ISSN: 2008-2258
Vol 13, (2020): Supplement1- Winter
Highlighted role of “IL17 signaling pathway” in gastroesophageal reflux disease
Gastroenterology and Hepatology from Bed to Bench,
,
,
Page S68-S74
https://doi.org/10.22037/ghfbb.v13i1.1923
Abstract
Aim: The aim of this study is to assess the molecular profile of gastroesophageal reflux disease (GERD) via Protein-protein interaction (PPI) network analysis and gene ontology (GO) investigation.
Background: GERD which affects the life of about 30% of people is associated with high costs in the human papulation. Several risk factors such as smoking, eating habits, BMI, and dysfunction of lower esophageal sphincter have been reported to contribute to the onset and progression of GERD. The roles 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 indicated that there are 12 hub-bottlenecks almost all of which 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 one pathway (IL17 signaling pathway) were highlighted as the deregulate genes and pathway in GERD. Common molecular features of GERD and cancer appeared.
Keywords: Gastroesophageal reflux disease, Protein-protein interaction network analysis, Gene ontology, Biomarker.
(Please cite as: Zamanian Azodi M, Razzaghi MR, Malekpour H, Rezaei-Tavirani M, Rezaei-Taviran M5, Heidari MH, et al. Highlighted role of “IL17 signaling pathway” in gastroesophageal reflux disease. Gastroenterol Hepatol Bed Bench 2020;13(Suppl.1):S68-S74).
Aim: The aim of this study is to assess the molecular profile of gastroesophageal reflux disease (GERD) via Protein-protein interaction (PPI) network analysis and gene ontology (GO) investigation.
Background: GERD which affects the life of about 30% of people is associated with high costs in the human papulation. Several risk factors such as smoking, eating habits, BMI, and dysfunction of lower esophageal sphincter have been reported to contribute to the onset and progression of GERD. The roles 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 indicated that there are 12 hub-bottlenecks almost all of which 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 one pathway (IL17 signaling pathway) were highlighted as the deregulate genes and pathway in GERD. Common molecular features of GERD and cancer appeared.
Keywords: Gastroesophageal reflux disease, Protein-protein interaction network analysis, Gene ontology, Biomarker.
(Please cite as: Zamanian Azodi M, Razzaghi MR, Malekpour H, Rezaei-Tavirani M, Rezaei-Taviran M5, Heidari MH, et al. Highlighted role of “IL17 signaling pathway” in gastroesophageal reflux disease. Gastroenterol Hepatol Bed Bench 2020;13(Suppl.1):S68-S74).
- Gastroesophageal Reflux Disease
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References
Haider SH, Kwon S, Lam R, Lee AK, Caraher EJ, Crowley G, et al. Predictive biomarkers of gastroesophageal reflux disease and Barrett’s esophagus in World Trade Center exposed firefighters: A 15 year longitudinal study. Sci Rep 2018;8:3106.
Cameron AJ, Lagergren J, Henriksson C, Nyren O, Locke GR, Pedersen NL. Gastroesophageal reflux disease in monozygotic and dizygotic twins. Gastroenterology 2002;122:55-9.
Ness-Jensen E, Hveem K, El-Serag H, Lagergren J. Lifestyle Intervention in Gastroesophageal Reflux Disease. Clin Gastroenterol Hepatol 2016;14:175-82.
Eslick GD, Talley NJ. Gastroesophageal reflux disease (GERD): risk factors, and impact on quality of life—a population-based study. J Clin Gastroenterol 2009;43:111-7.
Alrashed AA, Aljammaz KI, Pathan A, Mandili AA, Almatrafi SA, Almotire MH, et al. Prevalence and risk factors of gastroesophageal reflux disease among Shaqra University students, Saudi Arabia. Journal of family medicine and primary care. 2019;8(2):462.
Holloway RH. The anti-reflux barrier and mechanisms of gastro-oesophageal reflux. Best Pract Res Clin Gastroenterol 2000;14:681-99.
