Ontology highlight
ABSTRACT: Introduction
Coronavirus disease 2019 (COVID-19) is strongly linked to dysregulation of various molecular, cellular, and physiological processes that change abundance of different biomolecules including metabolites that may be ultimately used as biomarkers for disease progression and severity. It is important at early stage to readily distinguish those patients that are likely to progress to moderate and severe stages.Objectives
This study aimed to investigate the utility of saliva and plasma metabolomic profiles as a potential parameter for risk stratifying COVID-19 patients.Method
LC-MS/MS-based untargeted metabolomics were used to profile the changes in saliva and plasma metabolomic profiles of COVID-19 patients with different severities.Results
Saliva an
SUBMITTER: Saheb Sharif-Askari N
PROVIDER: S-EPMC9589589 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature