Evidence Hub

Effects of resveratrol supplementation on bone biomarkers: a systematic review and meta-analysis

Asis M, Hemmati N, Moradi S, Nagulapalli Venkata KC, Mohammadi E, Farzaei MH, Bishayee A

Annals of the New York Academy of Sciences, 2019

264 participants

Abstract

The current study presents a comprehensive systematic review and meta-analysis of randomized controlled trials (RCTs) on resveratrol and bone health biomarkers. PubMed, Scopus, and Web of Science (until September 2018) were searched to identify the potential RCTs with information on resveratrol supplementation and bone metabolism biomarkers. Mean differences (MD) were analyzed using a random-effects model. Pooling six RCTs (eight treatment arms with 264 subjects) together identified no significant reduction of serum Ca, osteocalcin, C-terminal telopeptide of type I collagen, and procollagen I N-terminal propeptide values after resveratrol supplementation over placebo treatment. However, a significant increase in serum alkaline phosphatase (ALP) (MD: 5.69 mg/mL, 95% CI: 3.58-7.80, I2 = 95.7%, P < 0.001) and bone alkaline phosphatase (BAP) (MD: 10.57 mmHg, 95% CI: 5.36-15.78, I2 = 99.2%, P < 0.001) values was observed after resveratrol treatment relative to placebo. The findings of this study indicate that resveratrol supplementation increased some key bone biomarkers, such as ALP and BAP. Further precise clinical trials of the effects of resveratrol supplementation on bone health should be conducted.

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 264 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free