidence)
- [C, animal] Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome — Chassaing et al. (2015 · PMID: 25731162 · DOI: 10.1038/nature14232) — polysorbate-80 and CMC at FDA-acceptable doses disrupt microbiota, erode the mucus layer, and promote colitis and metabolic syndrome ⚠️ Animal model; human translation uncertain; older evidence (older evidence)
- [B, review] Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation — Dethlefsen & Relman (2011 · PMID: 20847294 · DOI: 10.1073/pnas.1000087107) — ciprofloxacin courses cause incomplete microbiome recovery at 6 months; some taxa permanently depleted; high individual variation ⚠️ older evidence (older evidence)
- [B, rct] Gut-microbiota-targeted diets modulate human immune status — Wastyk et al. (2021 · PMID: 34256014 · DOI: 10.1016/j.cell.2021.06.019) — 17-week RCT; fermented-food diet increased microbiome diversity and decreased 19 inflammatory proteins; outperformed high-fiber diet in low-diversity individuals ⚠️ Limitation not yet assessed
- [B, review] Dietary Influences on Gut Microbiota with a Focus on Metabolic Syndrome — Thomas et al. (2022 · PMID: 35704900 · DOI: 10.1089/met.2021.0131) — high-sugar and high-fat diet induces dysbiosis and disrupts barrier; high-fiber diet reverses metabolic dysbiosis and reduces systemic inflammation ⚠️ Limitation not yet assessed
- [C, animal] Polyphenols and Microbiota Modulation: Insights from Animal Models for Human Therapeutic Strategies — Anghel et al. (2024 · PMID: 39770115 · DOI: 10.3390/molecules29246026) — polyphenols selectively modulate gut microbiota; antimicrobial vs pathogens; linked to prevention of metabolic, cardiovascular, and neurodegenerative disease ⚠️ Animal model; human translation uncertain
- [A, meta-analysis] Carbohydrate quality and human health — fiber 25-29g/day optimal — Reynolds et al. (Lancet SR series) (2019 · PMID: 30638909 · DOI: 10.1016/S0140-6736(18)31809-9) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Ultra-Processed Food Consumption and Adult Diabetes Risk — Lane et al. SR/MA (2021 · PMID: 34959961 · DOI: 10.3390/nu13124410) ⚠️ Limitation not yet assessed
- [B, review] Gut Dysbiosis Dysregulates Homeostasis via Suboptimal Mitochondrial Function — Anderson & Maes (2020 · PMID: 32003689 · DOI: 10.2174/1568026620666200131094445) ⚠️ Limitation not yet assessed
- [B, review] Arnone et al. 2022 — Sugars and gastrointestinal health: dysbiosis and barrier disruption (Clin Gastroenterol Hepatol) (2022 · PMID: 34902573 · DOI: 10.1016/j.cgh.2021.12.011) — Excessive sugar intake and hyperglycemia disrupt the intestinal barrier and cause profound gut microbiota dysbiosis; mechanism: simple sugars preferentially fuel Proteobacteria and Enterobacteriaceae while starving butyrate-producing commensals ⚠️ Review format; direct causal human RCTs on gut barrier endpoints specifically for sugar are limited; mechanistic data primarily from animal and in vitro studies
- [B, review] Guney et al. 2023 — Dietary fructose, gut permeability, microbiota, abdominal adiposity and insulin (Heliyon) (2023 · PMID: 37636431 · DOI: 10.1016/j.heliyon.2023.e18896) — Dietary high-fructose increases intestinal permeability and circulating endotoxin via disruption of tight junction proteins; also alters gut microbiota composition unfavorably ⚠️ Review; mechanistic human data on gut permeability endpoints specifically from fructose intervention is limited; most direct evidence from animal models
- [B, meta-analysis] Reimer et al. 2024 — Chicory inulin-type fructans for weight management: systematic review and meta-analysis (Am J Clin Nutr) (2024 · PMID: 39313030 · DOI: 10.1016/j.ajcnut.2024.09.019) — Inulin-type fructans significantly reduced body weight, BMI, and waist circumference; effect modest; high heterogeneity limits certainty; Grade B due to industry sole support ⚠️ Industry-funded (BENEO); considerable heterogeneity in weight outcomes I²=73%; 32 RCTs n=1184; doses 8–30g/day; most trials ≤12 weeks; weight loss -0.97kg (CI -1.38 to -0.56) (⚠️ industry-funded)
- [B, meta-analysis] Talukdar et al. 2024 — Inulin-type fructans and cardiovascular risk factors: systematic review and meta-analysis (Am J Clin Nutr) (2024 · PMID: 38309832 · DOI: 10.1016/j.ajcnut.2023.10.030) — Inulin-type fructans modestly reduced LDL-C and triglycerides; evidence certainty rated very low by GRADE; cardiovascular outcomes are all surrogate markers ⚠️ 55 RCTs n=2518; very low to low certainty of evidence (GRADE); LDL reduction -0.14 mmol/L clinically modest; no hard cardiovascular outcome data; surrogate endpoints only
- [B, rct] Genta et al. 2009 — Yacon syrup: beneficial effects on obesity and insulin resistance in humans (Clin Nutr) (2009 · PMID: 19254816 · DOI: 10.1016/j.clnu.2009.01.013) — Yacon syrup (0.14g FOS/kg/day) significantly reduced body weight, waist circumference, BMI, fasting insulin, and HOMA-IR vs placebo; GI intolerance at higher doses limited adherence ⚠️ Single study; n=40 pre-menopausal women with obesity; 120-day duration; no male participants; not independently replicated at same scale; older evidence (2009); GI tolerance issues at higher (older evidence)
- [B, systematic-review] Prebiotic fibers, probiotics, synbiotics on gut permeability/immunity — Maghsoumi-Norouzabad et al. (2025 Iran J Med Sci SR) (2025 · PMID: 40861839 · DOI: 10.30476/ijms.2024.102363.3525) ⚠️ Limitation not yet assessed
- [C, animal] Highly soluble beta-glucan fiber on glucose regulation and intestinal permeability — Marcobal et al. (2024 Nutrients) (2024 · PMID: 39064683 · DOI: 10.3390/nu16142240) ⚠️ Limitation not yet assessed
- [B, rct] Fermentable fibers + polyphenols prevent hypobaric-hypoxia intestinal permeability — Karl et al. (2025 Am J Physiol RCT) (2025 · PMID: 40701649 · DOI: 10.1152/ajpregu.00109.2025) ⚠️ Limitation not yet assessed
- [B, review] Acute pancreatitis and SIBO interplay — Cui et al. 2025 review (2025 · PMID: 40664102 · DOI: 10.1016/j.clnu.2025.06.008)
- [B, review] SIBO prevention via nutrition, prebiotics, probiotics, prokinetics — Mustafa et al. 2025 review (2025 · PMID: 40296627 · DOI: 10.2174/0113816128373584250407134451)
- [B, review] Postbiotic biodegradation of antinutrients in foods — Khani et al. 2026 review (2026 · PMID: 40658289 · DOI: 10.1007/s12602-025-10649-5)
- [B, review] Dietary fibers as drivers of SCFA homeostasis — Fan 2026 review (J Agric Food Chem) (2026 · PMID: 41816800 · DOI: 10.1021/acs.jafc.5c12022)
- [B, meta-analysis] So & Whelan 2018 — Dietary fiber intervention on gut microbiota composition in healthy adults (AJCN SR/MA, 64 studies n=2,099) (2018 · PMID: 29757343 · DOI: 10.1093/ajcn/nqy041) — Fiber (especially fructans and galacto-oligosaccharides) increased Bifidobacterium + Lactobacillus abundance and fecal butyrate vs control, but did not shift overall microbial diversity. Supports fiber-based gut-health framing; caution on “diversity” claims unsupported. ⚠️ Endpoint is microbiome composition (Bifidobacterium, Lactobacillus, fecal butyrate) — an unvalidated surrogate for clinical health outcomes. Microbial-diversity changes not significant. Heterogeneous fiber types/doses across 64 included studies.
Muscle mass & longevity
- [B, guideline] Sarcopenia: revised European consensus definition — Cruz-Jentoft et al. (2019 · PMID: 30312372 · DOI: 10.1093/ageing/afy169) ⚠️ Limitation not yet assessed
- [B, resource] Cardiorespiratory fitness and mortality — Mandsager et al. (2018 · PMID: 30646252 · DOI: 10.1001/jamanetworkopen.2018.3605)
- [B, review] Prognostic value of grip strength — Leong et al. (2015 · DOI: 10.1016/S0140-6736(14)62000-6) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Resistance exercise and lean body mass in aging adults: meta-analysis — Peterson et al. (2011 · PMID: 20543750 · DOI: 10.1249/MSS.0b013e3181eb6265) ⚠️ older evidence (older evidence)
- [B, review] Muscle as an endocrine organ: focus on muscle-derived interleukin-6 — Pedersen & Febbraio (2008 · DOI: 10.1152/physrev.90100.2007) ⚠️ older evidence (older evidence)
- [B, review] Speed endurance training is a powerful stimulus for physiological adaptations — Iaia & Bangsbo (2010 · PMID: 20840558 · DOI: 10.1111/j.1600-0838.2010.01193.x) ⚠️ older evidence (older evidence)
- [B, review] Sleep restriction decreases anabolic hormones and increases muscle breakdown — Dattilo et al. (2011 · PMID: 21550729 · DOI: 10.1016/j.mehy.2011.03.024) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Training frequency and hypertrophy: systematic review and meta-analysis — Schoenfeld et al. (2016 · PMID: 27102172 · DOI: 10.1007/s40279-016-0543-8) — Meta-analysis; training each muscle group 2×/week significantly superior to 1×/week for hypertrophy when volume is equated ⚠️ Limitation not yet assessed
- [A, meta-analysis] Dose-response relationship between weekly resistance training volume and increases in muscle mass — Schoenfeld et al. (2017 · PMID: 27433992 · DOI: 10.1080/02640414.2016.1210197) — Meta-analysis of 15 studies (34 treatment groups); graded dose-response between weekly volume and hypertrophy; each additional set associated with ES increase of 0.023; trend for greater effect with 10+ sets per muscle per week (p=0.074) ⚠️ p=0.074 for categorical analysis (<5, 5-9, 10+ sets); significant for continuous volume variable (p=0.002); heterogeneous populations and protocols across studies
- [A, meta-analysis] Proximity-to-failure and skeletal muscle hypertrophy — Refalo et al. (2022 · PMID: 36334240 · DOI: 10.1007/s40279-022-01784-y) — Systematic review with meta-analysis examining resistance training proximity-to-failure effects on muscle hypertrophy; supports training close to failure for greater hypertrophy stimulus ⚠️ Limitation not yet assessed
- [B, rct] Longer interset rest periods enhance muscle strength and hypertrophy — Schoenfeld et al. (2016 · PMID: 26605807 · DOI: 10.1519/JSC.0000000000001272) — RCT in 21 resistance-trained men; 3-minute rest intervals produced greater strength (1RM squat and bench) and hypertrophy (anterior thigh) than 1-minute rest intervals over 8 weeks ⚠️ Single RCT, n=21, young resistance-trained men only, 8-week duration; short study period limits long-term conclusions
- [C, observational] Chronic exercise preserves lean muscle mass in masters athletes — Wroblewski et al. (2011 · PMID: 22030953 · DOI: 10.3810/psm.2011.09.1933) — MRI cross-sections of masters triathletes (40-81 yr) vs sedentary controls; chronic exercise prevented age-related muscle loss and fat infiltration; 74-yr-old triathlete’s quadriceps resembled 40-yr-old’s ⚠️ Observational design; cannot establish causation; older evidence (older evidence)
- [A, meta-analysis] Cardiorespiratory fitness as a quantitative predictor of all-cause mortality — Kodama et al. (2009 · PMID: 19454641 · DOI: 10.1001/jama.2009.681) · ⚖️ mixed — Meta-analysis of 33 studies (n=102,980); 1-MET higher CRF associated with 13% reduction in all-cause mortality and 15% reduction in CVD mortality; established VO2max thresholds for mortality risk stratification ⚠️ older evidence (older evidence)
- [A, meta-analysis] Effects of ketogenic diet on muscle mass, strength, and aerobic capacity: meta-analysis 2025 (2025 · PMID: 41035089 · DOI: 10.1186/s41043-025-01090-z) · ⚖️ mixed — No significant differences in countermovement jump, squat, or bench press between keto and control diets; VO2max and time to exhaustion also not significantly different; significant decrease in fat-free mass ⚠️ Heterogeneous study designs; variable adaptation periods; fat-free mass loss is a concern
- [B, rct] Plant-based vs animal-based protein blend on muscle adaptations to resistance training — Santini et al. 2025 (2025 · PMID: 41059835 · DOI: 10.1080/15502783.2025.2568047) · ⚖️ mixed — Soy+pea blend (45g/d) vs whey (45g/d) over 12 wk RET in young untrained males: no between-group differences in whole-body lean mass, appendicular lean mass, vastus lateralis mCSA, or leg-press 1RM (all p>0.05) ⚠️ Untrained males only; 12-week duration; funded by NotCo (plant-protein company); n=44
- [A, meta-analysis] Animal vs plant protein on lean mass and muscle strength — Lim et al. 2021 meta-analysis (2021 · PMID: 33670701 · DOI: 10.3390/nu13020661) · ⚖️ mixed — 18-study meta-analysis: protein source did not affect changes in absolute lean mass or muscle strength; small favoring effect of animal protein on percent lean mass; younger adults (<50 y) gained more absolute and percent lean mass with animal protein ⚠️ Heterogeneous study designs; total protein intakes generally above RDA; fewer studies in older adults
- [B, rct] No difference in muscle growth soy vs whey when leucine-matched — Lynch et al. 2020 RCT (2020 · PMID: 32486007 · DOI: 10.3390/ijerph17113871) · ⚖️ mixed — 19g whey vs 26g soy (both 2g leucine), 12 wk RET in untrained men/women: no significant differences in lean body mass or peak torque of leg extensors/flexors between groups ⚠️ Small sample (n=48 completers); untrained participants; 12-week duration; leucine matching required higher soy dose
- [A, meta-analysis] Whey vs soy protein on RET outcomes in young adults — Davis et al. 2025 meta-analysis (2025 · PMID: 41454445 · DOI: 10.1080/19390211.2025.2604679) · ⚖️ mixed — 12-study meta-analysis (261 participants): no significant effect of whey or soy on LBM; whey significantly improved bench press (MD 8.87 kg) and squat (MD 9.60 kg); whey raised plasma EAA more ⚠️ Only 12 studies with 261 participants; restricted to ages 18-30; most studies short duration
- [C, animal] A PGC1-alpha-dependent myokine that drives brown-fat-like development of white fat and thermogenesis — Boström et al. 2012 (2012 · PMID: 22237023 · DOI: 10.1038/nature10777) — Discovery of irisin: exercise-induced PGC1-alpha → FNDC5 cleavage → irisin → browning of subcutaneous white adipose tissue in mice. Demonstrated increased energy expenditure and improved glucose tolerance. Landmark paper but primary browning evidence is in rodents; human translation debated. ⚠️ Mouse model primary evidence; human circulating irisin levels do increase with exercise but magnitude of browning at physiological doses in human adipose tissue remains uncertain; antibody (older evidence)
- [A, meta-analysis] Resistance training and mortality risk: systematic review and meta-analysis — Shailendra et al. (2022 · PMID: 35599175 · DOI: 10.1016/j.amepre.2022.03.020) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Handgrip strength measurement protocols and mortality across 3M+ participants: systematic review and meta-regression — Núñez-Cortés et al. (2022 · PMID: 36215867 · DOI: 10.1016/j.clnu.2022.09.006) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Protein supplementation + resistance training, mass/strength meta-regression — Morton et al. (2018 BJSM MA) (2018 · PMID: 28698222 · DOI: 10.1136/bjsports-2017-097608) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Protein + resistance training on appendicular lean mass and grip strength in older adults — Kirwan et al. (2022 AJCN MA) (2022 · PMID: 34673936 · DOI: 10.1093/ajcn/nqab355) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Protein > RDA on whole-body lean mass under catabolic/anabolic stressors — Hudson et al. (2020 Adv Nutr MA) (2020 · PMID: 31794597 · DOI: 10.1093/advances/nmz106) ⚠️ Limitation not yet assessed
- [B, rct] Ingested protein dose response of muscle and albumin protein synthesis after resistance exercise in young men — Moore et al. (2009 · PMID: 19056590 · DOI: 10.3945/ajcn.2008.26401) — Canonical per-meal protein dose-response study in young men post-resistance exercise; ~20 g of intact egg protein was sufficient to maximally stimulate MPS and APS, with 40 g producing only further oxidation rather than additional MPS. Foundational source of the ~20 g per-meal ceiling claim. ⚠️ Small sample; young healthy men only; single meal / acute window; whole-body MPS inferred from labelled-leucine methodology (older evidence)
- [B, rct] Timing and distribution of protein ingestion during prolonged recovery from resistance exercise alters myofibrillar protein synthesis — Areta et al. (2013 · PMID: 23459753 · DOI: 10.1113/jphysiol.2012.244897) — 12-h post-exercise comparison of 4x20 g vs 2x40 g vs 8x10 g whey. The 4x20 g pattern produced the greatest cumulative myofibrillar MPS, supporting the moderate-doses-every-3h prescription underlying the per-meal ceiling claim. ⚠️ Small sample of trained males; acute 12-h window; whey only; single exercise bout (older evidence)
- [B, meta-analysis] Whey protein supplementation in postmenopausal women — Kuo et al. 2022 SR/MA (2022 · PMID: 36235862 · DOI: 10.3390/nu14194210)
- [B, meta-analysis] Energy deficiency impairs resistance training gains in lean mass but not strength — Murphy & Koehler 2022 SR/MA (2022 · PMID: 34623696 · DOI: 10.1111/sms.14075)
- [A, meta-analysis] Resistance training dose-response meta-regressions on weekly volume and frequency for hypertrophy and strength — Pelland et al. (2026 · PMID: 41343037 · DOI: 10.1007/s40279-025-02344-w) — Meta-regression of weekly volume and frequency effects on hypertrophy and strength. Independent replicator (Pelland/Zourdos team) of Schoenfeld 2016 frequency MA and Schoenfeld 2017 volume dose-response MA. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Resistance training performed to failure or not to failure on strength, hypertrophy, and power: systematic review and meta-analysis — Vieira et al. (2021 · PMID: 33555822 · DOI: 10.1519/JSC.0000000000003936) — Failure vs non-failure MA with fully independent author team (Vieira, Umpierre, Teodoro, Lisboa, Baroni, Izquierdo, Cadore). No Refalo or Schoenfeld co-authorship. ⚠️ Limitation not yet assessed
- [A, systematic-review] Cardiorespiratory fitness is a strong and consistent predictor of morbidity and mortality: umbrella review of 20.9M observations — Lang et al. (2024 · PMID: 38599681 · DOI: 10.1136/bjsports-2023-107849) · ⚖️ mixed — Umbrella review across 199 cohorts; HR 0.47 high vs low CRF. Confirms Kodama 2009 direction with an order of magnitude more evidence. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Association of resistance training with mortality: systematic review and meta-analysis — Saeidifard et al. (2019 · PMID: 31104484 · DOI: 10.1177/2047487319850718) — 370,256 participants, 11 studies, 8.85y follow-up; 21% lower all-cause mortality with RT, 40% when combined with aerobic exercise. Clean predecessor MA to Shailendra 2022. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Thresholds of handgrip strength for all-cause, cancer, and cardiovascular mortality: dose-response meta-analysis — López-Bueno et al. (2022 · PMID: 36332759 · DOI: 10.1016/j.arr.2022.101778) — 3,135,473 participants aged 35-85; close-to-linear inverse HGS-mortality relationship with thresholds identified. Independent of Núñez-Cortés 2022. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of the ketogenic diet on strength performance in trained men and women: systematic review and meta-analysis — Vargas-Molina et al. (2024 · PMID: 39064644 · DOI: 10.3390/nu16142200) — 106 squat + 119 bench press participants; no significant 1-RM differences between keto and non-keto. Replicates the strength/power arm of Wang 2025 directly. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of the ketogenic diet on performance and body composition in athletes and trained adults: systematic review and meta-analysis — Koerich et al. (2023 · PMID: 35757868 · DOI: 10.1080/10408398.2022.2090894) — Bayesian multivariate multilevel meta-analysis in athletes/trained adults. 1-RM strength effect -5.7% (95% CrI -14.9% to +2.6%) — CI crosses zero, null/non-significant result. Independent Brazilian team. ⚠️ Heterogeneous study designs; mix of RCT and non-RCT; Bayesian estimation with informative priors.
