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Effects of resveratrol in an animal model of osteoporosis: a meta-analysis of preclinical evidence

Jinlong Zhao, Guang-Hui Zhou, Jun-Zheng Yang, Jian-Ke Pan, Bang-Xin Sha, Ming-hui Luo, Wei-Yi Yang, Jun Liu et al.

Frontiers in Nutrition, 2023

14 citations

Abstract

Background Resveratrol is a natural polyphenol compound that is widely present in herbal medicines such as Reynoutria japonica Houtt., Veratrum nigrum L., and Catsiatora Linn and is used in traditional Chinese medicine to treat metabolic bone deseases. Animal experiments have shown that resveratrol may have a strong treatment effect against osteoporosis (OP). The purpose of this study was to explore the efficacy of resveratrol in treating OP animal models based on preclinical research data. Methods This study was completed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched the PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases from inception to May 8, 2023, to identify animal experiments on the treatment of OP with resveratrol. The effect sizes of bone mineral density (BMD), parameters of micro-CT, serum calcium, phosphorus, alkaline phosphatase (ALP) and osteocalcin were expressed as the mean differences (MDs) and 95% confidence intervals (CIs). RevMan 5.4 software was used for data analysis. Results This meta-analysis included a total of 15 animal experiments, including 438 OP rats. The meta-analysis results showed that compared with the control group, resveratrol ( 0.05). The results of subgroup analysis showed that resveratrol increased the whole-body BMD of SD rats (p = 0.002) but did not improve the whole-body BMD of 3-month-old rats (p = 0.17). Conclusion…

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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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