Cargando…
Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population
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 susceptibili...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172246/ https://www.ncbi.nlm.nih.gov/pubmed/33942721 http://dx.doi.org/10.7554/eLife.63033 |
_version_ | 1783702504502984704 |
---|---|
author | Julkunen, Heli Cichońska, Anna Slagboom, P Eline Würtz, Peter |
author_facet | Julkunen, Heli Cichońska, Anna Slagboom, P Eline Würtz, Peter |
author_sort | Julkunen, Heli |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8172246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-81722462021-06-04 Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population Julkunen, Heli Cichońska, Anna Slagboom, P Eline Würtz, Peter eLife Epidemiology and Global Health 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. eLife Sciences Publications, Ltd 2021-05-04 /pmc/articles/PMC8172246/ /pubmed/33942721 http://dx.doi.org/10.7554/eLife.63033 Text en © 2021, Julkunen et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Julkunen, Heli Cichońska, Anna Slagboom, P Eline Würtz, Peter Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population |
title | Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population |
title_full | Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population |
title_fullStr | Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population |
title_full_unstemmed | Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population |
title_short | Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population |
title_sort | metabolic biomarker profiling for identification of susceptibility to severe pneumonia and covid-19 in the general population |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172246/ https://www.ncbi.nlm.nih.gov/pubmed/33942721 http://dx.doi.org/10.7554/eLife.63033 |
work_keys_str_mv | AT julkunenheli metabolicbiomarkerprofilingforidentificationofsusceptibilitytoseverepneumoniaandcovid19inthegeneralpopulation AT cichonskaanna metabolicbiomarkerprofilingforidentificationofsusceptibilitytoseverepneumoniaandcovid19inthegeneralpopulation AT slagboompeline metabolicbiomarkerprofilingforidentificationofsusceptibilitytoseverepneumoniaandcovid19inthegeneralpopulation AT wurtzpeter metabolicbiomarkerprofilingforidentificationofsusceptibilitytoseverepneumoniaandcovid19inthegeneralpopulation AT metabolicbiomarkerprofilingforidentificationofsusceptibilitytoseverepneumoniaandcovid19inthegeneralpopulation |