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UHPLC/Q-TOFMS-based plasma metabolomics of polycystic ovary syndrome patients with and without insulin resistance
Chen Y.-X.1; Zhang X.-J.2; Huang J.1; Zhou S.-J.2; Liu F.2; Jiang L.-L.1; Chen M.2; Jian-Bo W.2; Yang D.-Z.1
2016-03-20
Source PublicationJournal of Pharmaceutical and Biomedical Analysis
ISSN1873264X 07317085
Volume121Pages:141-150
Abstract

Polycystic ovary syndrome (PCOS), characterized with menstrual irregularities, hyperandrogenism and ovulatory abnormalities, is usually companied with insulin resistance (IR) and accounts for one of the most prevalent reproductive dysfunction of premenopausal women. Despite accumulating investigations, diagnostic standards of this pathological condition remain obscure. The aim of present study is to characterize the plasma metabolic characteristics of PCOS patients with and without IR, and subsequently identify the potential biomarkers for the diagnosis of PCOS and its IR complication. A total of 59 plasma samples from eligible healthy controls (CON, n = 19), PCOS patients without IR (non-IR PCOS, n = 19) and PCOS patients with IR (IR PCOS, n = 21) were profiled by an ultra high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOFMS) followed by multivariate statistical analysis. Compared to the healthy controls, significant decrease in the levels of phosphocholines (PCs) and lyso PC (18:2), and increase in trilauric glyceride level were observed in the plasma of IR PCOS. Meanwhile, the significant increase in the levels of saturated fatty acids (palmitic acid and stearic acid) and decanoylcarnitine, and decrease in PC (36:2) and PS (36:0) were found in non-IR PCOS patients. Trilauric glyceride and decanoylcarnitine were identified as the potential biomarkers with the highest sensitivity and specificity for the diagnosis of PCOS patients with and without IR, respectively. Furthermore, based on these alterations of metabolites, MetPA network pathway analysis suggested a profound involvement of the abnormalities of glycerophospholipid, glycerolipid and fatty acid metabolisms in the pathogenesis of PCOS and IR complications. Collectively, LC-MS-based metabolomics provides a promising strategy for complementary diagnosis of PCOS and its IR complication and offers a new insight to understand their pathogenesis mechanisms.

KeywordInsulin Resistance Metabolomics Polycystic Ovary Syndrome Uhplc/q-tofms
DOI10.1016/j.jpba.2016.01.025
URLView the original
Indexed BySCI
WOS Research AreaChemistry ; Pharmacology & Pharmacy
WOS SubjectChemistry, Analytical ; Pharmacology & Pharmacy
WOS IDWOS:000371187100018
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Cited Times [WOS]:13   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Affiliation1.Sun Yat-Sen University
2.Universidade de Macau
Recommended Citation
GB/T 7714
Chen Y.-X.,Zhang X.-J.,Huang J.,et al. UHPLC/Q-TOFMS-based plasma metabolomics of polycystic ovary syndrome patients with and without insulin resistance[J]. Journal of Pharmaceutical and Biomedical Analysis,2016,121:141-150.
APA Chen Y.-X..,Zhang X.-J..,Huang J..,Zhou S.-J..,Liu F..,...&Yang D.-Z..(2016).UHPLC/Q-TOFMS-based plasma metabolomics of polycystic ovary syndrome patients with and without insulin resistance.Journal of Pharmaceutical and Biomedical Analysis,121,141-150.
MLA Chen Y.-X.,et al."UHPLC/Q-TOFMS-based plasma metabolomics of polycystic ovary syndrome patients with and without insulin resistance".Journal of Pharmaceutical and Biomedical Analysis 121(2016):141-150.
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