Metabolite Reanalysis Revealed Potential Biomarkers for COVID-19: A Potential Link with Immune Response | Zendy

Xin Chen | Zendy; Mingli Gu | Zendy; Tengda Li | Zendy; Yi Sun | Zendy

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Metabolite Reanalysis Revealed Potential Biomarkers for COVID-19: A Potential Link with Immune Response

Author(s) -

Xin Chen,

Mingli Gu,

Tengda Li,

Yi Sun

Publication year - 2021

Publication title -

future microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.797

H-Index - 82

eISSN - 1746-0921

pISSN - 1746-0913

DOI - 10.2217/fmb-2021-0047

Subject(s) - metabolomics , covid-19 , glucuronate , metabolite , receiver operating characteristic , immune system , pandemic , biology , medicine , computational biology , chemistry , bioinformatics , disease , biochemistry , immunology , infectious disease (medical specialty)

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.

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