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Updated: May 12, 2025

Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome
Published on: February 24, 2023
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.
Purpose:
To screen drug targets of ovarian aging from a genetic perspective.
Methods:
Systematic analyses were conducted with cis-expression quantitative trait loci data of druggable genes extracted as instrument variables. Summary statistics were from large genome-wide association studies for age at menopause. The following colocalization analysis was utilized to examine whether identified genes and ovarian aging shared causal variants. Furthermore, clinical validation was conducted by comparing expression of identified genes in granulosa cells from women with normal or diminished ovarian reserve (DOR) who went through in vitro fertilization (IVF) and by evaluating correlation of targeted gene expression with ovarian function and IVF outcomes. Moreover, single-nuclear RNA (snRNA) seq and drug database were analyzed to find target cells within the ovary and potential drugs targeting identified genes.
Results:
Systematic analyses identified five therapeutic targets of ovarian aging, including four protective factors (BRCA1, KLHL18, PNP, SRPK1) and one risk factor (PDIA3). The change in expression level of four protective factors has been verified in clinical validation. Particularly, both BRCA1 and SRPK1 have been downregulated among advanced-aged women with DOR and were positively correlated with anti-Müllerian hormone and antral follicle count. Specific target cells and potential small molecule targeted drugs of these genes were identified through snRNA analysis and searching in the drug database.
Conclusions:
By systematic genetic analyses combined with clinical validation, we identified five potential druggable genes for ovarian aging, providing theoretical basis and promising direction of therapeutic genetic targets for ovarian aging in the future.
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.
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