open access

Vol 93, No 8 (2022)
Review paper
Published online: 2022-08-03
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Branched-chain amino acids as a novel biomarker of metabolic disturbances in women with polycystic ovary syndrome — literature review

Hanna Szmygin1, Monika Lenart-Lipinska1, Joanna Szydelko1, Slawomir Wozniak2, Beata Matyjaszek-Matuszek1
·
Pubmed: 35942720
·
Ginekol Pol 2022;93(8):665-669.
Affiliations
  1. Department of Endocrinology, Diabetology and Metabolic Disorders, Medical University of Lublin, Poland
  2. 3rd Chair and Department of Gynecology, Medical University of Lublin, Poland

open access

Vol 93, No 8 (2022)
REVIEW PAPERS Gynecology
Published online: 2022-08-03

Abstract

Polycystic ovary syndrome (PCOS) is a common, heterogeneous endocrine disorder which effects 5–10% of reproductive-age women. Recently, an association between PCOS and an increased risk of developing metabolic disturbances, such as insulin resistance, prediabetes, type 2 diabetes mellitus as well as obesity has been emphasised. Branched-chain amino acids (BCAAs), including valine (Val), leucine (Leu) and isoleucine (Ile), are a group of essential amino acids that cannot be synthesized in human body and need to be obtained from food. Several recent studies provide evidence that plasma BCAAs also serve as crucial nutrient signals and metabolic regulators. Interestingly, latest metabolomics analysis shows abnormalities in amino acid catabolism and biosynthesis in patients with PCOS, particularly in BCAAs. A growing body of evidence proves that elevated levels of BCAAs may have adverse effects on metabolic health leading to the development of insulin resistance, prediabetes, type 2 diabetes mellitus and obesity both in human and animal models. The aim of this review is to assess the current state of knowledge about the potential role of BCAAs as a novel biomarker of metabolic disturbances in women with polycystic ovary syndrome based on recent scientific literature published up to July 2021 and searches of the PubMed, Google Scholar, and Web of Science databases.

Abstract

Polycystic ovary syndrome (PCOS) is a common, heterogeneous endocrine disorder which effects 5–10% of reproductive-age women. Recently, an association between PCOS and an increased risk of developing metabolic disturbances, such as insulin resistance, prediabetes, type 2 diabetes mellitus as well as obesity has been emphasised. Branched-chain amino acids (BCAAs), including valine (Val), leucine (Leu) and isoleucine (Ile), are a group of essential amino acids that cannot be synthesized in human body and need to be obtained from food. Several recent studies provide evidence that plasma BCAAs also serve as crucial nutrient signals and metabolic regulators. Interestingly, latest metabolomics analysis shows abnormalities in amino acid catabolism and biosynthesis in patients with PCOS, particularly in BCAAs. A growing body of evidence proves that elevated levels of BCAAs may have adverse effects on metabolic health leading to the development of insulin resistance, prediabetes, type 2 diabetes mellitus and obesity both in human and animal models. The aim of this review is to assess the current state of knowledge about the potential role of BCAAs as a novel biomarker of metabolic disturbances in women with polycystic ovary syndrome based on recent scientific literature published up to July 2021 and searches of the PubMed, Google Scholar, and Web of Science databases.

Get Citation

Keywords

branched-chain amino acids; PCOS, metabolic syndrome; insulin resistance; type 2 diabetes; obesity

About this article
Title

Branched-chain amino acids as a novel biomarker of metabolic disturbances in women with polycystic ovary syndrome — literature review

Journal

Ginekologia Polska

Issue

Vol 93, No 8 (2022)

Article type

Review paper

Pages

665-669

Published online

2022-08-03

Page views

4961

Article views/downloads

900

DOI

10.5603/GP.a2022.0079

Pubmed

35942720

Bibliographic record

Ginekol Pol 2022;93(8):665-669.

Keywords

branched-chain amino acids
PCOS
metabolic syndrome
insulin resistance
type 2 diabetes
obesity

Authors

Hanna Szmygin
Monika Lenart-Lipinska
Joanna Szydelko
Slawomir Wozniak
Beata Matyjaszek-Matuszek

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