Evidence map›Paper›PMID 39541979›Full record

ArticleAmerican journal of human genetics2024

Proteome-wide Mendelian randomization and functional studies uncover therapeutic targets for polycystic ovarian syndrome.

Feida Ni, Feixia Wang, Jing Sun, Mixue Tu, Jianpeng Chen, Xiling Shen, Xiaohang Ye, Ruixue Chen, Yifeng Liu, Xiao Sun and 3 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

13 authors.

Feida NiKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China; First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.
Feixia WangKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Jing SunDepartment of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China.
Mixue TuKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Jianpeng ChenKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Xiling ShenKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Xiaohang YeKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Ruixue ChenKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Yifeng LiuKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Xiao SunKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China.
Jianhua ChenDepartment of Pathology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China.
Xue LiDepartment of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China. Electronic address: xueli157@zju.edu.cn.
Dan ZhangKey Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Women's Reproductive Health Laboratory of Zhejiang Province, Hangzhou, Zhejiang 310006, China; Zhejiang Provincial Clinical Research Center for Child Health, Hangzhou, Zhejiang 310006, China. Electronic address: zhangdan@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovarian syndrome (PCOS) is an endocrine syndrome that affects a large portion of women worldwide. This proteogenomic and functional study aimed to uncover candidate therapeutic targets for PCOS. We comprehensively investigated the causal association between circulating proteins and PCOS using two-sample Mendelian randomization analysis. Cis-protein quantitative trait loci were derived from six genome-wide association studies (GWASs) on plasma proteome. Genetic associations with PCOS were obtained from a large-scale GWAS meta-analysis, FinnGen cohort, and UK Biobank. Colocalization analyses were performed to prioritize the causal role of candidate proteins. Protein-protein interaction (PPI) and druggability evaluation assessed the druggability of candidate proteins. We evaluated the enrichment of tier 1 and 2 candidate proteins in individuals with PCOS and a mouse model and explored the potential application of the identified drug target. Genetically predicted levels of 65 proteins exhibited associations with PCOS risk, with 30 proteins showing elevated levels and 35 proteins showing decreased levels linked to higher susceptibility. PPI analyses revealed that FSHB, POSTN, CCN2, and CXCL11 interacted with targets of current PCOS medications. Eighty medications targeting 20 proteins showed their potential for repurposing as therapeutic targets for PCOS. EGLN1 levels were elevated in granulosa cells and the plasma of individuals with PCOS and in the plasma and ovaries of dehydroepiandrosterone (DHEA)-induced PCOS mouse model. As an EGLN1 inhibitor, administration of roxadustat in the PCOS mouse model elucidated the EGLN1-HIF1α-ferroptosis axis in inducing PCOS and validated its therapeutic effect in PCOS. Our study identifies candidate proteins causally associated with PCOS risk and suggests that targeting EGLN1 provides a promising treatment strategy.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisPolycystic Ovary SyndromeProteomeQuantitative Trait LociAnimalsDisease Models, AnimalFemaleGenetic Predisposition to DiseaseHumansMicePolymorphism, Single NucleotideProtein Interaction MapsProteomedrug targetEGLN1ferroptosisGWASMendelian randomizationplasma proteomepolycystic ovarian syndromeroxadustat

Identifiers

PMID39541979
PMCPMC11639085

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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.