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采用多平台代谢组学技术鉴定多囊卵巢综合征女性的代谢特征。

Identification of the metabolic fingerprints in women with polycystic ovary syndrome using the multiplatform metabolomics technique.

机构信息

Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.

Department of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland.

出版信息

J Steroid Biochem Mol Biol. 2019 Feb;186:176-184. doi: 10.1016/j.jsbmb.2018.10.012. Epub 2018 Oct 27.

DOI:10.1016/j.jsbmb.2018.10.012
PMID:30670174
Abstract

In addition to chronic anovulation and clinical signs of hyperandrogenism women with polycystic ovary syndrome (PCOS) are insulin resistant and therefore, develop central obesity with its long term consequences such as dyslipidaemia, hypertension, atherosclerosis and type 2 diabetes mellitus (T2DM), which all lead to the development of cardiovascular disease (CVD). Due to the polysymptomatic nature of this syndrome and lack of consensus on its diagnostic criteria there is a strong need of finding a reliable biochemical or molecular marker, which would facilitate making the accurate diagnosis of PCOS. Therefore, the aim of our study was to perform a metabolomics analysis with the use of two complementary techniques: gas chromatography and liquid chromatography coupled with mass spectrometry, of the serum samples from women with PCOS (n = 30) and to compare them with healthy age and BMI matched controls (n = 30). Obtained results were subjected to one-dimensional statistical analysis (student's t-test or its non-parametric equivalent U Mann-Whitney test) and multivariate statistical analysis (the principal component analysis [PCA], variable importance into projection [VIP] and selectivity ratio [SR]). The results of our study showed that women with PCOS are characterised by metabolic disorders of the amino acids, carbohydrates, steroid hormones, lipids and purines. Compared to control subjects, women with PCOS had increased serum levels of phospholipids, aromatic amino acids, organic acids, hormones and sphinganine and decreased total cholesterol. Among the identified compounds, total cholesterol, phenylalanine and dehydroepiandrosterone sulfate, uric and lactic acid were the compounds with the strongest discriminating power.

摘要

除了慢性无排卵和高雄激素血症的临床症状外,多囊卵巢综合征(PCOS)患者还存在胰岛素抵抗,因此会发展为中心性肥胖,长期后果包括血脂异常、高血压、动脉粥样硬化和 2 型糖尿病(T2DM),所有这些都会导致心血管疾病(CVD)的发生。由于该综合征具有多症状的性质,并且缺乏其诊断标准的共识,因此非常需要寻找一种可靠的生化或分子标志物,以方便对 PCOS 进行准确诊断。因此,我们的研究目的是使用两种互补技术:气相色谱法和液相色谱法-质谱联用,对多囊卵巢综合征患者(n = 30)的血清样本进行代谢组学分析,并将其与健康年龄和 BMI 匹配的对照组(n = 30)进行比较。获得的结果进行了一维统计分析(学生 t 检验或其非参数等效 U 曼-惠特尼检验)和多元统计分析(主成分分析 [PCA]、变量重要性投影 [VIP] 和选择性比 [SR])。我们的研究结果表明,多囊卵巢综合征患者存在氨基酸、碳水化合物、类固醇激素、脂质和嘌呤代谢紊乱。与对照组相比,多囊卵巢综合征患者的血清磷脂、芳香族氨基酸、有机酸、激素和神经鞘氨醇水平升高,总胆固醇水平降低。在鉴定出的化合物中,总胆固醇、苯丙氨酸和硫酸脱氢表雄酮、尿酸和乳酸是具有最强区分能力的化合物。

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