Sign in
BioinformaticsMedComm – Future Medicine
Peer-reviewed journal article

Exploration of the Link Between COVID-19 and Alcoholic Hepatitis from the Perspective of Bioinformatics and Systems Biology

Tengda HuangiD, Bingxuan YuiD, Xinyi ZhouiD, Hongyuan Pan, Ao DuiD, Jincheng BaiiD, Xiaoquan LiiD, Nan JiangiD, Jinyi He, Kefei YuaniD, Zhen WangiD

Abstract

ObjectiveSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been suggested to purpose threats to health of mankind. Alcoholic hepatitis (AH) is a life-threatening acute and chronic liver failure that takes place in sufferers who drink excessively. During the epidemic, AH has an increasing incidence of severe illness and mortality. However, for these two diseases, the intrinsic relationship of molecular pathogenesis, as well as common therapeutic strategies are still poorly understood. MethodsThe transcriptome of the COVID-19 and AH has been compared to obtain the altered genes and hub genes were screened out through protein-protein interaction (PPI) network analysis. Via gene ontology (GO), pathway enrichment and transcription regulator analysis, a deeper appreciation of the interplay mechanism between hub genes were established. ResultsWith 181 common differentially expressed genes (DEGs) of AH and COVID-19 were obtained, 10 hub genes were captured. Follow-up studies located that these 10 genes typically mediated the diseases occurrence by regulating the activities of the immune system. Other results suggest that the common pathways of the two ailments are enriched in regulating the function of immune cells and the release of immune molecules. ConclusionThis study reveals the common pathogenesis of COVID-19 and AH and assist to discover necessary therapeutic targets to combat the ongoing pandemic induced via SARS-CoV-2 infection and acquire promising remedy strategies for the two diseases.

02 /Specification & Classification

Click any tag to browse matching papers
Citations
7
FWCI
0.62
Field percentile
top 40%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZhou '23Alsamman '20Ma '24Dolan '20Vastrad '21Nan '21
73% semantic matchBioinformatics
Xinyi Zhou, Tengda Huang, Hongyuan Pan+6 more·bioRxiv·Jan 4, 2023