Integrative analysis of hub genes to explore communication between gut-brain axis: in-silico analysis

  • سال انتشار: 1402
  • محل انتشار: اولین کنگره بین المللی هوش مصنوعی در علوم پزشکی
  • کد COI اختصاصی: AIMS01_249
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 219
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نویسندگان

Navid Abedpoor

Department of Physiology, Medicinal Plants Research Center, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

Fatemeh Hajibabaei

Department of Physiology, Medicinal Plants Research Center, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran- Department of Biology, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran

Elina Kaviani

Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Kamran Safavi

Department of Plant Biotechnology, Medicinal Plants Research Centre, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

چکیده

Background and aims: Cancers are ranked second in non-communicable diseases. Growingevidence has indicated the communication between the colon and central nervous system, andalso, there are mutual interactions between the mucosal immune system and enteric nervous systems,which this cross-talk called the colon-brain axis. In developing and developed countries,psychological disorders have imposed heavy economic and social burdens on healthcare systems.Method: we browsed the gene expression omnibus server and selected GSE۱۶۴۱۹۱ (۲۰۲۱) andGSE۱۵۱۸۰۷ (۲۰۲۰) genes with significant differential expression obtained from R analysis basedon the Bioconductor, limma, and oligo packages. Subsequently, several parameters include degree,betweenness centrality, eigenvector centrality, and modularity to ranking hub genes involvedin colorectal cancer and depression in the Cytoscape software. Next, we designed the protein-protein interactions network using by STRING/Gephi algorithm. Furthermore, we estimatedthe common hub genes between colorectal cancer (CC) and depression via the Venn diagramtool. Then, enrichment of these hub genes in KEGG pathway analysis was conducted. Finally, anetwork between selected genes is visualized by Cytoscape software.Results: Based on the in-silico analysis, we found a relationship between CC and depression.Enrichment analysis indicated mBDNF and GABA neurotransmission, Wnt signaling pathway,pathways of neurodegeneration, IL-۲/STAT۵, and IL۶ Signaling, inflammation mediated bychemokine, and integrin signaling pathway involved in this pathomechanism.Conclusion: We predicted hub genes could be communicated between CC and depression. Moreover,we found that the patients involved in CC could be susceptible to depression condition.Therefore, predicting the drugs which target these genes could prevent depression condition.

کلیدواژه ها

Artificial Intelligence, Medicine, Depression, Colorectal Cancer, Hub Genes

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