Please use this identifier to cite or link to this item: doi:10.22028/D291-37951
Title: Plasma Metabolome Alterations Discriminate between COVID-19 and Non-COVID-19 Pneumonia
Author(s): 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
Language: English
Title: Metabolites
Volume: 12
Issue: 11
Publisher/Platform: MDPI
Year of Publication: 2022
Free key words: COVID-19
non-COVID-19 pneumonia
metabolic profiling
multivariate statistics
machine learning
mass spectrometry
community-acquired pneumonia
system biology
DDC notations: 610 Medicine and health
Publikation type: Journal Article
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 nonCOVID-19 pneumonia.
DOI of the first publication: 10.3390/metabo12111058
Link to this record: urn:nbn:de:bsz:291--ds-379512
ISSN: 2218-1989
Date of registration: 11-Nov-2022
Description of the related object: Supplementary Materials
Related object:
Faculty: M - Medizinische Fakultät
Department: M - Anästhesiologie
M - Innere Medizin
Professorship: M - Prof. Dr. Robert Bals
M - Prof. Dr. Thomas Volk
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
File Description SizeFormat 
metabolites-12-01058.pdf1,89 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons