Derivation Web

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by researka:v2 · 2026-06-14 09:42:14.124402+04:00

# Research Synthesis: Resveratrol Effects — full paper

## Abstract

Evidence-honesty note: 30/60 retained sources are coded as null or no extracted directional signal; this corpus is non-supportive for clinical efficacy claims and hypothesis-generating only. Source-bundle reconciliation note: Directional coding is conservative claim-level coding from extracted claim records, not a statement that the source texts contain no directional findings; source-level positive, negative, or unclear findings should be interpreted through the coded outcome class, directness, and claim-count fields. 52/60 retained sources are indirect, review-level, adjacent, or mechanistic and are used only to bound interpretation. The conclusion therefore does not support broad causal, clinical, or policy claims.

This paper synthesizes evidence on resveratrol effects across 60 accepted source papers and 2499 high-confidence extracted claims.

The evidence profile contains 8 direct clinical sources, 21 adjacent clinical sources, and 1 mechanistic or model-system source, with 481 cross-study disagreements across the evidence base.

Positive study-level signals are summarized in the cardiometabolic, immune, dosing and pharmacokinetics outcome classes, null signals in the contextual adjacent evidence, dosing and pharmacokinetics, cardiometabolic outcome classes, and negative signals in the immune, dosing and pharmacokinetics, immune and inflammation outcome classes. The paper therefore interprets the corpus as a tiered evidence profile rather than as a single pooled effect.

The conclusion is that resveratrol effects remains a bounded geroscience case: the retained clinical and mechanistic evidence profile defines the scope for targeted testing, while mixed and null findings limit any unqualified anti-aging claim.

For that reason, the manuscript does not collapse every source into a single recommendation. It presents the intervention as a set of linked claims whose strength depends on the evidence tier and the match between mechanism, population, and endpoint.

## Introduction

Population aging has become the defining demographic transition of the twenty-first century, and the clinical question of whether pharmacological or nutraceutical interventions can extend healthy years of life — rather than merely defer individual diseases — now sits at the center of biomedical research strategy. The geroscience hypothesis reframes aging itself as a tractable, modifiable biological substrate, suggesting that targeting shared molecular hallmarks may yield dividends across multiple chronic conditions simultaneously. Within this framework, the question of whether resveratrol can be marshaled to slow aging trajectories, compress morbidity, or extend healthspan has acquired renewed urgency. The stakes are considerable: even modest shifts in the slope of functional decline could translate into meaningful reductions in disability, frailty, and the cumulative burden of cardiometabolic, immune, and neurodegenerative disease. The present synthesis is therefore motivated less by optimism about any single candidate than by the need to map an evidence base that has grown rapidly but unevenly. Across the curated corpus of 60 reference papers, positive signals cluster in cardiometabolic and immune outcome classes, while null findings dominate contextual and dosing pharmacokinetics classes, and direct conflict emerges on a small number of outcomes. The intent here is not to render a verdict on Resveratrol Effects as an anti-aging intervention, but to articulate, with appropriate epistemic humility, what the current human evidence can and cannot say.

The geroscience hypothesis rests on the proposition that aging biology, rather than any single disease, is the appropriate target for intervention, and that agents modulating conserved longevity pathways may simultaneously influence multiple age-related phenotypes. This logic has driven substantial investment in both novel compounds and the systematic repurposing of existing molecules with suggestive preclinical profiles. Repurposing offers practical advantages — known safety records, established formulations, and lower development cost — but it also introduces interpretive challenges, because the same compound may be repositioned across heterogeneous indications without a unifying clinical anchor. Within this landscape, resveratrol has occupied an unusual position: investigated for cardiometabolic, immune, bone, frailty, cognitive, renal, retinal, and oncologic endpoints, it functions less as a single therapeutic and more as a probe of whether pleiotropic mechanisms can be translated into pleiotropic clinical benefit. The intervention logic — activating sirtuin pathways, modulating oxidative stress and inflammatory cascades, and influencing mitochondrial biogenesis — is well articulated mechanistically, and preclinical evidence across multiple animal models appears to support the plausibility of the approach. Whether that mechanistic plausibility survives translation into adequately powered, well-controlled human trials remains, however, an open question. The present review therefore distinguishes carefully between the strength of the mechanistic case for resveratrol and the maturity of the human evidence, and treats any conflation of these as a primary source of interpretive error.

The human RCT landscape for resveratrol is, on inspection, substantially more heterogeneous than headline summaries suggest. Trial designs span mechanistic biomarker studies, functional and clinical endpoint studies, and crossover pharmacokinetic comparisons, and they have been conducted in populations ranging from healthy postmenopausal women to older adults with type 2 diabetes, knee osteoarthritis, mild-to-moderate Alzheimer's disease, COVID-19, Gulf War Illness, polycystic ovary syndrome, chronic periodontitis, and dyslipidemia. Doses vary considerably across the literature, as do durations of follow-up, and the endpoints addressed include lipid profiles, inflammatory markers, glycemic indices, cerebrovascular function, bone mineral density, frailty scores, balance, gait speed, and patient-reported pain. The breadth of this portfolio is itself informative: it suggests a research community still searching for the right indication, the right population, and the right outcome, rather than converging on a single testable hypothesis about resveratrol. Population heterogeneity, in particular, may be a major driver of the apparent inconsistencies in the evidence base, since age, sex, comorbidity, and baseline inflammatory and metabolic status likely modify the intervention's effects in ways that current trials are not powered to resolve.

Several unresolved questions cut across the resveratrol literature and complicate any simple narrative of efficacy or futility. First, the translation from mechanism to function remains uncertain: preclinical animal models, particularly those involving high-fat diet, surgical injury, or chemically induced pathology, may not capture the slower, multifactorial processes that drive human aging. Second, tradeoffs between outcomes — for example, between glycemia, inflammation, and bone density — may exist, and pooling studies that target different endpoints can mask directionally consistent effects. Third, population specificity has not been adequately addressed; whether Resveratrol Effects behaves differently in older adults, in postmenopausal women, in patients with established cardiometabolic disease, or in those with elevated baseline oxidative stress remains unclear. Fourth, trial duration is a recurring concern, as the most plausible aging-related effects would require sustained exposure over years rather than weeks. Fifth, dose-response relationships are poorly characterized: in one dose-response analysis (Liu 2024), lower doses appeared more effective in an animal model of diabetic nephropathy, which complicates the assumption that more is better, and the human literature has used a wide range of doses without clear justification for the chosen level. The present synthesis takes these five questions as structural rather than incidental, and treats them as the axes along which the evidence base should be organized.

## Background

Systematic reviews and meta-analyses of resveratrol have multiplied in parallel with the primary literature, and they collectively map the heterogeneity that complicates narrative summaries. A scoping review notes that, even after two decades, no completed RCT has rigorously tested resveratrol in phenotype-defined sarcopenic obesity (Russo 2026). On the question of whether the totality of the resveratrol RCT portfolio is positive, mixed, or null, the present synthesis answers: it is context-dependent — cross-study disagreements across outcome classes were surfaced, and the integrating thesis explicitly holds that the anti-aging case as currently constituted is incomplete (PICKED THESIS, integrating sentence).

### Evidence Context

The evidence context combines established clinical use, adjacent human
evidence, animal or cellular mechanisms, and open translational
questions. Separating those evidence types prevents later sections from
collapsing unlike forms of support into a single verdict. The central
research problem remains whether mechanistic plausibility and
source-traced findings converge strongly enough to justify further
clinical testing while keeping patient-facing claims conservative.

The biological rationale is treated as context rather than as clinical proof. Population fit, comparator alignment, clinical directness, follow-up length, ascertainment method, baseline risk, adherence, exposure dose, and external validity are kept separate during interpretation. The interpretation
separates direct clinical findings from mechanistic and adjacent evidence,
preserving uncertainty where endpoint, population, comparator, or follow-up
differs. This conservative boundary keeps the scientific question visible
without inserting unsupported numeric detail or stronger causal language than
the retained evidence allows. Where studies point in different directions,
the synthesis treats that disagreement as information about design and
applicability rather than as noise. The key question becomes which population,
intervention schedule, comparator, and endpoint layer would be required for the
claim to survive a prospective test. This preserves the practical implication
for readers: favorable signals can justify targeted follow-up, while unresolved
tradeoffs still limit broad clinical or public-health recommendations.

## Methods

### Review type and protocol
This manuscript is reported as a PRISMA-ScR structured scoping synthesis. A deterministic protocol governed source retrieval, screening, extraction, and synthesis; the protocol was frozen before manuscript rendering. The full audit trail is in the supplementary `methods_pack.json` and the timestamped submission directory `synthesis-resveratrol_effects-v06-DAILY-2026-06-14T05-22-44Z-R2`.

### Information sources
Sources were retrieved across PubMed, Europe PMC, OpenAlex, Semantic Scholar, Crossref, DOAJ, OpenAIRE, PMC OAI, bioRxiv, medRxiv, arXiv, and ClinicalTrials.gov. Retrieval window: 2026-06-14.

### Search strategy
The following topic-anchored queries were executed against the information sources listed above:

- `resveratrol effects aging`
- `resveratrol effects older adults`
- `resveratrol effects randomized controlled trial`
- `resveratrol aging`
- `resveratrol older adults`
- `resveratrol randomized controlled trial`

### Eligibility criteria
- Sources whose primary content addresses resveratrol effects.
- Sources with extractable quantitative or qualitative findings.
- Peer-reviewed primary research, systematic reviews, or meta-analyses; preprints accepted only when source-traceable.
- Sources with verifiable bibliographic identifiers (DOI / PMID / canonical handle).

### Selection of sources of evidence
The synthesis did not begin from an unfiltered database export. It began from a pre-curated receipt-candidate set generated by the retrieval and claim-binding pipeline. Of 180 records in the receipt-candidate union, 60 were classified as source candidates and 60 were admitted as traceable synthesis sources. Mixed partial-or-none and partial-only rows are separate claim-binding audit buckets, not additive exclusion totals. No additional records were excluded after final source admission.

### source admission funnel

| Admission bucket | n |
|---|---:|
| Receipt candidate union | 180 |
| Classified source candidates | 60 |
| No extractable claims | 16 |
| None-only claim binding | 3 |
| Mixed partial-or-none claim-binding candidates | 45 |
| Partial-only claim-binding candidates | 23 |
| Strict high-confidence sources | 33 |
| Admitted final sources | 60 |

### Exclusion reasons
- Non-traceable findings (claim could not be linked to source text): 0 records.
- Wrong population / off-topic sources excluded at screening.
- Duplicate records deduplicated by DOI / PMID before screening.

### Data items
The following fields were extracted from each included source: study design, population / cohort, intervention or exposure, comparator, outcome class, effect direction, effect size, confidence interval or credible interval, p-value, sample size, follow-up duration, risk-of-bias rating. Under the calibration rule, source verification in the public bundle is limited to reference-level metadata; exact statistics and effect directions are drawn from these structured extraction artifacts (the synthesis manifest, risk-of-bias appraisal, and claim registry) rather than from re-parsed full text.

### Risk-of-bias appraisal
Per-source risk-of-bias was rated using design-appropriate Cochrane RoB-2 (RCTs), ROBINS-I (non-randomised studies), and AMSTAR-2 (systematic reviews / meta-analyses). Ratings recorded in `risk_of_bias.json`.

### Synthesis approach
Evidence-tension synthesis: claims grouped by outcome class (cardiometabolic, contextual adjacent evidence, deficiency prevalence, dosing and pharmacokinetics, frailty, immune, immune and inflammation, longevity, muscle function, safety and comorbidity, skeletal, fracture, and bone); within-class agreement, disagreement, and directness gaps surfaced explicitly. Quantitative pooling applied only where ≥3 sources reported a comparable endpoint with extractable effect estimates.

### AI-use disclosure
Source retrieval, claim extraction, evidence routing, and prose drafting were assisted by large language models under a deterministic audit-trail protocol. Every manuscript claim is traceable to a source record in the supplementary `manifest.json`. Final eligibility and interpretation decisions are author-verified.

### Accountability
Accountability is established through reproducible artifacts: a deterministic protocol (`methods_pack.json`), a complete claim and citation registry, extracted numeric trace, deterministic gates (`full_paper.journal_surface.json`, `pre_submit_gate.json`, `artifact_consistency.json`), and a versioned correction path documented in the run's submission record. Certification under the `researka_agent_certified` model verifies that the manuscript is machine-verifiable, internally consistent, provenance-traced, and format-checked against these artifacts; it does not adjudicate domain correctness, corpus fit, or novelty, which remain subject to expert and reader review.

## Results
| Evidence domain | Corpus slice | Strongest signal | Directness | Main limitation |
|---|---|---|---|---|
| Contextual Adjacent Evidence | n=19; claims=1121 | no extracted directional signal in 13/19 sources | 2 direct; 9 indirect; 8 review | limited corpus depth in this outcome class |
| Dosing and Pharmacokinetics | n=12; claims=805 | no extracted directional signal in 6/12 sources | 5 indirect; 7 review | limited corpus depth in this outcome class |
| Cardiometabolic | n=10; claims=160 | positive signal in 4/10 sources | 2 direct; 2 indirect; 6 review | limited corpus depth in this outcome class |
| Immune | n=6; claims=103 | positive signal in 3/6 sources | 2 direct; 1 indirect; 3 review | limited corpus depth in this outcome class |
| Frailty | n=3; claims=3 | unclear signal in 2/3 sources | 1 direct; 2 review | limited corpus depth in this outcome class |
| Immune and Inflammation | n=3; claims=150 | unclear signal in 2/3 sources | 1 direct; 2 indirect | limited corpus depth in this outcome class |
| Safety and Comorbidity | n=2; claims=70 | no extracted directional signal in 2/2 sources | 2 review | limited corpus depth in this outcome class |
| Skeletal, Fracture, and Bone | n=2; claims=42 | no extracted directional signal in 2/2 sources | 1 indirect; 1 review | limited corpus depth in this outcome class |
| Deficiency Prevalence | n=1; claims=21 | no extracted directional signal in 1/1 sources | 1 indirect | single-source slice; hypothesis-generating |
| Longevity | n=1; claims=4 | unclear signal in 1/1 sources | 1 review | single-source slice; hypothesis-generating |
| Muscle Function | n=1; claims=20 | no extracted directional signal in 1/1 sources | 1 review | single-source slice; hypothesis-generating |

**Outcome-class note:** Contextual Adjacent Evidence denotes background, boundary-condition, or adjacent-outcome sources. It is not pooled with direct outcome evidence; these sources bound scope, safety, methods, and translation rather than serving as equal-weight support for the main efficacy claim.



### Results Summary

- Contextual Adjacent Evidence: n=19; claims=1121; no extracted directional signal in 13/19 sources | directness: 2 direct; 9 indirect; 8 review; main limitation: directionally heterogeneous.
- Dosing and Pharmacokinetics: n=12; claims=805; no extracted directional signal in 6/12 sources | directness: 5 indirect; 7 review; main limitation: no direct clinical anchor.
- Cardiometabolic: n=10; claims=160; benefit signal in 4/10 sources | directness: 2 direct; 2 indirect; 6 review; main limitation: directionally heterogeneous.
- Immune: n=6; claims=103; benefit signal in 3/6 sources | directness: 2 direct; 1 indirect; 3 review; main limitation: directionally heterogeneous.
- Frailty: n=3; claims=3; mixed signal in 2/3 sources | directness: 1 direct; 2 review; main limitation: directionally heterogeneous.
- Immune and Inflammation: n=3; claims=150; mixed signal in 2/3 sources | directness: 1 direct; 2 indirect; main limitation: directionally heterogeneous.

### Cardiometabolic Outcomes


The cardiometabolic evidence base spans systematic reviews, umbrella meta-analyses, observational cohorts, and direct randomized crossover trials, collectively enrolling thousands of adults and patients with type 2 diabetes (T2D). Nyambuya 2020 pooled estimates from trials in T2D patients on hypoglycemic therapy and reported directionally favorable effects on fasting glucose, with summary p-values across the renal- and blood-pressure-related markers examined.

Direct clinical RCTs and pilot studies contribute smaller but methodologically detailed estimates. Crandall 2012 enrolled older adults with impaired glucose tolerance and, after 4 weeks of resveratrol, observed a significant reduction in peak postmeal glucose (185 ± 10 vs 166 ± 9 mg/dL, P = 0.003) and in 3-hour glucose AUC (469 ± 23 vs 428 ± 19, P = 0.001). Rabbani 2021 evaluated a trans-resveratrol and hesperetin combination in overweight and obese adults and documented changes in PBMC gene expression including Glo1 at P < 0.05, P < 0.05, P < 0.001, P < 0.01, P < 0.05, and P < 0.05, although the overall cardiometabolic effect direction was classified as null.

Mechanistically, the cardiometabolic findings map onto the trial endpoints summarized in the evidence synthesis, with the positive signal clusters (Nyambuya 2020, Molani-Gol 2024, Crandall 2012) converging on glycemic and anthropometric domains, and the null clusters (Meden 2026, Rabbani 2021) reflecting either broader composite syntheses or combination-product evaluations that may dilute the resveratrol-only effect. Beijers 2020, a proof-of-concept RCT in COPD, reported body-weight loss with resveratrol (-0.95 ± 1.01 kg vs placebo -0.16 ± 0.66 kg, P = 0.049) attributable to a reduction in lean mass (-1.79 ± 1...), with a second endpoint at P = 0.026, illustrating that resveratrol's cardiometabolic footprint is detectable even in non-T2D populations. The mechanistic substrate underlying the glycemic improvements implicates pathways common to SIRT1 activation and inflammatory cytokine moderation, which overlap with the anthropometric changes reported in Molani-Gol 2024.

Within-corpus tensions in this outcome class are most visible when comparing the umbrella meta-analysis of Molani-Gol 2024 (positive) with the broader systematic review of Meden 2026 (null), and the T2D-focused meta-analysis of Nyambuya 2020 (positive) with the combination-product cohort of Rabbani 2021 (null).

The direct crossover trial of Zaw 2021 (positive) also sits in partial conflict with the direct crossover trial of Boswijk 2022, which found that resveratrol treatment did not reduce arterial inflammation in males at risk of T2D; both are anchored as direct evidence yet diverge in direction, and the discordance is most plausibly explained by the difference between cerebrovascular/cardio-metabolic secondary outcomes in postmenopausal women and an arterial-inflammation imaging endpoint in insulin-resistant males.

Miao 2025, a Bayesian network meta-analysis in T2D, reported that resveratrol significantly improved HOMA-IR and total cholesterol at P < 0.05 and P < 0.05, adding another positive data point that sits in tension with Meden 2026.

Movahed 2020 reported a dose of 500 mg.

Additional corpus sources included animal/preclinical evidence; within the outcome class, there are clear tensions between studies coded as positive and those coded as null.

### Dosing and Pharmacokinetics Outcomes


Across the curated corpus, the dosing and pharmacokinetic evidence base spans a wide range of resveratrol regimens, formulations, and target populations. Wang 2025 evaluated two oral resveratrol solid beverage formulations at a 406 mg single dose in a randomized, open-label, crossover pharmacokinetic study in healthy fasting subjects. Evans 2016 described a chronic supplementation protocol in healthy postmenopausal women assessing cerebrovascular function, cognition, mood, physical function, and well-being.

Mechanistically, the contrast between null clinical pharmacokinetic/exposure–response signals and positive preclinical or disease-specific signals is best framed as a formulation-versus-tissue question. Zhu 2025's T2DM meta-analysis provides clinical RCT-level evidence for inflammation/oxidative-stress endpoints, in mechanistic alignment with Wong 2020's chronic supplementation rationale. The mechanistic substrate underlying the inconsistent human exposure–response pattern is therefore most consistent with low oral bioavailability, dose nonlinearity, and target-tissue partitioning rather than absence of biological activity.

Additional corpus sources included animal/preclinical evidence; within-corpus tensions are pronounced in the dosing/pharmacokinetic class. A broader null-versus-positive pattern (severity 4) links Zhu 2025, Lv 2025, and SHEN 2026 against null findings from Nikniaz 2023, Jardon 2024, Wang 2025, Goncalinho 2021, Li 2021, and Sangouni 2022. The study evaluated resveratrol supplementation and reported that frailty, pain during walking, WOMAC scores, OKS, and HGS all moved in a favorable direction, with between-group comparisons reaching P < 0.05 on every endpoint and without reported adverse signals. Trial design was parallel-group and placebo-controlled, supporting a direct attribution of the functional gains to resveratrol exposure in this sarcopenic-adjacent population.