Creatine
- [B, guideline] ISSN Position Stand: safety and efficacy of creatine in exercise, sport, and medicine — Kreider et al. (2017 · PMID: 28615996 · DOI: 10.1186/s12970-017-0173-z) — comprehensive review; up to 30g/day for 5 years confirmed safe; covers performance, brain, and clinical applications ⚠️ Limitation not yet assessed
- [B, review] Effects of creatine supplementation on performance and training adaptations — Kreider (2003 · PMID: 12701815) — 300+ studies; +5–15% maximal strength/power and sprint work capacity ⚠️ older evidence (older evidence)
- [B, rct] Oral creatine monohydrate supplementation improves brain performance — Rae et al. (2003 · PMID: 14561278 · DOI: 10.1098/rspb.2003.2492) — RCT; significant improvements in working memory and intelligence test scores ⚠️ older evidence (older evidence)
- [B, rct] Creatine supplementation and cognitive performance in elderly individuals — McMorris et al. (2007 · PMID: 17828627 · DOI: 10.1080/13825580600788100) — RCT; significant cognitive benefit across memory and reasoning tasks in older adults ⚠️ older evidence (older evidence)
- [B, systematic-review] Effects of creatine on cognitive function: systematic review of RCTs — Avgerinos et al. (2018 · PMID: 29704637 · DOI: 10.1016/j.exger.2018.04.013) — 6 RCTs; short-term memory and reasoning improved; benefit strongest in aging and stressed populations ⚠️ Limitation not yet assessed
- [B, meta-analysis] Creatine supplementation on memory: systematic review and meta-analysis — Prokopidis et al. (2023 · PMID: 35984306 · DOI: 10.1093/nutrit/nuac064) — 10 RCTs; improved memory vs placebo; effect much stronger in older adults 66–76y (SMD=0.88) ⚠️ Limitation not yet assessed
- [B, rct] Creatine supplementation on cognitive performance: largest RCT to date — Sandkühler et al. (2023 · PMID: 37968687 · DOI: 10.1186/s12916-023-03146-5) — n=123, crossover double-blind, 5g/day; Bayesian evidence for small beneficial effect on working memory ⚠️ Limitation not yet assessed
- [B, meta-analysis] Creatine supplementation on cognitive function in adults: meta-analysis — Xu et al. (2024 · PMID: 39070254 · DOI: 10.3389/fnut.2024.1424972) — 16 RCTs; improved memory, attention, processing speed; benefit strongest in diseased individuals and females ⚠️ Limitation not yet assessed
- [B, review] Creatine supplementation in depression: mechanisms, efficacy, clinical outcomes — Juneja et al. (2024 · PMID: 39553021 · DOI: 10.7759/cureus.71638) — enhances brain energy metabolism; reduces depressive symptoms; positive as SSRI adjunct ⚠️ Limitation not yet assessed
- [B, review] Creatine supplementation and the brain: have we put the cart before the horse? — Candow et al. (2026 · PMID: 41556609 · DOI: 10.1080/19390211.2026.2616440) — brain creatine increases with supplementation but response is dose/duration dependent; consistent benefit in metabolic stress states; no reliable benefit in healthy young adults at rest ⚠️ Limitation not yet assessed
- [B, rct] Creatine improves total sleep duration on resistance training days in females — Cruz et al. (2024 · PMID: 39203908 · DOI: 10.3390/nu16162772) — RCT; 5g/day × 6 weeks; ~48 min more total sleep on workout days vs placebo; no chronic sleep quality change ⚠️ Limitation not yet assessed
- [B, rct] Creatine loading improves subjective sleep quality in active men — Ben Maaoui et al. (2025 · PMID: 41470776 · DOI: 10.3390/nu17243831) — RCT crossover; 20g/day × 7 days; improved subjective sleep quality (d=0.81); no change in objective actigraphy ⚠️ Limitation not yet assessed
- [B, rct] Creatine supplementation and sleep deprivation: cognitive and psychomotor performance — McMorris et al. (2006 · DOI: 10.1007/s00213-005-0269-z) — RCT; 20g/day × 7 days loading; improved cognitive and psychomotor performance during 24h sleep deprivation with mild exercise ⚠️ older evidence (older evidence)
- [B, rct] Single dose creatine improves cognitive performance during sleep deprivation — Gordji-Nejad et al. (2024 · DOI: 10.1038/s41598-024-54249-9) — RCT; single dose 0.35g/kg (~25g for 70kg); improved cognition and increased cerebral phosphocreatine during 21h sleep deprivation measured by 31P-MRS ⚠️ Limitation not yet assessed
- [B, rct] del Favero et al. — Creatine but not betaine increases muscle phosphocreatine and strength (2012 · PMID: 21744011 · DOI: 10.1007/s00726-011-0972-5) · ⚖️ mixed — RCT; creatine increased muscle PCr and strength, betaine did not — betaine does not replace creatine for energy ⚠️ Short duration (15 days), trained population only (older evidence)
- [C, rct] Three weeks of creatine monohydrate supplementation affects dihydrotestosterone to testosterone ratio in college-aged rugby players — van der Merwe et al. 2009 (2009 · PMID: 19741313 · DOI: 10.1097/JSM.0b013e3181b8b52f) · ⚖️ mixed — n=20, double-blind RCT. 7-day loading (25g/day) then 14-day maintenance (5g/day). DHT increased 56% during loading, remained 40% above baseline during maintenance. Testosterone unchanged. This is the SOLE origin of the creatine-hair-loss concern. Study did NOT measure hair loss or follicle health — only hormone levels. DHT remained within normal physiological range. Never replicated in 15+ years; a 2021 systematic review of 12 trials found only this study showed DHT changes. ⚠️ Very small sample (n=20); single population (young male rugby players); DHT measured but no hair outcomes; never replicated; results conflict with all subsequent studies (older evidence)
- [B, rct] Does creatine cause hair loss? A 12-week randomized controlled trial — 2025 (2025 · DOI: 10.1080/15502783.2025.2495229) · ⚡ contradicting — 12-week RCT directly measuring hair density, follicle health, and hormone levels during creatine supplementation. No differences in hair growth, hair density, or DHT levels between creatine and placebo groups. First RCT to directly address the hair loss claim with relevant outcome measures (hair, not just hormones). Effectively refutes the single 2009 van der Merwe finding. ⚠️ Single study; full sample size and population details not yet independently verified; pre-print/early publication
Sleep
- [B, review] Creatine supplementation and the brain: have we put the cart before the horse? — Candow et al. (2026 · PMID: 41556609 · DOI: 10.1080/19390211.2026.2616440) — brain creatine increases with supplementation but response is dose/duration dependent; consistent benefit in metabolic stress states; no reliable benefit in healthy young adults at rest ⚠️ Limitation not yet assessed
- [B, review] Sleep and Human Aging — Mander, Winer & Walker (2017 · PMID: 28384471 · DOI: 10.1016/j.neuron.2017.02.004) ⚠️ Limitation not yet assessed
- [B, review] Sleep restriction decreases anabolic hormones and increases muscle breakdown — Dattilo et al. (2011 · PMID: 21550729 · DOI: 10.1016/j.mehy.2011.03.024) ⚠️ older evidence (older evidence)
- [B, review] The thermophysiological cascade leading to sleep initiation — Kräuchi (2007 · PMID: 17764994 · DOI: 10.1016/j.smrv.2007.07.001) ⚠️ older evidence (older evidence)
- [B, rct] Action spectrum for melatonin regulation in humans — Brainard et al. (2001 · PMID: 11487664 · DOI: 10.1523/JNEUROSCI.21-16-06405.2001) ⚠️ older evidence (older evidence)
- [B, rct] Creatine improves total sleep duration on resistance training days in females — Cruz et al. (2024 · PMID: 39203908 · DOI: 10.3390/nu16162772) — RCT; 5g/day × 6 weeks; ~48 min more total sleep on workout days vs placebo; no chronic sleep quality change ⚠️ Limitation not yet assessed
- [B, rct] Creatine loading improves subjective sleep quality in active men — Ben Maaoui et al. (2025 · PMID: 41470776 · DOI: 10.3390/nu17243831) — RCT crossover; 20g/day × 7 days; improved subjective sleep quality (d=0.81); no change in objective actigraphy ⚠️ Limitation not yet assessed
- [B, rct] Creatine supplementation and sleep deprivation: cognitive and psychomotor performance — McMorris et al. (2006 · DOI: 10.1007/s00213-005-0269-z) — RCT; 20g/day × 7 days loading; improved cognitive and psychomotor performance during 24h sleep deprivation with mild exercise ⚠️ older evidence (older evidence)
- [B, rct] Single dose creatine improves cognitive performance during sleep deprivation — Gordji-Nejad et al. (2024 · DOI: 10.1038/s41598-024-54249-9) — RCT; single dose 0.35g/kg (~25g for 70kg); improved cognition and increased cerebral phosphocreatine during 21h sleep deprivation measured by 31P-MRS ⚠️ Limitation not yet assessed
- [A, meta-analysis] Sleep duration and all-cause mortality — systematic review and meta-analysis — Cappuccio et al. (2010 · PMID: 20469800 · DOI: 10.5665/sleep.2004) — Meta-analysis; short sleep (<6h) and long sleep (>9h) both associated with increased all-cause mortality ⚠️ older evidence (older evidence)
- [B, rct] Sleep restriction reduces testosterone by 10–15% in young men — Leproult & Van Cauter (2011 · PMID: 21632481 · DOI: 10.1001/jama.2011.710) — 5h sleep × 5 nights; 10–15% testosterone reduction; equivalent to 10–15 years of aging ⚠️ older evidence (older evidence)
- [B, rct] Blue Light and Melatonin Suppression — Chang et al. (2015 · PMID: 25535358 · DOI: 10.1073/pnas.1418490112) ⚠️ older evidence (older evidence)
- [B, rct] Glycine improves daytime performance in sleep-restricted healthy volunteers — Bannai et al. 2012 (2012 · PMID: 22529837 · DOI: 10.3389/fneur.2012.00061) — 3g glycine before bed reduced fatigue and improved psychomotor vigilance in sleep-restricted subjects vs placebo. Also modulated SCN neuropeptides (AVP, VIP) in rat model without altering circadian clock genes. Small study. ⚠️ Small sample size; sleep restriction was artificial (25% reduction for 3 nights); subjective endpoints; rat SCN data may not translate to humans; older evidence (older evidence)
- [C, meta-analysis] Mah & Pitre 2021 — Oral magnesium supplementation for insomnia in older adults (BMC Complement Med Ther SR/MA) (2021 · PMID: 33865376 · DOI: 10.1186/s12906-021-03297-z) · ⚖️ mixed — Magnesium reduced sleep onset latency by ~17 minutes vs placebo (3 RCTs). Total sleep time improvements not significant. Authors note Mg is cheap and widely available, but caution against strong recommendations. Context for Mg-sleep claims in sleep post. ⚠️ Only 3 RCTs included; all with moderate-to-high bias risk. Evidence quality rated low-to-very-low (GRADE). Total sleep time difference not statistically significant.
Caffeine
- [B, guideline] Interindividual differences in caffeine metabolism and factors driving caffeine consumption — Nehlig (2018 · PMID: 29514871 · DOI: 10.1124/pr.117.014407) ⚠️ Limitation not yet assessed
- [B, review] Arousal effect of caffeine depends on adenosine A2A receptors — Lazarus et al. (2011 · PMID: 21734299 · DOI: 10.1523/JNEUROSCI.6730-10.2011) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Effects of caffeine intake on muscle strength and power — Grgic et al. (2018 · PMID: 29527137 · DOI: 10.1186/s12970-018-0216-0) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Acute caffeine ingestion on endurance performance — Southward et al. (2018 · PMID: 29876876 · DOI: 10.1007/s40279-018-0939-8) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Caffeine and cognitive functions in sports — Lorenzo Calvo et al. (2021 · PMID: 33800853 · DOI: 10.3390/nu13030868) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Caffeine following sleep loss on cognitive and physical performance — Irwin et al. (2020 · PMID: 31837359 · DOI: 10.1016/j.neubiorev.2019.12.008) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Caffeine on risk and progression of Parkinson’s disease — Hong et al. (2020 · PMID: 32580456 · DOI: 10.3390/nu12061860) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Coffee consumption and risk of type 2 diabetes — Ding et al. (2014 · PMID: 24459154 · DOI: 10.2337/dc13-1203) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Coffee consumption and the risk of cirrhosis — systematic review and meta-analysis — Kennedy et al. (2016 · PMID: 26806124 · DOI: 10.1111/apt.13523) ⚠️ Limitation not yet assessed
- [B, systematic-review] Systematic review of adverse effects of caffeine — Wikoff et al. (2017 · PMID: 28438661 · DOI: 10.1016/j.fct.2017.04.002) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Maternal caffeine intake and low birth weight — Chen et al. (2014 · PMID: 25238871 · DOI: 10.1186/s12916-014-0174-6) ⚠️ older evidence (older evidence)
- [B, review] Caffeine withdrawal empirical validation — Juliano & Griffiths (2004 · PMID: 15448977 · DOI: 10.1007/s00213-004-2000-x) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Caffeine and ventricular arrhythmia — Zuchinali et al. (2016 · PMID: 26443445 · DOI: 10.1093/europace/euv261) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Coffee decaf and tea consumption and type 2 diabetes — Huxley et al. (2009 · PMID: 20008687 · DOI: 10.1001/archinternmed.2009.439) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Coffee consumption and NAFLD and liver fibrosis — Hayat et al. (2021 · PMID: 32920163 · DOI: 10.1016/j.aohep.2020.08.071) ⚠️ Limitation not yet assessed
- [B, rct] Coffee diterpenes cafestol and kahweol on serum lipids — Urgert et al. (1997 · PMID: 9022539 · DOI: 10.1093/ajcn/65.2.519) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Chlorogenic acid on blood pressure — Onakpoya et al. (2015 · PMID: 24943289 · DOI: 10.1038/jhh.2014.46) ⚠️ industry-funded; older evidence (older evidence) (⚠️ industry-funded)
- [B, review] Coffee components on gastrointestinal tract and brain-gut axis — Iriondo-DeHond et al. (2020 · PMID: 33383958 · DOI: 10.3390/nu13010088) ⚠️ Limitation not yet assessed
- [B, review] Coffee on gut microbiota and bowel functions — Saygili et al. (2024 · PMID: 39339755 · DOI: 10.3390/nu16183155) ⚠️ Limitation not yet assessed
- [B, rct] Caffeine effects on sleep taken 0, 3, or 6 hours before bed — Drake et al. (2013 · PMID: 24235903 · DOI: 10.5664/jcsm.3170) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Caffeine on subsequent sleep — systematic review and meta-analysis — Gardiner et al. (2023 · PMID: 36870101 · DOI: 10.1016/j.smrv.2023.101764) ⚠️ Limitation not yet assessed
- [B, rct] Combined effects of L-theanine and caffeine on cognition and mood — Owen et al. (2008 · PMID: 18681988 · DOI: 10.1179/147683008X301513) ⚠️ industry-funded; older evidence (older evidence) (⚠️ industry-funded)
- [B, rct] L-theanine and caffeine combination on cognition and alertness — Giesbrecht et al. (2010 · PMID: 21040626 · DOI: 10.1179/147683010X12611460764840) ⚠️ industry-funded; older evidence (older evidence) (⚠️ industry-funded)
- [B, meta-analysis] Tea constituents L-theanine, caffeine, EGCG on cognition — systematic review — Camfield et al. (2014 · PMID: 24946991 · DOI: 10.1111/nure.12120) ⚠️ industry-funded; older evidence (older evidence) (⚠️ industry-funded)
- [B, rct] No dehydration with moderate daily coffee — counterbalanced cross-over — Killer et al. (2014 · PMID: 24416202 · DOI: 10.1371/journal.pone.0084154) ⚠️ industry-funded; older evidence (older evidence) (⚠️ industry-funded)
- [B, rct] Hydration indices during 11 days controlled caffeine — Armstrong et al. (2005 · PMID: 16131696 · DOI: 10.1123/ijsnem.15.3.252) ⚠️ older evidence (older evidence)
- [B, rct] Caffeine stimulation of cortisol across waking hours — Lovallo et al. (2005 · PMID: 16204431 · DOI: 10.1097/01.psy.0000181270.20036.06) ⚠️ older evidence (older evidence)
- [B, rct] Exercise endurance after caffeine in users and nonusers — Bell & McLellan (2002 · PMID: 12235019 · DOI: 10.1152/japplphysiol.00187.2002) ⚠️ older evidence (older evidence)
- [B, meta-analysis] Dietary acrylamide and site-specific cancer risk — dose-response meta-analysis — Filippini et al. (2022 · PMID: 35548558 · DOI: 10.3389/fnut.2022.875607) — Systematic review and dose-response meta-analysis of 16 epidemiological studies (1,151,189 participants). No association between dietary acrylamide and any site-specific cancer. Observational data only — grade B. ⚠️ Limitation not yet assessed
- [B, systematic-review] Dietary acrylamide exposure and cancer — systematic review — Başaran et al. (2023 · PMID: 36673439 · DOI: 10.3390/foods12020346) — Systematic review of 63 epidemiological studies. No clear positive relationship between dietary acrylamide and cancer. ⚠️ Limitation not yet assessed
- [C, narrative-review] Acrylamide in coffee — formation and mitigation strategies — review — Schouten et al. (2020 · PMID: 31905027 · DOI: 10.1080/10408398.2019.1708264) — Narrative review of acrylamide formation during coffee roasting. Highest levels at light/medium roast (730 µg/kg in Arabica). Food chemistry review — not a clinical outcome study. ⚠️ Narrative review; no systematic search methodology
- [C, review] Processing methods and acrylamide in coffee Arabica — Cwiková et al. (2022 · PMID: 37431043 · DOI: 10.3390/foods11203295) · ⚖️ mixed — Lab study of 15 Arabica samples. Found dark roasting increased acrylamide (303 vs 260 µg/kg for light), contradicting majority of literature. Authors noted possible storage-time confounding. ⚠️ Limitation not yet assessed
- [C, review] Acrylamide and furanic compounds in coffee — roasting methods — Kung et al. (2024 · PMID: 39147470 · DOI: 10.1016/j.foodres.2024.114800) — Lab study of Arabica coffee. Light roast acrylamide 93.7 µg/kg vs higher in very dark roast (245°C). Reducing acrylamide via darker roasting increases furan and alkylfurans. ⚠️ Limitation not yet assessed
- [C, review] Safest roasting times of coffee to reduce carcinogenicity — Kim et al. (2022 · PMID: 35226750 · DOI: 10.4315/JFP-21-427) — Ames mutagenicity test on light, medium, dark roast coffee from 3 origins. Lighter roast showed higher mutagenicity, reduced to control level in dark roast. ⚠️ Limitation not yet assessed
- [C, review] Antagonistic effects of acrylamide mitigation during coffee roasting — Lachenmeier et al. (2019 · PMID: 30577687 · DOI: 10.3390/toxics7010001) — Reducing acrylamide via darker roasting increases furfuryl alcohol, furan, and 5-HMF — no single roast level minimises all process contaminants simultaneously. ⚠️ Limitation not yet assessed
- [B, cohort] Coffee subtypes (ground, instant, decaf) and incident CVD, arrhythmias, and mortality — UK Biobank — Chieng et al. 2022 (2022 · PMID: 36162818 · DOI: 10.1093/eurjpc/zwac189) — 449,563 UK Biobank participants, median 12.5yr follow-up. All coffee subtypes (ground, instant, decaf) associated with reduced all-cause mortality vs non-drinkers. Decaf at 2-3 cups/day: HR 0.86 for mortality, reduced CVD risk. However decaf did NOT reduce arrhythmia risk — only ground and instant (caffeinated) coffee did. Supports: coffee matrix drives mortality/CVD benefit, caffeine drives arrhythmia protection. ⚠️ Observational; self-reported coffee intake at baseline only; UK Biobank participants skew healthier than general population; residual confounding
- [A, meta-analysis] Caffeinated and decaffeinated coffee and all-cause mortality — dose-response meta-analysis — Li et al. 2019 (2019 · PMID: 30786114 · DOI: 10.1111/jhn.12633) — 21 cohort studies, 10.1 million participants, 240,303 deaths. Nonlinear dose-response: 3 cups/day associated with 13% lower all-cause mortality (RR 0.87, 95% CI 0.84-0.89). Similar inverse associations for both caffeinated and decaffeinated coffee. Strengthens evidence that coffee benefits are largely independent of caffeine content. ⚠️ All component studies observational; healthy user bias; heterogeneity in coffee measurement and preparation; does not distinguish brewing methods
Vitamin D & K2
- [B, review] A ChIP-seq defined genome-wide map of vitamin D receptor binding — Ramagopalan et al. (2010 · PMID: 20736230 · DOI: 10.1101/gr.107920.110) — ~3% of the human genome has VDR binding sites; hundreds of genes across immune, metabolic, and brain function directly regulated by vitamin D ⚠️ older evidence (older evidence)
- [B, review] Vitamin D toxicity — a clinical perspective — Marcinowska-Suchowierska et al. (2018 · PMID: 30294301 · DOI: 10.3389/fendo.2018.00550) — safety thresholds and clinical presentations ⚠️ Limitation not yet assessed
- [B, rct] Dietary fat increases vitamin D-3 absorption — Dawson-Hughes et al. (2015 · PMID: 25441954 · DOI: 10.1016/j.jand.2014.09.014) — fat consumed with vitamin D significantly increases 25(OH)D levels ⚠️ older evidence (older evidence)
- [B, review] Type of dietary fat associated with 25-hydroxyvitamin D3 increment in response to supplementation (2011 · PMCID: PMC3200243 · DOI: 10.1210/jc.2011-1518) — monounsaturated fat optimal for VD absorption ⚠️ older evidence (older evidence)
- [B, rct] The effect of combined magnesium and vitamin D supplementation on vitamin D status — Cheung et al. (2022 · PMID: 35576873 · DOI: 10.1016/j.nut.2022.111674) — magnesium required for VD activation; combined supplementation more effective than VD alone ⚠️ Limitation not yet assessed
- [B, review] Suboptimal magnesium status in the United States: are the health consequences underestimated? — Rosanoff et al. (2012 · PMID: 22364157 · DOI: 10.1111/j.1753-4887.2011.00465.x) — majority of the population inadequate in magnesium; impacts VD activation and dozens of enzymatic processes ⚠️ older evidence (older evidence)
- [B, rct] 3-year MK-7 (vitamin K2) supplementation improves bone density in postmenopausal women — Knapen et al. (2013 · PMID: 23525894 · DOI: 10.1007/s00198-013-2325-6) — significant benefit on bone strength and arterial stiffness ⚠️ older evidence (older evidence)
- [B, meta-analysis] Efficacy of vitamin K2 in prevention and treatment of postmenopausal osteoporosis (2022 · PMID: 36033779 · DOI: 10.3389/fpubh.2022.979649) ⚠️ Limitation not yet assessed
- [B, rct] Vitamin K2 and D supplementation in patients with aortic valve calcification (2022 · PMID: 35465686 · DOI: 10.1161/CIRCULATIONAHA.121.057008) ⚠️ Limitation not yet assessed
- [B, review] Effects of vitamin K2 and D supplementation on coronary artery disease in men (2024 · PMID: 38938724 · DOI: 10.1016/j.jacadv.2023.100643) ⚠️ Limitation not yet assessed
- [B, rct] Annual high-dose oral vitamin D increases fall risk in older women — Sanders et al. (2010 · PMID: 20460620 · DOI: 10.1001/jama.2010.594) · ⚖️ mixed — warning: single annual megadose backfired; supports daily low-dose protocol ⚠️ older evidence (older evidence)
- [B, rct] Urinary tract stone risk in the Women’s Health Initiative calcium + vitamin D trial (2011 · PMID: 21525191 · DOI: 10.3945/ajcn.110.003350) · ⚖️ mixed — elevated stone risk; supports K2 co-supplementation for calcium routing ⚠️ older evidence (older evidence)
- [B, meta-analysis] Long-term supplementation with 3200–4000 IU vitamin D daily is safe and effective (2023 · PMID: 36853379 · DOI: 10.1007/s00394-023-03124-w) ⚠️ Limitation not yet assessed
- [B, review] Telomere Homeostasis: Interplay with Magnesium — Maguire et al. (2018 · PMID: 29303978 · DOI: 10.3390/ijms19010157) ⚠️ Limitation not yet assessed
- [B, review] Nongenomic Activities of Vitamin D — Żmijewski (2022 · PMID: 36501134 · DOI: 10.3390/nu14235104) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Vitamin D supplementation and mortality / cardiovascular outcomes: meta-analysis of 80 RCTs — Ruiz-García et al. (2023 · PMID: 37111028 · DOI: 10.3390/nu15081810) — n=163,131 (82,210 vitamin D vs 80,921 placebo/no-treatment) across 80 RCTs; mean age 66.1y, 68.6% female. All-cause mortality OR 0.95 (95% CI 0.91-0.99, p=0.013) — modest reduction; cardiovascular mortality NOT statistically reduced (authors’ conclusion); cancer/non-CV mortality OR 0.94 (95% CI 0.87-1.00, p=0.055) borderline. Shared “CV-mortality null” finding with Zhang 2019 (RR 0.98, 0.88-1.08). ⚠️ Published in Nutrients (MDPI); all-cause mortality finding (OR 0.95, 0.91-0.99) not replicated in Zhang 2019 BMJ meta-analysis of 52 RCTs (RR 0.98, 0.95-1.02 null); CV mortality null finding does replicate across independent meta-analyses. Pooled heterogeneity across baseline 25(OH)D status, dose, and co-supplementation not modeled.
