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"Soy protein"

Review Article
Soy Supplementation Does Not Affect Serum Adiponectin Levels in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Jahangir Karimian, Parivash Shekarchizadeh-Esfahani
Clin Nutr Res 2024;13(2):130-138.   Published online May 2, 2024
DOI: https://doi.org/10.7762/cnr.2024.13.2.130

Numerous studies have indicated that low levels of serum adiponectin are linked with the development of various chronic diseases. While some recent research has suggested that soy has a positive impact on serum adiponectin levels, the results are inconsistent. Therefore, we aim to conduct a thorough systematic review and meta-analysis of randomized controlled trials (RCTs) that investigate the effects of soy on serum adiponectin levels in adults. The search was conducted until March 2024 on PubMed, Scopus, Web of Science, and Cochrane Library databases to identify RCTs that studied the effects of soy supplementation on serum adiponectin levels. A random-effects model was used to pool the weighted mean differences (WMDs). Ten and nine RCTs were selected for the systematic review and meta-analysis, respectively. After analyzing data from 9 eligible RCTs, it was found that soy supplementation did not significantly impact the concentrations of adiponectin (WMD = −0.24 μg/mL; 95% confidence interval, −1.56 to 1.09; p = 0.72). However, there was significant heterogeneity between the studies (I2 = 89.8%, p < 0.001). Sensitivity analysis showed that overall estimates were not affected by the elimination of any study. We did not observe any evidence regarding publication bias. In conclusion, soy supplementation did not have a significant effect on adiponectin levels in adults. However, further RCTs are needed with longer intervention duration, higher doses, and studies conducted in different countries.

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  • The correlation between proprotein convertase subtilisin/kexin type 9 and adiponectin in the progression from prediabetes to type 2 diabetes mellitus
    Jun-Xu Gu, Kun Wang, Ai-Min Zhang, Yue Yin, Shan-Shan Li, Na Zhang, Li Qin, Chun-Yan Wang, Lin Pei, Mei Jia, Ming Su
    Scientific Reports.2025;[Epub]     CrossRef
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