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

Aim: To understand the pathological progress of COVID-19 and to explore the potential biomarkers. Background: 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. Methods: We applied bioinformatics technology to reanalyze the published metabolomics data of COVID-19. Results: 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. Conclusion: These unique metabolites suggest an underlying immunoregulatory treatment strategy for COVID-19.

Citation

Xin Chen, Mingli Gu, Tengda Li, Yi Sun. Metabolite reanalysis revealed potential biomarkers for COVID-19: a potential link with immune response. Future microbiology. 2021 May;16:577-588

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PMID: 33973485

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