Introducing Markers which are Involved in COVID-19 Disease: Severe Condition Versus Mild State, a Network Analysis

authors:

avatar Vahid Mansouri ORCID , * , avatar Mostafa Rezaei-Tavirani ORCID 1 , avatar farshad okhovatian ORCID 2 , avatar Hojjat Allah Abbaszadeh ORCID 3

Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Physiotherapy Research Center, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Laser Application in Medical Sciences Research Center, Shohada-e-Tajrish Hospital, Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Journal of Cellular & Molecular Anesthesia: Vol.6, issue 4; e149740
article type: Original Articles
DOI: https://doi.org/10.22037/jcma.v6i4.35656

how to cite: Mansouri V, Rezaei-Tavirani M, okhovatian F, Abbaszadeh H A. Introducing Markers which are Involved in COVID-19 Disease: Severe Condition Versus Mild State, a Network Analysis. J Cell Mol Anesth. 2021;6(4):e149740. https://doi.org/10.22037/jcma.v6i4.35656.

Abstract

Background: Coronavirus disease 2019 (COVID-19) had a pandemic spread worldwide. Most infected patients had a good prognosis, but some developed severe illnesses, which led to fatalities. It is urgent to define markers that reveal the severity of the disease. This study aimed to introduce the main plasma protein biomarkers involved in severe conditions versus mild infection states. Materials and Methods: A total of 91 significant differentially expressed proteins (DEPs) in the sera of the patients with the severe condition versus mild states were extracted from an original article. The protein interaction is included in a network designed via STRING database and Cytoscape software to find the critical proteins which differentiate severe conditions versus mild states. Results: A total of 6 hub nodes identified as critical target proteins were APOB, SERPINA1, CP, ORM1, HASPA8, and VW, according to the Degree value of nodes. Conclusion: The expression of different biomarkers in the sera of COVID-19 patients can be considered differential markers that separate severe conditions from mild states; however, a more thorough investigation is required. Keywords: COVID-19, Protein, Plasma, Biomarker, Network analysis ?