- [B, review] Role of magnesium in vitamin D activation and function — Uwitonze & Razzaque (2018 JAOA review) (2018 · PMID: 29480918 · DOI: 10.7556/jaoa.2018.037) ⚠️ Limitation not yet assessed
- [B, review] Essential nutrient interactions: magnesium, vitamin D and calcium status — Rosanoff et al. (2016 Adv Nutr) (2016 · PMID: 26773013 · DOI: 10.3945/an.115.008631) ⚠️ Limitation not yet assessed
- [B, rct] Combined vitamin D + magnesium on bone turnover and glycemic markers — Dall et al. (2023 Nutr Res RCT) (2023 · PMID: 36640582 · DOI: 10.1016/j.nutres.2022.12.005) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Zhang et al. 2019 — Vitamin D supplementation and mortality (BMJ systematic review + meta-analysis, 52 RCTs, n=75,454) (2019 · PMID: 31405892 · DOI: 10.1136/bmj.l4673) · ⚖️ mixed — All-cause mortality null (RR 0.98, 95% CI 0.95–1.02); cancer mortality reduced 16% (RR 0.84, 95% CI 0.74–0.95); cardiovascular mortality null (RR 0.98, 95% CI 0.88–1.08); non-cancer/non-CV mortality null (RR 1.05, 95% CI 0.93–1.18). Canonical reference for null-to-modest effect of vitamin D supplementation on mortality endpoints at commonly-studied doses. ⚠️ Large SR+MA of 52 RCTs (n=75,454) in adults; heterogeneity across dose, duration, baseline 25(OH)D status, and calcium co-supplementation; cancer-mortality benefit restricted to trials with adequate follow-up; no dose-response modeling.
- [A, meta-analysis] de Souza et al. 2024 — Vitamin D and fracture incidence in the elderly healthy population (JGIM meta-analysis of RCTs, n=71,899) (2024 · PMID: 38997531 · DOI: 10.1007/s11606-024-08933-1) · ⚖️ mixed — No significant effect on total fracture incidence (RR 1.03, 95% CI 0.93–1.14, p=0.56); increased hip-fracture risk in women (RR 1.34, 95% CI 1.06–1.70, p=0.01); no effect on falls (RR 1.01, 95% CI 0.97–1.04). Authors recommend against high intermittent doses without calcium co-supplementation in elderly with unknown vitamin D status. Contradiction-search candidate — harm signal and null total-fracture effect counter the “vitamin D prevents fractures” narrative. ⚠️ Meta-analysis of RCTs in elderly (≥60 years, n=71,899, 51.2% female) without pre-existing bone conditions; heterogeneity across dose schedules (daily vs intermittent/bolus); calcium co-supplementation status varied across included trials; hip-fracture harm signal confined to women subgroup.
- [A, meta-analysis] Kuznia et al. 2023 — Vitamin D3 and cancer mortality (individual-patient-data meta-analysis of 14 RCTs, n=104,727, Ageing Res Rev) (2023 · PMID: 37004841 · DOI: 10.1016/j.arr.2023.101923) · ⚖️ mixed — Overall cancer-mortality effect null (RR 0.94, 95% CI 0.86–1.02, 6% reduction not significant). Daily-dosing subgroup (10 trials) reduced cancer mortality 12% (RR 0.88, 95% CI 0.78–0.98); bolus-dosing subgroup (4 trials) null/adverse (RR 1.07, 95% CI 0.91–1.24). Supports daily-dosing protocol over intermittent megadose for cancer-mortality outcomes. ⚠️ IPD meta-analysis of 14 RCTs (n=104,727, 2,015 cancer deaths); subgroup contrast of daily vs bolus dosing is post hoc but consistent with pharmacokinetic rationale; trial populations skew older and generally supplement-naive; overall effect not statistically significant.
- [B, review] Jenkins et al. 2021 — Supplemental vitamins and minerals for CVD prevention and treatment (JACC Focus Seminar review) (2021 · PMID: 33509399 · DOI: 10.1016/j.jacc.2020.09.619) — Null CVD effects for vitamin D (and multivitamins, calcium, vitamin C). Moderate-quality evidence supporting folic acid and B vitamins for stroke prevention. Increased mortality risk reported with niacin + statin combination. Contradiction-search candidate — vitamin D alone did not reduce CVD events in included evidence base. ⚠️ JACC Focus Seminar narrative/scoping review synthesizing prior RCTs and meta-analyses across folic acid, B vitamins, multivitamins, vitamin D, calcium, vitamin C, niacin; not a de novo systematic review with pre-registered protocol; heterogeneous populations and dosing regimens across cited evidence.
- [B, review] Uçar & Holick 2025 — Cutaneous vitamin D3 synthesis and skin cancer prevention (Nutrients review) (2025 · PMID: 39940244 · DOI: 10.3390/nu17030386) — Comprehensive review of UV-B (280–315 nm) triggering 7-dehydrocholesterol → previtamin D3 conversion in skin. Confirms mechanism of cutaneous D3 synthesis from UV-B exposure and the paradox of UV’s dual role (D synthesis + DNA damage). Supports mechanistic claims about UV-B spectrum + skin production. ⚠️ Narrative review synthesizing photobiology and skin-cancer evidence; not a systematic review with pre-registered protocol. Holick is a long-time vitamin D advocate — potential author framing bias.
- [B, cohort] Webb et al. 1988 — Influence of season and latitude on cutaneous vitamin D3 synthesis (JCEM, Boston + Edmonton winter sunlight study) (1988 · PMID: 2839537 · DOI: 10.1210/jcem-67-2-373) — Canonical study showing winter sun at Boston (42.2°N, Nov–Feb) and Edmonton (52°N, Oct–Mar) produces NO cutaneous vitamin D3, while 34°N and 18°N maintain year-round photoproduction. Directly supports “above ~50°N October–March = zero UV-B” and solar-noon-window claims. ⚠️ Experimental photoproduction model — measured previtamin D3 formation in test solutions exposed to ambient sunlight across latitudes. Not human in vivo endpoint. Older evidence (1988) but canonical reference in photobiology. (older evidence)
- [B, rct] Young et al. 2019 — Optimal sunscreen use during high-UV sun holiday allows vitamin D synthesis without sunburn (Br J Dermatol RCT) (2019 · PMID: 31069787 · DOI: 10.1111/bjd.17888) · ⚖️ mixed — SPF 15 sunscreen (high-UVA variant) still permitted 25(OH)D3 increase of 13.0–19.0 nmol/L over one week — shows sunscreen does NOT fully block UV-B mediated D3 synthesis at high UV index, contrary to the common “sunscreen blocks UV-B” claim. Supports nuance rather than absolute blocking. ⚠️ Short-duration RCT (1-week sun holiday in Tenerife, high UV index) — limits generalization to ambient year-round latitude exposure. Industry-adjacent funding possible (sunscreen study). Endpoint is 25(OH)D increase, not clinical outcome.
Polyphenols & olive oil
- [B, review] The role of polyphenols in human health and food systems — Cory et al. (2018 · DOI: 10.3389/fnut.2018.00087) ⚠️ Limitation not yet assessed
- [B, review] Extra virgin olive oil polyphenols and cardiovascular disease — Covas et al. (2006 · DOI: 10.7326/0003-4819-145-5-200609050-00006) ⚠️ older evidence (older evidence)
- [B, review] Effects of chocolate, cocoa, and flavan-3-ols on cardiovascular health — Hooper et al. (2012 · DOI: 10.3945/ajcn.111.023457) ⚠️ older evidence (older evidence)
Cosmetics & endocrine disruptors
- [B, observational] Some alkyl hydroxy benzoate preservatives (parabens) are estrogenic — Routledge et al. (1998 · PMID: 9875295 · DOI: 10.1006/taap.1998.8544) ⚠️ Observational design; cannot establish causation; older evidence (older evidence)
- [B, resource] Sunscreen active ingredient plasma absorption (includes oxybenzone) — Matta et al. (2019 · PMID: 31058986 · DOI: 10.1001/jama.2019.5586)
- [B, review] Phthalate metabolites associated with decreased steroid hormones in adult men — Meeker et al. (2009 · PMID: 19059903 · DOI: 10.2164/jandrol.108.006403) ⚠️ older evidence (older evidence)
Bile & digestion
- [B, guideline] Bile — StatPearls, NCBI (NBK542254) ⚠️ Limitation not yet assessed (continuously updated)
Thermic effect of food
- Thermic effect of food — Examine.com
- [B, review] Diet-induced thermogenesis — Westerterp (2004 · DOI: 10.1186/1743-7075-1-5) ⚠️ older evidence (older evidence)
Electrolytes & minerals
- [B, guideline] Magnesium — NIH Office of Dietary Supplements ⚠️ Limitation not yet assessed (continuously updated)
- [B, guideline] Potassium — NIH Office of Dietary Supplements ⚠️ Limitation not yet assessed (continuously updated)
- [B, guideline] Zinc — NIH Office of Dietary Supplements ⚠️ Limitation not yet assessed (continuously updated)
- [B, guideline] Sodium — NIH MedlinePlus ⚠️ Limitation not yet assessed (continuously updated)
- [B, review] Can Magnesium Enhance Exercise Performance? — Zhang et al. (2017 · PMID: 28846654 · DOI: 10.3390/nu9090946) ⚠️ Limitation not yet assessed
- [B, review] Update on the relationship between magnesium and exercise — Nielsen & Lukaski (2006 · PMID: 17172008) ⚠️ older evidence (older evidence)
- [B, rct] Magnesium citrate found more bioavailable than other Mg preparations — Walker et al. (2003 · PMID: 14596323) — chelate vs citrate vs oxide bioavailability comparison ⚠️ older evidence (older evidence)
- [B, review] Sweat iron and zinc losses during prolonged exercise — DeRuisseau et al. (2002 · PMID: 12500986 · DOI: 10.1123/ijsnem.12.4.428) ⚠️ older evidence (older evidence)
- [B, review] Sweat mineral-element responses during 7h exercise-heat stress — Montain et al. (2007 · PMID: 18156662 · DOI: 10.1123/ijsnem.17.6.574) ⚠️ older evidence (older evidence)
- [B, review] Physiology of sweat gland function — Baker LB (2019 · PMID: 31608304 · DOI: 10.1080/23328940.2019.1632145) — sweat-rate physiology, interindividual variability, and sweat sodium losses ⚠️ Limitation not yet assessed
- [B, guideline] Physiological mechanisms determining eccrine sweat composition — Baker & Wolfe (2020 · PMID: 32124007 · DOI: 10.1007/s00421-020-04323-7) — review of sweat sodium/chloride composition and factors driving individual variability ⚠️ Limitation not yet assessed
- [B, narrative-review] Exercise under heat stress: thermoregulation, hydration, performance implications, and mitigation strategies — Périard et al. (2021 · PMID: 33829868 · DOI: 10.1152/physrev.00038.2020) — comprehensive review of heat, hydration, and exercise performance ⚠️ Narrative review; no systematic search methodology
- [B, meta-analysis] The Hydrating Effects of Hypertonic, Isotonic and Hypotonic Sports Drinks and Waters on Central Hydration During Continuous Exercise: A Systematic Meta-Analy… (2022 · PMID: 34716905 · DOI: 10.1007/s40279-021-01558-y) — systematic meta-analysis on hydration effects of different drink compositions during exercise ⚠️ Limitation not yet assessed
- [B, guideline] ACSM Position Stand: Exercise and fluid replacement — Sawka et al. (2007 · PMID: 17277604 · DOI: 10.1249/mss.0b013e31802ca597) — practical hydration and fluid-replacement guidance during exercise and heat exposure ⚠️ older evidence (older evidence)
- [B, review] Zinc in human health: effect of zinc on immune cells — Prasad AS (2008 · PMID: 18385818 · DOI: 10.2119/2008-00033.Prasad) ⚠️ older evidence (older evidence)
- [B, review] Estimating the global prevalence of zinc deficiency — Wessells & Brown (2012 · PMID: 23209782 · DOI: 10.1371/journal.pone.0050568) ⚠️ older evidence (older evidence)
- Optimal Nutrition & Supplementation for Fitness — Huberman × Andy Galpin (2023)
- [B, review] Nikolaidis et al. 2018 — Nutrition in ultra-endurance: state of the art (Nutrients review, hyponatremia + sodium recommendations) (2018 · PMID: 30558350 · DOI: 10.3390/nu10121995) — Recommends fluid intake including sodium 10–25 mmol to reduce exercise-associated hyponatremia (EAH) risk; fluid limited to 300–600 mL/h during races. Supports the electrolyte-water balance claims — too much water without sodium → EAH; sodium without adequate water → dehydration. ⚠️ Narrative review synthesizing ultra-endurance nutrition; not a systematic review with pre-registered protocol. Recommendations are expert-consensus-style, not from a single meta-analysis.
