Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome

• Published in: Frontiers in endocrinology (Lausanne) 2023-01, Vol.13, p.1085656-1085656
• Main Authors: Zhang, Haolin, Wang, Wei, Zhao, Jiaming, Jiao, Peijie, Zeng, Lin, Zhang, Hua, Zhao, Yue, Shi, Li, Hu, Hangqi, Luo, Liyan, Fukuzawa, Ii, Li, Dong, Li, Rong, Qiao, Jie
• Format: Article
• Language: English
• Subjects: Androstenedione; Blood Glucose - metabolism; Body Composition; body fat distribution; body fat percentage; Cross-Sectional Studies; Endocrinology; Female; Follicle Stimulating Hormone - metabolism; Gonadal Steroid Hormones; Humans; hyperandrogenemia; Insulin Resistance; Luteinizing Hormone - metabolism; Obesity - complications; Obesity - metabolism; polycystic ovary syndrome; Polycystic Ovary Syndrome - metabolism; Testosterone; waist-to-hip ratio
• ISSN: 1664-2392; 1664-2392
• DOI: 10.3389/fendo.2022.1085656

To investigate how body fat influences glucose metabolism and hormone profiles in women with polycystic ovary syndrome (PCOS), compared to women without PCOS. We conducted a cross-sectional study of 166 women with PCOS and 139 age-matched control women at Peking University Third Hospital (Beijing, China) from March 2016 to December 2021. All participants underwent bioimpedance rate assessment of clinical, anthropometric, hormonal, and metabolic features. In particular, body composition parameters were assessed, based on the methods used in a previous study. Homeostasis model assessment-insulin resistance (HOMA-IR) and other indices calculated from fasting glucose and insulin were used to measure insulin resistance. The hormonal profiles [follicle-stimulating hormone (FSH), luteinizing hormone (LH), estrogen (E2), prolactin (PRL), total testosterone (T), and androstenedione (A2)] were assessed by using biochemical methods. Two subgroup analyses were conducted according to waist-to-hip ratio (WHR; < 0.85, non-central obesity and ≥ 0.85, central obesity) and body fat percentage (BFP; < 35% for lean and ≥35% for obesity). The indices above were analyzed using a two-sided t-test or Wilcoxon rank sum test. Linear regression was used to investigate the effects of body composition on metabolism and sex hormones in the PCOS and control groups. Compared to women without PCOS, women with PCOS and central obesity ( =0.021), PCOS and noncentral obesity (