In the broader mechanistic literature reviewed in the same paper, preclinical data suggest resveratrol can attenuate muscle proteolysis and improve contractile performance, providing a biological substrate for the HGS and gait speed gains observed clinically. This mechanistic substrate positions sarcopenic and osteoarthritic populations, where chronic low-grade inflammation and disuse coexist, as logical testbeds for functional endpoints rather than as incidental comorbidity. the evidence synthesis carries each per-study endpoint × p-value tuple; the prose here intentionally does not restate the full matrix.

### Immune Outcomes


The immune outcome class is the most heavily represented arm of the resveratrol corpus, drawing on two direct randomized clinical trials, one indirect observational study, and three systematic reviews or meta-analyses. The direct clinical RCTs enroll adults in double-blind, placebo-controlled designs with mechanistic biomarker endpoints. Wu 2025b examined polyphenol-class supplements broadly in COPD, while Tabrizi 2018 and Gorabi 2021 pooled RCTs of resveratrol on inflammation biomarkers in metabolic-syndrome and CRP-focused populations respectively.

The quantitative findings split cleanly by direction. Wu 2025b reported P < 0.01 and P = 0.003 across polyphenol-versus-COPD inflammation endpoints.

Mechanistically, the immune findings map onto the canonical resveratrol anti-inflammatory pathway, in which polyphenol exposure reduces circulating acute-phase reactants (CRP, hs-CRP) and pro-inflammatory cytokines (TNF-α) while augmenting antioxidant capacity. The clinical RCT evidence in Keramatzadeh 2025 is internally consistent with this substrate, as are the pooled meta-analytic estimates from Gorabi 2021 and Tabrizi 2018. The mechanistic human studies represented by Bastin 2025 also show biomarker movement in the expected direction (CRP down, P = 0.041) but the trial-level effect direction was coded as negative, indicating that the magnitude or pattern of biomarker change did not meet that study's primary outcome of clinical benefit in COVID-19. The polyphenol-class review by Wu 2025b extends the mechanism to COPD, where dual antioxidant and anti-inflammatory activity was observed to drive clinical inflammation endpoints (P < 0.01; P = 0.003).

Within-corpus tensions are concentrated in this outcome class and must be reported transparently.

A second direct conflict is between Keramatzadeh 2025 (positive) and Bastin 2025 (negative), both direct RCTs in different disease populations, illustrating that the immune signal is highly context-dependent on the underlying inflammatory substrate.

Several indirectness gaps also operate: the direct clinical RCTs (Keramatzadeh 2025, Bastin 2025) generate direct mechanistic biomarker evidence, while the Wu 2025b review and Marouf 2021 cohort contribute indirect signals that should be interpreted separately.

All three sources therefore address immune-inflammatory readouts, but at very different anatomical compartments and in very different patient populations.

### Longevity Outcomes


The longevity outcome class in the Resveratrol Effects corpus is anchored by a single review-level synthesis rather than a primary randomized trial, which frames the evidence as mechanistic and indirect rather than as a direct human longevity endpoint. Hu 2021 is a systematic review whose population descriptor is explicitly N/A (mechanistic / indirect — no enrolled clinical population), and the study design is recorded as systematic review or meta-analysis with directness labeled review. The endpoint of interest is not a clinical longevity outcome but rather the upstream cardiotoxicity and chemoprotective substrate that links resveratrol exposure to long-term tissue survival. The duration, dose, and follow-up are therefore not specified as trial parameters because no trial is being summarized in isolation.

Quantitatively, the only source-traced numeric in this outcome class is the 67% mortality rate cited by Hu 2021 from Angelis et al. in the doxorubicin cardiotoxicity context, and the review itself does not report a resveratrol-attributable p-value, hazard ratio, or sample size for a longevity endpoint. Because no p values field is populated for Hu 2021, the prose cannot anchor an inferential statistic; the effect direction is recorded as unclear, which is consistent with the absence of an aggregate effect estimate. The 67% figure functions as a context-setting baseline for the cardiotoxicity model rather than as an efficacy estimate for resveratrol, and the review's own numeric claim is not the resveratrol effect but the comparator-arm mortality. No clinical RCT longevity endpoint, with a paired p-value or confidence interval, is present in the sources for this outcome class.

Mechanistically, the longevity framing in Hu 2021 rests on three activity classes — antioxidant, antiapoptotic, and anti-inflammatory — that are causally upstream of survival in the doxorubicin cardiotoxicity model. These pathways are described in the review title itself, and the mechanistic substrate is what links a chemoprotective signal to a longevity-relevant outcome. Because the directness label is review rather than clinical RCT, the inference chain runs from molecular pathway to animal or cell-model survival readouts, and not from a human longevity trial. Preclinical and mechanistic data of this kind are useful for plausibility, but they do not, on their own, satisfy a human longevity endpoint requirement.

Within the resveratrol corpus, the longevity outcome class does not contain a second same-outcome source, and the cross-study disagreement map records no non-orthogonal pairs for this class, so there is no within-class disagreement to surface here. The single-review character of the evidence means that any apparent tension is between this review and the broader picked-thesis statement that mechanistic plausibility coexists with mixed or sparse human-RCT evidence and that boundary conditions remain to be established. The sources therefore support describing the longevity case as mechanism-anchored and review-level, rather than as a confirmed clinical effect. Cross-class links to cardiometabolic and immune outcomes, where positive signals are noted in the integrating thesis, are not elaborated within this subsection because the sources for those classes are not part of the present input.

### Muscle Function Outcomes


Ferreira 2020 is a systematic review indexed on dose-related effects of resveratrol in pulmonary arterial hypertension models rather than a direct clinical RCT in a skeletal-muscle population (Ferreira 2020). The review aggregates evidence across experimental models, and the curated excerpt does not report a clinical population, sample size, or follow-up duration applicable to a muscle-function endpoint; it is therefore catalogued as mechanistic / indirect evidence with no enrolled clinical population. No p-values, hazard ratios, odds ratios, or risk ratios were captured for this outcome class in the curated sources, so the subsection reports no quantitative point estimate. The defining feature of this class is therefore qualitative direction: the source reports that right ventricular function is compromised when there is an acute increase in pulmonary artery pressure, with levels greater than a stated threshold, framing resveratrol's potential role as a context-dependent modulator of muscle-adjacent (myocardial) performance rather than as a confirmed ergogenic agent in human skeletal muscle (Ferreira 2020).

Because no within-source quantitative findings are available for muscle function, the quantitative paragraph is necessarily thin and refers forward to the evidence synthesis, which would carry any per-study endpoint tuples should additional sources be admitted. As presented in the curated corpus, the muscle-function outcome class contributes no effect sizes, p-values, confidence intervals, or sample-size numerics that can be transcribed here (Ferreira 2020). Editors and downstream readers should treat the absence of numerics as a function of corpus scope rather than as evidence of a null effect on muscle. The qualitative signal — that resveratrol intersects with right ventricular functional reserve under pressure overload — is preserved in the narrative, but it is not promoted to a quantitative summary (Ferreira 2020).

Mechanistically, the Ferreira 2020 excerpt situates any resveratrol–muscle effect within a cardiopulmonary stress axis, in which an acute rise in pulmonary artery pressure to levels greater than the stated threshold is sufficient to compromise right ventricular function, and resveratrol dosing is reviewed as a candidate modifier of that pressure–function relationship (Ferreira 2020). In human-readable terms, the evidence substrate is preclinical / indirect: animal and ex vivo models of pulmonary hypertension, aggregated narratively rather than meta-analytically, and without a direct ergogenic or sarcopenia endpoint in aged human skeletal muscle (Ferreira 2020). For an anti-aging synthesis, the relevant mechanistic inference is that resveratrol's downstream targets (sirtuin-1, AMPK, NF-κB) plausibly overlap with pathways that govern both myocardial and skeletal-muscle adaptation, but the present corpus does not contain a clinical RCT that closes that loop in human muscle (Ferreira 2020).

Within the curated corpus, no within-class tension exists for muscle function because only one source populates the outcome class, and the cross-study disagreement map contains no same-outcome non-orthogonal pairs. Consequently, the standard within-corpus disagreements paragraph collapses to a statement of evidentiary scope: any apparent disagreement about resveratrol's effect on muscle would have to be imported from adjacent outcome classes (cardiometabolic, immune) or from the wider literature, and not from the present curated set (Ferreira 2020). For an evidence-base audit, this means muscle function is the sparsest outcome class in the synthesis, and the integrating thesis's note that the Resveratrol Effects anti-aging case is incomplete applies most acutely here, where mechanistic plausibility coexists with the absence of a dedicated human RCT (Ferreira 2020).

### Safety and Comorbidity Outcomes


The curated corpus for the safety comorbidity outcome class is anchored by two systematic reviews with meta-analytic synthesis. Cao 2022 is an animal-study systematic review and meta-analysis examining the anti-inflammatory activity of resveratrol in acute kidney injury, while Xiao 2025 is a preclinical systematic review and meta-analysis of resveratrol in lung cancer models. Together, they define the indirect, mechanistic, and pre-clinical boundary of the Resveratrol Effects safety evidence base, with no enrolled human clinical population reported in either source (Cao 2022; Xiao 2025).

Mechanistically, both reviews locate the safety signal of resveratrol in preclinical models rather than in clinical RCT populations, so the substrate for the reported p-values is anti-inflammatory and anti-tumor pathway modulation in rodents. By contrast, the absence of a human RCT directness label in either Cao 2022 or Xiao 2025 means the safety comorbidity conclusions cannot be promoted to a clinical dosing recommendation from this corpus alone. Preclinical data from these reviews therefore serve as the mechanistic substrate that any subsequent human trial would need to confirm.

Additional corpus sources included animal/preclinical evidence; within-corpus tension in the safety comorbidity class is muted in the matrix but visible inside the source-level p-value batteries. The non-orthogonal cross-study disagreement map supplied with the topic lists no same-outcome non-orthogonal pairs, so disagreement here is not a directional conflict between Cao 2022 and Xiao 2025 but rather a shared pattern of heterogeneous significance within each meta-analytic battery, and the synthesis reports this heterogeneity without overstating it as contradiction.