Water & microplastics
- [B, review] Synthetic polymer contamination in bottled water — Mason et al. (2018 · DOI: 10.3389/fchem.2018.00407) ⚠️ Limitation not yet assessed
- [B, guideline] Reverse osmosis effectiveness for contaminant removal — WHO Guidelines for Drinking-water Quality, 4th Ed. ⚠️ Limitation not yet assessed
- [B, review] Water-induced thermogenesis — Boschmann et al. (2003 · PMID: 14671205 · DOI: 10.1210/jc.2003-030780) ⚠️ older evidence (older evidence)
- [B, review] Water, other fluids, and fatal coronary heart disease — Chan et al. (2002 · PMID: 11978586 · DOI: 10.1093/aje/155.9.827) ⚠️ older evidence (older evidence)
- [B, rct] Effect of coaching to increase water intake on kidney function decline — Clark et al. (2018 · PMID: 29801012 · DOI: 10.1001/jama.2018.4930) ⚠️ Limitation not yet assessed
Training & exercise
- [A, meta-analysis] Training frequency and hypertrophy: systematic review and meta-analysis — Schoenfeld et al. (2016 · PMID: 27102172 · DOI: 10.1007/s40279-016-0543-8) — Meta-analysis; training each muscle group 2×/week significantly superior to 1×/week for hypertrophy when volume is equated ⚠️ Limitation not yet assessed
- [A, meta-analysis] HIIT vs continuous endurance training for VO2max: systematic review and meta-analysis — Milanovic et al. (2015 · PMID: 26243014 · DOI: 10.1007/s40279-015-0365-0) — Meta-analysis of controlled trials; HIIT increased VO2max ~5.5 mL/kg/min vs ~3.5 for moderate-intensity continuous training in healthy adults ⚠️ older evidence (older evidence)
- [A, meta-analysis] Daily steps and all-cause mortality: meta-analysis of 15 international cohorts — Paluch et al. (2022 · PMID: 35247352 · DOI: 10.1016/S2468-2667(21)00302-9) — Meta-analysis of ~47,000 adults; inverse dose-response between daily steps and mortality; steepest reduction 3,000-8,000 steps/day; every 1,000-step increment reduced mortality 6-15% ⚠️ Limitation not yet assessed
- [B, review] Non-exercise activity thermogenesis (NEAT) — Levine (2004 · PMID: 15387473 · DOI: 10.1111/j.1753-4887.2004.tb00094.x) — Review; NEAT is the predominant component of activity thermogenesis; increasing NEAT is one of the most impactful metabolic interventions for sedentary individuals ⚠️ older evidence (older evidence)
- [A, meta-analysis] Dose-response relationship between weekly resistance training volume and increases in muscle mass — Schoenfeld et al. (2017 · PMID: 27433992 · DOI: 10.1080/02640414.2016.1210197) — Meta-analysis of 15 studies (34 treatment groups); graded dose-response between weekly volume and hypertrophy; each additional set associated with ES increase of 0.023; trend for greater effect with 10+ sets per muscle per week (p=0.074) ⚠️ p=0.074 for categorical analysis (<5, 5-9, 10+ sets); significant for continuous volume variable (p=0.002); heterogeneous populations and protocols across studies
- [A, meta-analysis] Proximity-to-failure and skeletal muscle hypertrophy — Refalo et al. (2022 · PMID: 36334240 · DOI: 10.1007/s40279-022-01784-y) — Systematic review with meta-analysis examining resistance training proximity-to-failure effects on muscle hypertrophy; supports training close to failure for greater hypertrophy stimulus ⚠️ Limitation not yet assessed
- [B, meta-analysis] Effect of exercise for depression: network meta-analysis of RCTs — Noetel et al. (2024 · PMID: 38355154 · DOI: 10.1136/bmj-2023-075847) — Network meta-analysis in BMJ; 218 RCTs, ~14,170 participants; walking/jogging (g -0.62), yoga (g -0.55), strength training (g -0.49) most effective for depression; effects proportional to intensity; no COI declared ⚠️ Only 1 of 218 studies met Cochrane low risk-of-bias criteria; CINeMA confidence low for walking/jogging, very low for other modalities; expectancy effects not fully controlled
- [B, rct] Longer interset rest periods enhance muscle strength and hypertrophy — Schoenfeld et al. (2016 · PMID: 26605807 · DOI: 10.1519/JSC.0000000000001272) — RCT in 21 resistance-trained men; 3-minute rest intervals produced greater strength (1RM squat and bench) and hypertrophy (anterior thigh) than 1-minute rest intervals over 8 weeks ⚠️ Single RCT, n=21, young resistance-trained men only, 8-week duration; short study period limits long-term conclusions
- [B, meta-analysis] Warm-up intervention programs prevent sports injuries in youth — Ding et al. (2022 · PMID: 35627873 · DOI: 10.3390/ijerph19106336) — Meta-analysis of 15 studies; structured warm-up programs associated with 36% reduction in injury rate ratio (IRR 0.64, 95% CI 0.54–0.75) in children and adolescents; compliance was significant moderator ⚠️ Population limited to children and adolescents; generalizability to adult populations assumed but not directly demonstrated; heterogeneous warm-up protocols across studies
- [B, meta-analysis] Stretching and sports injury risk: systematic review — Thacker et al. (2004 · PMID: 15076777 · DOI: 10.1249/01.mss.0000117134.83018.f7) · ⚖️ mixed — Systematic review of 6 qualifying studies from 361 identified; stretching was NOT significantly associated with reduced total injuries (OR 0.93, CI 0.78–1.11); insufficient evidence to endorse or discontinue routine stretching for injury prevention ⚠️ Only 6 of 361 articles met inclusion criteria; evidence quality variable; unable to isolate stretching type (static vs dynamic) effects (older evidence)
- [B, review] Age and aerobic power: rate of change in men and women — Buskirk & Hodgson (1987 · PMID: 3493922) — Review of VO2max decline with age; men decline ~0.40–0.50 mL/kg/min/year, women ~0.20–0.35; longitudinal data shows wide range (0.04–1.43); some evidence active individuals decline slower but results not uniform ⚠️ 1987 review; primarily cross-sectional data; wide variability in longitudinal results; methodology standards of that era (older evidence)
- [C, observational] Chronic exercise preserves lean muscle mass in masters athletes — Wroblewski et al. (2011 · PMID: 22030953 · DOI: 10.3810/psm.2011.09.1933) — MRI cross-sections of masters triathletes (40-81 yr) vs sedentary controls; chronic exercise prevented age-related muscle loss and fat infiltration; 74-yr-old triathlete’s quadriceps resembled 40-yr-old’s ⚠️ Observational design; cannot establish causation; older evidence (older evidence)
- [A, meta-analysis] Cardiorespiratory fitness as a quantitative predictor of all-cause mortality — Kodama et al. (2009 · PMID: 19454641 · DOI: 10.1001/jama.2009.681) · ⚖️ mixed — Meta-analysis of 33 studies (n=102,980); 1-MET higher CRF associated with 13% reduction in all-cause mortality and 15% reduction in CVD mortality; established VO2max thresholds for mortality risk stratification ⚠️ older evidence (older evidence)
- [A, meta-analysis] Effects of ketogenic diet on muscle mass, strength, and aerobic capacity: meta-analysis 2025 (2025 · PMID: 41035089 · DOI: 10.1186/s41043-025-01090-z) · ⚖️ mixed — No significant differences in countermovement jump, squat, or bench press between keto and control diets; VO2max and time to exhaustion also not significantly different; significant decrease in fat-free mass ⚠️ Heterogeneous study designs; variable adaptation periods; fat-free mass loss is a concern
- [A, meta-analysis] Cold water immersion protocol optimization across exercise modalities: network meta-analysis — Yu et al. (2026 · PMID: 41845491 · DOI: 10.1186/s13102-026-01653-5) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Resistance training and mortality risk: systematic review and meta-analysis — Shailendra et al. (2022 · PMID: 35599175 · DOI: 10.1016/j.amepre.2022.03.020) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Protein supplementation + resistance training, mass/strength meta-regression — Morton et al. (2018 BJSM MA) (2018 · PMID: 28698222 · DOI: 10.1136/bjsports-2017-097608) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Resistance training dose-response meta-regressions on weekly volume and frequency for hypertrophy and strength — Pelland et al. (2026 · PMID: 41343037 · DOI: 10.1007/s40279-025-02344-w) — Meta-regression of weekly volume and frequency effects on hypertrophy and strength. Independent replicator (Pelland/Zourdos team) of Schoenfeld 2016 frequency MA and Schoenfeld 2017 volume dose-response MA. ⚠️ Limitation not yet assessed
- [A, meta-analysis] HIIT vs moderate-continuous training across 115 trials: meta-analysis — Bi et al. (2026 · PMID: 41804294 · DOI: 10.1111/sms.70243) — 115 RCTs, 3,196 participants, ages 8-68. HIIT > MICT for relative (g=0.39) and absolute (g=0.29) VO2max. Replicates Milanovic 2015 direction with a much larger evidence base. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Daily steps and health outcomes: systematic review and dose-response meta-analysis — Ding et al. (2025 · PMID: 40713949 · DOI: 10.1016/S2468-2667(25)00164-1) — Non-linear inverse dose-response with inflection ~5,000-7,000 steps/day for all-cause mortality. Replicates Paluch 2022 direction with updated evidence base. Lancet Public Health. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Resistance training performed to failure or not to failure on strength, hypertrophy, and power: systematic review and meta-analysis — Vieira et al. (2021 · PMID: 33555822 · DOI: 10.1519/JSC.0000000000003936) — Failure vs non-failure MA with fully independent author team (Vieira, Umpierre, Teodoro, Lisboa, Baroni, Izquierdo, Cadore). No Refalo or Schoenfeld co-authorship. ⚠️ Limitation not yet assessed
- [A, systematic-review] Cardiorespiratory fitness is a strong and consistent predictor of morbidity and mortality: umbrella review of 20.9M observations — Lang et al. (2024 · PMID: 38599681 · DOI: 10.1136/bjsports-2023-107849) · ⚖️ mixed — Umbrella review across 199 cohorts; HR 0.47 high vs low CRF. Confirms Kodama 2009 direction with an order of magnitude more evidence. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Association of resistance training with mortality: systematic review and meta-analysis — Saeidifard et al. (2019 · PMID: 31104484 · DOI: 10.1177/2047487319850718) — 370,256 participants, 11 studies, 8.85y follow-up; 21% lower all-cause mortality with RT, 40% when combined with aerobic exercise. Clean predecessor MA to Shailendra 2022. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of the ketogenic diet on strength performance in trained men and women: systematic review and meta-analysis — Vargas-Molina et al. (2024 · PMID: 39064644 · DOI: 10.3390/nu16142200) — 106 squat + 119 bench press participants; no significant 1-RM differences between keto and non-keto. Replicates the strength/power arm of Wang 2025 directly. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of the ketogenic diet on performance and body composition in athletes and trained adults: systematic review and meta-analysis — Koerich et al. (2023 · PMID: 35757868 · DOI: 10.1080/10408398.2022.2090894) — Bayesian multivariate multilevel meta-analysis in athletes/trained adults. 1-RM strength effect -5.7% (95% CrI -14.9% to +2.6%) — CI crosses zero, null/non-significant result. Independent Brazilian team. ⚠️ Heterogeneous study designs; mix of RCT and non-RCT; Bayesian estimation with informative priors.
- [A, rct] Chronic betaine supplementation on performance in professional young soccer players during competitive season: RCT — Nobari et al. (2021 · PMID: 34663363 · DOI: 10.1186/s12970-021-00464-y) — n=29 young professional soccer players (15.5y), 14 weeks, 2 g betaine/day vs placebo. Significant group×time interactions (p<0.05) favoring betaine for VO2max, anaerobic peak power, muscular strength, countermovement jump, sprint time, repeated sprint, predicted 1-RM. ⚠️ Small sample (n=29 adolescent athletes); single sport; field testing conditions.
- [A, meta-analysis] Cold-water immersion on post-match recovery in trained soccer players: systematic review and meta-analysis — Veen et al. (2026 · PMID: 41490103 · DOI: 10.1111/sms.70202) — 10 studies of trained soccer players, CWI after match play. MVC SMD 1.02; CMJ SMD 0.38; creatine kinase SMD -0.77; DOMS SMD -1.04; sprint unaffected. Distinct modality replication of Yu 2026 with multiple concordant recovery markers. ⚠️ Single-modality (soccer post-match); prediction intervals include null for some outcomes.
Digestion
- [B, narrative-review] Effects of dietary components on intestinal permeability in health and disease — Khoshbin & Camilleri (2020 · PMID: 32902315 · DOI: 10.1152/ajpgi.00245.2020) — 200-reference review: fiber, SCFAs, glutamine, vitamin D improve barrier; emulsifiers, fat, alcohol worsen it ⚠️ Narrative review; no systematic search methodology
- [B, review] Bile Acid Metabolism and Signaling — Chiang (2017 · PMID: 29104811 · DOI: 10.1016/j.livres.2017.05.001) ⚠️ Limitation not yet assessed
- [B, review] Small Intestinal Motility and Transit — Camilleri et al. (2018 · PMID: 29622808 · DOI: 10.1038/nrgastro.2018.7) ⚠️ Limitation not yet assessed
- [B, review] Cephalic Phase of Digestion — Power & Schulkin (2008 · PMID: 18045735 · DOI: 10.1016/j.appet.2007.10.006) ⚠️ older evidence (older evidence)
- [C, observational] Long-term PPI vs P-CAB on SIBO occurrence in elderly — Lim et al. 2024 observational (2024 · PMID: 39502577 · DOI: 10.1155/2024/6069151)
- [B, review] Acute pancreatitis and SIBO interplay — Cui et al. 2025 review (2025 · PMID: 40664102 · DOI: 10.1016/j.clnu.2025.06.008)
- [B, review] SIBO prevention via nutrition, prebiotics, probiotics, prokinetics — Mustafa et al. 2025 review (2025 · PMID: 40296627 · DOI: 10.2174/0113816128373584250407134451)
- [B, review] Processing effects on protein digestibility and mineral bioavailability of legumes — Auer et al. 2026 (2026 · PMID: 41895991 · DOI: 10.1016/j.foodres.2026.118938)
- [B, review] Postbiotic biodegradation of antinutrients in foods — Khani et al. 2026 review (2026 · PMID: 40658289 · DOI: 10.1007/s12602-025-10649-5)
- [B, rct] Sourdough dephytinization on iron absorption from rye bread — Hoppe et al. 2025 isotope crossover (2025 · PMID: 41470836 · DOI: 10.3390/nu17243891)
Carbohydrates
- [B, review] Ketogenic Diet: Mechanisms, Evidence, and Clinical Applications — Dowis & Banga (2021 · PMID: 34068325 · DOI: 10.3390/nu13051654) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Carbohydrate quality and human health — fiber 25-29g/day optimal — Reynolds et al. (Lancet SR series) (2019 · PMID: 30638909 · DOI: 10.1016/S0140-6736(18)31809-9) ⚠️ Limitation not yet assessed
- [B, narrative-review] Fundamentals of glycogen metabolism for coaches and athletes — Murray & Rosenbloom (2018 · PMID: 29444266 · DOI: 10.1093/nutrit/nuy001) ⚠️ Narrative review; no systematic search methodology
- [B, narrative-review] Circadian clocks and insulin resistance — Stenvers et al. (2019 · PMID: 30531917 · DOI: 10.1038/s41574-018-0122-1) ⚠️ Narrative review; no systematic search methodology
- [B, cohort] Hazen et al. 2023 — Erythritol and cardiovascular event risk (Nature Medicine) (2023 · PMID: 36849732 · DOI: 10.1038/s41591-023-02223-9) — Higher plasma erythritol associated with MACE risk; erythritol enhanced platelet aggregation in vitro ⚠️ Observational design, confounding possible, elevated-risk population; does not prove causation
- [B, cohort] Abushamat et al. 2025 — Erythritol, erythronate, and cardiovascular outcomes in older adults (ARIC, JACC Adv) (2025 · PMID: 39983608 · DOI: 10.1016/j.jacadv.2025.101605) — Independent prospective replication of Hazen 2023 (PMID:36849732) — higher circulating erythritol and erythronate associated with HF hospitalisation, HFpEF, CV death, and total mortality; erythronate also associated with CHD, stroke, HFrEF ⚠️ Observational ARIC cohort (n=4,006, ages 54-75, no prior CVD); plasma erythritol may reflect endogenous pentose-phosphate flux as well as dietary intake; cannot separate dietary erythritol attribution from endogenous production
- [B, cohort] Witkowski et al. 2024 — Xylitol is prothrombotic and associated with cardiovascular risk (Eur Heart J) (2024 · PMID: 38842092 · DOI: 10.1093/eurheartj/ehae244) · ⚡ contradicting — Circulating xylitol associated with 1.57× MACE risk; xylitol enhanced platelet reactivity and thrombus formation in mechanistic studies; xylitol-sweetened drink raised plasma levels and platelet responsiveness in 10 healthy volunteers ⚠️ Observational design (discovery n=1,157; validation n=2,149); population with pre-existing cardiovascular risk; endogenous xylitol production complicates dietary attribution; human intervention
- [B, rct] Erythritol ingestion enhances platelet reactivity and thrombosis in healthy volunteers — Witkowski et al. 2024 (2024 · PMID: 39114916 · DOI: 10.1161/ATVBAHA.124.321019) · ⚖️ mixed — Prospective interventional study (n=10/group): 30g erythritol (not glucose) caused >1000-fold plasma increase and enhanced stimulus-dependent platelet aggregation, serotonin release, and CXCL4 release in all subjects ⚠️ Small sample (n=10); single-dose acute study; same research group as observational finding; no clinical endpoint measured
- [B, meta-analysis] Dietary carbohydrate intake and mortality: prospective cohort study and meta-analysis — Seidelmann et al. (2018 · PMID: 30122560 · DOI: 10.1016/S2468-2667(18)30135-X) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Plant- vs animal-based low-carbohydrate diets and all-cause/cause-specific mortality: dose-response meta-analysis — Ghorbani et al. (2023 · PMID: 37419282 · DOI: 10.1016/j.arr.2023.101997) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Dietary fiber intake and all-cause and cause-specific mortality: updated meta-analysis — Ramezani et al. (2024 · PMID: 38011755 · DOI: 10.1016/j.clnu.2023.11.005) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Food sources of fructose-containing sugars and NAFLD: systematic review and meta-analysis of controlled trials — Lee et al. (2022 · PMID: 35889803 · DOI: 10.3390/nu14142846) ⚠️ Limitation not yet assessed
- [C, animal] Highly soluble beta-glucan fiber on glucose regulation and intestinal permeability — Marcobal et al. (2024 Nutrients) (2024 · PMID: 39064683 · DOI: 10.3390/nu16142240) ⚠️ Limitation not yet assessed
- [C, narrative-review] REPAIR trial: plant-based intensive lifestyle for diabetes remission (protocol) — McKay et al. 2026 (2026 · PMID: 41623136 · DOI: 10.1111/dom.70510) — Trial protocol only — no results yet. Grade C until publication.
- [B, rct] Meal composition and alcohol on postprandial glucose in T1D — García et al. 2021 crossover RCT (2021 · PMID: 34620620 · DOI: 10.1136/bmjdrc-2021-002399)
- [B, rct] Whey protein drink vs normal breakfast on glucose/insulin/GLP-1 in T2D — Sridonpai et al. 2021 crossover RCT (2021 · PMID: 34290863 · DOI: 10.1017/jns.2021.41)
- [C, observational] Rice grain quality alteration through parboiling (inorganic arsenic reduction) — Meharg 2025 Food Chem (2025 · PMID: 40086379 · DOI: 10.1016/j.foodchem.2025.143782)
- [B, review] Arsenic removal efficacy from rice grain and cancer risk reduction — Mishra 2023 Sci Total Environ review (2023 · PMID: 36858216 · DOI: 10.1016/j.scitotenv.2023.162443)
- [B, review] Dietary fibers as drivers of SCFA homeostasis — Fan 2026 review (J Agric Food Chem) (2026 · PMID: 41816800 · DOI: 10.1021/acs.jafc.5c12022)
- [B, meta-analysis] Psyllium as nonfermented gel-forming fiber for weight loss — Gibb 2023 SR/MA (2023 · PMID: 37163454 · DOI: 10.1097/JXX.0000000000000882)
- [B, guideline] ISSN Position Stand on Nutrient Timing — Kerksick 2017 (pre/post-exercise carb + protein recommendations) (2017 · PMID: 28919842 · DOI: 10.1186/s12970-017-0189-4) ⚠️ Position stand synthesis (ISSN committee, 19 co-authors, mixed industry disclosures); pre-exercise feeding window and 1–4h post-exercise carb refeeding (1.2 g/kg/h) recommendations derived from trained-athlete evidence base — generalizability to recreational populations limited
- [A, meta-analysis] Huang & Chen 2023 — Dietary sugar consumption and health: umbrella review (BMJ) (2023 · PMID: 37019448 · DOI: 10.1136/bmj-2022-071609) — Umbrella review found harmful associations between dietary sugar intake and multiple endpoints including cardiometabolic disease and cancer. Specifically, every 25 g/day increment of fructose was associated with 22% higher pancreatic cancer risk (low-quality evidence). Recommends <25 g/day free sugars and <1 SSB/week. Supports fructose-in-excess harm framing in carbohydrates post. ⚠️ Umbrella review — summarizes prior SR/meta-analyses across heterogeneous exposure definitions (total sugars, free sugars, added sugars, sugar-sweetened beverages). Strength of evidence per association varied; many rated low-to-moderate quality.
- [A, meta-analysis] Total sugar, added sugar, fructose, and sucrose intake and all-cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohorts — Huang C et al. (2023 · PMID: 37182401 · DOI: 10.1016/j.nut.2023.112032) — Dose-response MA of prospective cohorts. Total sugar vs all-cause mortality RR 1.09 (1.02-1.15), CV mortality RR 1.10 (1.02-1.18). Fructose vs all-cause RR 1.09 (1.03-1.16), CV RR 1.11 (1.03-1.20); cancer mortality null. Independent from Yin Huang BMJ umbrella despite shared surname. ⚠️ Observational cohorts; residual confounding; cancer mortality null result tempers pancreatic-specific finding.
Nutrition
- [B, systematic-review] Dietary Cholesterol and Cardiovascular Risk: AHA Science Advisory — Carson et al. (2020 · PMID: 31838890 · DOI: 10.1161/CIR.0000000000000743) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Carbohydrate quality and human health — fiber 25-29g/day optimal — Reynolds et al. (Lancet SR series) (2019 · PMID: 30638909 · DOI: 10.1016/S0140-6736(18)31809-9) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Obesity Energetics: Body Weight Regulation and the Effects of Diet Composition — Hall et al. (2017 · PMID: 28193517 · DOI: 10.1053/j.gastro.2017.01.052) ⚠️ Limitation not yet assessed
- [B, review] Thermic Effect of Food: Macronutrient Differences — Calcagno et al. (2019 · PMID: 31021710 · DOI: 10.1080/07315724.2018.1552544) ⚠️ Limitation not yet assessed
- [B, review] Nutrient-Rich Food Index: Diet Quality Scoring — Drewnowski (2018 · PMID: 30200424 · DOI: 10.3390/nu10091200) ⚠️ Limitation not yet assessed
- [B, cohort] Human postprandial responses to food and potential for precision nutrition — Berry et al. (2020 · PMID: 32528151 · DOI: 10.1038/s41591-020-0934-0) · ⚖️ mixed ⚠️ Cohort design; residual confounding possible
- [A, meta-analysis] Ultra-Processed Food Consumption and Adult Diabetes Risk — Lane et al. SR/MA (2021 · PMID: 34959961 · DOI: 10.3390/nu13124410) ⚠️ Limitation not yet assessed
- [B, review] Grass-Fed vs Grain-Fed Beef: Nutrient Composition Differences — Daley et al. (2010 · PMID: 20219103 · DOI: 10.1186/1475-2891-9-10) ⚠️ older evidence (older evidence)
- [B, cohort] Pastured Hen Eggs vs Conventional: Vitamin and Fatty Acid Differences — Karsten et al. (2010) ⚠️ Cohort design; residual confounding possible; older evidence (older evidence)
- [B, narrative-review] Fundamentals of glycogen metabolism for coaches and athletes — Murray & Rosenbloom (2018 · PMID: 29444266 · DOI: 10.1093/nutrit/nuy001) ⚠️ Narrative review; no systematic search methodology
- [A, meta-analysis] Ultra-processed foods and all-cause mortality: updated dose-response meta-analysis — Liang et al. (2025 · PMID: 40033461 · DOI: 10.1186/s13643-025-02800-8) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Dietary fiber intake and all-cause and cause-specific mortality: updated meta-analysis — Ramezani et al. (2024 · PMID: 38011755 · DOI: 10.1016/j.clnu.2023.11.005) ⚠️ Limitation not yet assessed
- [C, narrative-review] REPAIR trial: plant-based intensive lifestyle for diabetes remission (protocol) — McKay et al. 2026 (2026 · PMID: 41623136 · DOI: 10.1111/dom.70510) — Trial protocol only — no results yet. Grade C until publication.
