Desai Ashvini, Madar Inamul Hasan, Asangani Amjad Hussain, Ssadh Hussain Al, Tayubi Iftikhar Aslam
Department of Bioinformatics, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Department of Biotechnology & Genetic Engineering and Department of Biochemistry, Bharathidasan University, Tiruchirappalli, 620024, Tamil Nadu, India.
Bioinformation. 2017 Apr 30;13(4):111-115. doi: 10.6026/97320630013111. eCollection 2017.
Polycystic ovary syndrome (PCOS) is endocrine system disease which affect women ages 18 to 44 where the women's hormones are imbalance. Recently it has been reported to occur in early age. Alteration of normal gene expression in PCOS has shown negative effects on long-term health issues. PCOS has been the responsible factor for the infertility in women of reproductive age group. Early diagnosis and treatment can improve the women's health suffering from PCOS. Earlier Studies shows correlation of PCOS upon insulin resistance with significant outcome, Current study shows the linkage between PCOS with obesity and non-obese patients. Gene expression datasets has been downloaded from GEO (control and PCOS affected patients). Normalization of the datasets were performed using R based on RMA and differentially expressed gene (DEG) were selected on the basis of p-value 0.05 followed by functional annotation of selected gene using Enrich R and DAVID. The DEGs were significantly related to PCOS with obesity and other risk factors involved in disease. The Gene Enrichment Analysis suggests alteration of genes and associated pathway in case of obesity. Current study provides a productive groundwork for specific biomarkers identification for the accurate diagnosis and efficient target for the treatment of PCOS.
多囊卵巢综合征(PCOS)是一种影响18至44岁女性的内分泌系统疾病,这类女性体内激素失衡。最近有报道称其在早年就会出现。PCOS中正常基因表达的改变已显示出对长期健康问题有负面影响。PCOS一直是育龄期女性不孕的致病因素。早期诊断和治疗可以改善患有PCOS的女性的健康状况。早期研究表明PCOS与胰岛素抵抗相关且有显著结果,当前研究显示了PCOS与肥胖及非肥胖患者之间的联系。基因表达数据集已从基因表达综合数据库(GEO,对照和PCOS患者)下载。使用基于RMA的R软件对数据集进行标准化,并基于p值0.05选择差异表达基因(DEG),随后使用Enrich R和DAVID对所选基因进行功能注释。这些差异表达基因与肥胖型PCOS以及疾病中涉及的其他风险因素显著相关。基因富集分析表明在肥胖情况下基因及相关通路发生了改变。当前研究为识别用于PCOS准确诊断的特定生物标志物以及有效治疗靶点提供了富有成效的基础。