NDLI: Plasma Metabolome Alterations Discriminate between COVID-19 and Non-COVID-19 Pneumonia.

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Plasma Metabolome Alterations Discriminate between COVID-19 and Non-COVID-19 Pneumonia.

Content Provider	Europe PMC
Author	More, Tushar H. Mozafari, Bahareh Märtens, Andre Herr, Christian Lepper, Philipp M. Danziger, Guy Volk, Thomas Hoersch, Sabrina Krawczyk, Marcin Guenther, Katharina Hiller, Karsten Bals, Robert
Editor	Hirayama, Akiyoshi
Copyright Year	2022
Abstract	Pneumonia is a common cause of morbidity and mortality and is most often caused by bacterial pathogens. COVID-19 is characterized by lung infection with potential progressive organ failure. The systemic consequences of both disease on the systemic blood metabolome are not fully understood. The aim of this study was to compare the blood metabolome of both diseases and we hypothesize that plasma metabolomics may help to identify the systemic effects of these diseases. Therefore, we profiled the plasma metabolome of 43 cases of COVID-19 pneumonia, 23 cases of non-COVID-19 pneumonia, and 26 controls using a non-targeted approach. Metabolic alterations differentiating the three groups were detected, with specific metabolic changes distinguishing the two types of pneumonia groups. A comparison of venous and arterial blood plasma samples from the same subjects revealed the distinct metabolic effects of pulmonary pneumonia. In addition, a machine learning signature of four metabolites was predictive of the disease outcome of COVID-19 subjects with an area under the curve (AUC) of 86 ± 10%. Overall, the results of this study uncover systemic metabolic changes that could be linked to the etiology of COVID-19 pneumonia and non-COVID-19 pneumonia.
Volume Number	12
PubMed Central reference number	PMC9693035
Issue Number	11
PubMed reference number	36355140
Journal	Metabolites
e-ISSN	22181989
DOI	10.3390/metabo12111058
Language	English
Publisher	MDPI
Publisher Date	2022-11-02
Access Restriction	Open
Rights License	Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). © 2022 by the authors.
Subject Keyword	COVID-19 non-COVID-19 pneumonia metabolomics metabolic profiling multivariate statistics machine learning plasma mass spectrometry community-acquired pneumonia system biology
Content Type	Text
Resource Type	Article
Subject	Biochemistry Endocrinology, Diabetes and Metabolism Molecular Biology

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