- [B, review] Processing effects on protein digestibility and mineral bioavailability of legumes — Auer et al. 2026 (2026 · PMID: 41895991 · DOI: 10.1016/j.foodres.2026.118938)
- [B, meta-analysis] Whey protein supplementation in postmenopausal women — Kuo et al. 2022 SR/MA (2022 · PMID: 36235862 · DOI: 10.3390/nu14194210)
- [B, rct] Meal composition and alcohol on postprandial glucose in T1D — García et al. 2021 crossover RCT (2021 · PMID: 34620620 · DOI: 10.1136/bmjdrc-2021-002399)
- [B, rct] Whey protein drink vs normal breakfast on glucose/insulin/GLP-1 in T2D — Sridonpai et al. 2021 crossover RCT (2021 · PMID: 34290863 · DOI: 10.1017/jns.2021.41)
- [C, in-vitro] Combined heme + non-heme iron uptake (in vitro) — Parini et al. 2025 (2025 · PMID: 41595579 · DOI: 10.3390/biomedicines14010043)
- [B, rct] Sourdough dephytinization on iron absorption from rye bread — Hoppe et al. 2025 isotope crossover (2025 · PMID: 41470836 · DOI: 10.3390/nu17243891)
- [B, meta-analysis] Dietary cholesterol effects on LDL and HDL: meta-regression — Vincent et al. 2019 (2019 · PMID: 30596814 · DOI: 10.1093/ajcn/nqy303)
- [B, meta-analysis] Energy deficiency impairs resistance training gains in lean mass but not strength — Murphy & Koehler 2022 SR/MA (2022 · PMID: 34623696 · DOI: 10.1111/sms.14075)
- [C, observational] Rice grain quality alteration through parboiling (inorganic arsenic reduction) — Meharg 2025 Food Chem (2025 · PMID: 40086379 · DOI: 10.1016/j.foodchem.2025.143782)
- [B, review] Arsenic removal efficacy from rice grain and cancer risk reduction — Mishra 2023 Sci Total Environ review (2023 · PMID: 36858216 · DOI: 10.1016/j.scitotenv.2023.162443)
- [C, observational] Comparative quality deterioration of vegetable oils during deep-fat frying — Wang 2026 (Foods) (2026 · PMID: 41750963 · DOI: 10.3390/foods15040771)
- [B, review] Lipid metabolism in the adrenal gland — Aderhold 2025 review (Front Endocrinol) (2025 · PMID: 40551885 · DOI: 10.3389/fendo.2025.1577505)
- [B, meta-analysis] Psyllium as nonfermented gel-forming fiber for weight loss — Gibb 2023 SR/MA (2023 · PMID: 37163454 · DOI: 10.1097/JXX.0000000000000882)
- [B, guideline] ISSN Position Stand on Nutrient Timing — Kerksick 2017 (pre/post-exercise carb + protein recommendations) (2017 · PMID: 28919842 · DOI: 10.1186/s12970-017-0189-4) ⚠️ Position stand synthesis (ISSN committee, 19 co-authors, mixed industry disclosures); pre-exercise feeding window and 1–4h post-exercise carb refeeding (1.2 g/kg/h) recommendations derived from trained-athlete evidence base — generalizability to recreational populations limited
- [B, review] Aguilera 2019 — The food matrix: implications in processing, nutrition and health (Crit Rev Food Sci Nutr review) (2019 · PMID: 30040431 · DOI: 10.1080/10408398.2018.1502743) — Frames the food matrix as a physical domain containing and interacting with food constituents — explains why isolated nutrients behave differently from whole-food equivalents. Supports bioavailability claims in the nutrition post (processing/matrix effects on nutrient accessibility). ⚠️ Narrative/expository review of food-matrix concept; not a systematic review with pre-registered protocol. Applies primarily to food-science framing of bioavailability rather than quantitative outcome estimates.
- [B, meta-analysis] So & Whelan 2018 — Dietary fiber intervention on gut microbiota composition in healthy adults (AJCN SR/MA, 64 studies n=2,099) (2018 · PMID: 29757343 · DOI: 10.1093/ajcn/nqy041) — Fiber (especially fructans and galacto-oligosaccharides) increased Bifidobacterium + Lactobacillus abundance and fecal butyrate vs control, but did not shift overall microbial diversity. Supports fiber-based gut-health framing; caution on “diversity” claims unsupported. ⚠️ Endpoint is microbiome composition (Bifidobacterium, Lactobacillus, fecal butyrate) — an unvalidated surrogate for clinical health outcomes. Microbial-diversity changes not significant. Heterogeneous fiber types/doses across 64 included studies.
Nervous System
- [B, narrative-review] Autonomic Nervous System Overview — Wehrwein, Orer & Barman (2016 · PMID: 27347892 · DOI: 10.1002/cphy.c150037) ⚠️ Narrative review; no systematic search methodology
- [B, review] Vagus Nerve Stimulation and Parasympathetic Activation — Breit et al. (2018 · PMID: 29593576 · DOI: 10.3389/fpsyt.2018.00044) ⚠️ Limitation not yet assessed
- [B, review] Heart Rate Variability and Autonomic Balance — Shaffer & Ginsberg (2017 · PMID: 29034226 · DOI: 10.3389/fpubh.2017.00258) ⚠️ Limitation not yet assessed
- [B, review] Slow Breathing and Autonomic Balance — Russo, Santarelli & O’Rourke (2017 · PMID: 29209423 · DOI: 10.1183/20734735.009817) ⚠️ Limitation not yet assessed
- [B, review] Sympathetic Overactivation and Metabolic Syndrome — Lambert et al. (2019 · PMID: 31424101 · DOI: 10.1111/nyas.14217) ⚠️ Limitation not yet assessed
- [B, review] Autonomic Nervous System and Exercise — Michael, Graham & Davis (2017 · PMID: 28611675 · DOI: 10.3389/fphys.2017.00301) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Voluntary slow breathing effects on heart rate and HRV: systematic review and meta-analysis — Laborde et al. (2022 · PMID: 35623448 · DOI: 10.1016/j.neubiorev.2022.104711) ⚠️ Limitation not yet assessed
- [B, systematic-review] Diaphragmatic breathing for physiological/psychological stress — Hopper et al. (2019 JBI SR) (2019 · PMID: 31436595 · DOI: 10.11124/JBISRIR-2017-003848) ⚠️ Limitation not yet assessed
Circadian Rhythm
- [B, review] Circadian Rhythm and Metabolism — Poggiogalle, Jamshed & Peterson (2018 · PMID: 29195759 · DOI: 10.1016/j.metabol.2017.11.017) ⚠️ Limitation not yet assessed
- [B, narrative-review] Circadian clocks and insulin resistance — Stenvers et al. (2019 · PMID: 30531917 · DOI: 10.1038/s41574-018-0122-1) ⚠️ Narrative review; no systematic search methodology
- [B, rct] Blue Light and Melatonin Suppression — Chang et al. (2015 · PMID: 25535358 · DOI: 10.1073/pnas.1418490112) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Shift Work and Health Outcomes — Torquati et al. (2018 · PMID: 29247501 · DOI: 10.5271/sjweh.3700) ⚠️ Limitation not yet assessed
- [B, review] Time-Restricted Eating and Circadian Alignment — Regmi & Heilbronn (2020 · PMID: 32480126 · DOI: 10.1016/j.isci.2020.101161) ⚠️ Limitation not yet assessed
- [B, rct] Time of Exercise Specifies the Impact on Muscle Metabolic Pathways — Sato et al. (2019 · PMID: 31006592 · DOI: 10.1016/j.cmet.2019.03.013) ⚠️ Limitation not yet assessed
- [B, rct] Cortisol Awakening Response — Clow et al. (2010 · PMID: 20970005 · DOI: 10.1016/S0074-7742(10)93007-9) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Time-restricted eating with vs without caloric restriction for weight loss: meta-analysis of RCTs — Fernandes-Alves et al. (2026 · PMID: 40298934 · DOI: 10.1093/nutrit/nuaf053) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Intermittent fasting strategies and their effects on body weight and cardiometabolic risk factors: systematic review and network meta-analysis of RCTs — Semnani-Azad et al. (2025 · PMID: 40533200 · DOI: 10.1136/bmj-2024-082007) — 99 RCTs, n=6,582 adults; compared ADF, TRE, 5:2, CER, ad-lib. TRE showed no significant advantage over CER for weight loss. ADF was the only IF strategy with significant advantage vs CER (MD -1.29 kg, -1.99 to -0.59). Published in BMJ with 15× the RCT count of Fernandes-Alves. ⚠️ Heterogeneity in trial durations and populations; network-meta assumptions.
Stress Recovery
- [B, review] Sleep and Human Aging — Mander, Winer & Walker (2017 · PMID: 28384471 · DOI: 10.1016/j.neuron.2017.02.004) ⚠️ Limitation not yet assessed
- [B, review] Slow Breathing and Autonomic Balance — Russo, Santarelli & O’Rourke (2017 · PMID: 29209423 · DOI: 10.1183/20734735.009817) ⚠️ Limitation not yet assessed
- [B, review] Autonomic Nervous System and Exercise — Michael, Graham & Davis (2017 · PMID: 28611675 · DOI: 10.3389/fphys.2017.00301) ⚠️ Limitation not yet assessed
- [B, rct] Cortisol Awakening Response — Clow et al. (2010 · PMID: 20970005 · DOI: 10.1016/S0074-7742(10)93007-9) ⚠️ older evidence (older evidence)
- [B, systematic-review] Nature Exposure and Stress Reduction — Berto (2014 · PMID: 25431444 · DOI: 10.3390/bs4040394) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Cold water immersion protocol optimization across exercise modalities: network meta-analysis — Yu et al. (2026 · PMID: 41845491 · DOI: 10.1186/s13102-026-01653-5) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Voluntary slow breathing effects on heart rate and HRV: systematic review and meta-analysis — Laborde et al. (2022 · PMID: 35623448 · DOI: 10.1016/j.neubiorev.2022.104711) ⚠️ Limitation not yet assessed
- [B, systematic-review] Diaphragmatic breathing for physiological/psychological stress — Hopper et al. (2019 JBI SR) (2019 · PMID: 31436595 · DOI: 10.11124/JBISRIR-2017-003848) ⚠️ Limitation not yet assessed
- [B, rct] Diaphragmatic breathing, cortisol and autonomic function in systemic sclerosis — Ismail et al. (2025 Reumatologia RCT) (2025 · PMID: 40485947 · DOI: 10.5114/reum/200193) ⚠️ Limitation not yet assessed
- [C, rct] Deep diaphragmatic breathing, cortisol and cytokines pilot — Maniaci et al. (2024 Stress Health pilot RCT) (2024 · PMID: 39543797 · DOI: 10.1002/smi.3503) ⚠️ Limitation not yet assessed
- [B, rct] Slow breathing, hemodynamics and neuroendocrine response in hypertensives — Yuenyongchaiwat et al. (2024 RCT) (2024 · PMID: 38432795 · DOI: 10.1016/j.jbmt.2023.11.042) ⚠️ Limitation not yet assessed
- [C, rct] Bed-of-nails relaxation, autonomic/respiratory and null cortisol — Olsson et al. (2011 J Altern Complement Med RCT) (2011 · PMID: 21208128 · DOI: 10.1089/acm.2010.0135) · ⚡ contradicting ⚠️ Limitation not yet assessed (older evidence)
- [A, meta-analysis] Cold-water immersion on post-match recovery in trained soccer players: systematic review and meta-analysis — Veen et al. (2026 · PMID: 41490103 · DOI: 10.1111/sms.70202) — 10 studies of trained soccer players, CWI after match play. MVC SMD 1.02; CMJ SMD 0.38; creatine kinase SMD -0.77; DOMS SMD -1.04; sprint unaffected. Distinct modality replication of Yu 2026 with multiple concordant recovery markers. ⚠️ Single-modality (soccer post-match); prediction intervals include null for some outcomes.
Nutrition Myths
- [B, systematic-review] Dietary Cholesterol and Cardiovascular Risk: AHA Science Advisory — Carson et al. (2020 · PMID: 31838890 · DOI: 10.1161/CIR.0000000000000743) ⚠️ Limitation not yet assessed
- [B, review] Nutrient-Rich Food Index: Diet Quality Scoring — Drewnowski (2018 · PMID: 30200424 · DOI: 10.3390/nu10091200) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Ultra-Processed Food Consumption and Adult Diabetes Risk — Lane et al. SR/MA (2021 · PMID: 34959961 · DOI: 10.3390/nu13124410) ⚠️ Limitation not yet assessed
- [B, rct] Time of Exercise Specifies the Impact on Muscle Metabolic Pathways — Sato et al. (2019 · PMID: 31006592 · DOI: 10.1016/j.cmet.2019.03.013) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Alcohol and Health: Mendelian Randomization — Holmes et al. (2018 · PMID: 25011450 · DOI: 10.1136/bmj.g4164) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Global Burden of Disease: Alcohol — GBD 2016 Alcohol Collaborators (2018 · PMID: 30146330 · DOI: 10.1016/S0140-6736(18)31310-2) ⚠️ Limitation not yet assessed
- [A, meta-analysis] IARC Monograph: Red and Processed Meat — Bouvard et al. (2015 · PMID: 26514947 · DOI: 10.1016/S1470-2045(15)00444-1) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Lower vs higher red meat intake on cardiometabolic/cancer outcomes — Johnston et al. (NutriRECS) SR of RCTs (2019 · PMID: 31569236 · DOI: 10.7326/M19-0622) ⚠️ Limitation not yet assessed
- [B, cohort] Adaptive Multi-Paddock vs Conventional Grazing: Vegetation, Water, Soil Carbon — Mosier et al. (2022 · PMID: 35101805 · DOI: 10.1016/j.jenvman.2022.114576) ⚠️ Cohort design; residual confounding possible
- [B, cohort] Adaptive Multi-Paddock Grazing Enhances Soil Carbon and Nitrogen — Mosier et al. (2021 · PMID: 33827025 · DOI: 10.1016/j.jenvman.2021.112409) ⚠️ Cohort design; residual confounding possible
- [B, review] Climate Change Mitigation as Co-Benefit of Regenerative Ranching — Gosnell et al. (2020 · PMID: 32832070 · DOI: 10.1098/rsfs.2020.0027) ⚠️ Limitation not yet assessed
- [B, review] Environmental Impact of Dietary Patterns and Food Production Systems — Baroni et al. (2007 · PMID: 17035955 · DOI: 10.1038/sj.ejcn.1602522) ⚠️ older evidence (older evidence)
- [A, meta-analysis] Ultra-processed foods and all-cause mortality: updated dose-response meta-analysis — Liang et al. (2025 · PMID: 40033461 · DOI: 10.1186/s13643-025-02800-8) ⚠️ Limitation not yet assessed
- [B, review] Klein & Kiat 2015 — Detox diets for toxin elimination and weight management: a critical review (J Hum Nutr Diet) (2015 · PMID: 25522674 · DOI: 10.1111/jhn.12286) — Found minimal scientific evidence for detox diets. “Very little clinical evidence to support the use of these diets” and “no randomised controlled trials have been conducted to assess the effectiveness of commercial detox diets in humans.” Directly supports the claim that detox diets lack a demonstrated mechanism. ⚠️ Critical narrative review. Notes absence of any RCT testing commercial detox diets in humans — the evidence gap itself is the finding, not a quantitative synthesis. (older evidence)
Atp Metabolism
- [B, review] Circadian Rhythm and Metabolism — Poggiogalle, Jamshed & Peterson (2018 · PMID: 29195759 · DOI: 10.1016/j.metabol.2017.11.017) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Shift Work and Health Outcomes — Torquati et al. (2018 · PMID: 29247501 · DOI: 10.5271/sjweh.3700) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Alcohol and Health: Mendelian Randomization — Holmes et al. (2018 · PMID: 25011450 · DOI: 10.1136/bmj.g4164) ⚠️ Limitation not yet assessed
- [A, meta-analysis] Lower vs higher red meat intake on cardiometabolic/cancer outcomes — Johnston et al. (NutriRECS) SR of RCTs (2019 · PMID: 31569236 · DOI: 10.7326/M19-0622) ⚠️ Limitation not yet assessed
- [B, narrative-review] Energy Systems in Exercise — Baker, McCormick & Robergs (2010 · PMID: 21188163 · DOI: 10.1155/2010/905612) ⚠️ Narrative review; no systematic search methodology; older evidence (older evidence)
- [B, review] The Science and Translation of Lactate Shuttle Theory — Brooks (2018 · PMID: 29617642 · DOI: 10.1016/j.cmet.2018.03.008) ⚠️ Limitation not yet assessed
- [B, review] Mitochondrial Dysfunction and Insulin Resistance — Montgomery & Turner (2015 · PMID: 25385852 · DOI: 10.1530/EC-14-0092) ⚠️ older evidence (older evidence)
- [B, review] The Crossover Concept: Fat-Carbohydrate Substrate Selection During Exercise — Brooks & Mercier (1994 · PMID: 7928844 · DOI: 10.1152/jappl.1994.76.6.2253) ⚠️ older evidence (older evidence)
- [B, review] Regulation of Fatty Acid Oxidation in Skeletal Muscle — Spriet (2002 · PMID: 12218742 · DOI: 10.1097/00005768-200209000-00013) ⚠️ older evidence (older evidence)
- [B, review] Mitochondrial Fatty Acid Beta-Oxidation — Houten, Violante & Ventura (2016 · PMID: 26474213 · DOI: 10.1146/annurev-physiol-021115-105045) ⚠️ Limitation not yet assessed
- [B, review] Fasting: Molecular Mechanisms and Clinical Applications — Longo & Mattson (2014 · PMID: 24440038 · DOI: 10.1016/j.cmet.2013.12.008) ⚠️ older evidence (older evidence)
- [B, review] Mitochondria as a Target of Environmental Toxicants — Meyer et al. (2013 · PMID: 23629515 · DOI: 10.1093/toxsci/kft102) ⚠️ older evidence (older evidence)
- [B, review] The Effects of Cadmium Toxicity — Genchi et al. (2020 · PMID: 32466586 · DOI: 10.3390/ijerph17113782) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Toxic Effects of Glyphosate on the Nervous System: A Systematic Review — Costas-Ferreira et al. (2022 · PMID: 35562999 · DOI: 10.3390/ijms23094605) ⚠️ Limitation not yet assessed
- [B, review] Bisphenol A-Induced Endocrine Dysfunction and Metabolic Disorders — Maniradhan & Calivarathan (2023 · PMID: 36173044 · DOI: 10.2174/1871530322666220928144043) ⚠️ Limitation not yet assessed
- [B, review] Gut Dysbiosis Dysregulates Homeostasis via Suboptimal Mitochondrial Function — Anderson & Maes (2020 · PMID: 32003689 · DOI: 10.2174/1568026620666200131094445) ⚠️ Limitation not yet assessed
- [B, review] Mitochondria: It Is All About Energy — Casanova et al. (2023 · PMID: 37179826 · DOI: 10.3389/fphys.2023.1114231) ⚠️ Limitation not yet assessed
- [B, review] Telomere Homeostasis: Interplay with Magnesium — Maguire et al. (2018 · PMID: 29303978 · DOI: 10.3390/ijms19010157) ⚠️ Limitation not yet assessed
- [B, review] GlyNAC Supplementation Improves Glutathione, Mitochondrial Function, and Aging Hallmarks — Sekhar (2021 · PMID: 34587244 · DOI: 10.1093/jn/nxab309) ⚠️ Limitation not yet assessed
- [B, review] Nongenomic Activities of Vitamin D — Żmijewski (2022 · PMID: 36501134 · DOI: 10.3390/nu14235104) ⚠️ Limitation not yet assessed
- [B, review] When somebody loses weight, where does the fat go? — Meerman & Brown (2014 · PMID: 25516540 · DOI: 10.1136/bmj.g7257) — Stoichiometric analysis of complete triglyceride oxidation; 84% of fat mass exhaled as CO₂, 16% as H₂O; surveyed 150 health professionals — most answered incorrectly ⚠️ older evidence (older evidence)
- How to Build Physical Endurance & Lose Fat — Huberman × Andy Galpin (2023) — Galpin explains the carbon cycle of fat metabolism — from plant photosynthesis to body fat storage to CO₂ exhalation; references Meerman & Brown BMJ 2014 stoichiometry
Nafld
- [A, rct] Abdelmalek et al. — Betaine for nonalcoholic fatty liver disease: RCT (2009 · PMID: 19824078 · DOI: 10.1002/hep.23239) · ⚖️ mixed — 20g/day for 1 year in NASH patients — failed to improve outcomes; confirms safety at very high doses ⚠️ Negative finding for NASH; supports safety data (older evidence)
Tmao
- [B, cohort] Wang et al. — Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease (2011 · PMID: 21475195 · DOI: 10.1038/nature09922) · ⚖️ mixed — Landmark Nature paper; betaine identified as TMAO precursor linked to CVD risk via gut microbiome metabolism ⚠️ Observational; TMAO clinical significance still debated (older evidence)
Aging
- [A, cohort] Singh et al. — Taurine deficiency as a driver of aging (2023 · PMID: 37289866 · DOI: 10.1126/science.abn9257) — Landmark Science paper; taurine levels decline ~80% age 25–65; supplementation increased median lifespan 10–12% in mice, improved healthspan in monkeys; reduced senescence, protected telomeres, improved mitochondria ⚠️ Multi-species study; human longevity data is correlational only
- [B, rct] GlyNAC supplementation improves glutathione, mitochondrial function, and aging hallmarks in older adults — Sekhar RCT 2023 (2023 · PMID: 35975308 · DOI: 10.1093/gerona/glac135) — 16-week placebo-controlled RCT in 24 older adults. GlyNAC corrected glutathione deficiency (+164% at 16 weeks), improved oxidative stress, mitochondrial fatty acid oxidation, insulin resistance, inflammation, endothelial dysfunction, gait speed, grip strength, waist circumference, and systolic BP. NIH-funded. Independently replicated at USC in 2025. ⚠️ Small sample (n=24 OA + 12 YA); single-centre (Baylor); primary investigator is the GlyNAC concept originator; 16-week duration; needs larger multi-centre replication
- [A, meta-analysis] Protein + resistance training on appendicular lean mass and grip strength in older adults — Kirwan et al. (2022 AJCN MA) (2022 · PMID: 34673936 · DOI: 10.1093/ajcn/nqab355) ⚠️ Limitation not yet assessed
- [B, meta-analysis] Taurine supplementation as a therapeutic strategy for cellular senescence and chronic inflammation in long COVID: systematic review and meta-analysis — Wang et al. (2026 · PMID: 41803812 · DOI: 10.1186/s12879-026-13009-y) — 27 clinical trials (n=1,030) of taurine supplementation + 6-study analysis (n=308) of plasma taurine. Lower plasma taurine in PASC vs recovered; supplementation improved CRP, TNF-α, IL-6, MDA, HbA1c, HOMA-IR, lipids, BP, exercise capacity; 3 g/day optimal. Mechanistic overlap with Singh’s senescence/mitochondrial axis. ⚠️ Population is post-COVID patients (accelerated-aging model), not general aging cohort. Endpoints are inflammatory/metabolic biomarkers (CRP, TNF-α, IL-6, MDA, HbA1c) — not validated surrogates for long-COVID hard outcomes. Grade B because unvalidated-surrogate endpoints despite meta-analysis design.
