Identification of differentially expressed signature genes of PCOS under vitamin D deficiency and oxidative stress: A bioinformatics Analysis

Abstract

Polycystic ovary syndrome (PCOS) is one of the most common hormonal disorders in women of reproductive age. However, there is a lack of genetic study of the internal mechanisms of PCOS. In this study we have identified core genes involved in the pathogenesis of PCOS by using bioinformatics analysis. For this study, the dataset GSE40400 was collected from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were obtained by using the R package limma. We analysed the microarray dataset GSE40400 to identify DEGs of PCOS subjects with VD deficiency under oxidative stress. After applying the available numerical expression values, we 617 novel DEGS out of which 183 up-regulated and 434 were down-regulated). Out of them 144 novel DEGS related exclusively to oxidative stress (39 up-regulated and 105 down-regulated), 39 novel DEGS related exclusively to vitamin D deficiency (12 up-regulated and 27 down-regulated) and 160 novel DEGS related exclusively to oxidative stress and vitamin D deficiency (48 up-regulated and 112 down-regulated). The functional analysis was carried out by using DAVID database and software tools for the identified up-regulated and down-regulated DEGs.