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Celiac disease and hepatitis C relationships in transcriptional regulatory networks
AIM: we mainly aimed to elucidate potential comorbidities between celiac disease and hepatitis c by means of data and network analysis approaches. BACKGROUND: understanding the association among the disorders evidently has important impact on the diagnosis and therapeutic approaches. Celiac disease...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758739/ https://www.ncbi.nlm.nih.gov/pubmed/29379596 |
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author | Izadi, Fereshteh Rezaei Tavirani, Mostafa Honarkar, Zahra Rostami-Nejad, Mohammad |
author_facet | Izadi, Fereshteh Rezaei Tavirani, Mostafa Honarkar, Zahra Rostami-Nejad, Mohammad |
author_sort | Izadi, Fereshteh |
collection | PubMed |
description | AIM: we mainly aimed to elucidate potential comorbidities between celiac disease and hepatitis c by means of data and network analysis approaches. BACKGROUND: understanding the association among the disorders evidently has important impact on the diagnosis and therapeutic approaches. Celiac disease is the most challenging, common types of autoimmune disorders. On the other hand, hepatitis c virus genome products like some proteins are supposed to be resemble to gliadin types that in turn activates gluten intolerance in people with inclined to gluten susceptibilities. Moreover, a firm support of association between chronic hepatitis and celiac disease remains largely unclear. Henceforth exploring cross-talk among these diseases will apparently lead to the promising discoveries concerning important genes and regulators. METHODS: 321 and 1032 genes associated with celiac disease and hepatitis c retrieved from DisGeNET were subjected to build a gene regulatory network. Afterward a network-driven integrative analysis was performed to exploring prognosticates genes and related pathways. RESULTS: 105 common genes between these diseases included 11 transcription factors were identified as hallmark molecules where by further screening enriched in biological GO terms and pathways chiefly in immune systems and signaling pathways such as chemokines, cytokines and interleukins. CONCLUSION: in silico data analysis approaches indicated that the identified selected combinations of genes covered a wide range of known functions triggering the inflammation implicated in these diseases. |
format | Online Article Text |
id | pubmed-5758739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Shaheed Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-57587392018-01-29 Celiac disease and hepatitis C relationships in transcriptional regulatory networks Izadi, Fereshteh Rezaei Tavirani, Mostafa Honarkar, Zahra Rostami-Nejad, Mohammad Gastroenterol Hepatol Bed Bench Original Article AIM: we mainly aimed to elucidate potential comorbidities between celiac disease and hepatitis c by means of data and network analysis approaches. BACKGROUND: understanding the association among the disorders evidently has important impact on the diagnosis and therapeutic approaches. Celiac disease is the most challenging, common types of autoimmune disorders. On the other hand, hepatitis c virus genome products like some proteins are supposed to be resemble to gliadin types that in turn activates gluten intolerance in people with inclined to gluten susceptibilities. Moreover, a firm support of association between chronic hepatitis and celiac disease remains largely unclear. Henceforth exploring cross-talk among these diseases will apparently lead to the promising discoveries concerning important genes and regulators. METHODS: 321 and 1032 genes associated with celiac disease and hepatitis c retrieved from DisGeNET were subjected to build a gene regulatory network. Afterward a network-driven integrative analysis was performed to exploring prognosticates genes and related pathways. RESULTS: 105 common genes between these diseases included 11 transcription factors were identified as hallmark molecules where by further screening enriched in biological GO terms and pathways chiefly in immune systems and signaling pathways such as chemokines, cytokines and interleukins. CONCLUSION: in silico data analysis approaches indicated that the identified selected combinations of genes covered a wide range of known functions triggering the inflammation implicated in these diseases. Shaheed Beheshti University of Medical Sciences 2017 /pmc/articles/PMC5758739/ /pubmed/29379596 Text en ©2017 RIGLD, Research Institute for Gastroenterology and Liver Diseases This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Izadi, Fereshteh Rezaei Tavirani, Mostafa Honarkar, Zahra Rostami-Nejad, Mohammad Celiac disease and hepatitis C relationships in transcriptional regulatory networks |
title | Celiac disease and hepatitis C relationships in transcriptional regulatory networks |
title_full | Celiac disease and hepatitis C relationships in transcriptional regulatory networks |
title_fullStr | Celiac disease and hepatitis C relationships in transcriptional regulatory networks |
title_full_unstemmed | Celiac disease and hepatitis C relationships in transcriptional regulatory networks |
title_short | Celiac disease and hepatitis C relationships in transcriptional regulatory networks |
title_sort | celiac disease and hepatitis c relationships in transcriptional regulatory networks |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758739/ https://www.ncbi.nlm.nih.gov/pubmed/29379596 |
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