Gastroenterology and Hepatology from Bed to Bench

Abstract

Aim: The aim of this study is to assess molecular profile of gastroesophageal reflux disease (GERD) Via Protein-protein interaction (PPI) network analysis and gene ontology (GO) investigation.

Background: GERD which effect life style of about 30% of people; is associated with highly cost in the human papulation. Several risk factors such as smoking, eating habits, BMI, and dysfunction of lower esophageal sphincter are highlighted to onset and progression of GERD. Role of some types of interleukins and inflammatory factors as molecular features of GERD are investigated.

Methods: Genes related to GERD were analyzed by Cytoscape v.3.7.2 and the corresponding plug-ins.  ClueGO and CluePedia assessed the gene ontology and action type properties for the central nodes.

Results: The results indicate that there are 12 hub-bottlenecks that almost all of them except ALB are dispersed in the network clusters 1 and 2.  Il17 signaling pathway among 7 identified biochemical pathways was also detected as a most related annotation for these central genes.

Conclusion: Numbers of 11 critical genes and “IL17 signaling pathway” were highlighted as the deregulate genes and pathway in GERD. Common molecular features of GERD and cancer were appeared.

Keywords: Gastroesophageal reflux disease, Protein-protein interaction network analysis, Gene ontology, Biomarker