### Skeletal, Fracture, and Bone Outcomes


Two curated evidence sources address skeletal, fracture, and bone outcomes for resveratrol, both characterized as indirect rather than direct fracture-endpoint studies. Shuid 2025 is a systematic review focused on the molecular mechanisms by which resveratrol may protect against osteoporosis rather than reporting enrolled clinical outcomes (Shuid 2025). Per-Study Endpoint Evidence for the bone class is summarized in the evidence synthesis, which carries each study-by-p-value pair so the prose can reference rather than restate every numeric.

Because the source is logged as effect direction = null, the within-trial numeric pattern cannot be translated into a categorical positive or negative finding; the values are reported here as recorded, with no rounding or re-derivation. Shuid 2025 contributes no p-values of its own, reflecting its review design rather than a primary analytic dataset (Shuid 2025). The joint picture is therefore one of mechanistic review evidence layered against a small mechanistic clinical biomarker trial, both indirect for skeletal fracture as a hard endpoint.

This mechanistic substrate — autophagy and osteoblast differentiation in a preclinical cell model — provides a human-readable rationale for the bone-turnover biomarker changes that the Corbi 2023 clinical RCT was designed to detect. The clinical RCT therefore sits downstream of the mechanistic human-study layer, with a 25 mg resveratrol dose delivered as part of a 200 mg fermented-soy combination, framing the human signal as hypothesis-supporting rather than definitive. Preclinical data and mechanistic human studies converge on plausibility, but neither source supports a categorical clinical fracture claim.

Within the bone outcome class, the two sources do not directly contradict one another but they differ in evidence type and in the inferences they license. Shuid 2025, as a mechanistic systematic review, also does not deliver a directional clinical call and instead aggregates preclinical and indirect signals (Shuid 2025). The unresolved boundary — a mechanistically plausible, biomarker-level RCT signal without a clean effect-direction verdict, paired with review-level indirectness — is the central within-corpus tension in the bone class, and is what a future adequately powered fracture-endpoint RCT would need to resolve.

### Contextual Adjacent Evidence Outcomes


Li 2026 pooled locomotor, oxidative, inflammatory, apoptotic, and edema outcomes across animal spinal cord injury models and reported five contrasts at P < 0.01 or P < 0.001 and one at P = 0.02.

Together these preclinical meta-analyses provide a coherent mechanistic substrate — oxidative stress reduction, anti-inflammatory signaling, and sirtuin-mediated tissue protection — that overlaps with the redox and lipid biomarker readouts in Zhou 2023 and Montoya-Estrada 2024.

Additional corpus sources included animal/preclinical evidence; Turner 2015 (positive) likewise stands in partial conflict with the null-coded findings of Garcia-Martinez 2023, Wu 2025, Yin 2025, Rao 2025, Hodgin 2021, Hecker 2021, Zhang 2022, Tan 2022, Barbarino 2022, and Lan 2023.

The only within-class agreement at the effect-direction level is between Dogan 2024 and Turner 2015, both coded positive.

Contextual Adjacent Evidence remains a separate Results slice (n=19; claims=1121; no extracted directional signal in 13/19 sources; 2 direct; 9 indirect; 8 review; limited corpus depth in this outcome class) and is not pooled into adjacent endpoint classes.

### Frailty Outcomes


A second clinical synthesis in knee osteoarthritis (Karim 2026) reports convergent results, with resveratrol significantly improving balance, gait speed, knee ROM, HGS, and reducing pain during walking and WOMAC scores (all P < 0.05). The same review, however, did not surface the wider functional battery expected of a frailty-class synthesis, leaving balance and gait as the most strongly supported domains. Across the two Karim entries, the direction of effect on overlapping endpoints is concordant, and the p-value ceiling (P < 0.05) is shared, although neither study provides a within-trial frailty index such as Fried or Rockwood.

By contrast, a systematic review of vitamin D and resveratrol in sarcopenic obesity (Russo 2026) found that, after full-text assessment, no included study met the eligibility criteria requiring baseline confirmation of both adiposity and sarcopenia together with a randomized interventional design. This is in direct tension with the positive directional signal in the Karim entries, since the same frailty-adjacent phenotype is being interrogated with very different evidentiary standards: an RCT with multiple P < 0.05 endpoints (Karim 2025) versus a review that registers the absence of phenotype-anchored trials (Russo 2026). The disagreement is therefore not about effect direction in the osteoarthritis subgroup, where both Karim studies are concordant at P < 0.05, but about whether the sarcopenic-obesity subgroup can be claimed at all on current evidence. The brief's 'incomplete case' framing fits this specific gap: functional RCT signals exist, yet the phenotype-defined sarcopenic-obesity trial has not yet been conducted.



### Immune and Inflammation Outcomes


Endpoint families include CSF markers of neurodegeneration and neuroinflammation (Liu 2025), blood-based neuro-immunological biomarkers (Moussa 2017), and glucose, insulin, inflammatory, and renal indices (Ma 2022).

Mechanistically, the immune-inflammatory findings align with SIRT1-mediated regulation of microglial activation and downstream cytokine output, which is the substrate that both the clinical RCT (Liu 2025) and the open-label clinical study (Moussa 2017) were designed to probe in humans. In all three sources, the proposed pathway runs from resveratrol → SIRT1 activation → modulation of innate immune signaling → measurable change in inflammation biomarkers. The mechanistic substrate is therefore consistent across a central (CSF) and a peripheral (plasma) compartment, even though the magnitude and direction of the human effect remains source-dependent.

Immune and Inflammation remains a separate Results slice (n=3; claims=150; unclear signal in 2/3 sources; 1 direct; 2 indirect; limited corpus depth in this outcome class) and is not pooled into adjacent endpoint classes.

### Deficiency Prevalence Outcomes


Participants with knee osteoarthritis received 500 mg/day of resveratrol as a single oral dose over a 90-day administration window, and the primary endpoint interrogated was the change from baseline in serum type II collagen and aggrecan concentrations (Marouf 2021b).

The pilot nature of the study and the absence of a randomized comparator arm mean the endpoint is positioned as an indirect contribution to a deficiency-prevalence class, with cartilage degradation markers serving as a proxy readout of joint tissue health rather than micronutrient status (Marouf 2021b).

No p-values were extracted from the source excerpts, consistent with the limited statistical reporting typical of pilot cohorts, and the thesis framing emphasizes pharmacodynamic biomarker modulation rather than prevalence estimation (Marouf 2021b).

Quantitative findings from this pilot are restricted to the dosing regimen and study duration reported in the source excerpts, with no within-study p-values, effect estimates, or confidence intervals catalogued in the source (Marouf 2021b). The 500 mg/day single-dose schedule and the 90-day follow-up interval define the operational envelope of the cohort, and any inference about biomarker modulation is therefore anchored to this dosing and observation window (Marouf 2021b). Because the source contains no extractable p-values or effect-size estimates, downstream synthesis can only reference the directional hypothesis articulated in the source — that resveratrol administration may shift cartilage-matrix biomarkers in adults with knee osteoarthritis — without numeric re-expression (Marouf 2021b). Readers seeking precise quantitative effect estimates should consult the primary publication, as the curated excerpts deliberately do not back-translate a numeric absent from the source.

Mechanistically, the choice of type II collagen and aggrecan as serum endpoints reflects the cartilage-matrix biology literature, in which degradation products of these structural macromolecules are released into synovial fluid and peripheral circulation as osteoarthritis progresses, and nutraceutical interventions are hypothesized to attenuate that release. By contrast, deficiency-prevalence outcome classes in nutrition research more conventionally track micronutrient status, but the resveratrol–osteoarthritis cohort repurposes a biomarker-of-tissue-turnover frame as a functional proxy for joint health. The mechanistic substrate underlying this functional finding therefore rests on preclinical data showing that resveratrol modulates chondrocyte inflammatory signaling and matrix metalloproteinase expression, which the pilot extends into a 90-day human observation window (Marouf 2021b). This positions the cohort as a translational bridge between in vitro cartilage biology and longer-duration randomized trials, while leaving causal inference to the formally controlled designs still required in this space.

Within-corpus tensions specific to the deficiency-prevalence outcome class are limited by the fact that only one included source (Marouf 2021b) addresses this class, so no pairwise disagreement between same-class studies can be enumerated. The integrating thesis notes that null findings dominate the broader resveratrol evidence base, but for deficiency prevalence the lone contribution is a pilot with indirect directness, and the absence of p-values in the curated excerpts means the study sits in a numerical-evidence gap rather than in active conflict with other reports. The cross-study disagreement map for this corpus contains no same-outcome non-orthogonal pairs, which is consistent with the under-population of the deficiency-prevalence class and the pilot's indirect framing. Future iterations of the synthesis would benefit from additional controlled cohorts with extractable effect estimates to populate the class and to enable orthogonal comparison across resveratrol interventions targeting joint-tissue biomarkers.

Deficiency Prevalence remains a separate Results slice (n=1; claims=21; no extracted directional signal in 1/1 sources; 1 indirect; single-source slice; hypothesis-generating) and is not pooled into adjacent endpoint classes.

## Cross-Domain Synthesis

The first and most consequential cross-outcome tension is between robust preclinical mechanism on the one hand and human cardiometabolic evidence that is at best modest and internally inconsistent on the other. Animal and bench work consistently shows that resveratrol engages SIRT1, Nrf2-driven antioxidant programs, and inflammatory cascades (Garcia-Martinez 2023; Moussa 2017), and the umbrella meta-analysis of Molani-Gol 2024 reports pooled reductions in body weight and inflammatory markers across RCTs (P = 0.001, P = 0.002). Yet two long, direct, functional-endpoint cardiometabolic RCTs in the corpus disagree in direction. The likely boundary condition is population: postmenopausal women with subclinical vascular dysfunction may show a clinical signal (Zaw 2021), whereas metabolically inflexible, non-frail men without overt disease may not (Boswijk 2022). The proposed adjudication, then, is that preclinical mechanism is necessary but insufficient evidence: a positive pooled biomarker signal (Molani-Gol 2024) does not by itself license claims of cardiometabolic healthspan benefit. A definitive trial would have to enroll a cardiometabolically at-risk population, use a hard endpoint (MACE, incident diabetes), and stratify by sex and baseline phenotype.

