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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |