Bioinformatics analysis of the molecular mechanism of obesity in polycystic ovary syndrome.

ABSTRACT:

Background

Obesity is an important part of polycystic ovary syndrome (PCOS) pathologies. The present study utilized the bioinformatics method to identify the molecular mechanism of obesity status in PCOS.

Methods

Six transcriptome profiles of adipose tissue were obtained from online databases. The background correction and normalization were performed, and the DEGs were detected with the settings p < 0.05. The GO, KEGG pathway enrichment, and PPI network analysis were performed with the detected DEGs.

Results

A total of 37 DGEs were found between obesity PCOS and healthy controls, and 8 of them were tested significant in the third database. The expression patterns of the 8 detected DGEs were then measured in another two datasets based on lean/obesity PCOS patie

SUBMITTER: Zhou J 

PROVIDER: S-EPMC8148487 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature