Identification of potential therapeutic targeting in ovarian aging from genetic screening with clinical validation

Xiangfei Wang1, Ruolin Mao1, Rui Long1

  • 1Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Wuhan, 430030, China.

Abstract

Insights

Researchers identified five drug targets for ovarian aging using genetic analysis. BRCA1 and SRPK1 were found to be protective factors, downregulated in women with diminished ovarian reserve (DOR).

Area of Science:

  • Genetics
  • Reproductive Biology
  • Pharmacology

Background:

  • Ovarian aging is a complex biological process impacting female fertility.
  • Identifying genetic factors and druggable targets is crucial for therapeutic interventions.

Purpose of the Study:

  • To screen for drug targets associated with ovarian aging from a genetic perspective.
  • To identify potential therapeutic genetic targets for ovarian aging.

Main Methods:

  • Utilized cis-expression quantitative trait loci (cis-eQTL) data and genome-wide association studies (GWAS) for age at menopause.
  • Performed colocalization analysis to assess shared causal variants between genes and ovarian aging.
  • Conducted clinical validation using granulosa cells from women with normal or diminished ovarian reserve (DOR) undergoing in vitro fertilization (IVF).
  • Analyzed single-nuclear RNA sequencing (snRNA-seq) and drug databases to identify target cells and drugs.

Main Results:

  • Identified five therapeutic targets for ovarian aging: four protective factors (BRCA1, KLHL18, PNP, SRPK1) and one risk factor (PDIA3).
  • Clinical validation confirmed expression changes in four protective factors.
  • BRCA1 and SRPK1 were downregulated in advanced-aged women with DOR and positively correlated with anti-Müllerian hormone and antral follicle count.
  • Identified specific ovarian target cells and potential small molecule drugs for these genes.

Conclusions:

  • Systematic genetic analyses and clinical validation identified five druggable genes for ovarian aging.
  • These findings provide a theoretical basis and promising direction for future therapeutic genetic targets for ovarian aging.