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ORIGINAL ARTICLE
Year : 2018  |  Volume : 131  |  Issue : 8  |  Page : 945-949

Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry


1 Department of Obstetrics and Gynecology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
2 Department of Obstetrics and Gynecology, Maternal and Child Health Hospital of Hunan Province, Changsha, Hunan 410008, China

Correspondence Address:
Dr. Fu-Fan Zhu
Department of Obstetrics and Gynecology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0366-6999.229899

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Background: Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, and it's diagnosis is difficult. The aim of this study was to investigate the metabolic profiles of PCOS patients by analyzing urine samples and identify useful biomarkers for diagnosis of PCOS. Methods: This study was carried out in the Department of Obstetrics and Gynecology of the Maternal and Child Health Hospital of Hunan Province from December 2014 to July 2016. In this study, the urine samples of 21 women with PCOS and 16 healthy controls were assessed through gas chromatography-mass spectrometry to investigate the urine metabolite characteristics of PCOS and identify useful biomarkers for the diagnosis of this disorder. The Student's t-test and rank sum test were applied to validate the statistical significance of the between the two groups. Results: In total, 35 urine metabolites were found to be significantly different between the PCOS patients and the controls. In particular, a significant increase in the levels of lactose (10.01 [0,13.99] mmol/mol creatinine vs. 2.35 [0.16, 3.26] mmol/mol creatinine, P = 0.042), stearic acid (2.35 [1.47, 3.14] mmol/mol creatinine vs. 0.05 [0, 0.14] mmol/mol creatinine, P < 0.001), and palmitic acid (2.13 [1.07, 2.79] mmol/mol creatinine vs. 0 [0, 0] mmol/mol creatinine, P < 0.001) and a decrease in the levels of succinic acid (0 [0, 0] mmol/mol creatinine vs. 38.94 [4.16, 51.30] mmol/mol creatinine, P < 0.001) were found in the PCOS patients compared with the controls. It was possible to cluster the PCOS patients and the healthy controls into two distinct regions based on a principal component analysis model. Of the differentially expressed metabolites, four compounds, including stearic acid, palmitic acid, benzoylglycine, and threonine, were selected as potential biomarkers. Conclusions: This study offers new insight into the pathogenesis of PCOS, and the discriminating urine metabolites may provide a prospect for the diagnosis of PCOS.

 

 Abstract in Chinese

基于气相色谱质谱技术鉴定多囊卵巢综合征患者尿液代谢组学的潜在生物标志物

摘要

背景:多囊卵巢综合征(PCOS)是一种复杂的内分泌代谢疾病,诊断困难。本试验旨在通过分析PCOS患者尿液样本的代谢谱,来鉴定用于诊断PCOS的生物标志物。
方法:本研究于2014年12月至2016年7月在湖南省妇幼保健院妇产科进行。本研究采用气相色谱质谱联用技术对21名PCOS女性和16名健康对照者的尿液进行了检测,以研究其尿代谢物特征并鉴定用于诊断该病的有用的生物标记物。采用两独立样本t检验及秩和检验比较两组间的差别。
结果:PCOS患者与对照组共有35种尿代谢物存在显着性差异。与对照相比,PCOS患者中乳糖(10.01 (0.00, 13.99)mmol/mol肌酐比2.35 (0.16, 3.26)mmol/mol肌酐, P = 0.042),硬脂酸(2.35 (1.47, 3.14)mmol/mol肌酐比0.05 (0.00, 0.14)mmol/mol肌酐, P <0.001),软脂酸(2.13 (1.07, 2.79)mmol/mol肌酐比0.05 (0.00, 0.14)mmol/mol肌酐, P <0.001)等水平显著增加,同时琥珀酸水平(0.00 (0.00,0.00)mmol/mol肌酐比38.94(4.16, 51.30)mmol/mol肌酐, P <0.001)降低。基于主成分分析模型,可以将PCOS患者和健康对照聚类为两个不同的区域。在差异表达的代谢物中,硬脂酸,棕榈酸,苯甲酰甘氨酸和苏氨酸四种化合物为潜在的生物标志物。
结论:我们的研究结果为PCOS的发病机制提供了新的依据,并且检测出的尿代谢物可能有助于PCOS的诊断。



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