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
刚刚
超神的节奏完成签到,获得积分10
刚刚
yyyyyy发布了新的文献求助10
刚刚
无花果应助琛123采纳,获得10
刚刚
林深时见鹿完成签到,获得积分10
1秒前
2秒前
2秒前
Alice001完成签到 ,获得积分10
2秒前
2秒前
今后应助现代的手套采纳,获得10
3秒前
肥猫发布了新的文献求助10
3秒前
3秒前
hyphen完成签到,获得积分10
4秒前
心想事成完成签到,获得积分10
5秒前
王霸之氣发布了新的文献求助10
5秒前
忧郁的芒果干完成签到 ,获得积分10
5秒前
平平发布了新的文献求助10
5秒前
orixero应助乐观的雅柏采纳,获得10
6秒前
XXX发布了新的文献求助10
6秒前
7秒前
Owen应助ning采纳,获得10
8秒前
9秒前
9秒前
林深完成签到,获得积分10
9秒前
周艳鸿发布了新的文献求助10
9秒前
hhjj完成签到 ,获得积分10
10秒前
10秒前
11秒前
11秒前
Ado发布了新的文献求助10
11秒前
11秒前
科研通AI6.3应助max采纳,获得10
13秒前
13秒前
14秒前
Hello应助XXX采纳,获得10
14秒前
平平完成签到,获得积分10
14秒前
镜中永恒完成签到,获得积分10
15秒前
ruochenzu发布了新的文献求助10
15秒前
15秒前
15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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
The Cambridge Handbook of Second Language Acquisition (2nd)[第二版] 666
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6401438
求助须知:如何正确求助?哪些是违规求助? 8218640
关于积分的说明 17417283
捐赠科研通 5454189
什么是DOI,文献DOI怎么找? 2882471
邀请新用户注册赠送积分活动 1859050
关于科研通互助平台的介绍 1700744