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Serum Metabolomics in PCOS Women with Different Body Mass Index

Polycystic ovary syndrome (PCOS) is the most prevalent endocrine and metabolic disorder, affecting 5–10% of women of reproductive age. It results from complex environmental factors, genetic predisposition, hyperinsulinemia, hormonal imbalance, neuroendocrine abnormalities, chronic inflammation, and...

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Autores principales: Ożegowska, Katarzyna, Plewa, Szymon, Mantaj, Urszula, Pawelczyk, Leszek, Matysiak, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268990/
https://www.ncbi.nlm.nih.gov/pubmed/34202365
http://dx.doi.org/10.3390/jcm10132811
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author Ożegowska, Katarzyna
Plewa, Szymon
Mantaj, Urszula
Pawelczyk, Leszek
Matysiak, Jan
author_facet Ożegowska, Katarzyna
Plewa, Szymon
Mantaj, Urszula
Pawelczyk, Leszek
Matysiak, Jan
author_sort Ożegowska, Katarzyna
collection PubMed
description Polycystic ovary syndrome (PCOS) is the most prevalent endocrine and metabolic disorder, affecting 5–10% of women of reproductive age. It results from complex environmental factors, genetic predisposition, hyperinsulinemia, hormonal imbalance, neuroendocrine abnormalities, chronic inflammation, and autoimmune disorders. PCOS impacts menstrual regularities, fertility, and dermatological complications, and may induce metabolic disturbances, diabetes, and coronary heart disease. Comprehensive metabolic profiling of patients with PCOS may be a big step in understanding and treating the disease. The study aimed to search for potential differences in metabolites concentrations among women with PCOS according to different body mass index (BMI) in comparison to healthy controls. We used broad-spectrum targeted metabolomics to evaluate metabolites’ serum concentrations in PCOS patients and compared them with healthy controls. The measurements were performed using high-performance liquid chromatography coupled with the triple quadrupole tandem mass spectrometry technique, which has highly selective multiple reaction monitoring modes. The main differences were found in glycerophospholipid concentrations, with no specific tendency to up-or down-regulation. Insulin resistance and elevated body weight influence acylcarnitine C2 levels more than PCOS itself. Sphingomyelin (SM) C18:1 should be more intensively observed and examined in future studies and maybe serve as one of the PCOS biomarkers. No significant correlations were observed between anthropometric and hormonal parameters and metabolome results.
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spelling pubmed-82689902021-07-10 Serum Metabolomics in PCOS Women with Different Body Mass Index Ożegowska, Katarzyna Plewa, Szymon Mantaj, Urszula Pawelczyk, Leszek Matysiak, Jan J Clin Med Article Polycystic ovary syndrome (PCOS) is the most prevalent endocrine and metabolic disorder, affecting 5–10% of women of reproductive age. It results from complex environmental factors, genetic predisposition, hyperinsulinemia, hormonal imbalance, neuroendocrine abnormalities, chronic inflammation, and autoimmune disorders. PCOS impacts menstrual regularities, fertility, and dermatological complications, and may induce metabolic disturbances, diabetes, and coronary heart disease. Comprehensive metabolic profiling of patients with PCOS may be a big step in understanding and treating the disease. The study aimed to search for potential differences in metabolites concentrations among women with PCOS according to different body mass index (BMI) in comparison to healthy controls. We used broad-spectrum targeted metabolomics to evaluate metabolites’ serum concentrations in PCOS patients and compared them with healthy controls. The measurements were performed using high-performance liquid chromatography coupled with the triple quadrupole tandem mass spectrometry technique, which has highly selective multiple reaction monitoring modes. The main differences were found in glycerophospholipid concentrations, with no specific tendency to up-or down-regulation. Insulin resistance and elevated body weight influence acylcarnitine C2 levels more than PCOS itself. Sphingomyelin (SM) C18:1 should be more intensively observed and examined in future studies and maybe serve as one of the PCOS biomarkers. No significant correlations were observed between anthropometric and hormonal parameters and metabolome results. MDPI 2021-06-25 /pmc/articles/PMC8268990/ /pubmed/34202365 http://dx.doi.org/10.3390/jcm10132811 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ożegowska, Katarzyna
Plewa, Szymon
Mantaj, Urszula
Pawelczyk, Leszek
Matysiak, Jan
Serum Metabolomics in PCOS Women with Different Body Mass Index
title Serum Metabolomics in PCOS Women with Different Body Mass Index
title_full Serum Metabolomics in PCOS Women with Different Body Mass Index
title_fullStr Serum Metabolomics in PCOS Women with Different Body Mass Index
title_full_unstemmed Serum Metabolomics in PCOS Women with Different Body Mass Index
title_short Serum Metabolomics in PCOS Women with Different Body Mass Index
title_sort serum metabolomics in pcos women with different body mass index
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268990/
https://www.ncbi.nlm.nih.gov/pubmed/34202365
http://dx.doi.org/10.3390/jcm10132811
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