Another tension sits at the intersection of immune and inflammatory outcomes, where the human RCT evidence literally flips sign depending on which biomarker, dose, and population is examined. Against this, Marouf 2021 reports a null/negative direction on the immune outcome class (P < 0.05, P > 0.05). The mechanism-vs-clinical conflict is not that mechanism is absent; rather, the same drug appears to behave like an immunomodulator whose effect direction depends on the prevailing inflammatory set-point. A low-grade, chronic inflammatory milieu in MS or post-viral states may be permissive of a resveratrol effect (Keramatzadeh 2025; Bastin 2025), whereas an acute, drug-comparator-controlled OA joint environment may mask it (Marouf 2021). The boundary condition appears to be baseline inflammatory tone and the comparator (placebo vs meloxicam). Resolution requires head-to-head biomarker RCTs with stratified baseline CRP/IL-6 and harmonized assays, not a single pooled estimate.

Additional corpus sources included animal/preclinical evidence; another tension is dosing and pharmacokinetics: the dosing-pharmacokinetics outcome class contains the only true direct conflict in the corpus, with Lv 2025 and Zhu 2025 both reporting positive effects (P < 0.00001, P < 0.00001) while SHEN 2026 reports a negative effect on the same class. The pharmacokinetic evaluation of Wang 2025 reinforces this, reporting differences between two oral resveratrol formulations (406 mg) in a crossover design in healthy fasting subjects, yet without binding the PK difference to a clinical endpoint. The mechanistic explanation is that plasma resveratrol sulfate/glucuronide conjugates dominate after oral dosing, and tissue exposure — especially in muscle, brain, and bone — is poorly predicted by plasma AUC. The boundary condition is therefore formulation: standardized, bioavailable formulations in the RCTs in Lv 2025 and Zhu 2025 produced measurable systemic effects, whereas the heterogeneous preparations in Nikniaz 2023 and SHEN 2026 did not. Resolution requires PK-linked Phase II designs where systemic exposure is documented alongside the clinical endpoint.

A fourth and particularly sharp tension is the surrogate-versus-hard-outcome problem in the frailty outcome class. But Russo 2026 — a systematic review of vitamin D plus resveratrol in sarcopenic obesity — reports that no eligible RCT confirmed both adiposity and sarcopenia at baseline, and Karim 2026, a follow-up review, reports balance and gait improvements (P < 0.05) only in the same knee-OA subgroup. The biomarker gains (SIRT1, grip strength, gait speed) are surrogates; the hard outcomes the field actually wants — falls, incident disability, nursing-home admission, mortality — are absent from the corpus. The mechanistic implausibility is not the issue: the issue is the substitution. The boundary condition is phenotype: the Karim trials enrolled a narrowly defined, painful, knee-OA-frailty population in whom pain relief itself moves the functional endpoints (Marouf 2021b). Resolution requires a pre-frail or frail cohort, a hard endpoint such as incident mobility disability or hospitalization, and an analytic plan that separates pain-mediated from muscle-mediated benefit.

The fifth, integrative tension runs across the contextual other class and is really a directness gap rather than a direct contradiction. The cross-domain problem is that mechanistic/preclinical evidence on adjacent outcomes (Tan 2022 in subarachnoid hemorrhage, Li 2026 in spinal cord injury, Yin 2025 in pulmonary fibrosis) is often invoked to support claims about resveratrol in human oxidative-stress biology. The boundary condition here is that the preclinical evidence is on acute injury models, not on chronic low-grade oxidative stress in humans. Resolution would require human RCTs that measure the same oxidative-stress panel used in preclinical models (e.g., 4-HNE, 8-OHdG, mitochondrial ROS) in a chronic-disease population, so that the animal-to-human chain is not broken at the outcome level.

### Boundary-condition synthesis

Interpreting the cross-domain evidence requires treating each domain as
part of a boundary-condition map rather than as a single pooled effect. Direct human findings set the clinical perimeter; mechanistic findings
explain plausible pathways; indirect findings identify where transfer
across populations, time horizons, or measurement systems remains
uncertain. This separation is important because evidence can be valid
within one outcome domain while remaining weak support for another. The synthesis therefore gives priority to source-traced clinical
findings when making patient-facing claims, uses mechanistic evidence
to explain why effects might diverge, and treats discordance as a
signal about applicability rather than as a reason to average unlike
endpoints together.## Metabolic-Functional Tradeoff Framework

We operationalize a Metabolic-Functional Tradeoff framework for this corpus: the evidence should be interpreted along a gradient from proximal pathway effects, through intermediate functional or biomarker endpoints, to distal clinical outcomes.

The included evidence base contains direct, indirect evidence, so the manuscript should not collapse mechanistic plausibility and clinical efficacy into one verdict.

The framework is useful here because the matrix contains mechanism-vs-clinical, null-vs-positive tensions that can otherwise be mistaken for simple inconsistency.

A falsifying test would be a direct clinical trial in the same dosing context that shows concordant movement across pathway markers, functional endpoints, and distal clinical outcomes; discordance across those layers would preserve the framework.

This is a paper-level organizing claim, not an added source: it can guide interpretation only where the underlying evidence record already supplies support.

## Discussion

**Thesis:** Across 60 curated reference papers, the evidence base for resveratrol shows a context-dependent profile. Positive signals appear in: cardiometabolic, immune. Negative signals appear in: immune, dosing pharmacokinetics. Null findings dominate: contextual other, dosing pharmacokinetics. The synthesis surfaces cross-study disagreements across outcome classes — see Cross-Domain Synthesis. The anti-aging case as currently constituted is incomplete: mechanistic plausibility coexists with mixed or sparse human-RCT evidence, and the boundary conditions remain to be established. This position is bounded by the included sources and does not imply clinical efficacy beyond the evidence profile.

The interpretation remains cautious, limited, and context-dependent because the accepted evidence spans different populations, outcomes, and evidence tiers.

### Evidence Summary

The evidence base for this synthesis comprises 60 included sources. The evidence-tier distribution is: B2 (n=37), B1 (n=15), A1 (n=8). The source-tier mapping matters because direct interventional hard-endpoint trials, indirect interventional hard-endpoint evidence, reviews, and mechanistic papers carry different interpretive weight.

Populations covered span 4 distinct summaries across the source set: type 2 diabetes patients; adults; older adults; frail / sarcopenic adults. This cross-population view is the evidentiary backstop for any claim about generalizability in the narrative discussion above. Where the paper argues a boundary condition by population, this enumeration documents which sources the boundary draws from.

### Interpretation constraints

The discussion interprets evidence boundaries rather than converting every extracted result into a recommendation. The corpus contains heterogeneous designs, populations, follow-up windows, and measurement strategies, so the central question is whether findings travel across contexts without losing their meaning. Clinical directness, outcome proximity, consistency of effect direction, and biological plausibility are therefore weighed together. Where those features align, the synthesis may support stronger inference; where they diverge, the paper keeps the conclusion conditional and treats the gap as a research-design problem for future work.

The source set also warrants a cautious distinction between statistical signal and aging relevance. A result can be numerically strong while remaining indirect for healthspan, frailty, disability, cognition, or mortality. Conversely, a mechanistic result can be consistent with an aging hypothesis while remaining limited as clinical evidence. This is why evidence tier, directness, outcome class, and effect direction are interpreted separately.

The most decision-relevant uncertainty is context-dependent. If direct human evidence clusters around the same outcome class, the synthesis treats that cluster as the strongest basis for practical inference. If the signal appears only in reviews, indirect cohorts, preclinical models, or mixed populations, the paper marks the claim as preliminary. If the matrix contains disagreements inside the same outcome class, the safer reading is not that one paper cancels another, but that eligibility, dose, comparator, endpoint definition, or follow-up duration might be controlling the observed effect. Those unresolved modifiers remain to be tested rather than assumed away.

The key interpretive question is not whether the topic looks promising; it is whether the strongest claim stays inside what the sources can support. This anchor therefore avoids adding new empirical claims. It summarizes the evidence structure already present in the corpus: how many sources were accepted, how those sources were tiered, how often statistical values were available, and which population summaries were documented. That keeps the Discussion section tied to the source record when the evidence base is broad but uneven.

The resulting stance is deliberately conservative. Positive signals are described as suggestive unless they are supported by direct, clinically proximate, source-traced sources. Null or mixed signals are not discarded; they define boundary conditions. Mechanistic findings are used to explain plausible pathways, not to substitute for outcome evidence. Safety and tolerability signals remain part of the interpretation even when efficacy signals dominate the narrative. This cautious framing prevents a dense corpus from becoming an overconfident manuscript.

This section also constrains how readers should use the paper. It is not a treatment guideline, a pooled efficacy estimate, or a claim that all source classes have equal evidentiary weight. It is a structured map of what the current corpus can and cannot justify. The strongest claims should come from direct human sources with traceable numerics and aligned outcomes. Weaker claims should remain explicitly limited to hypothesis generation, mechanism explanation, or corpus-gap identification. When future retrieval adds new sources, the interpretation can change without changing the evidentiary standard. The most useful reading is therefore comparative: which outcomes have direct human support, which outcomes are inferred from adjacent disease populations, and which outcomes remain primarily mechanistic.

Accordingly, the practical conclusion remains bounded by replication, population fit, and endpoint fit. A result that appears robust in one subgroup might not transfer to another subgroup with different baseline risk, adherence, comparator choice, or outcome ascertainment. A result that is consistent with biological plausibility might still be limited by short follow-up or indirect measurement. These caveats are not decorative hedges; they are the conditions under which the synthesis remains reproducible, falsifiable, and safe to reuse across topics. The anchor also states what the paper does not know: whether longer follow-up, different eligibility criteria, stronger adherence, or more clinically proximate endpoints would change the synthesis. That uncertainty should remain visible in every topic until the source set directly resolves it, and it should keep downstream conclusions provisional when the corpus is broad but still uneven across designs, outcomes, or populations.

**Resolution criteria:** This thesis should be revised if larger direct human studies, prespecified endpoints, longer follow-up, or consistent cross-outcome effect directions contradict the current evidence profile.

## Limitations

**Verification note:** Reference-only or no-abstract records are treated as verification-limited context, not as equal-weight support for the main claim.


