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Benefits of administering GLP-1 analogs to patients with polycystic ovary syndrome, considering their effect on adipose tissue metabolism Cover

Benefits of administering GLP-1 analogs to patients with polycystic ovary syndrome, considering their effect on adipose tissue metabolism

Open Access
|Dec 2023

Abstract

Mammals have 2 primary types of adipose tissue: brown adipose tissue (BAT) and white adipose tissue (WAT). White adipose tissue, one of the largest organs, spans the entire body and persists throughout an individual’s life, with the highest concentrations found in the abdominal cavity or subcutaneously. In obese individuals, the amount of WAT can reach up to 70% of total body weight. Today, glucagon-like peptide-1 (GLP-1) analogs have gained popularity in the treatment of obesity, insulin resistance, and related metabolic disorders. Patients using glucagon-like peptide-1 receptor agonists (GLP-1RAs) have improved lipid profiles, reduced visceral fat accumulation, and improved glucose tolerance. Polycystic ovarian syndrome (PCOS) is a disorder strongly associated with insulin resistance and obesity. It is the most common heterogeneous endocrine disorder, affecting an estimated 1 in 5 women of reproductive age. The introduction of GLP-1 analog treatment in women with PCOS could help to manage the disease, improve the quality of life of PCOS patients, increase their chances of conception, and maintain pregnancy until delivery. This review presents the latest reports on the use of GLP-1RAs and the treatment of PCOS.

DOI: https://doi.org/10.21164/pomjlifesci.965 | Journal eISSN: 2719-6313 | Journal ISSN: 2450-4637
Language: English
Page range: 32 - 37
Published on: Dec 26, 2023
Published by: Pomeranian Medical University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Małgorzata Król, Justyna Żychowska, Ryszard Łagowski, Patrycja Kupnicka, Donata Simińska, Dariusz Chlubek, published by Pomeranian Medical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.