Serum metabolomics reveals metabolic profiling for women with hyperandrogenism and insulin resistance in polycystic ovary syndrome

Serum metabolomics reveals metabolic profiling for women with hyperandrogenism and insulin resistance in polycystic ovary syndrome
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血清代谢组学揭示多囊卵巢综合征高雄激素血症和胰岛素抵抗女性的代谢谱

DOI:
10.1007/s11306-020-1642-y
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发表时间:
2020-01-24
期刊:
影响因子:
3.6
通讯作者:
Zhou, Wei
Zhou, Wei
中科院分区:
医学3区
文献类型:
--
作者:
Zhang, Zhihao;Hong, Yanli;Zhou, Wei

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IntroductionPolycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder. Hyperandrogenism (HA) and insulin resistance (IR) are two important pathogenic factors.ObjectiveWe aimed to investigate the inherent disturbed metabolic profiles for women with HA or IR in PCOS as well as discover diagnostic biomarkers.MethodsA total of 286 subjects were recruited for the study. They constituted the following groups: healthy women (C), those with HA (B1), those with IR but not obese (B2) and obese women with IR (B3) in PCOS. Nine cross-comparisons with PCOS were performed to characterize metabolic disturbances. Serum metabolomic profiles were determined by gas chromatography–mass spectrometry.Results and conclusionWe found a total of 59 differential metabolites. 28 metabolites for B1vsC, 32 for B2vsC and 25 for B3vsC were discovered. Among them, palmitic acid, cholesterol, myo-inositol,d-allose, 1,5-anhydro-d-sorbitol, 1-monopalmitin, 1-monostearin, glycerol 1-phosphate, malic acid and citric acid, were the common differential metabolites among B1vsC, B2vsC and B3vsC, which related to biosynthesis of unsaturated fatty acids, citrate cycle etc. Besides, 9-biomarker panel can diagnose well between HA and IR in PCOS. They provided areas under the receiver operating characteristic curve of 0.8511 to 1.000 in the discovery phase, and predictive values of 90% to 92% in the validation set. The result indicated that the differential metabolites can reflect the underlying mechanism of PCOS and serve as biomarkers for complementary diagnosis of HA and IR in PCOS.