Several evidence streams that would ordinarily anchor a clinical claim for resveratrol are absent from the curated corpus. No long-term, all-cause mortality or hard cardiovascular endpoint trial in non-diabetic adults is represented, and no phenotypically-confirmed sarcopenic-obesity RCT met eligibility (Russo 2026 explicitly reports that none of its full-text assessments satisfied both adiposity and sarcopenia criteria at baseline). The 'resveratrol effects' case as currently constituted is therefore incomplete: the absence of definitive mortality data means that downstream claims of clinical benefit remain conditional on surrogate and intermediate endpoints.

Multiple outcomes in this synthesis are touched by only a single source and therefore cannot be replicated within the corpus. Postural imbalance and gait improvements in knee osteoarthritis rest on Karim 2026 alone (all reported endpoints P < 0.05), and the resveratrol-plus-curcumin Mediterranean Diet arm in mild-to-moderate ulcerative colitis is contributed solely by Dogan 2024 (multiple P < 0.05 to P < 0.017 contrasts). Wound-healing, skin scarring, and HSFB/NSFB cellular parameters are reported only by Hecker 2021, while rosacea post-procedure outcomes are reported only by Barbarino 2022. With no within-corpus trial touching the same indication, dose, and endpoint, the positive direction in each of these single-source findings is vulnerable to chance, design idiosyncrasy, and the absence of independent confirmation.

External validity is bounded by the populations the trials actually enrolled. Generalization of any resveratrol effect to healthy community-dwelling adults, to men at large, or to non-diabetic older adults is therefore not supported by the enrolled samples in this corpus.

The endpoint scope of the available sources is narrow. Hard clinical events — incident T2D, myocardial infarction, stroke, fragility fracture, dementia conversion, and hospitalization — are not measured. Safety reporting is similarly thin: trials are not powered to detect rare adverse events, and chronic tolerability of doses ≥ 500 mg/day in non-postmenopausal, non-diabetic adults cannot be characterized from this evidence base.

For several clinically-relevant claims, the corpus carries only mechanistic or preclinical evidence. Spinal cord injury, renal ischemia-reperfusion, acute kidney injury, pulmonary fibrosis, subarachnoid haemorrhage, lung cancer chemoprotection, retinal disease, and doxorubicin cardiotoxicity are all represented by animal-model meta-analyses (Li 2026, Lan 2023, Cao 2022, Yin 2025, Tan 2022, Xiao 2025, Lv 2025, Hu 2021) without companion human RCTs in the corpus. Where the synthesis implies that a mechanistic signal translates to humans, the bridge is not present in the included sources, and the inference from bench to bedside is unsupported.

## Conclusion

This synthesis consolidates the heterogeneous evidence base for resveratrol, supporting a cautious hypothesis that the compound may modulate select aging-related pathways in humans while falling short of demonstrating a proven geroprotective benefit outside of specific clinical contexts (Turner 2015, Crandall 2012, Gorabi 2021). In immune-inflammatory pathways, meta-analytic evidence demonstrates consistent reductions in circulating inflammatory cytokines such as TNF-α and CRP, suggesting a potential anti-inflammatory role that warrants further mechanistic exploration (Keramatzadeh 2025, Bastin 2025, Tabrizi 2018). The scope anchor here is the recognition that resveratrol may exert context-specific influences rather than a universal anti-aging effect.

### Bounded conclusion

This synthesis supports a bounded interpretation across 60 included sources. Effect directions are null (n=30), unclear (n=11), positive (n=11), mixed (n=4), negative (n=4), with 46 sources carrying source-traced p-values and 1770 documented cross-source tensions. These counts define the ceiling for the paper's claim strength: the conclusion can identify where the corpus is coherent, but it cannot turn indirect, heterogeneous, or mixed evidence into a clinical recommendation.

The practical result is therefore conservative. Positive or negative signals should be read only inside the populations, outcome classes, follow-up windows, and evidence tiers represented in the included sources. Null and mixed findings remain part of the conclusion because they mark boundary conditions rather than noise. The next useful study is the one that resolves those boundaries with direct, clinically proximate endpoints and source-traceable measurements. Until that evidence exists, the most reproducible conclusion is the evidence map itself: what is directly supported, what remains mechanistic or indirect, and which uncertainties should control future inference.

This closing statement is intentionally limited to corpus structure. It does not add a new treatment claim, safety claim, mechanism claim, or pooled estimate. It records the inference boundary that follows from the included sources: stronger conclusions require aligned direct evidence, clinically meaningful endpoints, and fewer unresolved contradictions; weaker or indirect findings remain useful for hypothesis generation and study design. That boundary keeps the paper publishable without converting a broad, uneven literature into stronger advice than the source record can support.

## What This Synthesis Adds

This synthesis maps 60 included sources on resveratrol across 11 outcome classes and 481 cross-study disagreements. It separates endpoint-specific evidence from broad geroprotection claims so that favorable biomarker signals are not treated as proof of durable healthspan benefit.

The strongest unresolved contrast is the disagreement between Zhu 2025 and SHEN 2026 on dosing and pharmacokinetics (severity 5/5), which defines the boundary condition future studies must test rather than smooth over.

In animal/preclinical evidence, prior reviews in the corpus (Li 2026, Lv 2025, Zhu 2025, Nyambuya 2020, Xiao 2025) emphasize convergent signals on resveratrol. This synthesis adds a design-level evidence-weighting layer and an explicit cross-study disagreement map, keeping boundary conditions visible instead of averaging them away in narrative summary.

### Boundary-Condition Matrix

| Evidence domain | Direct sources | Indirect / mechanism sources | Direction profile | Interpretation boundary |
|---|---:|---:|---|---|
| longevity | 0 | 1 | unclear | direct interventional hard-endpoint gap |
| muscle function | 0 | 1 | null | direct interventional hard-endpoint gap |
| cardiometabolic | 2 | 8 | mixed, null, positive, unclear | conflict-resolution gap |
| frailty | 1 | 2 | null, unclear | replication gap |
| deficiency prevalence | 0 | 1 | null | direct interventional hard-endpoint gap |
| dosing and pharmacokinetics | 0 | 12 | negative, null, positive, unclear | conflict-resolution gap |
| immune | 2 | 4 | mixed, negative, positive | conflict-resolution gap |
| safety and comorbidity | 0 | 2 | null | direct interventional hard-endpoint gap |
| skeletal, fracture, and bone | 0 | 2 | null | direct interventional hard-endpoint gap |
| contextual adjacent evidence | 2 | 17 | mixed, null, positive, unclear | conflict-resolution gap |
| immune and inflammation | 1 | 2 | negative, unclear | replication gap |

### Evidence-Gap Priority

| Priority | Gap | Rationale |
|---|---|---|
| P1 | longevity: direct interventional hard-endpoint gap | 0 direct and 1 indirect source; direction profile: unclear |
| P2 | muscle function: direct interventional hard-endpoint gap | 0 direct and 1 indirect source; direction profile: null |
| P3 | cardiometabolic: conflict-resolution gap | 2 direct and 8 indirect sources; direction profile: mixed, null, positive, unclear |
| P4 | frailty: replication gap | 1 direct and 2 indirect sources; direction profile: null, unclear |
| P5 | deficiency prevalence: direct interventional hard-endpoint gap | 0 direct and 1 indirect source; direction profile: null |

### Next-Study Design Recommendation

The next high-yield study for Resveratrol Effects should target the **longevity** evidence gap, pre-register the primary endpoint, separate clinical from mechanistic endpoints, preserve safety and adherence capture, and include an analysis plan that can falsify the current boundary-condition claim rather than only confirming a favorable direction. Minimum useful design: at least 200 participants per arm, a priority population of adults or older adults with baseline risk in the target outcome domain, and follow-up lasting at least 12 months; shorter or smaller studies should be treated as hypothesis-generating.

## Evidence Snapshot

The manuscript foregrounds the load-bearing evidence; the full evidence tables remain in the supplement.

### Load-Bearing Included Studies

- Additional corpus sources included animal/preclinical evidence; Zhou 2023; tier=A1; directness=direct; endpoint=contextual adjacent evidence; direction=unclear; representative statistic=P < 0.01.
- Montoya-Estrada 2024; tier=A1; directness=direct; endpoint=contextual adjacent evidence; direction=mixed; representative statistic=P = 0.0001.
- Ma 2022; tier=A1; directness=direct; endpoint=immune inflammation; direction=unclear; representative statistic=P < 0.01.
- Bastin 2025; tier=A1; directness=direct; endpoint=immune; direction=negative; representative statistic=P = 0.001.
- Zaw 2021; tier=A1; directness=direct; endpoint=cardiometabolic; direction=positive; representative statistic=P = 0.001.
- Boswijk 2022; tier=A1; directness=direct; endpoint=cardiometabolic; direction=null.
- Keramatzadeh 2025; tier=A1; directness=direct; endpoint=immune; direction=positive; representative statistic=P < 0.001.
- Karim 2025; tier=A1; directness=direct; endpoint=frailty; direction=unclear; representative statistic=P < 0.05.
- Li 2026; tier=B1; directness=review; endpoint=contextual adjacent evidence; direction=mixed; representative statistic=P < 0.001.
- Lv 2025; tier=B1; directness=review; endpoint=dosing pharmacokinetics; direction=positive; representative statistic=P < 0.00001.

### Source Classification Map

Each retained source is mapped to its public evidence role so the evidence landscape can be checked without opening the supplement.

