Metabolite reanalysis revealed potential biomarkers for COVID-19: a potential link with immune response.

Xin Chen, Mingli Gu, Tengda Li, Yi Sun

Journal: Future microbiology 2021;16():577-588

PMID: 33973485

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Abstract

To understand the pathological progress of COVID-19 and to explore the potential biomarkers. The COVID-19 pandemic is ongoing. There is metabolomics research about COVID-19 indicating the rich information of metabolomics is worthy of further data mining. We applied bioinformatics technology to reanalyze the published metabolomics data of COVID-19. Benzoate, β-alanine and 4-chlorobenzoic acid were first reported to be used as potential biomarkers to distinguish COVID-19 patients from healthy individuals; taurochenodeoxycholic acid 3-sulfate, glucuronate and N,N,N-trimethyl-alanylproline betaine TMAP are the top classifiers in the receiver operating characteristic curve of COVID-severe and COVID-nonsevere patients. These unique metabolites suggest an underlying immunoregulatory treatment strategy for COVID-19.

Address: Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.; Princeton High School, Princeton, NJ 08540, USA.; Department of Laboratory Diagnosis, Changhai Hospital, Navy Military Medical University, Shanghai, 200433, China.; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.

DOI: 10.2217/fmb-2021-0047

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MeSH Terms: Benzoates, Biomarkers, COVID-19, Chlorobenzoates, Chromatography, Liquid, Computational Biology, Glucuronic Acid, Humans, Mass Spectrometry, Metabolome, Metabolomics, Nuclear Magnetic Resonance, Biomolecular, SARS-CoV-2, Taurochenodeoxycholic Acid, beta-Alanine