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Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome
OBJECTIVE: To investigate how body fat influences glucose metabolism and hormone profiles in women with polycystic ovary syndrome (PCOS), compared to women without PCOS. METHODS: We conducted a cross-sectional study of 166 women with PCOS and 139 age-matched control women at Peking University Third...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869160/ https://www.ncbi.nlm.nih.gov/pubmed/36699018 http://dx.doi.org/10.3389/fendo.2022.1085656 |
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author | 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 |
author_facet | 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 |
author_sort | Zhang, Haolin |
collection | PubMed |
description | OBJECTIVE: To investigate how body fat influences glucose metabolism and hormone profiles in women with polycystic ovary syndrome (PCOS), compared to women without PCOS. METHODS: 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. RESULTS: Compared to women without PCOS, women with PCOS and central obesity (P=0.021), PCOS and noncentral obesity (P<0.001), PCOS and high BFP (P<0.001), and PCOS and low BFP (P<0.001) had more severe glucose metabolism evaluated with HOMA-IR. Women with PCOS experienced greater insulin sensitivity impairment than did the normal population for every equal increase in BFP. LH, LH/FSH, total testosterone, and androstenedione were significantly higher in patients with PCOS than in healthy controls, regardless of WHR and BFP stratification. However, negative correlations existed between body fat indices (i.e., BFP and body mass index) and hormone indices (i.e., LH and androstenedione) in the PCOS group, but were absent in the control group. CONCLUSIONS: Obese and non-obese women with PCOS have more severe insulin resistance and sex-hormone disorders than women without PCOS. The effect of body fat on sex-hormone disorders is only exist in women with PCOS. These findings suggested that PCOS clinical guidelines should be more specific to body fat. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, Registration No. NCT04264832. |
format | Online Article Text |
id | pubmed-9869160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98691602023-01-24 Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome 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 Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: To investigate how body fat influences glucose metabolism and hormone profiles in women with polycystic ovary syndrome (PCOS), compared to women without PCOS. METHODS: 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. RESULTS: Compared to women without PCOS, women with PCOS and central obesity (P=0.021), PCOS and noncentral obesity (P<0.001), PCOS and high BFP (P<0.001), and PCOS and low BFP (P<0.001) had more severe glucose metabolism evaluated with HOMA-IR. Women with PCOS experienced greater insulin sensitivity impairment than did the normal population for every equal increase in BFP. LH, LH/FSH, total testosterone, and androstenedione were significantly higher in patients with PCOS than in healthy controls, regardless of WHR and BFP stratification. However, negative correlations existed between body fat indices (i.e., BFP and body mass index) and hormone indices (i.e., LH and androstenedione) in the PCOS group, but were absent in the control group. CONCLUSIONS: Obese and non-obese women with PCOS have more severe insulin resistance and sex-hormone disorders than women without PCOS. The effect of body fat on sex-hormone disorders is only exist in women with PCOS. These findings suggested that PCOS clinical guidelines should be more specific to body fat. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, Registration No. NCT04264832. Frontiers Media S.A. 2023-01-09 /pmc/articles/PMC9869160/ /pubmed/36699018 http://dx.doi.org/10.3389/fendo.2022.1085656 Text en Copyright © 2023 Zhang, Wang, Zhao, Jiao, Zeng, Zhang, Zhao, Shi, Hu, Luo, Fukuzawa, Li, Li and Qiao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology 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 Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
title | Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
title_full | Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
title_fullStr | Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
title_full_unstemmed | Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
title_short | Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
title_sort | relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869160/ https://www.ncbi.nlm.nih.gov/pubmed/36699018 http://dx.doi.org/10.3389/fendo.2022.1085656 |
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