Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population

生物标志物 肺炎 医学 优势比 人口 内科学 血液取样 免疫学 生物 环境卫生 遗传学
作者
Heli Julkunen,Anna Cichońska,P. Eline Slagboom,Peter Würtz
出处
期刊:eLife [eLife Sciences Publications Ltd]
卷期号:10 被引量:203
标识
DOI:10.7554/elife.63033
摘要

Biomarkers of low-grade inflammation have been associated with susceptibility to a severe infectious disease course, even when measured prior to disease onset. We investigated whether metabolic biomarkers measured by nuclear magnetic resonance (NMR) spectroscopy could be associated with susceptibility to severe pneumonia (2507 hospitalised or fatal cases) and severe COVID-19 (652 hospitalised cases) in 105,146 generally healthy individuals from UK Biobank, with blood samples collected 2007–2010. The overall signature of metabolic biomarker associations was similar for the risk of severe pneumonia and severe COVID-19. A multi-biomarker score, comprised of 25 proteins, fatty acids, amino acids, and lipids, was associated equally strongly with enhanced susceptibility to severe COVID-19 (odds ratio 2.9 [95%CI 2.1–3.8] for highest vs lowest quintile) and severe pneumonia events occurring 7–11 years after blood sampling (2.6 [1.7–3.9]). However, the risk for severe pneumonia occurring during the first 2 years after blood sampling for people with elevated levels of the multi-biomarker score was over four times higher than for long-term risk (8.0 [4.1–15.6]). If these hypothesis generating findings on increased susceptibility to severe pneumonia during the first few years after blood sampling extend to severe COVID-19, metabolic biomarker profiling could potentially complement existing tools for identifying individuals at high risk. These results provide novel molecular understanding on how metabolic biomarkers reflect the susceptibility to severe COVID-19 and other infections in the general population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sinon完成签到,获得积分10
2秒前
2秒前
广阔天地完成签到 ,获得积分10
2秒前
无情的聪健应助Jessy畅畅采纳,获得20
2秒前
4秒前
DDDD发布了新的文献求助10
5秒前
123完成签到,获得积分10
6秒前
花海完成签到 ,获得积分10
6秒前
Ava应助自由微笑采纳,获得10
7秒前
小狗说好运来完成签到 ,获得积分10
7秒前
Ann完成签到,获得积分10
7秒前
且陶陶发布了新的文献求助10
7秒前
Destiny完成签到,获得积分10
9秒前
科研通AI6.4应助gjww采纳,获得10
9秒前
orixero应助luckybei采纳,获得10
9秒前
10秒前
10秒前
11秒前
12秒前
lyy66964193完成签到,获得积分10
13秒前
ZH完成签到 ,获得积分10
13秒前
Loeop发布了新的文献求助10
14秒前
Orange应助fengyun1990采纳,获得10
15秒前
小锤完成签到,获得积分10
15秒前
123发布了新的文献求助10
15秒前
爱听歌的夏烟完成签到,获得积分10
16秒前
zsp完成签到 ,获得积分10
16秒前
斯文败类应助zz采纳,获得10
17秒前
17秒前
希望天下0贩的0应助zz采纳,获得10
17秒前
Haibara应助yx采纳,获得10
18秒前
Alaia应助yx采纳,获得20
18秒前
Alaia应助yx采纳,获得20
18秒前
Alaia应助yx采纳,获得20
18秒前
Alaia应助yx采纳,获得20
18秒前
Alaia应助yx采纳,获得20
18秒前
Alaia应助yx采纳,获得20
18秒前
sure发布了新的文献求助10
18秒前
纪靖雁完成签到 ,获得积分10
19秒前
duduguai完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7319177
求助须知:如何正确求助?哪些是违规求助? 8934786
关于积分的说明 18940234
捐赠科研通 6977836
什么是DOI,文献DOI怎么找? 3214360
关于科研通互助平台的介绍 2382246
邀请新用户注册赠送积分活动 2193323