Plasma MERTK is causally associated with infection mortality

IF 14.3 1区 医学 Q1 INFECTIOUS DISEASES Journal of Infection Pub Date : 2024-09-04 DOI:10.1016/j.jinf.2024.106262
{"title":"Plasma MERTK is causally associated with infection mortality","authors":"","doi":"10.1016/j.jinf.2024.106262","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Infectious diseases are a major cause of mortality in spite of existing public health, anti-microbial and vaccine interventions. We aimed to define plasma proteomic associates of infection mortality and then apply Mendelian randomisation (MR) to yield biomarkers that may be causally associated.</p></div><div><h3>Methods</h3><p>We used UK Biobank plasma proteomic data to associate 2923 plasma proteins with infection mortality before 31st December 2019 (240 events in 52,520 participants). Since many plasma proteins also predict non-infection mortality, we focussed on those associated with &gt;1.5-fold risk of infection mortality in an analysis excluding survivors. Protein quantitative trait scores (pQTS) were then used to identify whether genetically predicted protein levels also associated with infection mortality. To conduct Two Sample MR, we performed a genome-wide association study (GWAS) of infection mortality using UK Biobank participants without plasma proteomic data (n = 363,953 including 984 infection deaths).</p></div><div><h3>Findings</h3><p>After adjusting for clinical risk factors, 1142 plasma proteins were associated with risk of infection mortality (false discovery rate &lt;0.05). 259 proteins were associated with &gt;1.5-fold increased risk of infection versus non-infection mortality. Of these, we identified genetically predicted increasing MERTK concentration was associated with increased risk of infection mortality. MR supported a causal association between increasing plasma MERTK protein and infection mortality (odds ratio 1.46 per unit; 95% CI 1.15- 1.85; p = 0.002).</p></div><div><h3>Conclusion</h3><p>Plasma MERTK is causally associated with infection mortality and warrants exploration as a potential therapeutic target.</p></div>","PeriodicalId":50180,"journal":{"name":"Journal of Infection","volume":null,"pages":null},"PeriodicalIF":14.3000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0163445324001968/pdfft?md5=63cb4a714a6a9cfc30b449602c92d717&pid=1-s2.0-S0163445324001968-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0163445324001968","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Infectious diseases are a major cause of mortality in spite of existing public health, anti-microbial and vaccine interventions. We aimed to define plasma proteomic associates of infection mortality and then apply Mendelian randomisation (MR) to yield biomarkers that may be causally associated.

Methods

We used UK Biobank plasma proteomic data to associate 2923 plasma proteins with infection mortality before 31st December 2019 (240 events in 52,520 participants). Since many plasma proteins also predict non-infection mortality, we focussed on those associated with >1.5-fold risk of infection mortality in an analysis excluding survivors. Protein quantitative trait scores (pQTS) were then used to identify whether genetically predicted protein levels also associated with infection mortality. To conduct Two Sample MR, we performed a genome-wide association study (GWAS) of infection mortality using UK Biobank participants without plasma proteomic data (n = 363,953 including 984 infection deaths).

Findings

After adjusting for clinical risk factors, 1142 plasma proteins were associated with risk of infection mortality (false discovery rate <0.05). 259 proteins were associated with >1.5-fold increased risk of infection versus non-infection mortality. Of these, we identified genetically predicted increasing MERTK concentration was associated with increased risk of infection mortality. MR supported a causal association between increasing plasma MERTK protein and infection mortality (odds ratio 1.46 per unit; 95% CI 1.15- 1.85; p = 0.002).

Conclusion

Plasma MERTK is causally associated with infection mortality and warrants exploration as a potential therapeutic target.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
血浆 MERTK 与感染死亡率存在因果关系。
背景:尽管已有公共卫生、抗微生物和疫苗干预措施,但传染病仍是导致死亡的主要原因。我们的目的是确定与感染死亡率相关的血浆蛋白质组,然后应用孟德尔随机化(MR)方法得出可能存在因果关系的生物标志物:我们利用英国生物库血浆蛋白质组数据,将2923种血浆蛋白质与2019年12月31日前的感染死亡率联系起来(52520名参与者中的240起事件)。由于许多血浆蛋白也能预测非感染死亡率,因此在排除幸存者的分析中,我们将重点放在与感染死亡风险>1.5倍相关的血浆蛋白上。然后使用蛋白质定量性状评分(pQTS)来确定基因预测的蛋白质水平是否也与感染死亡率相关。为了进行两个样本 MR,我们利用没有血浆蛋白质组数据的英国生物库参与者(n=363,953,包括 984 例感染死亡病例)对感染死亡率进行了全基因组关联研究(GWAS):在对临床风险因素进行调整后,1,142种血浆蛋白与感染死亡风险相关(感染与非感染死亡风险的误发现率增加1.5倍)。其中,我们发现基因预测的 MERTK 浓度增加与感染死亡风险增加有关。MR支持血浆MERTK蛋白增加与感染死亡率之间的因果关系(每单位的几率比1.46;95% CI 1.15- 1.85;P=0.002):结论:血浆 MERTK 与感染死亡率存在因果关系,值得将其作为潜在的治疗靶点进行研究。
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 去求助
来源期刊
Journal of Infection
Journal of Infection 医学-传染病学
CiteScore
45.90
自引率
3.20%
发文量
475
审稿时长
16 days
期刊介绍: The Journal of Infection publishes original papers on all aspects of infection - clinical, microbiological and epidemiological. The Journal seeks to bring together knowledge from all specialties involved in infection research and clinical practice, and present the best work in the ever-changing field of infection. Each issue brings you Editorials that describe current or controversial topics of interest, high quality Reviews to keep you in touch with the latest developments in specific fields of interest, an Epidemiology section reporting studies in the hospital and the general community, and a lively correspondence section.
期刊最新文献
Clinical Profile of Herpes Zoster-related Hospitalizations and Complications: A French Population-Based Database Study. Genomic analysis confirmed the importation of first mPox Clade Ib case in Kerala, India from Dubai, UAE. Characterization of a novel HIV-1 second-generation circulating recombinant form (CRF172_0755) among men who have sex with men in China. Near real-time severe acute respiratory illness surveillance characterising influenza and COVID-19 epidemiology in hospitalised adults, 2021-22 Global Meningococcal Initiative: Insights on antibiotic resistance, control strategies and advocacy efforts in Western Europe.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1