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全蛋白质组孟德尔随机化和功能研究揭示多囊卵巢综合征的治疗靶点。

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

作者信息

Ni Feida, Wang Feixia, Sun Jing, Tu Mixue, Chen Jianpeng, Shen Xiling, Ye Xiaohang, Chen Ruixue, Liu Yifeng, Sun Xiao, Chen Jianhua, Li Xue, Zhang Dan

机构信息

Key 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.

Key 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.

出版信息

Am J Hum Genet. 2024 Dec 5;111(12):2799-2813. doi: 10.1016/j.ajhg.2024.10.008. Epub 2024 Nov 13.

DOI:10.1016/j.ajhg.2024.10.008
PMID:39541979
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC11639085/
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.

摘要

多囊卵巢综合征(PCOS)是一种影响全球很大一部分女性的内分泌综合征。这项蛋白质基因组学和功能研究旨在揭示PCOS的候选治疗靶点。我们使用两样本孟德尔随机化分析全面研究了循环蛋白与PCOS之间的因果关联。顺式蛋白质定量性状位点来自六项关于血浆蛋白质组的全基因组关联研究(GWAS)。与PCOS的遗传关联来自大规模GWAS荟萃分析、芬兰基因队列和英国生物银行。进行共定位分析以确定候选蛋白的因果作用优先级。蛋白质-蛋白质相互作用(PPI)和药物可及性评估评估了候选蛋白的药物可及性。我们评估了PCOS患者个体和小鼠模型中一级和二级候选蛋白的富集情况,并探索了已鉴定药物靶点的潜在应用。65种蛋白质的遗传预测水平与PCOS风险相关,其中30种蛋白质水平升高,35种蛋白质水平降低与更高的易感性相关。PPI分析表明,促卵泡激素β亚基(FSHB)、骨膜蛋白(POSTN)、结缔组织生长因子(CCN2)和CXC趋化因子配体11(CXCL11)与当前PCOS药物的靶点相互作用。针对20种蛋白质的80种药物显示出作为PCOS治疗靶点重新利用的潜力。在PCOS患者的颗粒细胞和血浆以及脱氢表雄酮(DHEA)诱导的PCOS小鼠模型的血浆和卵巢中,脯氨酰羟化酶1(EGLN1)水平升高。作为一种EGLN1抑制剂,在PCOS小鼠模型中给予罗沙司他阐明了EGLN1-缺氧诱导因子1α(HIF1α)-铁死亡轴在诱导PCOS中的作用,并验证了其在PCOS中的治疗效果。我们的研究确定了与PCOS风险因果相关的候选蛋白,并表明靶向EGLN1提供了一种有前景的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/85a44a0f8fc3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/af44fe012512/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/d41620aeaa82/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/816f14a48def/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/11eca00b78b7/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/85a44a0f8fc3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/af44fe012512/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/d41620aeaa82/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/816f14a48def/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/11eca00b78b7/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d96/11639085/85a44a0f8fc3/gr5.jpg

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