Hu FZ, Preston RA, Post JC, White GJ, Kikuchi LW, Wang X, et al. Mapping of a gene for severe pediatric gastroesophageal reflux to chromosome 13q14. Jama 2000;284:325-34.
Clayton S, Cauble E, Kumar A, Patil N, Ledford D, Kolliputi N, et al. Plasma levels of TNF-α, IL-6, IFN-γ, IL-12, IL-17, IL-22, and IL-23 in achalasia, eosinophilic esophagitis (EoE), and gastroesophageal reflux disease (GERD). BMC Gastroenterol 2019;19:28.
Yoshida N, Uchiyama K, Kuroda M, Sakuma K, Kokura S, Ichikawa H, et al. Interleukin‐8 expression in the esophageal mucosa of patients with gastroesophageal reflux disease. Scand J Gastroenterol 2004;39:816-22.
Rezaei-Tavirani M, Azodi MZ. Investigating Therapeutic Effects of Retinoic Acid on Thyroid Cancer via Protein-Protein Interaction Network Analysis. Int J Cancer Manag 2019;12.
Tavirani MR, Tavirani MR, Azodi MZ. ANXA2, PRKCE, and OXT are critical differentially genes in Nonalcoholic fatty liver disease. Gastroenterol Hepatol Bed Bench 2019;12:131.
Zamanian-Azodi M, Rezaei-Tavirani M, Robati RM. Introducing Genes With Significant Role in Migraine: An Interactomic Approach. Basic Clin Neurosc 2019;10:363-72.
Smoot ME, Ono K, Ruscheinski J, Wang PL, Ideker T. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics 2010;27:431-2.
Goudarzi M, Goudarzi H, Alebouyeh M, Azimi Rad M, Shayegan Mehr FS, Zali MR, et al. Antimicrobial susceptibility of clostridium difficile clinical isolates in iran. Iran Red Crescent Med J 2013;15:704-11.
Rezaei-Tavirani M, Azodi MZ, Bashash D, Ahmadi N, Rostaim-Nejad M. Breast Cancer Interaction Network Concept from Mostly Related Components. Galen Med J 2019;8:1298.
Bader GD, Hogue CW. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics 2003;4:2.
Bindea G, Mlecnik B, Hackl H, Charoentong P, Tosolini M, Kirilovsky A, et al. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics 2009;25:1091-3.
Tavirani MR, Azodi MZ, Rostami-Nejad M, Morravej H, Razzaghi Z, Okhovatian F, et al. Introducing Serine as Cardiovascular Disease Biomarker Candidate via Pathway Analysis. Galen Med J 2020;9.
XU Z, ZHAO J-x, WANG X-x, QI Y-f, XU X-w. The expression and significance of IL-23/IL-17 axis in esophageal tissues of rats with reflux esophagitis. J Xi'an Jiaotong Univ 2010;5:553-56.
Ferguson HR, Wild CP, Anderson LA, Murphy SJ, Johnston BT, Murray LJ, et al. Cyclooxygenase-2 and inducible nitric oxide synthase gene polymorphisms and risk of reflux esophagitis, Barrett's esophagus, and esophageal adenocarcinoma. Cancer Epidemiol Prev Biomarkers 2008;17:727-31.
Liu Q, Li A, Tian Y, Wu JD, Liu Y, Li T, et al. The CXCL8-CXCR1/2 pathways in cancer. Cytokine Growth Factor Rev 2016;31:61-71.
Qadeer MA, Colabianchi N, Vaezi MF. Is GERD a risk factor for laryngeal cancer? Laryngoscope 2005;115:486-91.
Wang L, Chow K, Wu C. Expression and up-regulation of interleukin-6 in oesophageal carcinoma cells by n-sodium butyrate. Br J Cancer 1999;80:1617-22.
Bandla S, Pennathur A, Luketich JD, Beer DG, Lin L, Bass AJ, et al. Comparative genomics of esophageal adenocarcinoma and squamous cell carcinoma. Ann Thorac Surg 2012;93:1101-6.
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