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Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19...

Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2848826658

Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients

About this item

Full title

Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-08, Vol.18 (8), p.e0289738-e0289738

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Recently, numerous studies have reported on different predictive models of disease severity in COVID-19 patients. Herein, we propose a highly predictive model of disease severity by integrating routine laboratory findings and plasma metabolites including cytosine as a potential biomarker of COVID-19 disease severity. One model was developed and int...

Alternative Titles

Full title

Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2848826658

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2848826658

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0289738

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