Evidence map›Paper›PMID 42204731›Full record

ArticleGenome biology2026

Multi-omics pleiotropic association analyses reveal functionally relevant genes and druggable pathways for ovarian aging.

Xuan Lian, Shuang Song, Chen Lou, Ming Zhu, Yan Li, Wenjian Li, Xintong Jiang, Guiquan Wang, Haiyan Yang, Lin Wang and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Xuan Lian *Reproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Shuang Song *State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Chen Lou *Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, The First Clinical Medical College (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China.
Ming Zhu *Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, The First Clinical Medical College (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China.
Yan Li *Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, The First Clinical Medical College (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China.
Wenjian Li *Institute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Xintong JiangReproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, The First Clinical Medical College (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China.
Guiquan WangDepartment of Reproductive Medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China.
Haiyan YangReproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, The First Clinical Medical College (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China.
Lin WangReproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Liying HeReproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Yunlong MaDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Xi DongReproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Yijie ChenDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hsun-Ming ChangDepartment of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan.
Wencheng ZhuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Jia WangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 201102, China. wang_jia@fudan.edu.cn.ORCID http://orcid.org/0000-0002-2343-4755
Yang YuState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. yuyang5012@hotmail.com.ORCID http://orcid.org/0000-0002-4310-1966
Yang WuInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China. yang.wu@wchscu.edu.cn.ORCID http://orcid.org/0000-0002-0128-7280
Yue ZhaoState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. zhaoyue0630@163.com.ORCID http://orcid.org/0000-0002-3016-9654
Liangshan MuReproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China. mu.liangshan@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0003-2498-3825

Funding

Fundamental Research Funds for the Central Universities ZYYC24006National Key Research and Development Program of China 2024YFC2706600National Natural Science Foundation of China 82288102National Natural Science Foundation of China 82522038Natural Science Foundation of Beijing Municipality Z230013Peking University Third Hospital BYSY2022043
6 · The paper itself

Abstract

backgroundOvarian aging, marked by the gradual decline in both the number and quality of oocytes, significantly impacts women's reproductive lifespan and overall health. However, the biological mechanisms driving ovarian aging remain poorly understood and current treatment strategies are limited.

resultsWe perform an integrative analysis using multi-omics summary data and genome-wide association studies for ovarian aging to identify molecular traits linked to ovarian aging. By applying Mendelian randomization and cross-omics association approaches, we prioritize key proteins, gene expressions, splicing events, and metabolites. Our analysis identifies conservation of key genes across species and cell types, with the mismatch repair gene MSH6 (MutS Homolog 6) emerging as a consistently prioritized candidate. Experimental validation shows that targeting DNA repair through PD-L1 (Programmed Death-Ligand 1) blockade may offer a potential therapeutic strategy to delay ovarian aging.

conclusionsThis study uncovers the multi-layered genetic and molecular architecture underlying ovarian aging. The identified molecular traits provide promising candidates for functional studies and suggest new avenues for developing therapies aimed at preserving ovarian function and preventing age-related decline.

Indexed as

AgingGenetic PleiotropyOvaryAnimalsDNA-Binding ProteinsFemaleGenome-Wide Association StudyHumansMultiomicsDNA-Binding ProteinsDNA repairMendelian randomizationMSH6Multi-omicsOvarian agingPD-L1

Identifiers

PMID42204731
PMCPMC13404307

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.