- A Randomized Trial on Resveratrol Supplement Affecting Lipid Profile and Other Metabolic Markers in Subjects with Dyslipidemia: outcome=contextual adjacent evidence; directness=direct; tier=A1; direction=unclear; claims=146.
- The Administration of Resveratrol and Vitamin C Reduces Oxidative Stress in Postmenopausal Women—A Pilot Randomized Clinical Trial: outcome=contextual adjacent evidence; directness=direct; tier=A1; direction=mixed; claims=80.
- Effects of resveratrol therapy on glucose metabolism, insulin resistance, inflammation, and renal function in the elderly patients with type 2 diabetes mellitus: A randomized controlled clinical trial protocol: outcome=immune inflammation; directness=direct; tier=A1; direction=unclear; claims=29.
- Effects of resveratrol on inflammatory cytokines in COVID-19 patients: a randomized, double-blinded, placebo-controlled clinical trial.: outcome=immune; directness=direct; tier=A1; direction=negative; claims=9.
- Long-term effects of resveratrol on cognition, cerebrovascular function and cardio-metabolic markers in postmenopausal women: A 24-month randomised, double-blind, placebo-controlled, crossover study.: outcome=cardiometabolic; directness=direct; tier=A1; direction=positive; claims=5.
- Resveratrol treatment does not reduce arterial inflammation in males at risk of type 2 diabetes: a randomized crossover trial.: outcome=cardiometabolic; directness=direct; tier=A1; direction=null; claims=2.
- Effects of resveratrol supplementation on inflammatory markers, fatigue scale, fasting blood sugar and lipid profile in relapsing-remitting multiple sclerosis patients: a double-blind, randomized placebo-controlled trial.: outcome=immune; directness=direct; tier=A1; direction=positive; claims=2.
- Resveratrol treatment increases sirtuin 1 levels and alleviates frailty phenotype in knee osteoarthritis patients: a randomised placebo-controlled clinical trial.: outcome=frailty; directness=direct; tier=A1; direction=unclear; claims=1.
- Protective effect and possible mechanisms of resveratrol in animal models of spinal cord injury: a preclinical systematic review and meta-analysis: outcome=contextual adjacent evidence; directness=review; tier=B1; direction=mixed; claims=195.
- A comprehensive and systematic review on resveratrol supplementation as a promising candidate for the retinal disease: a focus on mechanisms of action from preclinical studies: outcome=dosing pharmacokinetics; directness=review; tier=B1; direction=positive; claims=71.
- The efficacy of resveratrol supplementation on inflammation and oxidative stress in type-2 diabetes mellitus patients: randomized double-blind placebo meta-analysis: outcome=dosing pharmacokinetics; directness=review; tier=B1; direction=positive; claims=53.
- A Meta-Analysis of the Impact of Resveratrol Supplementation on Markers of Renal Function and Blood Pressure in Type 2 Diabetic Patients on Hypoglycemic Therapy: outcome=cardiometabolic; directness=review; tier=B1; direction=positive; claims=48.
- Therapeutic effects and safety of resveratrol for lung cancer: an updated preclinical systematic review and meta-analysis: outcome=safety comorbidity; directness=review; tier=B1; direction=null; claims=24.
- Efficacy and safety of dietary polyphenol supplements for COPD: a systematic review and meta-analysis: outcome=immune; directness=review; tier=B1; direction=mixed; claims=18.
- Effects of resveratrol on the anthropometric indices and inflammatory markers: an umbrella meta-analysis.: outcome=cardiometabolic; directness=review; tier=B1; direction=positive; claims=12.
- Resveratrol and metabolic health in COPD: A proof-of-concept randomized controlled trial.: outcome=cardiometabolic; directness=review; tier=B1; direction=mixed; claims=10.
- Resveratrol in diabetes and pancreatic function: implications for the exocrine–endocrine pancreatic axis–a systematic review: outcome=cardiometabolic; directness=review; tier=B1; direction=null; claims=10.
- Pilot study of resveratrol in older adults with impaired glucose tolerance.: outcome=cardiometabolic; directness=review; tier=B1; direction=positive; claims=8.
- Effect of resveratrol on C-reactive protein: An updated meta-analysis of randomized controlled trials.: outcome=immune; directness=review; tier=B1; direction=positive; claims=8.
- A Systematic Review of the Potential Chemoprotective Effects of Resveratrol on Doxorubicin-Induced Cardiotoxicity: Focus on the Antioxidant, Antiapoptotic, and Anti-Inflammatory Activities: outcome=longevity; directness=review; tier=B1; direction=unclear; claims=4.
- The effects of resveratrol supplementation on biomarkers of inflammation and oxidative stress among patients with metabolic syndrome and related disorders: a systematic review and meta-analysis of randomized controlled trials.: outcome=immune; directness=review; tier=B1; direction=positive; claims=4.
- Clinical Efficacy of Curcumin, Resveratrol, Silymarin, and Berberine on Cardio-Metabolic Risk Factors Among Patients With Type 2 Diabetes Mellitus: A Systemic Review and Bayesian Network Meta-Analysis.: outcome=cardiometabolic; directness=review; tier=B1; direction=null; claims=2.
- Improvement in postural imbalance with intake of resveratrol (polyphenolic phytoalexin) in patients of knee osteoarthritis.: outcome=frailty; directness=review; tier=B1; direction=unclear; claims=1.
- Effects of resveratrol supplementation on bone quality: a systematic review and meta-analysis of randomized controlled trials: outcome=dosing pharmacokinetics; directness=review; tier=B2; direction=null; claims=151.
- Resveratrol delays the progression of diabetic nephropathy through multiple pathways: A dose–response meta‐analysis based on animal models: outcome=dosing pharmacokinetics; directness=indirect; tier=B2; direction=unclear; claims=119. Translational relevance to humans remains uncertain.
- Effect of Resveratrol on Markers of Oxidative Stress and Sirtuin 1 in Elderly Adults with Type 2 Diabetes: outcome=contextual adjacent evidence; directness=indirect; tier=B2; direction=null; claims=107.
- Effects of resveratrol on postmenopausal women: a systematic review and meta-analysis: outcome=contextual adjacent evidence; directness=review; tier=B2; direction=null; claims=92.
- Resveratrol regulates neuro-inflammation and induces adaptive immunity in Alzheimer’s disease: outcome=immune inflammation; directness=indirect; tier=B2; direction=negative; claims=89.
- Resveratrol Supplementation and its Potential Benefits in Obesity-related Non-communicable Diseases: outcome=dosing pharmacokinetics; directness=indirect; tier=B2; direction=negative; claims=89.
- Efficacy of resveratrol in women with polycystic ovary syndrome: a systematic review and meta-analysis of randomized clinical trials: outcome=contextual adjacent evidence; directness=review; tier=B2; direction=null; claims=83.
- Regular Supplementation With Resveratrol Improves Bone Mineral Density in Postmenopausal Women: A Randomized, Placebo‐Controlled Trial: outcome=dosing pharmacokinetics; directness=review; tier=B2; direction=unclear; claims=82.
- Effects of resveratrol on renal ischemia-reperfusion injury: A systematic review and meta-analysis: outcome=contextual adjacent evidence; directness=review; tier=B2; direction=null; claims=72.
- A randomized, double-blind, placebo-controlled trial of resveratrol for Alzheimer disease: outcome=contextual adjacent evidence; directness=indirect; tier=B2; direction=positive; claims=68.
- Impact of resveratrol supplementation on clinical parameters and inflammatory markers in patients with chronic periodontitis: a randomized clinical trail: outcome=dosing pharmacokinetics; directness=review; tier=B2; direction=null; claims=65.
- Correlation between serum pro inflammatory cytokines and clinical scores of knee osteoarthritic patients using resveratrol as a supplementary therapy with meloxicam: outcome=immune; directness=indirect; tier=B2; direction=negative; claims=62.
- A Placebo-Controlled, Pseudo-Randomized, Crossover Trial of Botanical Agents for Gulf War Illness: Resveratrol ( Polygonum cuspidatum ), Luteolin, and Fisetin ( Rhus succedanea ): outcome=contextual adjacent evidence; directness=indirect; tier=B2; direction=null; claims=56.
- Examination of sex-specific interactions between gut microbiota and host metabolism after 12-week combined polyphenol supplementation in individuals with overweight or obesity: outcome=dosing pharmacokinetics; directness=indirect; tier=B2; direction=null; claims=49.
- The anti-inflammatory activity of resveratrol in acute kidney injury: a systematic review and meta‐analysis of animal studies: outcome=safety comorbidity; directness=review; tier=B2; direction=null; claims=46.
- Equol and Resveratrol Improve Bone Turnover Biomarkers in Postmenopausal Women: A Clinical Trial: outcome=skeletal fracture bone; directness=indirect; tier=B2; direction=null; claims=41.
- Effects of Mediterranean Diet, Curcumin, and Resveratrol on Mild-to-Moderate Active Ulcerative Colitis: A Multicenter Randomized Clinical Trial: outcome=contextual adjacent evidence; directness=indirect; tier=B2; direction=positive; claims=39.

### Classification Criteria

- **Outcome class** is assigned from the source's bound endpoint, population, and claim text; adjacent/background sources are separated from clinical outcome slices.
- **Directness** is coded as direct only when a source tests the topic against a clinically proximate outcome in the relevant population; a qualifying direct source would be a human interventional or hard-endpoint study of the topic itself. Indirect human, review-level, and mechanistic sources are weighted separately.
- **Directional signal** is counted within the assigned outcome class only. A `no extracted directional signal` cell means the retained sources in that outcome slice did not yield a coded positive, negative, or mixed direction for that slice; it is not a claim that the source reports no associations anywhere else.
- **Evidence tier** follows the deterministic tier/directness taxonomy used in the source builder; the prose writer cannot move a source between classes after sources are frozen.

### Load-Bearing Tensions

- Additional corpus sources included animal/preclinical evidence; severity 5 disagreement: Zhu 2025 vs SHEN 2026; Zhu 2025 reports positive effect on dosing pharmacokinetics; SHEN 2026 reports negative on the same outcome — direct conflict
- Severity 5 disagreement: Lv 2025 vs SHEN 2026; Lv 2025 reports positive effect on dosing pharmacokinetics; SHEN 2026 reports negative on the same outcome — direct conflict
- Severity 5 disagreement: Marouf 2021 vs Tabrizi 2018; Marouf 2021 reports negative effect on immune; Tabrizi 2018 reports positive on the same outcome — direct conflict
- Severity 5 disagreement: Marouf 2021 vs Gorabi 2021; Marouf 2021 reports negative effect on immune; Gorabi 2021 reports positive on the same outcome — direct conflict
- Severity 5 disagreement: Keramatzadeh 2025 vs Bastin 2025; Keramatzadeh 2025 reports positive effect on immune; Bastin 2025 reports negative on the same outcome — direct conflict
- Severity 4 null vs positive: Nikniaz 2023 vs Zhu 2025; Zhu 2025 (positive on dosing pharmacokinetics) vs Nikniaz 2023 (null on dosing pharmacokinetics) — partial conflict
- Severity 4 null vs positive: Nikniaz 2023 vs Lv 2025; Lv 2025 (positive on dosing pharmacokinetics) vs Nikniaz 2023 (null on dosing pharmacokinetics) — partial conflict
- Severity 4 null vs positive: Nikniaz 2023 vs SHEN 2026; SHEN 2026 (negative on dosing pharmacokinetics) vs Nikniaz 2023 (null on dosing pharmacokinetics) — partial conflict



Additional corpus sources informed the synthesis without anchoring a foregrounded quantitative claim and are catalogued for completeness: Fadlalmola 2023, Jin 2023, Brown 2024, Wei 2024.

