Effect of Isoflavones and Genistein on Glucose Metabolism in Peri- and Post-Menopausal Women: An Overview of Meta-Analysis.
Afiat MalieheSara GhahremaniSara KharghaniMasumeh Ghazanfar PourKhatereh ShariatiMaryam KazemiTalat KhadivzadehPublished in: Journal of menopausal medicine (2019)
The purpose of the present overview of meta-analysis is to summarize and critically assess the effect of isoflavones and genistein on glucose metabolism among the peri- and post-menopausal women. Two independent authors searched the databases of MEDLINE, Scopus and Cochrane Library for meta-analysis. Three databases were searched from inception to January 2018. Methodological quality of each meta-analysis of randomized controlled trials was evaluated using the AMSTAR (a measurement tool used to assess systematic reviews). Four meta-analyses were included to the current overview. Fasting insulin levels and homeostatic model assessment of insulin resistance (HOMA-IR) values were significantly lower in peri-menopausal and postmenopausal. Two meta-analyses showed that treatment with isoflavones could not alter fasting blood glucose. However, one meta-analysis depicted that isoflavones significantly improved blood glucose levels in non-Asian postmenopausal women. Treatment with genistein could have significant beneficial effects on fasting insulin, blood glucose and HOMA-IR in comparison to the control group. Regardless of the population, the treatment with genistein is effective in improving fasting insulin, HOMA-IR and glucose levels. Nevertheless, the high heterogeneity among studies and poor methodology of reviews made it difficult to draw a definite conclusion on the positive impacts of soy on glucose metabolism.
Keyphrases
- blood glucose
- meta analyses
- systematic review
- glycemic control
- type diabetes
- insulin resistance
- postmenopausal women
- randomized controlled trial
- blood pressure
- polycystic ovary syndrome
- bone mineral density
- case control
- weight loss
- pregnant women
- skeletal muscle
- high fat diet
- machine learning
- artificial intelligence
- cervical cancer screening
- body composition