Plasma Metabolomics and Gene Regulatory Networks Analysis Reveal the Role of Nonstructural SARS-CoV-2 Viral Proteins in Metabolic Dysregulation in COVID-19 Patients

Overview

Journal Sci Rep

Specialty Science

Date 2022 Nov 20

PMID 36404352

Authors

V A Ivanisenko

E V Gaisler

N V Basov

A D Rogachev

S V Cheresiz

T V Ivanisenko

P S Demenkov

E L Mishchenko

O P Khripko

Yu I Khripko

S M Voevoda

T N Karpenko

A J Velichko

M I Voevoda

N A Kolchanov

A G Pokrovsky

Affiliations

Soon will be listed here.

Abstract

Metabolomic analysis of blood plasma samples from COVID-19 patients is a promising approach allowing for the evaluation of disease progression. We performed the metabolomic analysis of plasma samples of 30 COVID-19 patients and the 19 controls using the high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometric detection (LC-MS/MS). In our analysis, we identified 103 metabolites enriched in KEGG metabolic pathways such as amino acid metabolism and the biosynthesis of aminoacyl-tRNAs, which differed significantly between the COVID-19 patients and the controls. Using ANDSystem software, we performed the reconstruction of gene networks describing the potential genetic regulation of metabolic pathways perturbed in COVID-19 patients by SARS-CoV-2 proteins. The nonstructural proteins of SARS-CoV-2 (orf8 and nsp5) and structural protein E were involved in the greater number of regulatory pathways. The reconstructed gene networks suggest the hypotheses on the molecular mechanisms of virus-host interactions in COVID-19 pathology and provide a basis for the further experimental and computer studies of the regulation of metabolic pathways by SARS-CoV-2 proteins. Our metabolomic analysis suggests the need for nonstructural protein-based vaccines and the control strategy to reduce the disease progression of COVID-19.

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