Nightingale Health Plc, Helsinki, Finland.
Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands.
Elife. 2021 May 4;10:e63033. doi: 10.7554/eLife.63033.
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.
低水平炎症标志物与严重传染病易感性相关,即使在疾病发病前测量也是如此。我们研究了通过核磁共振(NMR)光谱测量的代谢生物标志物是否与严重肺炎(2507 例住院或致命病例)和严重 COVID-19(652 例住院病例)的易感性相关,这些研究对象是来自英国生物银行的 105146 名一般健康个体,其血液样本采集于 2007-2010 年。代谢生物标志物关联的总体特征对于严重肺炎和严重 COVID-19 的风险是相似的。由 25 种蛋白质、脂肪酸、氨基酸和脂质组成的多生物标志物评分与严重 COVID-19 的易感性增强同样相关(最高五分位数与最低五分位数相比,优势比 2.9[95%CI 2.1-3.8]),以及血样采集后 7-11 年发生的严重肺炎事件(2.6[1.7-3.9])。然而,对于那些多生物标志物评分水平升高的人,在采血后 2 年内发生严重肺炎的风险比长期风险(8.0[4.1-15.6])高出四倍以上。如果这些关于采血后最初几年内严重肺炎易感性增加的假设性发现也适用于严重 COVID-19,那么代谢生物标志物分析可能有潜力补充现有的高危个体识别工具。这些结果为代谢生物标志物如何反映一般人群中严重 COVID-19 和其他感染的易感性提供了新的分子理解。