Literature DB >> 33993223

Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders.

Md Asif Nashiry1, Shauli Sarmin Sumi1, Mohammad Umer Sharif Shohan2, Salem A Alyami3, A K M Azad4, Mohammad Ali Moni5,6.   

Abstract

Coronavirus Disease 2019 (COVID-19), although most commonly demonstrates respiratory symptoms, but there is a growing set of evidence reporting its correlation with the digestive tract and faeces. Interestingly, recent studies have shown the association of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection with gastrointestinal symptoms in infected patients but any sign of respiratory issues. Moreover, some studies have also shown that the presence of live SARS-CoV-2 virus in the faeces of patients with COVID-19. Therefore, the pathophysiology of digestive symptoms associated with COVID-19 has raised a critical need for comprehensive investigative efforts. To address this issue we have developed a bioinformatics pipeline involving a system biological framework to identify the effects of SARS-CoV-2 messenger RNA expression on deciphering its association with digestive symptoms in COVID-19 positive patients. Using two RNA-seq datasets derived from COVID-19 positive patients with celiac (CEL), Crohn's (CRO) and ulcerative colitis (ULC) as digestive disorders, we have found a significant overlap between the sets of differentially expressed genes from SARS-CoV-2 exposed tissue and digestive tract disordered tissues, reporting 7, 22 and 13 such overlapping genes, respectively. Moreover, gene set enrichment analysis, comprehensive analyses of protein-protein interaction network, gene regulatory network, protein-chemical agent interaction network revealed some critical association between SARS-CoV-2 infection and the presence of digestive disorders. The infectome, diseasome and comorbidity analyses also discover the influences of the identified signature genes in other risk factors of SARS-CoV-2 infection to human health. We hope the findings from this pathogenetic analysis may reveal important insights in deciphering the complex interplay between COVID-19 and digestive disorders and underpins its significance in therapeutic development strategy to combat against COVID-19 pandemic.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; differentially expressed genes; digestive disorders; functional enrichment; gene regulatory networks

Year:  2021        PMID: 33993223     DOI: 10.1093/bib/bbab126

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  6 in total

1.  IFNL4, ACE1, PKR, IFNG, MBL2 genetic polymorphisms and severe COVID-19: A protocol for systematic review and meta-analysis.

Authors:  Hengjia Tu; Junrong Bao
Journal:  Medicine (Baltimore)       Date:  2022-05-27       Impact factor: 1.817

Review 2.  Emerging landscape of molecular interaction networks:Opportunities, challenges and prospects.

Authors:  Gauri Panditrao; Rupa Bhowmick; Chandrakala Meena; Ram Rup Sarkar
Journal:  J Biosci       Date:  2022       Impact factor: 2.795

3.  Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic.

Authors:  Aliakbar Hasankhani; Abolfazl Bahrami; Negin Sheybani; Behzad Aria; Behzad Hemati; Farhang Fatehi; Hamid Ghaem Maghami Farahani; Ghazaleh Javanmard; Mahsa Rezaee; John P Kastelic; Herman W Barkema
Journal:  Front Immunol       Date:  2021-12-15       Impact factor: 7.561

4.  Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection.

Authors:  Utpala Nanda Chowdhury; Md Omar Faruqe; Md Mehedy; Shamim Ahmad; M Babul Islam; Watshara Shoombuatong; A K M Azad; Mohammad Ali Moni
Journal:  Comput Biol Med       Date:  2021-09-29       Impact factor: 4.589

5.  Using bioinformatics and systems biology to discover common pathogenetic processes between sarcoidosis and COVID-19.

Authors:  Lanyi Fu; Maolin Yao; Xuedong Liu; Dong Zheng
Journal:  Gene Rep       Date:  2022-03-18

6.  Bioinformatics and systems-biology analysis to determine the effects of Coronavirus disease 2019 on patients with allergic asthma.

Authors:  Hongwei Fang; Zhun Sun; Zhouyi Chen; Anning Chen; Donglin Sun; Yan Kong; Hao Fang; Guojun Qian
Journal:  Front Immunol       Date:  2022-09-23       Impact factor: 8.786

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.