Cargando…

Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis

BACKGROUND: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder accompanied with an increased risk of developing type 2 diabetes mellitus and cardiovascular disease; despite being a common condition, the pathogenesis of PCOS remains unclear. Our aim was to investigate the potentia...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Yue, Fu, Li, Li, Rong, Wang, Li-Na, Yang, Yan, Liu, Na-Na, Zhang, Chun-Mei, Wang, Ying, Liu, Ping, Tu, Bin-Bin, Zhang, Xue, Qiao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599233/
https://www.ncbi.nlm.nih.gov/pubmed/23198915
http://dx.doi.org/10.1186/1741-7015-10-153
_version_ 1782262916855103488
author Zhao, Yue
Fu, Li
Li, Rong
Wang, Li-Na
Yang, Yan
Liu, Na-Na
Zhang, Chun-Mei
Wang, Ying
Liu, Ping
Tu, Bin-Bin
Zhang, Xue
Qiao, Jie
author_facet Zhao, Yue
Fu, Li
Li, Rong
Wang, Li-Na
Yang, Yan
Liu, Na-Na
Zhang, Chun-Mei
Wang, Ying
Liu, Ping
Tu, Bin-Bin
Zhang, Xue
Qiao, Jie
author_sort Zhao, Yue
collection PubMed
description BACKGROUND: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder accompanied with an increased risk of developing type 2 diabetes mellitus and cardiovascular disease; despite being a common condition, the pathogenesis of PCOS remains unclear. Our aim was to investigate the potential metabolic profiles for different phenotypes of PCOS, as well as for the early prognosis of complications. METHODS: A total of 217 women with PCOS and 48 healthy women as normal controls were studied. Plasma samples of subjects were tested using two different analytical platforms of metabolomics: (1)H nuclear magnetic resonance (NMR) and gas chromatography/time-of-flight mass spectrometry (GC/TOF-MS). RESULTS: Our results showed that carbohydrate, lipid and amino acid metabolisms were influenced in PCOS. The levels of lactate, long-chain fatty acids, triglyceride and very low-density lipoprotein were elevated, while glucose, phosphatidylcholine and high-density lipoprotein (HDL) concentrations were reduced in PCOS patients as compared with controls. Additionally, the levels of alanine, valine, serine, threonine, ornithine, phenylalanine, tyrosine and tryptophan were generally increased, whereas the levels of glycine and proline were significantly reduced in PCOS samples compared to controls. Furthermore, the ratio of branched-chain amino acid to aromatic amino acid concentrations (BCAA/AAA) in PCOS plasma was significantly reduced in PCOS patients and was insusceptible to obesity and insulin sensitivity. CONCLUSIONS: Our results suggested that the enhanced glycolysis and inhibited tricarboxylic acid cycle (TAC) in women with PCOS. Decrease of BCAA/AAA ratio was directly correlated with the development of PCOS. Ovulatory dysfunction of PCOS patients was associated with raised production of serine, threonine, phenylalanine, tyrosine and ornithine. Elevated levels of valine and leucine, and decreased concentrations of glycine in PCOS plasma could contribute to insulin sensitivity and could be considered as the potential biomarkers for long-term risk assessment of diabetes mellitus.
format Online
Article
Text
id pubmed-3599233
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35992332013-04-03 Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis Zhao, Yue Fu, Li Li, Rong Wang, Li-Na Yang, Yan Liu, Na-Na Zhang, Chun-Mei Wang, Ying Liu, Ping Tu, Bin-Bin Zhang, Xue Qiao, Jie BMC Med Research Article BACKGROUND: Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder accompanied with an increased risk of developing type 2 diabetes mellitus and cardiovascular disease; despite being a common condition, the pathogenesis of PCOS remains unclear. Our aim was to investigate the potential metabolic profiles for different phenotypes of PCOS, as well as for the early prognosis of complications. METHODS: A total of 217 women with PCOS and 48 healthy women as normal controls were studied. Plasma samples of subjects were tested using two different analytical platforms of metabolomics: (1)H nuclear magnetic resonance (NMR) and gas chromatography/time-of-flight mass spectrometry (GC/TOF-MS). RESULTS: Our results showed that carbohydrate, lipid and amino acid metabolisms were influenced in PCOS. The levels of lactate, long-chain fatty acids, triglyceride and very low-density lipoprotein were elevated, while glucose, phosphatidylcholine and high-density lipoprotein (HDL) concentrations were reduced in PCOS patients as compared with controls. Additionally, the levels of alanine, valine, serine, threonine, ornithine, phenylalanine, tyrosine and tryptophan were generally increased, whereas the levels of glycine and proline were significantly reduced in PCOS samples compared to controls. Furthermore, the ratio of branched-chain amino acid to aromatic amino acid concentrations (BCAA/AAA) in PCOS plasma was significantly reduced in PCOS patients and was insusceptible to obesity and insulin sensitivity. CONCLUSIONS: Our results suggested that the enhanced glycolysis and inhibited tricarboxylic acid cycle (TAC) in women with PCOS. Decrease of BCAA/AAA ratio was directly correlated with the development of PCOS. Ovulatory dysfunction of PCOS patients was associated with raised production of serine, threonine, phenylalanine, tyrosine and ornithine. Elevated levels of valine and leucine, and decreased concentrations of glycine in PCOS plasma could contribute to insulin sensitivity and could be considered as the potential biomarkers for long-term risk assessment of diabetes mellitus. BioMed Central 2012-11-30 /pmc/articles/PMC3599233/ /pubmed/23198915 http://dx.doi.org/10.1186/1741-7015-10-153 Text en Copyright ©2012 Zhao et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhao, Yue
Fu, Li
Li, Rong
Wang, Li-Na
Yang, Yan
Liu, Na-Na
Zhang, Chun-Mei
Wang, Ying
Liu, Ping
Tu, Bin-Bin
Zhang, Xue
Qiao, Jie
Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
title Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
title_full Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
title_fullStr Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
title_full_unstemmed Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
title_short Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
title_sort metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599233/
https://www.ncbi.nlm.nih.gov/pubmed/23198915
http://dx.doi.org/10.1186/1741-7015-10-153
work_keys_str_mv AT zhaoyue metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT fuli metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT lirong metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT wanglina metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT yangyan metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT liunana metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT zhangchunmei metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT wangying metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT liuping metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT tubinbin metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT zhangxue metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis
AT qiaojie metabolicprofilescharacterizingdifferentphenotypesofpolycysticovarysyndromeplasmametabolomicsanalysis