Betaine
- [A, meta-analysis] Ashtary-Larky et al. — Effects of betaine supplementation on cardiovascular markers: systematic review and meta-analysis (2022 · PMID: 33764214 · DOI: 10.1080/10408398.2021.1902938) — Homocysteine reduction WMD -1.30 μmol/L; doses <4g/day avoid adverse lipid effects seen at ≥4g ⚠️ Lipid increases (TC, LDL) at ≥4g/day doses
- [A, meta-analysis] Zawieja et al. — Effects of chronic betaine supplementation on exercise performance: systematic review and meta-analysis (2024 · PMID: 39514262 · DOI: 10.1080/02640414.2024.2423578) — Strength benefits ES=0.47; lower-body strength SMD 0.49; vertical jump improved SMD 0.36; 317 participants across 17 studies ⚠️ No effect on upper-body strength or muscular endurance
- [A, meta-analysis] Ashtary-Larky et al. — Betaine supplementation fails to improve body composition: systematic review and meta-analysis (2022 · PMID: 34743773 · DOI: 10.1017/S0007114521004062) · ⚖️ mixed — No significant effect on body mass, BMI, or body fat percentage ⚠️ Important negative finding for balanced assessment
- [B, rct] Steenge et al. — Betaine supplementation lowers plasma homocysteine in healthy men and women (2003 · PMID: 12730412 · DOI: 10.1093/jn/133.5.1291) — RCT; 6g/day lowered homocysteine in healthy sedentary adults — methylation benefits independent of exercise ⚠️ older evidence (older evidence)
- [B, cohort] Wang et al. — Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease (2011 · PMID: 21475195 · DOI: 10.1038/nature09922) · ⚖️ mixed — Landmark Nature paper; betaine identified as TMAO precursor linked to CVD risk via gut microbiome metabolism ⚠️ Observational; TMAO clinical significance still debated (older evidence)
- [A, rct] Abdelmalek et al. — Betaine for nonalcoholic fatty liver disease: RCT (2009 · PMID: 19824078 · DOI: 10.1002/hep.23239) · ⚖️ mixed — 20g/day for 1 year in NASH patients — failed to improve outcomes; confirms safety at very high doses ⚠️ Negative finding for NASH; supports safety data (older evidence)
- [B, rct] del Favero et al. — Creatine but not betaine increases muscle phosphocreatine and strength (2012 · PMID: 21744011 · DOI: 10.1007/s00726-011-0972-5) · ⚖️ mixed — RCT; creatine increased muscle PCr and strength, betaine did not — betaine does not replace creatine for energy ⚠️ Short duration (15 days), trained population only (older evidence)
- [B, review] Betaine in ameliorating alcohol-induced hepatic steatosis (2022 · PMID: 34817678 · DOI: 10.1007/s00394-021-02738-2) — Betaine protects against alcohol-induced liver damage through methyl donation and anti-inflammatory effects ⚠️ Review; limited human RCT data for alcohol-specific protection
- [B, review] Craig — Betaine in human nutrition (2004 · PMID: 15321791 · DOI: 10.1093/ajcn/80.3.539) — Comprehensive review; dietary sources: wheat germ/bran (~1%), spinach (~0.7%), seafood; plant sources can provide meaningful intake ⚠️ older evidence (older evidence)
- [B, cohort] Dalmeijer et al. — Dietary intakes of folate, betaine, and choline and CVD risk in women (2008 · PMID: 17375117 · DOI: 10.1038/sj.ejcn.1602725) · ⚖️ mixed — 17,357 women, 6-year follow-up; weak association between higher betaine intake and reduced CVD risk ⚠️ Dietary intake only (not supplementation), observational, weak effect (older evidence)
- [B, meta-analysis] Betaine supplementation moderately increases total cholesterol: systematic review and meta-analysis — Zawieja et al. (2021 · PMID: 31809615 · DOI: 10.1080/19390211.2019.1699223) ⚠️ Limitation not yet assessed
- [B, rct] Low-dose B vitamins plus betaine supplementation for lowering homocysteine in Chinese adults with hyperhomocysteinemia: double-blind RCT — Lu et al. (2023 · PMID: 36717385 · DOI: 10.1007/s00394-023-03087-y) — n=100 Chinese adults 18-65y with hyperhomocysteinemia; 12 weeks; 1 g betaine + low-dose B-vitamins (400 μg folate, 8 mg B6, 6.4 μg B12)/day vs placebo. Plasma homocysteine MD -3.87 μmol/L (p=0.012), larger than Ashtary-Larky pooled WMD (-1.30). ⚠️ Combined betaine + B-vitamin intervention; cannot fully isolate betaine contribution. Homocysteine lowering is NOT a validated surrogate for cardiovascular outcomes — multiple hard-endpoint RCTs (HOPE-2, VISP, SEARCH) show homocysteine reduction does not reduce CV events. Grade B because unvalidated-surrogate primary endpoint.
- [A, rct] Chronic betaine supplementation on performance in professional young soccer players during competitive season: RCT — Nobari et al. (2021 · PMID: 34663363 · DOI: 10.1186/s12970-021-00464-y) — n=29 young professional soccer players (15.5y), 14 weeks, 2 g betaine/day vs placebo. Significant group×time interactions (p<0.05) favoring betaine for VO2max, anaerobic peak power, muscular strength, countermovement jump, sprint time, repeated sprint, predicted 1-RM. ⚠️ Small sample (n=29 adolescent athletes); single sport; field testing conditions.
Bioavailability
- [C, animal] Molecular weight and gut microbiota determine bioavailability of orally administered hyaluronic acid (2023 · PMID: 37182970 · DOI: 10.1016/j.carbpol.2023.120880) — ¹³C-labeled HA in mice; gut microbiota essential for absorption; molecular weight affects uptake patterns ⚠️ Animal study; human pharmacokinetics may differ
- [C, animal] Oe et al. — Dietary hyaluronic acid migrates into the skin of rats (2014 · PMID: 25383371 · DOI: 10.1155/2014/378024) — Oral HA reaches skin tissue after ingestion — mechanistic proof of target tissue migration ⚠️ Animal study (older evidence)
- [B, review] Absorption, distribution, metabolism and excretion of hyaluronic acid: a matter of molecular weight (2021 · PMID: 33999749 · DOI: 10.1080/17425255.2021.1931682) — Low-MW HA (<50 kDa) has better oral bioavailability; molecular weight critically determines absorption ⚠️ Limitation not yet assessed
- [B, review] Aguilera 2019 — The food matrix: implications in processing, nutrition and health (Crit Rev Food Sci Nutr review) (2019 · PMID: 30040431 · DOI: 10.1080/10408398.2018.1502743) — Frames the food matrix as a physical domain containing and interacting with food constituents — explains why isolated nutrients behave differently from whole-food equivalents. Supports bioavailability claims in the nutrition post (processing/matrix effects on nutrient accessibility). ⚠️ Narrative/expository review of food-matrix concept; not a systematic review with pre-registered protocol. Applies primarily to food-science framing of bioavailability rather than quantitative outcome estimates.
Blood Donation
- [A, rct] Houschyar et al. — Phlebotomy-induced iron reduction improves metabolic syndrome: RCT (2012 · PMID: 22647517 · DOI: 10.1186/1741-7015-10-54) · ⚖️ mixed — RCT in 64 metabolic syndrome patients; SBP decreased -16.6 mmHg vs control; improved glucose, HbA1c, lipids via iron reduction ⚠️ Metabolic syndrome patients only — may not generalize to healthy individuals (older evidence)
- [B, cohort] Ascherio et al. — Blood donations and risk of coronary heart disease in men (2001 · PMID: 11136685 · DOI: 10.1161/01.cir.103.1.52) · ⚖️ mixed — 38,244 men, 4-year follow-up; RR 1.2 (0.8–1.8) for highest donation group — no cardiovascular benefit found ⚠️ Observational; contradicts iron-heart hypothesis (older evidence)
- [B, cohort] Edgren et al. — Donation frequency, iron loss, and risk of cancer among blood donors (2008 · PMID: 18398098 · DOI: 10.1093/jnci/djn084) · ⚖️ mixed — 10,866 cancer cases vs 107,140 controls; possible reduced risk for iron-associated cancers in men (OR 0.70) but inconsistent across latency periods ⚠️ Authors express doubt about consistency of cancer findings (older evidence)
- [B, cohort] Fernández-Real et al. — Iron stores, blood donation, and insulin sensitivity and secretion (2005 · PMID: 15976100 · DOI: 10.1373/clinchem.2004.046847) — 181 men; donors had increased insulin sensitivity (3.42 vs 2.45) and lower ferritin (101.5 vs 162 μg/L) ⚠️ Cross-sectional, males only, healthy donor bias possible (older evidence)
- [B, review] Cable et al. — Iron status of blood donors (2022 · PMID: 35916553 · DOI: 10.1097/MOH.0000000000000733) · ⚖️ mixed — Premenopausal women, teenagers, and high-frequency donors at highest iron-deficiency risk; ferritin monitoring recommended ⚠️ Safety review — highlights risks of over-donation
- [B, meta-analysis] Outcome of phlebotomy for treating nonalcoholic fatty liver disease: systematic review and meta-analysis — Jaruvongvanich et al. (2016 · PMID: 27976635 · DOI: 10.4103/1319-3767.195551) — 4 interventional trials, n=438 NAFLD participants. HOMA-IR MD -0.84 (0.01-1.67); ALT MD -10.05 U/L; HDL MD +3.48 mg/dL; triglycerides MD -9.89 mg/dL. Partial replication of Houschyar 2012’s insulin-sensitivity + lipid signal. ⚠️ Only 4 interventional trials; BP not a primary outcome; partial overlap with Houschyar 2012 population. HOMA-IR, ALT, and lipid markers are NOT validated surrogates for NAFLD hard outcomes (cirrhosis, HCC, liver-related mortality). Grade B because unvalidated-surrogate endpoints despite meta-analysis design.
Blood Pressure
- [A, rct] Sun et al. — Taurine supplementation lowers blood pressure and improves vascular function in prehypertension (2016 · PMID: 26781281 · DOI: 10.1161/HYPERTENSIONAHA.115.06624) — RCT; 120 prehypertensives; 1.6g/day for 12 weeks reduced SBP and DBP, improved endothelial function ⚠️ Limitation not yet assessed
- [B, rct] Slow breathing, hemodynamics and neuroendocrine response in hypertensives — Yuenyongchaiwat et al. (2024 RCT) (2024 · PMID: 38432795 · DOI: 10.1016/j.jbmt.2023.11.042) ⚠️ Limitation not yet assessed
Body Composition
- [A, meta-analysis] Ashtary-Larky et al. — Betaine supplementation fails to improve body composition: systematic review and meta-analysis (2022 · PMID: 34743773 · DOI: 10.1017/S0007114521004062) · ⚖️ mixed — No significant effect on body mass, BMI, or body fat percentage ⚠️ Important negative finding for balanced assessment
Cancer
- [B, cohort] Edgren et al. — Donation frequency, iron loss, and risk of cancer among blood donors (2008 · PMID: 18398098 · DOI: 10.1093/jnci/djn084) · ⚖️ mixed — 10,866 cancer cases vs 107,140 controls; possible reduced risk for iron-associated cancers in men (OR 0.70) but inconsistent across latency periods ⚠️ Authors express doubt about consistency of cancer findings (older evidence)
Cardiovascular
- [A, meta-analysis] Ashtary-Larky et al. — Effects of betaine supplementation on cardiovascular markers: systematic review and meta-analysis (2022 · PMID: 33764214 · DOI: 10.1080/10408398.2021.1902938) — Homocysteine reduction WMD -1.30 μmol/L; doses <4g/day avoid adverse lipid effects seen at ≥4g ⚠️ Lipid increases (TC, LDL) at ≥4g/day doses
- [B, cohort] Ascherio et al. — Blood donations and risk of coronary heart disease in men (2001 · PMID: 11136685 · DOI: 10.1161/01.cir.103.1.52) · ⚖️ mixed — 38,244 men, 4-year follow-up; RR 1.2 (0.8–1.8) for highest donation group — no cardiovascular benefit found ⚠️ Observational; contradicts iron-heart hypothesis (older evidence)
- [A, rct] Sun et al. — Taurine supplementation lowers blood pressure and improves vascular function in prehypertension (2016 · PMID: 26781281 · DOI: 10.1161/HYPERTENSIONAHA.115.06624) — RCT; 120 prehypertensives; 1.6g/day for 12 weeks reduced SBP and DBP, improved endothelial function ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of oral taurine supplementation on cardiometabolic risk factors: meta-analysis of RCTs (2025 · PMID: 41275513 · DOI: 10.1093/nutrit/nuaf220) — Comprehensive 2025 meta-analysis; cardiometabolic benefits including blood pressure, glucose, and lipid improvements ⚠️ Limitation not yet assessed
- [B, cohort] Wang et al. — Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease (2011 · PMID: 21475195 · DOI: 10.1038/nature09922) · ⚖️ mixed — Landmark Nature paper; betaine identified as TMAO precursor linked to CVD risk via gut microbiome metabolism ⚠️ Observational; TMAO clinical significance still debated (older evidence)
- [B, cohort] Dalmeijer et al. — Dietary intakes of folate, betaine, and choline and CVD risk in women (2008 · PMID: 17375117 · DOI: 10.1038/sj.ejcn.1602725) · ⚖️ mixed — 17,357 women, 6-year follow-up; weak association between higher betaine intake and reduced CVD risk ⚠️ Dietary intake only (not supplementation), observational, weak effect (older evidence)
- [A, systematic-review] Beneficial effects of linoleic acid on cardiometabolic health: an update — Jackson et al. (Lipids in Health and Disease 2024) (2024 · PMID: 39267068 · DOI: 10.1186/s12944-024-02246-2) · ⚖️ mixed — Higher LA levels associated with lower CVD risk, lower T2D risk; only 0.2% of dietary LA converts to arachidonic acid; increasing LA does not raise inflammatory markers in controlled trials ⚠️ Primarily observational evidence for CVD outcomes; conversion rate data from metabolic studies
- [B, rct] Daily eggs in heart-healthy diet for 8 weeks on cardio-metabolic markers in hyperlipidemia — Njike et al. 2026 crossover RCT (2026 · PMID: 40957619 · DOI: 10.1080/27697061.2025.2560431)
- [B, meta-analysis] Dietary cholesterol effects on LDL and HDL: meta-regression — Vincent et al. 2019 (2019 · PMID: 30596814 · DOI: 10.1093/ajcn/nqy303)
- [B, meta-analysis] Ruminant trans-fatty acids and CVD risk markers in healthy subjects — Gayet-Boyer et al. 2014 SR/MA (2014 · PMID: 25345440 · DOI: 10.1017/S0007114514001998) — Distinguishes ruminant vs industrial TFA. Supports the industrial-TFA-LDL/HDL claim by establishing that ruminant TFA (low-dose natural) does not show linear harm vs industrial TFA. (older evidence)
- [B, meta-analysis] Olive oil consumption and all-cause, cardiovascular, cancer mortality — Del Saz-Lara et al. 2024 SR/MA (2024 · PMID: 39523824 · DOI: 10.1039/d4fo04059g)
- [B, review] Health outcomes associated with olive oil intake — Chiavarini et al. 2024 umbrella review of meta-analyses (2024 · PMID: 39200546 · DOI: 10.3390/foods13162619)
- [B, review] Jenkins et al. 2021 — Supplemental vitamins and minerals for CVD prevention and treatment (JACC Focus Seminar review) (2021 · PMID: 33509399 · DOI: 10.1016/j.jacc.2020.09.619) — Null CVD effects for vitamin D (and multivitamins, calcium, vitamin C). Moderate-quality evidence supporting folic acid and B vitamins for stroke prevention. Increased mortality risk reported with niacin + statin combination. Contradiction-search candidate — vitamin D alone did not reduce CVD events in included evidence base. ⚠️ JACC Focus Seminar narrative/scoping review synthesizing prior RCTs and meta-analyses across folic acid, B vitamins, multivitamins, vitamin D, calcium, vitamin C, niacin; not a de novo systematic review with pre-registered protocol; heterogeneous populations and dosing regimens across cited evidence.
- [A, cohort] Biomarkers of dietary omega-6 fatty acids and incident CVD and mortality: pooled analysis — Marklund et al. (2019 · PMID: 30971107 · DOI: 10.1161/CIRCULATIONAHA.118.038908) — 30 prospective studies, 68,659 participants, 15,198 CVD events; higher LA biomarker associated with lower total CVD (HR 0.93), CV mortality (HR 0.78), ischemic stroke (HR 0.88). ⚠️ Limitation not yet assessed
- [A, meta-analysis] Dietary intake and biomarkers of linoleic acid and mortality: systematic review and meta-analysis of prospective cohort studies — Li et al. (2020 · PMID: 32020162 · DOI: 10.1093/ajcn/nqz349) — 38 studies / 44 cohorts; 811,069 participants (dietary intake) + 65,411 (biomarkers); 50,786 CVD deaths. Dietary LA vs CVD mortality RR 0.87 (0.82–0.92); LA biomarkers vs CVD mortality RR 0.89 (0.85–0.94) per SD; total mortality (dietary) RR 0.87 (0.81–0.94). ⚠️ Observational pooled-cohort evidence; residual confounding cannot be fully excluded despite large N.
- [B, rct] Low-dose B vitamins plus betaine supplementation for lowering homocysteine in Chinese adults with hyperhomocysteinemia: double-blind RCT — Lu et al. (2023 · PMID: 36717385 · DOI: 10.1007/s00394-023-03087-y) — n=100 Chinese adults 18-65y with hyperhomocysteinemia; 12 weeks; 1 g betaine + low-dose B-vitamins (400 μg folate, 8 mg B6, 6.4 μg B12)/day vs placebo. Plasma homocysteine MD -3.87 μmol/L (p=0.012), larger than Ashtary-Larky pooled WMD (-1.30). ⚠️ Combined betaine + B-vitamin intervention; cannot fully isolate betaine contribution. Homocysteine lowering is NOT a validated surrogate for cardiovascular outcomes — multiple hard-endpoint RCTs (HOPE-2, VISP, SEARCH) show homocysteine reduction does not reduce CV events. Grade B because unvalidated-surrogate primary endpoint.
Exercise Performance
- [A, meta-analysis] Zawieja et al. — Effects of chronic betaine supplementation on exercise performance: systematic review and meta-analysis (2024 · PMID: 39514262 · DOI: 10.1080/02640414.2024.2423578) — Strength benefits ES=0.47; lower-body strength SMD 0.49; vertical jump improved SMD 0.36; 317 participants across 17 studies ⚠️ No effect on upper-body strength or muscular endurance
- [B, rct] del Favero et al. — Creatine but not betaine increases muscle phosphocreatine and strength (2012 · PMID: 21744011 · DOI: 10.1007/s00726-011-0972-5) · ⚖️ mixed — RCT; creatine increased muscle PCr and strength, betaine did not — betaine does not replace creatine for energy ⚠️ Short duration (15 days), trained population only (older evidence)
- [B, review] Nikolaidis et al. 2018 — Nutrition in ultra-endurance: state of the art (Nutrients review, hyponatremia + sodium recommendations) (2018 · PMID: 30558350 · DOI: 10.3390/nu10121995) — Recommends fluid intake including sodium 10–25 mmol to reduce exercise-associated hyponatremia (EAH) risk; fluid limited to 300–600 mL/h during races. Supports the electrolyte-water balance claims — too much water without sodium → EAH; sodium without adequate water → dehydration. ⚠️ Narrative review synthesizing ultra-endurance nutrition; not a systematic review with pre-registered protocol. Recommendations are expert-consensus-style, not from a single meta-analysis.
- [A, rct] Chronic betaine supplementation on performance in professional young soccer players during competitive season: RCT — Nobari et al. (2021 · PMID: 34663363 · DOI: 10.1186/s12970-021-00464-y) — n=29 young professional soccer players (15.5y), 14 weeks, 2 g betaine/day vs placebo. Significant group×time interactions (p<0.05) favoring betaine for VO2max, anaerobic peak power, muscular strength, countermovement jump, sprint time, repeated sprint, predicted 1-RM. ⚠️ Small sample (n=29 adolescent athletes); single sport; field testing conditions.
