Metabolomic alterations in the plasma of patients with various clinical manifestations of COVID-19.

ABSTRACT:

Background

The metabolomic profiles of individuals with different clinical manifestations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have not been clearly characterized.

Methods

We performed metabolomics analysis of 166 individuals, including 62 healthy controls, 16 individuals with asymptomatic SARS-CoV-2 infection, and 88 patients with moderate (n = 42) and severe (n = 46) symptomatic 2019 coronavirus disease (COVID-19; 17 with short-term and 34 with long-term nucleic-acid test positivity). By examining differential expression, we identified candidate metabolites associated with different SARS-CoV-2 infection presentations. Functional and machine learning analyses were performed to explore the metabolites' functions and verify their candidacy

SUBMITTER: Xin Q 

PROVIDER: S-EPMC11520427 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature