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血清代谢组学揭示多囊卵巢综合征伴高雄激素血症和胰岛素抵抗妇女的代谢特征。

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

机构信息

State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.

Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.

出版信息

Metabolomics. 2020 Jan 24;16(2):20. doi: 10.1007/s11306-020-1642-y.

Abstract

INTRODUCTION

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder. Hyperandrogenism (HA) and insulin resistance (IR) are two important pathogenic factors.

OBJECTIVE

We aimed to investigate the inherent disturbed metabolic profiles for women with HA or IR in PCOS as well as discover diagnostic biomarkers.

METHODS

A 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 CONCLUSION

We found a total of 59 differential metabolites. 28 metabolites for B1 vs C, 32 for B2 vs C and 25 for B3 vs C 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 B1 vs C, B2 vs C and B3 vs C, 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.

摘要

简介

多囊卵巢综合征(PCOS)是一种异质性内分泌疾病。高雄激素血症(HA)和胰岛素抵抗(IR)是两个重要的发病因素。

目的

旨在研究 PCOS 中 HA 或 IR 患者固有的代谢紊乱特征,并发现诊断生物标志物。

方法

共招募 286 名受试者参加研究。他们分为以下几组:健康女性(C)、HA 患者(B1)、IR 但不肥胖的患者(B2)和 PCOS 合并 IR 肥胖的患者(B3)。对 9 个 PCOS 组间比较进行了代谢紊乱特征分析。采用气相色谱-质谱法测定血清代谢组学谱。

结果与结论

共发现 59 种差异代谢物。B1 与 C 相比有 28 种差异代谢物,B2 与 C 相比有 32 种差异代谢物,B3 与 C 相比有 25 种差异代谢物。其中,棕榈酸、胆固醇、肌醇、D-阿洛酮糖、1,5-脱水-D-山梨醇、1-单棕榈酸甘油酯、1-单硬脂酸甘油酯、甘油-1-磷酸、苹果酸和柠檬酸是 B1 与 C、B2 与 C 和 B3 与 C 之间共同的差异代谢物,与不饱和脂肪酸的生物合成、柠檬酸循环等有关。此外,9 个生物标志物组合可以很好地诊断 PCOS 中的 HA 和 IR。在发现阶段,它们的受试者工作特征曲线下面积为 0.8511-1.000,验证集中的预测值为 90%-92%。结果表明,差异代谢物可以反映 PCOS 的潜在发病机制,并可作为 HA 和 IR 互补诊断 PCOS 的生物标志物。

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