Identification of Candidate Lung Function-Related Plasma Proteins to Pinpoint Drug Targets for Common Pulmonary Diseases: A Comprehensive Multi-Omics Integration Analysis.

IF 2.8 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yansong Zhao, Lujia Shen, Ran Yan, Lu Liu, Ping Guo, Shuai Liu, Yingxuan Chen, Zhongshang Yuan, Weiming Gong, Jiadong Ji
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引用次数: 0

Abstract

The genome-wide association studies (GWAS) of lung disease and lung function indices suffer from challenges to be transformed into clinical interventions, due to a lack of knowledge on the molecular mechanism underlying the GWAS associations. A proteome-wide association study (PWAS) was first performed to identify candidate proteins by integrating two independent largest protein quantitative trait loci datasets of plasma proteins and four large-scale GWAS summary statistics of lung function indices (forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC and peak expiratory flow (PEF)), followed by enrichment analysis to reveal the underlying biological processes and pathways. Then, with a discovery dataset, we conducted Mendelian randomization (MR) and Bayesian colocalization analyses to select potentially causal proteins, followed by a replicated MR analysis with an independent dataset. Mediation analysis was also performed to explore the possible mediating role of these indices on the association between proteins and two common lung diseases (chronic obstructive pulmonary disease, COPD and Asthma). We finally prioritized the potential drug targets. A total of 210 protein-lung function index associations were identified by PWAS, and were significantly enriched in the pulmonary fibrosis and lung tissue repair. Subsequent MR and colocalization analysis identified 59 causal protein-index pairs, among which 42 pairs were replicated. Further mediation analysis identified 3 potential pathways from proteins to COPD or asthma mediated by FEV1/FVC. The mediated proportion ranges from 68.4% to 82.7%. Notably, 24 proteins were reported as druggable targets in Drug Gene Interaction Database, among which 8 were reported to interact with drugs, including FKBP4, GM2A, COL6A3, MAPK3, SERPING1, XPNPEP1, DNER, and FER. Our study identified the crucial plasma proteins causally associated with lung functions and highlighted potential mediating mechanism underlying the effect of proteins on common lung diseases. These findings may have an important insight into pathogenesis and possible future therapies of lung disorders.

鉴定候选肺功能相关血浆蛋白以确定常见肺部疾病的药物靶点:一项全面的多组学整合分析
肺部疾病和肺功能指数的全基因组关联研究(GWAS)在转化为临床干预措施方面面临挑战,原因是缺乏对GWAS关联的分子机制的了解。研究人员首先进行了一项全蛋白质组关联研究(PWAS),通过整合两个独立的最大血浆蛋白定量性状位点数据集和四个肺功能指数(1 s内用力呼气容积(FEV1)、用力肺活量(FVC)、FEV1/FVC和呼气峰值流量(PEF))的大规模GWAS汇总统计来识别候选蛋白,然后进行富集分析以揭示潜在的生物学过程和通路。然后,利用发现数据集,我们进行了孟德尔随机化(MR)和贝叶斯共定位分析,以筛选出潜在的因果蛋白,接着利用独立数据集进行了重复的 MR 分析。我们还进行了中介分析,以探讨这些指数在蛋白质与两种常见肺部疾病(慢性阻塞性肺病和哮喘)之间可能存在的中介作用。最后,我们对潜在的药物靶点进行了优先排序。通过PWAS共鉴定出210个蛋白质-肺功能指数关联,这些关联在肺纤维化和肺组织修复中明显富集。随后的磁共振和共定位分析确定了59对因果蛋白-指数,其中42对得到了重复。进一步的中介分析发现了 3 条由 FEV1/FVC 介导的从蛋白质到慢性阻塞性肺病或哮喘的潜在途径。介导比例从 68.4% 到 82.7% 不等。值得注意的是,药物基因相互作用数据库(Drug Gene Interaction Database)中有 24 个蛋白质被报道为药物靶点,其中 8 个被报道与药物相互作用,包括 FKBP4、GM2A、COL6A3、MAPK3、SERPING1、XPNPEP1、DNER 和 FER。我们的研究发现了与肺功能相关的重要血浆蛋白,并强调了这些蛋白对常见肺部疾病影响的潜在中介机制。这些发现可能对肺部疾病的发病机制和未来可能的治疗方法有重要启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Issues in Molecular Biology
Current Issues in Molecular Biology 生物-生化研究方法
CiteScore
2.90
自引率
3.20%
发文量
380
审稿时长
>12 weeks
期刊介绍: Current Issues in Molecular Biology (CIMB) is a peer-reviewed journal publishing review articles and minireviews in all areas of molecular biology and microbiology. Submitted articles are subject to an Article Processing Charge (APC) and are open access immediately upon publication. All manuscripts undergo a peer-review process.
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