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Urate-lowering effects of polyphenolic compounds in animal models: systematic review and meta-analysis

Chen J, Zhang B, Cao Z, Yang L, Yuan Y

PeerJ, 2025

Abstract

Background: Recent research underscores the critical role of uric acid (UA) in the pathogenesis and progression of various diseases. However, the effects of polyphenolic compounds on uric acid levels remain poorly defined.

Objective: This review aims to assess the impact of five specific polyphenolic compounds on uric acid levels in animal models.

Methodology: We performed an exhaustive literature search through October 30, 2024, utilizing databases including Wanfang, VIP, Cochrane Library, CNKI, Embase, and PubMed. The methodological quality of the included animal studies was evaluated using the SYRCLE (Systematic Review Centre for Laboratory animal Experimentation) risk of bias tool. Data analysis was conducted using R software, with meta-analyses performed via RevMan 5.3, adhering to the Cochrane Handbook for Systematic Reviews of Interventions.

Results: Our analysis integrated data from 49 studies, revealing that the selected polyphenolic compounds significantly lowered serum uric acid (SUA) levels across various animal models (standardized mean difference (SMD) = -2.33, 95% CI [-2.73, -1.93]) and increased urinary uric acid (UUA) levels (SMD = 2.53, 95% CI [1.38, 3.69]). Subgroup analyses demonstrated consistent SUA reduction across different disease models. Detailed meta-analyses for each polyphenol disclosed distinct contributions to SUA reduction: resveratrol (RES) (SMD = -1.86, 95% confidence interval (CI) [-2.28, -1.45]), chlorogenic acid (CGA) (SMD = -2.31, 95% CI…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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