Screening target genes for the treatment of PCOS via analysis of single-cell sequencing data

Zhenzhen Lu1, Chunyan Chen1, Ying Gao1

  • 1Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Annals of Medicine
|October 26, 2022
PubMed
Abstract

Insights

This study identifies key genes, PGR, SIRT1, and ADAMTS1, crucial for treating Polycystic Ovary Syndrome (PCOS). Combining oral contraceptives with insulin sensitizers shows significant improvement in PCOS patients.

Area of Science:

  • Reproductive Biology
  • Genomics
  • Pharmacology

Background:

  • Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting female reproduction.
  • Identifying specific target genes and effective therapeutic drugs for PCOS pathogenesis is crucial.

Purpose of the Study:

  • To identify target genes and potential therapeutic drugs for Polycystic Ovary Syndrome (PCOS) using bioinformatics.
  • To analyze single-cell sequencing data to understand oocyte quality and PCOS development.

Main Methods:

  • Utilized single-cell sequencing data from 34 oocytes obtained from the GEO database.
  • Performed primary screening, staging, functional analysis, and identified hub differentially expressed genes (DEGs).
  • Screened for relevant drugs using the Drug-Gene Interaction Database and analyzed clinical data.

Main Results:

  • Oxidative phosphorylation, insulin resistance, and ovulation disorders are pivotal in oocyte development.
  • Identified PGR, SIRT1, and ADAMTS1 as hub DEGs, found to be downregulated in oocytes and pregnancy.
  • Clinical data confirmed oral contraceptives and insulin sensitizers as effective PCOS treatments.

Conclusions:

  • PGR, SIRT1, and ADAMTS1 are potential biomarkers for PCOS treatment.
  • A combination of insulin sensitizers and oral contraceptives significantly improves PCOS.
  • This study presents a novel bioinformatics approach for identifying PCOS therapeutic targets.