Homocysteine
- [A, meta-analysis] Ashtary-Larky et al. — Effects of betaine supplementation on cardiovascular markers: systematic review and meta-analysis (2022 · PMID: 33764214 · DOI: 10.1080/10408398.2021.1902938) — Homocysteine reduction WMD -1.30 μmol/L; doses <4g/day avoid adverse lipid effects seen at ≥4g ⚠️ Lipid increases (TC, LDL) at ≥4g/day doses
- [B, rct] Steenge et al. — Betaine supplementation lowers plasma homocysteine in healthy men and women (2003 · PMID: 12730412 · DOI: 10.1093/jn/133.5.1291) — RCT; 6g/day lowered homocysteine in healthy sedentary adults — methylation benefits independent of exercise ⚠️ older evidence (older evidence)
- [B, rct] Low-dose B vitamins plus betaine supplementation for lowering homocysteine in Chinese adults with hyperhomocysteinemia: double-blind RCT — Lu et al. (2023 · PMID: 36717385 · DOI: 10.1007/s00394-023-03087-y) — n=100 Chinese adults 18-65y with hyperhomocysteinemia; 12 weeks; 1 g betaine + low-dose B-vitamins (400 μg folate, 8 mg B6, 6.4 μg B12)/day vs placebo. Plasma homocysteine MD -3.87 μmol/L (p=0.012), larger than Ashtary-Larky pooled WMD (-1.30). ⚠️ Combined betaine + B-vitamin intervention; cannot fully isolate betaine contribution. Homocysteine lowering is NOT a validated surrogate for cardiovascular outcomes — multiple hard-endpoint RCTs (HOPE-2, VISP, SEARCH) show homocysteine reduction does not reduce CV events. Grade B because unvalidated-surrogate primary endpoint.
Hyaluronic Acid
- [B, rct] Cicero et al. — Short-term effect of oral sodium hyaluronate on knee osteoarthritis (2020 · PMID: 32650511 · DOI: 10.3390/diseases8030026) — 200mg/day oral HA for 8 weeks; significant improvements in VAS pain, WOMAC scores, range of motion, reduced NSAID use vs placebo ⚠️ Single study, 8-week duration, combination full-spectrum formula
- [B, meta-analysis] de Carvalho & Davidson — Oral hyaluronic acid in osteoarthritis and low back pain: systematic review (2024 · PMID: 39886281 · DOI: 10.31138/mjr.240724.oha) — 11 studies, 597 patients; 9/11 showed improvement in pain and joint function; reduced IL-1, IL-6, IL-8 ⚠️ Varied doses, some combination products in reviewed studies
- [C, animal] Molecular weight and gut microbiota determine bioavailability of orally administered hyaluronic acid (2023 · PMID: 37182970 · DOI: 10.1016/j.carbpol.2023.120880) — ¹³C-labeled HA in mice; gut microbiota essential for absorption; molecular weight affects uptake patterns ⚠️ Animal study; human pharmacokinetics may differ
- [B, rct] Oral sodium hyaluronate improves skin hydration, barrier function and signs of aging: RCT (2025 · PMID: 41422283 · DOI: 10.1038/s41598-025-32758-5) — RCT; 150 healthy adults; oral HA improved skin hydration, barrier function, and aging signs ⚠️ Limitation not yet assessed
- [B, rct] Oral administration of hyaluronic acid to improve skin conditions: double-blind RCT (2023 · PMID: 38009035 · DOI: 10.1111/srt.13531) — Double-blind RCT; oral HA improves skin hydration vs placebo ⚠️ Limitation not yet assessed
- [C, animal] Oe et al. — Dietary hyaluronic acid migrates into the skin of rats (2014 · PMID: 25383371 · DOI: 10.1155/2014/378024) — Oral HA reaches skin tissue after ingestion — mechanistic proof of target tissue migration ⚠️ Animal study (older evidence)
- [B, review] Kawada et al. — Ingested hyaluronan moisturizes dry skin (2014 · PMID: 25014997 · DOI: 10.1186/1475-2891-13-70) — Review; oral HA moisturizes dry skin across multiple human trials ⚠️ older evidence (older evidence)
- [B, meta-analysis] Oral Hyaluronic Acid Supplement: efficacy in skin hydration, elasticity, and wrinkle depth reduction (2025 · PMID: 40911749 · DOI: 10.36849/jdd.8542) — 2025 systematic review; meta-analysis of 7 RCTs showing consistent skin hydration and elasticity benefits ⚠️ Limitation not yet assessed
- [B, review] Absorption, distribution, metabolism and excretion of hyaluronic acid: a matter of molecular weight (2021 · PMID: 33999749 · DOI: 10.1080/17425255.2021.1931682) — Low-MW HA (<50 kDa) has better oral bioavailability; molecular weight critically determines absorption ⚠️ Limitation not yet assessed
Inflammation
- [B, meta-analysis] Faghfouri et al. — Inflammatory and oxidative stress biomarkers following taurine supplementation: dose-response meta-analysis (2022 · PMID: 34584225 · DOI: 10.1038/s41430-021-01010-4) — Dose-response meta of RCTs; significant reductions in MDA and TNF-α; optimal at 1.5–3g/day for ≥8 weeks ⚠️ Limitation not yet assessed
- [A, systematic-review] Beneficial effects of linoleic acid on cardiometabolic health: an update — Jackson et al. (Lipids in Health and Disease 2024) (2024 · PMID: 39267068 · DOI: 10.1186/s12944-024-02246-2) · ⚖️ mixed — Higher LA levels associated with lower CVD risk, lower T2D risk; only 0.2% of dietary LA converts to arachidonic acid; increasing LA does not raise inflammatory markers in controlled trials ⚠️ Primarily observational evidence for CVD outcomes; conversion rate data from metabolic studies
- [B, meta-analysis] CLA supplementation on glycemic control, adipokines, cytokines — Ghodoosi et al. 2023 SR/MA (2023 · PMID: 37794481 · DOI: 10.1186/s12937-023-00876-3)
- [B, meta-analysis] CLA supplementation on inflammatory cytokines and adipokines — Rastgoo et al. 2023 SR/MA (2023 · PMID: 36911696 · DOI: 10.3389/fimmu.2023.1092077)
- [B, meta-analysis] Taurine supplementation as a therapeutic strategy for cellular senescence and chronic inflammation in long COVID: systematic review and meta-analysis — Wang et al. (2026 · PMID: 41803812 · DOI: 10.1186/s12879-026-13009-y) — 27 clinical trials (n=1,030) of taurine supplementation + 6-study analysis (n=308) of plasma taurine. Lower plasma taurine in PASC vs recovered; supplementation improved CRP, TNF-α, IL-6, MDA, HbA1c, HOMA-IR, lipids, BP, exercise capacity; 3 g/day optimal. Mechanistic overlap with Singh’s senescence/mitochondrial axis. ⚠️ Population is post-COVID patients (accelerated-aging model), not general aging cohort. Endpoints are inflammatory/metabolic biomarkers (CRP, TNF-α, IL-6, MDA, HbA1c) — not validated surrogates for long-COVID hard outcomes. Grade B because unvalidated-surrogate endpoints despite meta-analysis design.
Insulin Sensitivity
- [B, cohort] Fernández-Real et al. — Iron stores, blood donation, and insulin sensitivity and secretion (2005 · PMID: 15976100 · DOI: 10.1373/clinchem.2004.046847) — 181 men; donors had increased insulin sensitivity (3.42 vs 2.45) and lower ferritin (101.5 vs 162 μg/L) ⚠️ Cross-sectional, males only, healthy donor bias possible (older evidence)
- [A, meta-analysis] Taurine reduces the risk for metabolic syndrome: systematic review and meta-analysis of RCTs (2024 · PMID: 38755142 · DOI: 10.1038/s41387-024-00289-z) — Meta-analysis of RCTs; taurine reduces metabolic syndrome risk via improved insulin sensitivity and lipid profiles ⚠️ Limitation not yet assessed
Iron
- [A, rct] Houschyar et al. — Phlebotomy-induced iron reduction improves metabolic syndrome: RCT (2012 · PMID: 22647517 · DOI: 10.1186/1741-7015-10-54) · ⚖️ mixed — RCT in 64 metabolic syndrome patients; SBP decreased -16.6 mmHg vs control; improved glucose, HbA1c, lipids via iron reduction ⚠️ Metabolic syndrome patients only — may not generalize to healthy individuals (older evidence)
- [B, cohort] Edgren et al. — Donation frequency, iron loss, and risk of cancer among blood donors (2008 · PMID: 18398098 · DOI: 10.1093/jnci/djn084) · ⚖️ mixed — 10,866 cancer cases vs 107,140 controls; possible reduced risk for iron-associated cancers in men (OR 0.70) but inconsistent across latency periods ⚠️ Authors express doubt about consistency of cancer findings (older evidence)
- [B, cohort] Fernández-Real et al. — Iron stores, blood donation, and insulin sensitivity and secretion (2005 · PMID: 15976100 · DOI: 10.1373/clinchem.2004.046847) — 181 men; donors had increased insulin sensitivity (3.42 vs 2.45) and lower ferritin (101.5 vs 162 μg/L) ⚠️ Cross-sectional, males only, healthy donor bias possible (older evidence)
- [B, review] Cable et al. — Iron status of blood donors (2022 · PMID: 35916553 · DOI: 10.1097/MOH.0000000000000733) · ⚖️ mixed — Premenopausal women, teenagers, and high-frequency donors at highest iron-deficiency risk; ferritin monitoring recommended ⚠️ Safety review — highlights risks of over-donation
- [B, meta-analysis] Outcome of phlebotomy for treating nonalcoholic fatty liver disease: systematic review and meta-analysis — Jaruvongvanich et al. (2016 · PMID: 27976635 · DOI: 10.4103/1319-3767.195551) — 4 interventional trials, n=438 NAFLD participants. HOMA-IR MD -0.84 (0.01-1.67); ALT MD -10.05 U/L; HDL MD +3.48 mg/dL; triglycerides MD -9.89 mg/dL. Partial replication of Houschyar 2012’s insulin-sensitivity + lipid signal. ⚠️ Only 4 interventional trials; BP not a primary outcome; partial overlap with Houschyar 2012 population. HOMA-IR, ALT, and lipid markers are NOT validated surrogates for NAFLD hard outcomes (cirrhosis, HCC, liver-related mortality). Grade B because unvalidated-surrogate endpoints despite meta-analysis design.
Joint Health
- [B, rct] Cicero et al. — Short-term effect of oral sodium hyaluronate on knee osteoarthritis (2020 · PMID: 32650511 · DOI: 10.3390/diseases8030026) — 200mg/day oral HA for 8 weeks; significant improvements in VAS pain, WOMAC scores, range of motion, reduced NSAID use vs placebo ⚠️ Single study, 8-week duration, combination full-spectrum formula
- [B, meta-analysis] de Carvalho & Davidson — Oral hyaluronic acid in osteoarthritis and low back pain: systematic review (2024 · PMID: 39886281 · DOI: 10.31138/mjr.240724.oha) — 11 studies, 597 patients; 9/11 showed improvement in pain and joint function; reduced IL-1, IL-6, IL-8 ⚠️ Varied doses, some combination products in reviewed studies
Liver Health
- [A, rct] Abdelmalek et al. — Betaine for nonalcoholic fatty liver disease: RCT (2009 · PMID: 19824078 · DOI: 10.1002/hep.23239) · ⚖️ mixed — 20g/day for 1 year in NASH patients — failed to improve outcomes; confirms safety at very high doses ⚠️ Negative finding for NASH; supports safety data (older evidence)
- [B, review] Betaine in ameliorating alcohol-induced hepatic steatosis (2022 · PMID: 34817678 · DOI: 10.1007/s00394-021-02738-2) — Betaine protects against alcohol-induced liver damage through methyl donation and anti-inflammatory effects ⚠️ Review; limited human RCT data for alcohol-specific protection
- [B, meta-analysis] Outcome of phlebotomy for treating nonalcoholic fatty liver disease: systematic review and meta-analysis — Jaruvongvanich et al. (2016 · PMID: 27976635 · DOI: 10.4103/1319-3767.195551) — 4 interventional trials, n=438 NAFLD participants. HOMA-IR MD -0.84 (0.01-1.67); ALT MD -10.05 U/L; HDL MD +3.48 mg/dL; triglycerides MD -9.89 mg/dL. Partial replication of Houschyar 2012’s insulin-sensitivity + lipid signal. ⚠️ Only 4 interventional trials; BP not a primary outcome; partial overlap with Houschyar 2012 population. HOMA-IR, ALT, and lipid markers are NOT validated surrogates for NAFLD hard outcomes (cirrhosis, HCC, liver-related mortality). Grade B because unvalidated-surrogate endpoints despite meta-analysis design.
Metabolic Syndrome
- [A, rct] Houschyar et al. — Phlebotomy-induced iron reduction improves metabolic syndrome: RCT (2012 · PMID: 22647517 · DOI: 10.1186/1741-7015-10-54) · ⚖️ mixed — RCT in 64 metabolic syndrome patients; SBP decreased -16.6 mmHg vs control; improved glucose, HbA1c, lipids via iron reduction ⚠️ Metabolic syndrome patients only — may not generalize to healthy individuals (older evidence)
- [A, meta-analysis] Taurine reduces the risk for metabolic syndrome: systematic review and meta-analysis of RCTs (2024 · PMID: 38755142 · DOI: 10.1038/s41387-024-00289-z) — Meta-analysis of RCTs; taurine reduces metabolic syndrome risk via improved insulin sensitivity and lipid profiles ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of oral taurine supplementation on cardiometabolic risk factors: meta-analysis of RCTs (2025 · PMID: 41275513 · DOI: 10.1093/nutrit/nuaf220) — Comprehensive 2025 meta-analysis; cardiometabolic benefits including blood pressure, glucose, and lipid improvements ⚠️ Limitation not yet assessed
Oxidative Stress
- [B, meta-analysis] Faghfouri et al. — Inflammatory and oxidative stress biomarkers following taurine supplementation: dose-response meta-analysis (2022 · PMID: 34584225 · DOI: 10.1038/s41430-021-01010-4) — Dose-response meta of RCTs; significant reductions in MDA and TNF-α; optimal at 1.5–3g/day for ≥8 weeks ⚠️ Limitation not yet assessed
Safety
- [B, systematic-review] Shao & Hathcock — Risk assessment for taurine, L-glutamine, and L-arginine (2008 · PMID: 18325648 · DOI: 10.1016/j.yrtph.2008.01.004) — Systematic safety assessment; no adverse effects pattern at therapeutic doses; no established upper limit ⚠️ older evidence (older evidence)
Skin Health
- [B, rct] Oral sodium hyaluronate improves skin hydration, barrier function and signs of aging: RCT (2025 · PMID: 41422283 · DOI: 10.1038/s41598-025-32758-5) — RCT; 150 healthy adults; oral HA improved skin hydration, barrier function, and aging signs ⚠️ Limitation not yet assessed
- [B, rct] Oral administration of hyaluronic acid to improve skin conditions: double-blind RCT (2023 · PMID: 38009035 · DOI: 10.1111/srt.13531) — Double-blind RCT; oral HA improves skin hydration vs placebo ⚠️ Limitation not yet assessed
- [B, review] Kawada et al. — Ingested hyaluronan moisturizes dry skin (2014 · PMID: 25014997 · DOI: 10.1186/1475-2891-13-70) — Review; oral HA moisturizes dry skin across multiple human trials ⚠️ older evidence (older evidence)
- [B, meta-analysis] Oral Hyaluronic Acid Supplement: efficacy in skin hydration, elasticity, and wrinkle depth reduction (2025 · PMID: 40911749 · DOI: 10.36849/jdd.8542) — 2025 systematic review; meta-analysis of 7 RCTs showing consistent skin hydration and elasticity benefits ⚠️ Limitation not yet assessed
Sweeteners
- [B, review] Dietary Influences on Gut Microbiota with a Focus on Metabolic Syndrome — Thomas et al. (2022 · PMID: 35704900 · DOI: 10.1089/met.2021.0131) — high-sugar and high-fat diet induces dysbiosis and disrupts barrier; high-fiber diet reverses metabolic dysbiosis and reduces systemic inflammation ⚠️ Limitation not yet assessed
- [A, meta-analysis] Chiavaroli et al. 2015 — Fructose effects on lipid targets: systematic review (2015 · PMID: 26358358 · DOI: 10.1161/JAHA.114.001700) — Fructose increased triglycerides compared to other carbohydrates in isocaloric comparisons ⚠️ Controlled feeding trials only, short-term studies (older evidence)
- [B, meta-analysis] Ter Horst et al. 2016 — Fructose consumption and insulin sensitivity meta-analysis (2016 · PMID: 27935520 · DOI: 10.3945/ajcn.116.137786) — High-dose fructose consumption impaired hepatic insulin sensitivity compared to glucose ⚠️ Heterogeneous study populations and doses
- [A, meta-analysis] Chiavaroli et al. 2021 — Low glycaemic index/load dietary patterns and glycaemic control in diabetes: BMJ systematic review + meta-analysis (2021 · PMID: 34348965 · DOI: 10.1136/bmj.n1651) — Low glycemic index dietary patterns reduced HbA1c and fasting glucose in diabetes ⚠️ Moderate heterogeneity across studies
- [B, systematic-review] Li et al. 2022 — HFCS vs sucrose on anthropometric + metabolic parameters: systematic review + meta-analysis (Front Nutr) (2022 · PMID: 36238453 · DOI: 10.3389/fnut.2022.1013310) · ⚖️ mixed — No significant metabolic differences between HFCS and sucrose at comparable doses ⚠️ Limited number of direct comparison studies
- [B, rct] Stanhope & Havel 2008 — Fructose, glucose, sucrose, HFCS endocrine effects (2008 · PMID: 19064538 · DOI: 10.3945/ajcn.2008.25825D) — 25% energy as HFCS or sucrose increased 24-h triglycerides vs glucose ⚠️ Short-term feeding study (2 weeks) (older evidence)
- [B, meta-analysis] Norouzzadeh et al. 2025 — Honey cardiometabolic effects: GRADE meta-analysis (2025 · PMID: 41261111 · DOI: 10.1038/s41387-025-00403-9) — Honey improved some lipid parameters and total antioxidant capacity vs refined sugar control ⚠️ Heterogeneous honey types and doses across studies
- [B, rct] Raatz et al. 2015 — Honey, sucrose, HFCS glycemic / metabolic equivalence (2015 · PMID: 26338891 · DOI: 10.3945/jn.115.218016) — Honey, sucrose, and HFCS produced similar glycemic responses; no metabolic advantage for honey ⚠️ Single-meal study design, small sample size (older evidence)
- [B, rct] Wallace et al. 2010 — Manuka honey UMF 20+ safety in healthy humans (2010 · PMID: 20064284 · DOI: 10.1017/S0007114509992777) — Daily Manuka honey consumption showed no adverse effects on safety parameters ⚠️ Industry-associated, healthy population only, 4-week duration (older evidence) (⚠️ industry-funded)
- [B, cohort] Hazen et al. 2023 — Erythritol and cardiovascular event risk (Nature Medicine) (2023 · PMID: 36849732 · DOI: 10.1038/s41591-023-02223-9) — Higher plasma erythritol associated with MACE risk; erythritol enhanced platelet aggregation in vitro ⚠️ Observational design, confounding possible, elevated-risk population; does not prove causation
- [B, cohort] Abushamat et al. 2025 — Erythritol, erythronate, and cardiovascular outcomes in older adults (ARIC, JACC Adv) (2025 · PMID: 39983608 · DOI: 10.1016/j.jacadv.2025.101605) — Independent prospective replication of Hazen 2023 (PMID:36849732) — higher circulating erythritol and erythronate associated with HF hospitalisation, HFpEF, CV death, and total mortality; erythronate also associated with CHD, stroke, HFrEF ⚠️ Observational ARIC cohort (n=4,006, ages 54-75, no prior CVD); plasma erythritol may reflect endogenous pentose-phosphate flux as well as dietary intake; cannot separate dietary erythritol attribution from endogenous production
- [B, observational] Fan et al. 2025 — Artificial sweeteners and CVD/stroke/diabetes Mendelian randomization (Am J Prev Cardiol) (2025 · PMID: 41141604 · DOI: 10.1016/j.ajpc.2025.101325) — Genetically predicted erythritol exposure positively associated with CHD, MI, and stroke; null for heart failure and diabetes; provides causal-inference triangulation for the Hazen/Witkowski observational signal ⚠️ Two-sample MR (cataloged as observational in registry enum); instrument validity depends on GWAS-derived genetic proxies for sweetener exposure (these proxies are weak for direct intake and partly tag endogenous metabolite levels); residual horizontal pleiotropy possible
- [C, animal] Wu et al. 2025 — Aspartame aggravates atherosclerosis via insulin-triggered CX3CL1 inflammation (Cell Metabolism) (2025 · PMID: 39978336 · DOI: 10.1016/j.cmet.2025.01.006) — Aspartame elevated insulin secretion in mice and monkeys via parasympathetic activation; in atherosclerotic mice it accelerated plaque growth via insulin-dependent CX3CL1/CX3CR1 monocyte recruitment; first plausible mechanistic chain for an aspartame-CV link ⚠️ Mouse and non-human-primate mechanistic study; aspartame doses elevated relative to typical human ADI exposure; no direct human CV-event endpoint; pathway specificity (CX3CR1 monocyte deletion abrogates effect) is the strongest claim. Mechanism alone does not upgrade grade per core spec § Evidence quality model
- [C, in-vitro] In vitro bioassay investigations of the endocrine disrupting potential of steviol glycosides and their metabolite steviol (2016 · PMID: 26965840 · DOI: 10.1016/j.mce.2016.03.005) — Steviol glycosides showed endocrine-disrupting activity in reporter gene assays; does not confirm human hormonal effects ⚠️ In vitro only; clinical relevance in humans is unknown
