Plasma proteome-wide Mendelian randomization reveals the association of extracellular matrix proteins with abdominal aortic aneurysm

IF 2 Q3 Medicine
Samuel Khodursky PhD , Shuai Yuan PhD , Joshua M. Spin MD, PhD , Philip S. Tsao PhD , Michael G. Levin MD , Scott M. Damrauer MD
{"title":"Plasma proteome-wide Mendelian randomization reveals the association of extracellular matrix proteins with abdominal aortic aneurysm","authors":"Samuel Khodursky PhD ,&nbsp;Shuai Yuan PhD ,&nbsp;Joshua M. Spin MD, PhD ,&nbsp;Philip S. Tsao PhD ,&nbsp;Michael G. Levin MD ,&nbsp;Scott M. Damrauer MD","doi":"10.1016/j.jvssci.2025.100290","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Abdominal aortic aneurysm (AAA) is a common and life-threatening vascular disease. Genetic studies have identified numerous risk loci, many potentially encoding plasma proteins. However, the causal effects of plasma proteins on AAAs have not been thoroughly studied. We used genetic causal inference approaches to identify plasma proteins that have a potential causal impact on AAAs.</div></div><div><h3>Methods</h3><div>Causal inference was performed using two-sample Mendelian randomization (MR). For AAAs, we utilized recently published summary statistics from a multi-population genome-wide association meta-analysis including 39,221 individuals with and 1,086,107 individuals without AAAs from 14 cohorts. We used protein quantitative trait loci (protein quantitative trait loci) identified in two large-scale plasma-proteomics studies (deCODE and UKB-PPP) to generate genetic instruments. We tested 2783 plasma proteins for possible causal effects on AAAs using two-sample MR with inverse variance weighting with common sensitivity analyses.</div></div><div><h3>Results</h3><div>MR identified 90 plasma proteins associated with AAAs at a false discovery rate &lt;0.05, with 25 supported by colocalization analysis. Among those supported by both MR and colocalization were proteins such as PCSK9 (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.2-1.4; <em>P</em> &lt; 1e-10), LTBP4 (OR, 3.4; 95% CI, 2.6-4.6; <em>P</em> &lt; 1e-10), and COL6A3 (OR, 0.6; 95% CI, 0.5-0.7; <em>P</em> &lt; 1e-6). Gene Ontology analysis revealed enrichment of proteins (extracellular matrix; OR, 7.8; <em>P</em> &lt; 1e-4), some with maximal mRNA levels in aortic tissue. Bi-directional MR suggested plasma level changes were not caused by liability to AAA itself. Colocalization analysis showed that an aortic expression quantitative trait locus for COL6A3, and a splicing quantitative trait locus for LTBP4 colocalized with their respective plasma pQTLs and AAA signals.</div></div><div><h3>Conclusions</h3><div>Our results highlight proteins and pathways with potential causal effects on AAAs, providing a foundation for future functional experiments. These findings suggest a possible causal pathway whereby genetic variation affecting extracellular matrix proteins expressed in the aortic wall cause their levels to change in blood plasma, influencing development of AAAs.</div></div>","PeriodicalId":74035,"journal":{"name":"JVS-vascular science","volume":"6 ","pages":"Article 100290"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JVS-vascular science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666350325000112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

Abdominal aortic aneurysm (AAA) is a common and life-threatening vascular disease. Genetic studies have identified numerous risk loci, many potentially encoding plasma proteins. However, the causal effects of plasma proteins on AAAs have not been thoroughly studied. We used genetic causal inference approaches to identify plasma proteins that have a potential causal impact on AAAs.

Methods

Causal inference was performed using two-sample Mendelian randomization (MR). For AAAs, we utilized recently published summary statistics from a multi-population genome-wide association meta-analysis including 39,221 individuals with and 1,086,107 individuals without AAAs from 14 cohorts. We used protein quantitative trait loci (protein quantitative trait loci) identified in two large-scale plasma-proteomics studies (deCODE and UKB-PPP) to generate genetic instruments. We tested 2783 plasma proteins for possible causal effects on AAAs using two-sample MR with inverse variance weighting with common sensitivity analyses.

Results

MR identified 90 plasma proteins associated with AAAs at a false discovery rate <0.05, with 25 supported by colocalization analysis. Among those supported by both MR and colocalization were proteins such as PCSK9 (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.2-1.4; P < 1e-10), LTBP4 (OR, 3.4; 95% CI, 2.6-4.6; P < 1e-10), and COL6A3 (OR, 0.6; 95% CI, 0.5-0.7; P < 1e-6). Gene Ontology analysis revealed enrichment of proteins (extracellular matrix; OR, 7.8; P < 1e-4), some with maximal mRNA levels in aortic tissue. Bi-directional MR suggested plasma level changes were not caused by liability to AAA itself. Colocalization analysis showed that an aortic expression quantitative trait locus for COL6A3, and a splicing quantitative trait locus for LTBP4 colocalized with their respective plasma pQTLs and AAA signals.

Conclusions

Our results highlight proteins and pathways with potential causal effects on AAAs, providing a foundation for future functional experiments. These findings suggest a possible causal pathway whereby genetic variation affecting extracellular matrix proteins expressed in the aortic wall cause their levels to change in blood plasma, influencing development of AAAs.
血浆蛋白组孟德尔随机化揭示了细胞外基质蛋白与腹主动脉瘤的关联
目的腹主动脉瘤(AAA)是一种常见的危及生命的血管疾病。基因研究已经确定了许多风险位点,其中许多可能编码血浆蛋白。然而,血浆蛋白对AAAs的因果关系尚未得到充分研究。我们使用遗传因果推断方法来鉴定对AAAs有潜在因果影响的血浆蛋白。方法采用双样本孟德尔随机化(MR)进行因果推理。对于AAAs,我们利用了最近发表的多群体全基因组关联荟萃分析的汇总统计数据,其中包括来自14个队列的39,221名AAAs患者和1,086,107名非AAAs患者。我们使用在两个大规模血浆蛋白质组学研究(deCODE和UKB-PPP)中鉴定的蛋白质数量性状位点(蛋白质数量性状位点)来生成遗传工具。我们使用双样本MR、逆方差加权和常见敏感性分析,检测了2783种血浆蛋白对AAAs的可能因果影响。结果smr共鉴定出90个与AAAs相关的血浆蛋白,错误发现率为0.05,共定位分析支持25个。MR和共定位都支持的蛋白包括PCSK9(优势比[OR], 1.3;95%置信区间[CI], 1.2-1.4;P & lt;1e-10), LTBP4 (OR, 3.4;95% ci, 2.6-4.6;P & lt;COL6A3 (OR, 0.6;95% ci, 0.5-0.7;P & lt;1 e-6)。基因本体分析显示蛋白质富集(细胞外基质;或者,7.8;P & lt;1e-4),部分主动脉组织mRNA水平最高。双向磁共振提示血浆水平变化不是由AAA本身引起的。共定位分析表明,COL6A3的主动脉表达数量性状位点和LTBP4的剪接数量性状位点与它们各自的血浆pqtl和AAA信号共定位。结论sour结果突出了与AAAs有潜在因果关系的蛋白和通路,为进一步的功能实验奠定了基础。这些发现提示了一种可能的因果途径,即影响主动脉壁表达的细胞外基质蛋白的遗传变异导致其在血浆中的水平改变,从而影响AAAs的发展。
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
CiteScore
4.20
自引率
0.00%
发文量
0
审稿时长
28 weeks
×
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:604180095
Book学术官方微信