Article: A systems biology analysis of protein-protein interaction of digestive disorders and Covid-19 virus based on comprehensive gene information.
Gastroenterology and hepatology from bed to bench
2022 Volume 15, Issue 2, Page(s) 158–163
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 ... ...
| 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. |
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| Language | English |
| Publishing date | 2022-06-15 |
| Publishing country | Iran |
| Document type | Journal Article |
| ZDB-ID | 2569124-7 |
| ISSN | 2008-4234 ; 2008-2258 |
| ISSN (online) | 2008-4234 |
| ISSN | 2008-2258 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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