The effect of thiazolidinediones on body fat redistribution in adults: A systematic review and meta-analysis of randomized controlled trials.
Fang ZhangXiaohui PanXinyue ZhangNanwei TongPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2023)
Visceral adiposity is a strong predictor of cardiometabolic risk. Thiazolidinediones (TZDs) are associated with a shift in fat redistribution from visceral adipose tissue (VAT) to subcutaneous adipose tissue (SAT). We aimed to compare the effects of TZD and other interventions on fat remodeling in adults in randomized controlled trials. Among the 1331 retrieved studies, 39 trials with 1765 participants were included in the meta-analysis. The standardized mean difference in VAT change was not significantly different between TZD and comparators across the overall studies. Intriguingly, TZD treatment resulted in significant decreases in VAT compared with placebo and sulfonylureas (p < 0.05), although recombinant human growth hormone was superior to TZD regarding VAT reduction (p < 0.05). Data from 216 participants showed TZD leading to a greater reduction in liver fat percentage than comparators (p < 0.05). Compared with the controls, TZD significantly increased SAT, total body fat, weight, waist circumference, and body mass index (p < 0.05). However, TZD pronouncedly improved glucose control, insulin resistance, adiponectin, and lipid profile (p < 0.05). TZD provides a favorable effect on fat redistribution and benefits insulin sensitivity, suggesting a potentially valuable approach in cardiometabolic risk management.
Keyphrases
- adipose tissue
- insulin resistance
- body mass index
- high fat diet
- systematic review
- polycystic ovary syndrome
- physical activity
- weight gain
- recombinant human
- high fat diet induced
- metabolic syndrome
- randomized controlled trial
- case control
- type diabetes
- skeletal muscle
- body weight
- clinical trial
- weight loss
- machine learning
- big data
- meta analyses
- smoking cessation
- deep learning
- artificial intelligence
- phase iii