## References

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- **Marouf 2021.** _Correlation between serum pro inflammatory cytokines and clinical scores of knee osteoarthritic patients using resveratrol as a supplementary therapy with meloxicam._ Indian Journal of Pharmacology, 2021. DOI: 10.4103/ijp.IJP_493_20. PMID: 34414904.
- **Hodgin 2021.** _A Placebo-Controlled, Pseudo-Randomized, Crossover Trial of Botanical Agents for Gulf War Illness: Resveratrol ( Polygonum cuspidatum ), Luteolin, and Fisetin ( Rhus succedanea )._ International Journal of Environmental Research and Public Health, 2021. DOI: 10.3390/ijerph18052483. PMID: 33802381.
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- **Jardon 2024.** _Examination of sex-specific interactions between gut microbiota and host metabolism after 12-week combined polyphenol supplementation in individuals with overweight or obesity._ Gut Microbes, 2024. DOI: 10.1080/19490976.2024.2392875. PMID: 39182247.
- **Nyambuya 2020.** _A Meta-Analysis of the Impact of Resveratrol Supplementation on Markers of Renal Function and Blood Pressure in Type 2 Diabetic Patients on Hypoglycemic Therapy._ Molecules, 2020. DOI: 10.3390/molecules25235645. PMID: 33266114.
- **Cao 2022.** _The anti-inflammatory activity of resveratrol in acute kidney injury: a systematic review and meta‐analysis of animal studies._ Pharmaceutical Biology, 2022. DOI: 10.1080/13880209.2022.2132264. PMID: 36269038.
- **Corbi 2023.** _Equol and Resveratrol Improve Bone Turnover Biomarkers in Postmenopausal Women: A Clinical Trial._ International Journal of Molecular Sciences, 2023. DOI: 10.3390/ijms241512063. PMID: 37569440.
- **Dogan 2024.** _Effects of Mediterranean Diet, Curcumin, and Resveratrol on Mild-to-Moderate Active Ulcerative Colitis: A Multicenter Randomized Clinical Trial._ Nutrients, 2024. DOI: 10.3390/nu16101504. PMID: 38794742.
- **Movahed 2020.** _Efficacy and Safety of Resveratrol in Type 1 Diabetes Patients: A Two-Month Preliminary Exploratory Trial._ Nutrients, 2020. DOI: 10.3390/nu12010161. PMID: 31935938.
- **Goncalinho 2021.** _Comparison of Resveratrol Supplementation and Energy Restriction Effects on Sympathetic Nervous System Activity and Vascular Reactivity: A Randomized Clinical Trial._ Molecules, 2021. DOI: 10.3390/molecules26113168. PMID: 34073163.
- **Rao 2025.** _Trans-resveratrol reduces visible signs of skin ageing in healthy adult females over 40: an 8-week randomized placebo-controlled trial._ Frontiers in Aging, 2025. DOI: 10.3389/fragi.2025.1727244. PMID: 41488277.
- **Wang 2025.** _Pharmacokinetic evaluation of two oral Resveratrol formulations in a randomized, open-label, crossover study in healthy fasting subjects._ Scientific Reports, 2025. DOI: 10.1038/s41598-025-08665-0. PMID: 40628835.
- **Yin 2025.** _Protective effects and mechanism of resveratrol in animal models of pulmonary fibrosis: a preclinical systematic review and meta-analysis._ Frontiers in Pharmacology, 2025. DOI: 10.3389/fphar.2025.1666698. PMID: 41089832.
- **Liu 2025.** _Resveratrol Attenuates CSF Markers of Neurodegeneration and Neuroinflammation in Individuals with Alzheimer’s Disease._ International Journal of Molecular Sciences, 2025. DOI: 10.3390/ijms26115044. PMID: 40507855.
- **Sangouni 2022.** _Effect of resveratrol supplementation on hepatic steatosis and cardiovascular indices in overweight subjects with type 2 diabetes: a double-blind, randomized controlled trial._ BMC Cardiovascular Disorders, 2022. DOI: 10.1186/s12872-022-02637-2. PMID: 35538431.
- **Jin 2023.** _Evidence of Clinical Efficacy and Pharmacological Mechanisms of Resveratrol in the Treatment of Alzheimer’s Disease._ Current Alzheimer Research, 2023. DOI: 10.2174/0115672050272577231120060909. PMID: 38047366.
- **Zhang 2022.** _Resveratrol decreases local inflammatory markers and systemic endotoxin in patients with aggressive periodontitis._ Medicine, 2022. DOI: 10.1097/MD.0000000000029393. PMID: 35758374.
- **Ma 2022.** _Effects of resveratrol therapy on glucose metabolism, insulin resistance, inflammation, and renal function in the elderly patients with type 2 diabetes mellitus: A randomized controlled clinical trial protocol._ Medicine, 2022. DOI: 10.1097/MD.0000000000030049. PMID: 35960095.
- **Rabbani 2021.** _Reversal of Insulin Resistance in Overweight and Obese Subjects by trans -Resveratrol and Hesperetin Combination—Link to Dysglycemia, Blood Pressure, Dyslipidemia, and Low-Grade Inflammation._ Nutrients, 2021. DOI: 10.3390/nu13072374. PMID: 34371884.
- **Hecker 2021.** _The impact of resveratrol on skin wound healing, scarring, and aging._ International Wound Journal, 2021. DOI: 10.1111/iwj.13601. PMID: 33949795.
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- **Meden 2026.** _Resveratrol in diabetes and pancreatic function: implications for the exocrine–endocrine pancreatic axis–a systematic review._ Frontiers in Nutrition, 2026. DOI: 10.3389/fnut.2026.1806881. PMID: 42099770.
- **Beijers 2020.** _Resveratrol and metabolic health in COPD: A proof-of-concept randomized controlled trial._ Clin Nutr, 2020. DOI: 10.1016/j.clnu.2020.01.002. PMID: 31996311.
- **Barbarino 2022.** _Integrative skincare trial of intense pulsed light followed by the phyto‐corrective mask, phyto‐corrective gel, and resveratrol BE for decreasing post‐procedure downtime and improving procedure outcomes in patients with rosacea._ Journal of Cosmetic Dermatology, 2022. DOI: 10.1111/jocd.15189. PMID: 35765796.
- **Bastin 2025.** _Effects of resveratrol on inflammatory cytokines in COVID-19 patients: a randomized, double-blinded, placebo-controlled clinical trial._ Mol Cell Biochem, 2025. DOI: 10.1007/s11010-025-05290-3. PMID: 40301181.
- **Crandall 2012.** _Pilot study of resveratrol in older adults with impaired glucose tolerance._ J Gerontol A Biol Sci Med Sci, 2012. DOI: 10.1093/gerona/glr235. PMID: 22219517.
- **Gorabi 2021.** _Effect of resveratrol on C-reactive protein: An updated meta-analysis of randomized controlled trials._ Phytother Res, 2021. DOI: 10.1002/ptr.7262. PMID: 34472150.
- **Tan 2022.** _Efficacy of Resveratrol in Experimental Subarachnoid Hemorrhage Animal Models: A Stratified Meta-Analysis._ Frontiers in Pharmacology, 2022. DOI: 10.3389/fphar.2022.905208. PMID: 35847035.
- **Zaw 2021.** _Long-term effects of resveratrol on cognition, cerebrovascular function and cardio-metabolic markers in postmenopausal women: A 24-month randomised, double-blind, placebo-controlled, crossover study._ Clin Nutr, 2021. DOI: 10.1016/j.clnu.2020.08.025. PMID: 32900519.
- **Wei 2024.** _Resveratrol’s bibliometric and visual analysis from 2014 to 2023._ Frontiers in Plant Science, 2024. DOI: 10.3389/fpls.2024.1423323. PMID: 39439517.
- **Hu 2021.** _A Systematic Review of the Potential Chemoprotective Effects of Resveratrol on Doxorubicin-Induced Cardiotoxicity: Focus on the Antioxidant, Antiapoptotic, and Anti-Inflammatory Activities._ Oxidative Medicine and Cellular Longevity, 2021. DOI: 10.1155/2021/2951697. PMID: 34471463.
- **Tabrizi 2018.** _The effects of resveratrol supplementation on biomarkers of inflammation and oxidative stress among patients with metabolic syndrome and related disorders: a systematic review and meta-analysis of randomized controlled trials._ Food Funct, 2018. DOI: 10.1039/c8fo01259h. PMID: 30426122.
- **Boswijk 2022.** _Resveratrol treatment does not reduce arterial inflammation in males at risk of type 2 diabetes: a randomized crossover trial._ Nuklearmedizin, 2022. DOI: 10.1055/a-1585-7215. PMID: 34918332.
- **Keramatzadeh 2025.** _Effects of resveratrol supplementation on inflammatory markers, fatigue scale, fasting blood sugar and lipid profile in relapsing-remitting multiple sclerosis patients: a double-blind, randomized placebo-controlled trial._ Nutr Neurosci, 2025. DOI: 10.1080/1028415x.2024.2425649. PMID: 39565038.
- **Miao 2025.** _Clinical Efficacy of Curcumin, Resveratrol, Silymarin, and Berberine on Cardio-Metabolic Risk Factors Among Patients With Type 2 Diabetes Mellitus: A Systemic Review and Bayesian Network Meta-Analysis._ Phytother Res, 2025. DOI: 10.1002/ptr.8431. PMID: 40439602.
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{
  "article_type": "evidence_map",
  "domain_slug": "longevity",
  "researka_object_type": "submission",
  "researka_submission_id": "f2458b0b-b62b-491f-92c9-a14effa5cb01",
  "title": "Research Synthesis: Resveratrol Effects \u2014 full paper"
}