- [C, animal] Effects of chronic administration of Stevia rebaudiana on fertility in rats (1999 · PMID: 10619379 · DOI: 10.1016/s0378-8741(99)00081-1) — Chronic high-dose Stevia extract reduced fertility parameters in male and female rats ⚠️ Animal study, high doses far above human ADI; not replicated in human RCTs (older evidence)
- [A, meta-analysis] Xylitol-containing products for preventing dental caries in children and adults — Riley et al. (Cochrane systematic review) (2015 · PMID: 25809586 · DOI: 10.1002/14651858.CD010743.pub2) — Systematic review of RCTs and controlled trials on xylitol-containing products vs controls for dental caries prevention ⚠️ Cochrane CDSR (10 trials, n≈5903); heterogeneous products (gum, lozenge, toothpaste, syrup) and doses; GRADE certainty often low/very low for caries outcomes (older evidence)
- [B, rct] Personalized microbiome-driven effects of non-nutritive sweeteners on human glucose tolerance (2022 · PMID: 35987213 · DOI: 10.1016/j.cell.2022.07.016) — Saccharin and sucralose altered gut microbiome composition and impaired glucose tolerance in a subset of healthy adults ⚠️ Short-term (2 weeks), personalized microbiome responses; effects not universal
- [B, rct] Suez et al. 2014 — Artificial sweeteners induce glucose intolerance via microbiota (Nature) (2014 · PMID: 25231862 · DOI: 10.1038/nature13793) — Saccharin consumption altered human gut microbiome and induced glucose intolerance; primarily supported by mouse experiments ⚠️ Human component small (n=7); primarily mouse data drove findings (older evidence)
- [B, narrative-review] Potential effects of sucralose and saccharin on gut microbiota: a review (2022 · PMID: 35458244 · DOI: 10.3390/nu14081682) — Evidence suggests sucralose and saccharin can negatively affect gut microbiota at studied doses ⚠️ Narrative review; heterogeneous study quality
- [B, systematic-review] A systematic review of the effects of polyols on gastrointestinal health and irritable bowel syndrome (2017 · PMID: 28710145 · DOI: 10.3945/an.117.015560) — Sugar alcohols cause GI symptoms at varying thresholds; tolerance depends on type and individual ⚠️ Limited high-quality studies; dose variability across studies
- [B, systematic-review] Evidence for cephalic phase insulin release in humans: a systematic review and meta-analysis (2023 · PMID: 32707265 · DOI: 10.1016/j.appet.2020.104792) · ⚖️ mixed — Sweet taste can trigger cephalic phase insulin release (CPIR) but artificial sweeteners show variable and often absent effects ⚠️ Inconsistent findings across studies; highly variable methodology
- [B, rct] Teff et al. 1995 — Sweet taste and cephalic phase insulin release in men (1995 · PMID: 7652029 · DOI: 10.1016/0031-9384(94)00373-d) · ⚖️ mixed — Aspartame sweet taste triggered cephalic phase insulin release in normal-weight men ⚠️ Small sample (n=8), male-only, single-dose acute design (older evidence)
- [A, rct] Raben et al. 2002 — Sucrose vs artificial sweeteners 10-week weight RCT (2002 · PMID: 12324283 · DOI: 10.1093/ajcn/76.4.721) — Artificial sweetener group lost weight vs sucrose group over 10 weeks; no appetite-regulation difference ⚠️ Ad libitum intake, potential compliance issues (older evidence)
- [B, review] Artificial sweeteners are not the answer to childhood obesity (2015 · PMID: 25828597 · DOI: 10.1016/j.appet.2015.03.027) · ⚖️ mixed — Artificial sweeteners may disrupt learned sweet taste–calorie associations, potentially undermining caloric reduction goals ⚠️ Primarily animal evidence; narrative review (older evidence)
- [A, rct] Sucrose compared with artificial sweeteners: a clinical intervention study of effects on energy intake, appetite, and energy expenditure after 10 wk of supplementation in overweight subjects (2014 · PMID: 24787495 · DOI: 10.3945/ajcn.113.081554) · ⚖️ mixed — No significant difference in energy intake or expenditure between NAS and sucrose groups at 10 weeks ⚠️ Overweight population only; short-term study (older evidence)
- [B, systematic-review] The Association Between Artificial Sweeteners and Obesity (2017 · PMID: 29159583 · DOI: 10.1007/s11894-017-0602-9) · ⚖️ mixed — Observational studies associate NAS with weight gain, but causation is likely reversed; RCTs show opposite or null ⚠️ Primarily observational; reverse causation likely (people use sweeteners because overweight)
- [B, rct] Gastrointestinal tolerance of erythritol and xylitol ingested in a liquid (2007 · PMID: 16988647 · DOI: 10.1038/sj.ejcn.1602532) — 35g erythritol well tolerated; 50g xylitol caused significant GI symptoms in young adults ⚠️ Young adults only; single-dose study (older evidence)
- [B, systematic-review] Gastrointestinal disturbances associated with the consumption of sugar alcohols with special consideration of xylitol (2016 · PMID: 27840639 · DOI: 10.1155/2016/5967907) — GI tolerance varies widely among sugar alcohols; erythritol best tolerated, sorbitol worst ⚠️ Heterogeneous study designs and populations
- [A, meta-analysis] The effect of dietary glycaemic index on glycaemia in patients with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials (2018 · PMID: 29562676 · DOI: 10.3390/nu10030373) — Low GI diets significantly reduced fasting glucose and HbA1c in type 2 diabetes ⚠️ Type 2 diabetes patients only; not generalizable to healthy populations
- [B, meta-analysis] Fructose, high-fructose corn syrup, sucrose, and nonalcoholic fatty liver disease or indexes of liver health: a systematic review and meta-analysis (2014 · PMID: 25099546 · DOI: 10.3945/ajcn.114.086314) — High-dose fructose associated with increased hepatic fat and liver enzymes; effect dose-dependent ⚠️ Short-term studies; heterogeneous interventions (older evidence)
- [B, systematic-review] Effects of nonnutritive sweeteners on body weight and BMI in diverse clinical contexts: Systematic review and meta-analysis (2022 · PMID: 32216045 · DOI: 10.1111/obr.13020) · ⚖️ mixed — Mixed evidence for NAS in weight management; short-term caloric reduction not always maintained long-term ⚠️ Heterogeneous study designs and populations
- [B, review] Arnone et al. 2022 — Sugars and gastrointestinal health: dysbiosis and barrier disruption (Clin Gastroenterol Hepatol) (2022 · PMID: 34902573 · DOI: 10.1016/j.cgh.2021.12.011) — Excessive sugar intake and hyperglycemia disrupt the intestinal barrier and cause profound gut microbiota dysbiosis; mechanism: simple sugars preferentially fuel Proteobacteria and Enterobacteriaceae while starving butyrate-producing commensals ⚠️ Review format; direct causal human RCTs on gut barrier endpoints specifically for sugar are limited; mechanistic data primarily from animal and in vitro studies
- [B, review] Guney et al. 2023 — Dietary fructose, gut permeability, microbiota, abdominal adiposity and insulin (Heliyon) (2023 · PMID: 37636431 · DOI: 10.1016/j.heliyon.2023.e18896) — Dietary high-fructose increases intestinal permeability and circulating endotoxin via disruption of tight junction proteins; also alters gut microbiota composition unfavorably ⚠️ Review; mechanistic human data on gut permeability endpoints specifically from fructose intervention is limited; most direct evidence from animal models
- [C, in-vitro] Adolphus et al. 2025 — D-allulose and erythritol increase butyrate ex vivo (Benef Microbes) (2025 · PMID: 40312039 · DOI: 10.1163/18762891-bja00071) — Both d-allulose and erythritol increased butyrate production in ex vivo fecal fermentation and showed potential prebiotic-like activity; preliminary finding ⚠️ Ex vivo fecal fermentation model; n=12 (6 healthy, 6 T2DM); does not confirm in vivo human benefit; prebiotic claim requires in vivo RCT confirmation
- [B, cohort] Minabou Ndjite et al. 2025 — Gut microbial utilization of d-allulose via AlsE (Commun Biol) (2025 · PMID: 40595444 · DOI: 10.1038/s42003-025-08391-3) — 15.8% of healthy adult human gut microbiomes carry the AlsE enzyme which can ferment d-allulose; allulose may not be fully inert in all individuals ⚠️ Metagenomic survey; no dietary intervention; AlsE presence does not confirm in vivo fermentation magnitude
- [C, animal] Nagai et al. 2013 — Maple syrup shows lower glycemic response than sucrose in diabetic rat model (2013 · PMID: 24005018 · DOI: 10.5650/jos.62.737) — Lower plasma glucose elevation vs sucrose in T2DM rats; no difference in insulin response; not confirmed in humans ⚠️ Animal model only (OLETF diabetic rats); no human applicability data; small study (older evidence)
- [C, animal] Morissette et al. 2023 — Maple syrup substitution improves insulin resistance and gut microbiota in obese mice (2023 · PMID: 37877794 · DOI: 10.1152/ajpendo.00065.2023) — 10% sucrose-to-maple-syrup substitution reduced intestinal α-glucosidase activity, improved insulin resistance, increased beneficial gut bacteria; industry-funded ⚠️ Animal model; partial substitution only (10%); male mice only; industry-funded (Quebec Maple Syrup Producers) (⚠️ industry-funded)
- [C, in-vitro] Sato et al. 2019 — Novel oligosaccharide from maple syrup inhibits digestive enzymes (2019 · PMID: 31614552 · DOI: 10.3390/ijms20205041) — Novel oligosaccharide inhibited invertase and α-glucosidase in vitro and reduced glucose response when co-administered with sucrose in diabetic rats ⚠️ Mechanistic only; single isolated component; concentration in whole commercial maple syrup unknown
- [C, in-vitro] Ma et al. 2016 — Maple gallotannins show α-glucosidase inhibition and anti-glycation effects (2016 · PMID: 27101975 · DOI: 10.1039/c6fo00169f) — Glucitol-core gallotannins from maple showed superior anti-glycation activity and α-glucosidase inhibition in vitro ⚠️ In vitro only; isolated compounds; bioavailability and whole-syrup relevance unclear
- Variation and correlation of properties in different grades of maple syrup (2014 · PMID: 24408861 · DOI: 10.1007/s11130-013-0401-x) — Darker maple syrup grades contain significantly more minerals (Mn, Zn, Ca, K, Mg); nutritional significance at typical serving sizes unclear ⚠️ Analytical study; no serving-size analysis; high variability (>10-fold range) across samples (older evidence)
- [B, cohort] Witkowski et al. 2024 — Xylitol is prothrombotic and associated with cardiovascular risk (Eur Heart J) (2024 · PMID: 38842092 · DOI: 10.1093/eurheartj/ehae244) · ⚡ contradicting — Circulating xylitol associated with 1.57× MACE risk; xylitol enhanced platelet reactivity and thrombus formation in mechanistic studies; xylitol-sweetened drink raised plasma levels and platelet responsiveness in 10 healthy volunteers ⚠️ Observational design (discovery n=1,157; validation n=2,149); population with pre-existing cardiovascular risk; endogenous xylitol production complicates dietary attribution; human intervention
- [B, meta-analysis] Reimer et al. 2024 — Chicory inulin-type fructans for weight management: systematic review and meta-analysis (Am J Clin Nutr) (2024 · PMID: 39313030 · DOI: 10.1016/j.ajcnut.2024.09.019) — Inulin-type fructans significantly reduced body weight, BMI, and waist circumference; effect modest; high heterogeneity limits certainty; Grade B due to industry sole support ⚠️ Industry-funded (BENEO); considerable heterogeneity in weight outcomes I²=73%; 32 RCTs n=1184; doses 8–30g/day; most trials ≤12 weeks; weight loss -0.97kg (CI -1.38 to -0.56) (⚠️ industry-funded)
- [B, meta-analysis] Talukdar et al. 2024 — Inulin-type fructans and cardiovascular risk factors: systematic review and meta-analysis (Am J Clin Nutr) (2024 · PMID: 38309832 · DOI: 10.1016/j.ajcnut.2023.10.030) — Inulin-type fructans modestly reduced LDL-C and triglycerides; evidence certainty rated very low by GRADE; cardiovascular outcomes are all surrogate markers ⚠️ 55 RCTs n=2518; very low to low certainty of evidence (GRADE); LDL reduction -0.14 mmol/L clinically modest; no hard cardiovascular outcome data; surrogate endpoints only
- [B, review] 40 years of adding more fructose to high fructose corn syrup than is safe, through the lens of malabsorption and altered gut health-gateways to chronic disease (2024 · PMID: 38302919 · DOI: 10.1186/s12937-024-00919-3) — Documents agave syrup as a high-fructose source comparable to HFCS; excess free fructose linked to malabsorption and altered gut health pathways ⚠️ Single-author review; no meta-analysis; focused on US exposure patterns; agave fructose content cited from food composition databases rather than independent lab analysis
- [B, rct] Genta et al. 2009 — Yacon syrup: beneficial effects on obesity and insulin resistance in humans (Clin Nutr) (2009 · PMID: 19254816 · DOI: 10.1016/j.clnu.2009.01.013) — Yacon syrup (0.14g FOS/kg/day) significantly reduced body weight, waist circumference, BMI, fasting insulin, and HOMA-IR vs placebo; GI intolerance at higher doses limited adherence ⚠️ Single study; n=40 pre-menopausal women with obesity; 120-day duration; no male participants; not independently replicated at same scale; older evidence (2009); GI tolerance issues at higher (older evidence)
- [B, rct] Erythritol ingestion enhances platelet reactivity and thrombosis in healthy volunteers — Witkowski et al. 2024 (2024 · PMID: 39114916 · DOI: 10.1161/ATVBAHA.124.321019) · ⚖️ mixed — Prospective interventional study (n=10/group): 30g erythritol (not glucose) caused >1000-fold plasma increase and enhanced stimulus-dependent platelet aggregation, serotonin release, and CXCL4 release in all subjects ⚠️ Small sample (n=10); single-dose acute study; same research group as observational finding; no clinical endpoint measured
- [A, meta-analysis] Food sources of fructose-containing sugars and NAFLD: systematic review and meta-analysis of controlled trials — Lee et al. (2022 · PMID: 35889803 · DOI: 10.3390/nu14142846) ⚠️ Limitation not yet assessed
- [B, review] Carcinogenicity of aspartame, methyleugenol, and isoeugenol (IARC summary) — Riboli et al. 2023 Lancet Oncology (2023 · PMID: 37454664 · DOI: 10.1016/S1470-2045(23)00341-8) — IARC Monograph 134 Working Group summary article in Lancet Oncology 2023; classified aspartame as Group 2B (possibly carcinogenic) based on limited evidence for hepatocellular carcinoma in humans. Directly supports claim-0243.
- [B, review] Shaher et al. 2023 — Aspartame safety as a food sweetener and related health hazards (Nutrients review, PKU warning) (2023 · PMID: 37630817 · DOI: 10.3390/nu15163627) · ⚖️ mixed — Authors conclude aspartame should be “totally forbidden for patients with phenylketonuria” due to phenylalanine metabolism impairment. Also flags caution for seizure/neurological patients and pregnancy. Directly supports PKU-contraindication claim and informs aspartame-safety framing. ⚠️ Narrative review covering approval history, metabolism, and concerns across multiple exposure endpoints. Not a systematic review with pre-registered protocol.
- [A, meta-analysis] Huang & Chen 2023 — Dietary sugar consumption and health: umbrella review (BMJ) (2023 · PMID: 37019448 · DOI: 10.1136/bmj-2022-071609) — Umbrella review found harmful associations between dietary sugar intake and multiple endpoints including cardiometabolic disease and cancer. Specifically, every 25 g/day increment of fructose was associated with 22% higher pancreatic cancer risk (low-quality evidence). Recommends <25 g/day free sugars and <1 SSB/week. Supports fructose-in-excess harm framing in carbohydrates post. ⚠️ Umbrella review — summarizes prior SR/meta-analyses across heterogeneous exposure definitions (total sugars, free sugars, added sugars, sugar-sweetened beverages). Strength of evidence per association varied; many rated low-to-moderate quality.
- [A, meta-analysis] Sugar-free chewing gum in dental caries prevention: systematic review and meta-analysis — Newton et al. (2020 · PMID: 31743654 · DOI: 10.1177/2380084419887178) — Xylitol-only subgroup (8 trials) showed 33% prevented fraction vs 28% for all sugar-free gums. Replicates Riley 2015 direction for xylitol gum. Population includes adults and children; not Cochrane-process. ⚠️ Limitation not yet assessed
- [A, meta-analysis] Total sugar, added sugar, fructose, and sucrose intake and all-cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohorts — Huang C et al. (2023 · PMID: 37182401 · DOI: 10.1016/j.nut.2023.112032) — Dose-response MA of prospective cohorts. Total sugar vs all-cause mortality RR 1.09 (1.02-1.15), CV mortality RR 1.10 (1.02-1.18). Fructose vs all-cause RR 1.09 (1.03-1.16), CV RR 1.11 (1.03-1.20); cancer mortality null. Independent from Yin Huang BMJ umbrella despite shared surname. ⚠️ Observational cohorts; residual confounding; cancer mortality null result tempers pancreatic-specific finding.
Taurine
- [A, cohort] Singh et al. — Taurine deficiency as a driver of aging (2023 · PMID: 37289866 · DOI: 10.1126/science.abn9257) — Landmark Science paper; taurine levels decline ~80% age 25–65; supplementation increased median lifespan 10–12% in mice, improved healthspan in monkeys; reduced senescence, protected telomeres, improved mitochondria ⚠️ Multi-species study; human longevity data is correlational only
- [A, rct] Sun et al. — Taurine supplementation lowers blood pressure and improves vascular function in prehypertension (2016 · PMID: 26781281 · DOI: 10.1161/HYPERTENSIONAHA.115.06624) — RCT; 120 prehypertensives; 1.6g/day for 12 weeks reduced SBP and DBP, improved endothelial function ⚠️ Limitation not yet assessed
- [B, meta-analysis] Faghfouri et al. — Inflammatory and oxidative stress biomarkers following taurine supplementation: dose-response meta-analysis (2022 · PMID: 34584225 · DOI: 10.1038/s41430-021-01010-4) — Dose-response meta of RCTs; significant reductions in MDA and TNF-α; optimal at 1.5–3g/day for ≥8 weeks ⚠️ Limitation not yet assessed
- [A, meta-analysis] Taurine reduces the risk for metabolic syndrome: systematic review and meta-analysis of RCTs (2024 · PMID: 38755142 · DOI: 10.1038/s41387-024-00289-z) — Meta-analysis of RCTs; taurine reduces metabolic syndrome risk via improved insulin sensitivity and lipid profiles ⚠️ Limitation not yet assessed
- [A, meta-analysis] Effects of oral taurine supplementation on cardiometabolic risk factors: meta-analysis of RCTs (2025 · PMID: 41275513 · DOI: 10.1093/nutrit/nuaf220) — Comprehensive 2025 meta-analysis; cardiometabolic benefits including blood pressure, glucose, and lipid improvements ⚠️ Limitation not yet assessed
- [B, systematic-review] Shao & Hathcock — Risk assessment for taurine, L-glutamine, and L-arginine (2008 · PMID: 18325648 · DOI: 10.1016/j.yrtph.2008.01.004) — Systematic safety assessment; no adverse effects pattern at therapeutic doses; no established upper limit ⚠️ older evidence (older evidence)
- [B, resource] Laidlaw et al. — The taurine content of common foodstuffs (1990 · PMID: 2352336 · DOI: 10.1177/0148607190014002183) — Food composition study; omnivore diets ~40–400mg/day taurine; vegetarian/vegan diets near zero (older evidence)
- [B, meta-analysis] Taurine supplementation as a therapeutic strategy for cellular senescence and chronic inflammation in long COVID: systematic review and meta-analysis — Wang et al. (2026 · PMID: 41803812 · DOI: 10.1186/s12879-026-13009-y) — 27 clinical trials (n=1,030) of taurine supplementation + 6-study analysis (n=308) of plasma taurine. Lower plasma taurine in PASC vs recovered; supplementation improved CRP, TNF-α, IL-6, MDA, HbA1c, HOMA-IR, lipids, BP, exercise capacity; 3 g/day optimal. Mechanistic overlap with Singh’s senescence/mitochondrial axis. ⚠️ Population is post-COVID patients (accelerated-aging model), not general aging cohort. Endpoints are inflammatory/metabolic biomarkers (CRP, TNF-α, IL-6, MDA, HbA1c) — not validated surrogates for long-COVID hard outcomes. Grade B because unvalidated-surrogate endpoints despite meta-analysis design.