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用于识别格雷夫斯病和格雷夫斯眼病治疗靶点的遗传和血浆蛋白质组学方法。

Genetic and Plasma Proteomic Approaches to Identify Therapeutic Targets for Graves' Disease and Graves' Ophthalmopathy.

作者信息

Ke Chenxin, Yu Yuefeng, Li Jiang, Yu Yuetian, Sun Ying, Wang Yuying, Wang Bin, Lu Yingli, Tang Mengjun, Wang Ningjian, Chen Yi

机构信息

Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.

Orthopedic Department, Taizhou Hospital of Zhejiang Province, Zhejiang University, Taizhou, People's Republic of China.

出版信息

Immunotargets Ther. 2025 Feb 7;14:87-98. doi: 10.2147/ITT.S494692. eCollection 2025.

Abstract

BACKGROUND

The blood proteome is a major source of biomarkers and therapeutic targets. We aimed to identify the causal proteins and potential targets for Graves' disease (GD) and Graves' ophthalmopathy (GO) via systematic genetic analyses.

METHODS

Genome-wide association studies (GWASs) on the UK Biobank- Pharma Proteomics Project (UKB-PPP) collected 2923 Olink proteins from 54,219 participants. We conducted a proteome-wide Mendelian randomization (MR) study with cis-pQTLs to identify candidate proteins for GD and GO risk. Colocalization analysis and the Heidi test were used to examine whether the identified proteins and diseases shared the same variant. More proteins with potential causal associations were identified in Summary-data-based MR (SMR) analyses using trans-pQTLs. Then, downstream analyses were performed to detect protein interactions, gene function, cell type-specific expression and druggable information.

RESULTS

This study genetically predicted levels of 62 plasma proteins were associated with GD risk. Four proteins (CD40, TINAGL1, GMPR and CXCL10) were prioritized with the evidence of sharing the same variants with GD. Specifically, some proteins had potential associations with GD with trans-pQTLs mapping in CD40. The four prioritized protein-coding genes were mainly enriched in the regulation of apoptotic and death processes. In addition, GMPR was associated with both GO and GD in a consistent direction. BTN1A1 and FCRL1 were prioritized as the causal proteins for GO onset and were not associated with GD.

CONCLUSION

By synthesizing proteomic and genetic data, we identified several protein biomarkers for GD, with one linked to both GD and GO and two other protein biomarkers specific to GO onset, which provides valuable insights into the etiology and potential therapeutic targets for the two diseases.

摘要

背景

血液蛋白质组是生物标志物和治疗靶点的主要来源。我们旨在通过系统的遗传分析确定格雷夫斯病(GD)和格雷夫斯眼病(GO)的因果蛋白和潜在靶点。

方法

对英国生物银行-制药蛋白质组学项目(UKB-PPP)进行全基因组关联研究(GWAS),从54219名参与者中收集了2923种Olink蛋白。我们进行了一项全蛋白质组孟德尔随机化(MR)研究,使用顺式pQTL来确定GD和GO风险的候选蛋白。共定位分析和Heidi检验用于检查所鉴定的蛋白质和疾病是否共享相同的变异。在使用反式pQTL的基于汇总数据的MR(SMR)分析中,鉴定出了更多具有潜在因果关联的蛋白质。然后,进行下游分析以检测蛋白质相互作用、基因功能、细胞类型特异性表达和可成药信息。

结果

本研究通过基因预测发现62种血浆蛋白水平与GD风险相关。四种蛋白(CD40、TINAGL1、GMPR和CXCL10)因与GD共享相同变异的证据而被优先考虑。具体而言,一些蛋白通过CD40中的反式pQTL映射与GD存在潜在关联。这四个优先考虑的蛋白质编码基因主要富集于凋亡和死亡过程的调控。此外,GMPR在GO和GD中呈现一致方向的关联。BTN1A1和FCRL1被确定为GO发病的因果蛋白,与GD无关。

结论

通过整合蛋白质组学和遗传数据,我们鉴定出了几种GD的蛋白质生物标志物,其中一种与GD和GO均相关,另外两种是GO发病特有的蛋白质生物标志物,这为这两种疾病的病因学和潜在治疗靶点提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/084e/11812558/88a6fa8b190f/ITT-14-87-g0001.jpg

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