Investigation miRNAs that might attenuate Diabetes and PolycysticOvary Syndrome: an In-silico study

Polycystic ovary syndrome (PCOS) is a common infertility condition in reproductive-age females with creation of many cysts. The prevalence of PCOS in females was reported between ۱۵-۲۰%. Diabetes is also a prevalent malady caused by dysfunction in insulin production or insulin occupation. It was reported that ۲۷ million people ranging from ۲۰–۷۹ years of age have diabetes in ۲۰۲۱ . Diabetes is a common PCOS-associated event that contributes to initial PCOS. Defects in the many functions of proteins or gene expression are the main reason for those disorders. Based on the bioinformatics method, we selected therapeutic miRNAs against the important proteins concerning both diseases.METHODS:We primarily searched the common proteins relatives to diabetes and PCOS-related proteins in several gene-diseases databases. To discover important hub genes, we build a PPI network for common proteins achieved via Cytoscape software. Besides, we conducted an enrichment examination to assess biological pathways and processes (Gene Ontology and KEGG) by Enrichr. Next, we discover the potential connections of miRNAs therapeutic against imperative hub proteins of diabetes and PCOS. RESULTS:We recognized ۷۲۹ intersection genes connected with diabetes and PCOS. PPI network analysis exhibited ۱۰ hub genes (INS, AKT۱, ACTB, ALB, TNF, IL۶, CTNNB۱, EGFR, STAT۳, and PPARG). The biological processes conveyed by important intersection genes are mainly concerned with positive regulation of protein phosphorylation, positive regulation of gene expression, and positive regulation of intracellular signal transduction. In KEGG enrichment, the majority got involved with the FoxO, AGERAGE, and Focal adhesion signaling pathways. MiRNet analysis also showed that hsa-mir-۳۴a-۵p, hsamir-۱-۳p, and hsa-mir-۱۵۵-۵p had the highest relation with hub proteins related to two conditions. CONCLUSION:We revealed has-mir-۳۴a-۵p, hsa-mir-۱-۳p, and hsa-mir-۱۵۵-۵p could be considered as therapeutic agents against diabetes and PCOS.

کلیدواژه ها:

Diabetes ، KEGG ، Gene Ontology ، miRNA ، PCOS ، PPI network