Open AccessMetabolite reanalysis revealed potential biomarkers for COVID-19: a potential link with immune response
Author(s) -
Xin Chen,
Mingli Gu,
Tengda Li,
Yu 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.