Unknown

Dataset Information

0

Saliva metabolomic profile of COVID-19 patients associates with disease severity.


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 and plasma metabolites were screened in 62 COVID-19 patients and 18 non-infected controls. The COVID-19 group included 16 severe, 15 moderate, 16 mild, and 15 asymptomatic cases. Thirty-six differential metabolites were detected in COVID-19 versus control comparisons. SARS-CoV-2 induced metabolic derangement differed with infection severity. The metabolic changes were identified in saliva and plasma, however, saliva showed higher intensity of metabolic changes. Levels of saliva metabolites such as sphingosine and kynurenine were significantly different between COVID-19 infected and non-infected individuals; while linoleic acid and Alpha-ketoisovaleric acid were specifically increased in severe compared to non-severe patients. As expected, the two prognostic biomarkers of C-reactive protein and D-dimer were negatively correlated with sphingosine and 5-Aminolevulinic acid, and positively correlated with L-Tryptophan and L-Kynurenine.

Conclusion

Saliva disease-specific and severity-specific metabolite could be employed as potential COVID-19 diagnostic and prognostic biomarkers.

SUBMITTER: Saheb Sharif-Askari N 

PROVIDER: S-EPMC9589589 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Introduction</h4>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.<h4>Objectives</h4>This study aimed to investigate the utility of sali  ...[more]

Similar Datasets

2023-07-19 | GSE235986 | GEO
2023-07-19 | GSE236017 | GEO
2022-03-01 | E-MTAB-10970 | biostudies-arrayexpress
2023-07-19 | GSE235978 | GEO
| S-EPMC9094083 | biostudies-literature
| S-EPMC7734472 | biostudies-literature
| PRJNA988125 | ENA
2022-05-03 | GSE201790 | GEO
2021-07-07 | GSE161810 | GEO
| S-EPMC8557113 | biostudies-literature