基于全面基因信息的消化系统疾病与新冠病毒蛋白质-蛋白质相互作用的系统生物学分析

A systems biology analysis of protein-protein interaction of digestive disorders and Covid-19 virus based on comprehensive gene information.

作者信息

Hosseinpouri Arghavan, Rezaei-Tavirani Mostafa, Gholizadeh Elham, Karbalaei Reza

机构信息

Department of Cellular and Molecular Sciences, Faculty of Sciences, Persian Gulf University, Bushehr, Iran.

Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Gastroenterol Hepatol Bed Bench. 2022 Spring;15(2):158-163.

PMID:35845309

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9275737/

Abstract

AIM

Analysis of networks of digestive disorder and their relationship with Covid-19 based on systems biology methods, evaluation similarity, and usefulness of networks to give a new treatment approach.

BACKGROUND

Digestive disorders are typically complex diseases associated with high treatment costs. They are related to the immune system and inflammation. With the outbreak of Covid-19, this disease was shown to have signs like diarrhea. Some signs of Covid-19 are similar to those of digestive disorders, like IBD and diarrhea. Both of them are accompanied by inflammation and induce disorders in the digestive system.

METHODS

DisGeNET and STRING databases were sources of disease genes and constructing networks and were used to construct the network of digestive diseases and Covid-19. Three plugins of Cytoscape software, namely ClusterONE, ClueGO, and CluePedia, were used to analyze cluster networks and enrichment pathways. To describe the interaction of proteins, information from KEGG pathway and Reactome was used.

RESULTS

According to the results, IBD, gastritis, and diarrhea have common pathways. The CXCL8, IL-6, IL-1β, TNF-α, TLR4, and MBL2 molecules were identified as inflammatory molecules in all networks.

CONCLUSION

It seems that detecting genes and pathways can be useful in applying new approaches for treating these diseases.

摘要

目的

基于系统生物学方法分析消化系统疾病网络及其与新冠病毒疾病（Covid-19）的关系，评估网络的相似性和实用性，以提供一种新的治疗方法。

背景

消化系统疾病通常是复杂疾病，治疗成本高昂。它们与免疫系统和炎症有关。随着新冠病毒疾病（Covid-19）的爆发，该疾病被发现有腹泻等症状。新冠病毒疾病（Covid-19）的一些症状与消化系统疾病相似，如炎症性肠病（IBD）和腹泻。它们都伴有炎症，并引发消化系统紊乱。

方法

DisGeNET和STRING数据库作为疾病基因来源并用于构建网络，以构建消化系统疾病和新冠病毒疾病（Covid-19）的网络。Cytoscape软件的三个插件，即ClusterONE、ClueGO和CluePedia，用于分析聚类网络和富集通路。为描述蛋白质间的相互作用，使用了来自KEGG通路和Reactome的信息。