Genomics-driven integrative analysis highlights immune-related plasma proteins for psychiatric disorders.

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY
Weiming Gong, Ping Guo, Lu Liu, Ran Yan, Shuai Liu, Shukang Wang, Fuzhong Xue, Xiang Zhou, Xiubin Sun, Zhongshang Yuan
{"title":"Genomics-driven integrative analysis highlights immune-related plasma proteins for psychiatric disorders.","authors":"Weiming Gong, Ping Guo, Lu Liu, Ran Yan, Shuai Liu, Shukang Wang, Fuzhong Xue, Xiang Zhou, Xiubin Sun, Zhongshang Yuan","doi":"10.1016/j.jad.2024.10.126","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Genome-wide association studies (GWAS) have identified numerous variants associated with psychiatric disorders. However, it remains largely unknown on how GWAS risk variants contribute to psychiatric disorders.</p><p><strong>Methods: </strong>Through integrating two largest, publicly available, independent protein quantitative trait loci datasets of plasma protein and nine large-scale GWAS summary statistics of psychiatric disorders, we first performed proteome-wide association study (PWAS) to identify psychiatric disorders-associated plasma proteins, followed by enrichment analysis to reveal the underlying biological processes and pathways. Then, we conducted Mendelian randomization (MR) and Bayesian colocalization (COLOC) analyses, with both discovery and parallel replication datasets, to further identify protein-disorder pairs with putatively causal relationships. We finally prioritized the potential drug targets using Drug Gene Interaction Database.</p><p><strong>Results: </strong>PWAS totally identified 112 proteins, which were significantly enriched in biological processes relevant to immune regulation and response to stimulus including regulation of immune system process (adjusted P = 1.69 × 10<sup>-7</sup>) and response to external stimulus (adjusted P = 4.13 × 10<sup>-7</sup>), and viral infection related pathways, including COVID-19 (adjusted P = 2.94 × 10<sup>-2</sup>). MR and COLOC analysis further identified 26 potentially causal protein-disorder pairs in both discovery and replication analysis. Notably, eight protein-coding genes were immune-related, such as IRF3, CSK, and ACE, five among 16 druggable genes were reported to interact with drugs, including ACE, CSK, PSMB4, XPNPEP1, and MICB.</p><p><strong>Conclusions: </strong>Our findings highlighted the immunological hypothesis and identified potentially causal plasma proteins for psychiatric disorders, providing biological insights into the pathogenesis and benefit the development of preventive or therapeutic drugs for psychiatric disorders.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of affective disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jad.2024.10.126","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Genome-wide association studies (GWAS) have identified numerous variants associated with psychiatric disorders. However, it remains largely unknown on how GWAS risk variants contribute to psychiatric disorders.

Methods: Through integrating two largest, publicly available, independent protein quantitative trait loci datasets of plasma protein and nine large-scale GWAS summary statistics of psychiatric disorders, we first performed proteome-wide association study (PWAS) to identify psychiatric disorders-associated plasma proteins, followed by enrichment analysis to reveal the underlying biological processes and pathways. Then, we conducted Mendelian randomization (MR) and Bayesian colocalization (COLOC) analyses, with both discovery and parallel replication datasets, to further identify protein-disorder pairs with putatively causal relationships. We finally prioritized the potential drug targets using Drug Gene Interaction Database.

Results: PWAS totally identified 112 proteins, which were significantly enriched in biological processes relevant to immune regulation and response to stimulus including regulation of immune system process (adjusted P = 1.69 × 10-7) and response to external stimulus (adjusted P = 4.13 × 10-7), and viral infection related pathways, including COVID-19 (adjusted P = 2.94 × 10-2). MR and COLOC analysis further identified 26 potentially causal protein-disorder pairs in both discovery and replication analysis. Notably, eight protein-coding genes were immune-related, such as IRF3, CSK, and ACE, five among 16 druggable genes were reported to interact with drugs, including ACE, CSK, PSMB4, XPNPEP1, and MICB.

Conclusions: Our findings highlighted the immunological hypothesis and identified potentially causal plasma proteins for psychiatric disorders, providing biological insights into the pathogenesis and benefit the development of preventive or therapeutic drugs for psychiatric disorders.

基因组学驱动的综合分析突显了精神疾病的免疫相关血浆蛋白。
背景:全基因组关联研究(GWAS全基因组关联研究(GWAS)发现了许多与精神疾病相关的变异。然而,全基因组关联研究的风险变异如何导致精神疾病,目前仍是一个未知数:方法:通过整合两个最大的、可公开获得的、独立的血浆蛋白定量性状位点数据集和九个大规模精神疾病 GWAS 概要统计,我们首先进行了全蛋白质组关联研究(PWAS),以确定与精神疾病相关的血浆蛋白,然后进行了富集分析,以揭示潜在的生物学过程和通路。然后,我们利用发现数据集和平行复制数据集进行了孟德尔随机化(MR)和贝叶斯共定位(COLOC)分析,以进一步确定具有推定因果关系的蛋白质-疾病配对。最后,我们利用药物基因相互作用数据库对潜在的药物靶点进行了优先排序:PWAS共鉴定出112个蛋白质,这些蛋白质在与免疫调节和对刺激的反应相关的生物过程中明显富集,包括免疫系统过程的调节(调整后P = 1.69 × 10-7)和对外部刺激的反应(调整后P = 4.13 × 10-7),以及与病毒感染相关的通路,包括COVID-19(调整后P = 2.94 × 10-2)。在发现和复制分析中,MR 和 COLOC 分析进一步确定了 26 对潜在的因果蛋白-紊乱配对。值得注意的是,8个蛋白编码基因与免疫相关,如IRF3、CSK和ACE,16个可药用基因中有5个被报道与药物相互作用,包括ACE、CSK、PSMB4、XPNPEP1和MICB:我们的研究结果强调了免疫学假说,并发现了精神疾病的潜在致病血浆蛋白,为了解精神疾病的发病机制提供了生物学启示,有利于开发精神疾病的预防或治疗药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
期刊介绍: The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信