Bioinformatics analysis of the molecular mechanism of obesity in polycystic ovary syndrome.
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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 patients and healthy controls. The gene CHRDL1 was found to be in linear regression with the BMI index in PCOS patients (p = 0.0358), but such a difference was not found in healthy controls (p = 0.2487). The expression of CHRDL1 was significantly higher in obesity PCOS cases than the BMI matched healthy controls (p = 0.0415). Further enrichment research demonstrated the CHRDL1 might function as an inhibitor of the BMP4 or IGF1 signalling.Conclusion
In summary, the present study identified CHRDL1 as a candidate gene responsible for the obesity of PCOS patients.
SUBMITTER: Zhou J
PROVIDER: S-EPMC8148487 | biostudies-literature |
REPOSITORIES: biostudies-literature
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