Cargando…

Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis

Celiac disease (CeD) is a gastrointestinal autoimmune disorder, whose specific molecular basis is not yet fully interpreted. Therefore, in this study, we compared the global gene expression profile of duodenum tissues from CeD patients, both at the time of disease diagnosis and after two years of th...

Descripción completa

Detalles Bibliográficos
Autores principales: Banaganapalli, Babajan, Mansour, Haifa, Mohammed, Arif, Alharthi, Arwa Mastoor, Aljuaid, Nada Mohammed, Nasser, Khalidah Khalid, Ahmad, Aftab, Saadah, Omar I., Al-Aama, Jumana Yousuf, Elango, Ramu, Shaik, Noor Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529771/
https://www.ncbi.nlm.nih.gov/pubmed/33004927
http://dx.doi.org/10.1038/s41598-020-73288-6
_version_ 1783589485672398848
author Banaganapalli, Babajan
Mansour, Haifa
Mohammed, Arif
Alharthi, Arwa Mastoor
Aljuaid, Nada Mohammed
Nasser, Khalidah Khalid
Ahmad, Aftab
Saadah, Omar I.
Al-Aama, Jumana Yousuf
Elango, Ramu
Shaik, Noor Ahmad
author_facet Banaganapalli, Babajan
Mansour, Haifa
Mohammed, Arif
Alharthi, Arwa Mastoor
Aljuaid, Nada Mohammed
Nasser, Khalidah Khalid
Ahmad, Aftab
Saadah, Omar I.
Al-Aama, Jumana Yousuf
Elango, Ramu
Shaik, Noor Ahmad
author_sort Banaganapalli, Babajan
collection PubMed
description Celiac disease (CeD) is a gastrointestinal autoimmune disorder, whose specific molecular basis is not yet fully interpreted. Therefore, in this study, we compared the global gene expression profile of duodenum tissues from CeD patients, both at the time of disease diagnosis and after two years of the gluten-free diet. A series of advanced systems biology approaches like differential gene expression, protein–protein interactions, gene network-cluster analysis were deployed to annotate the candidate pathways relevant to CeD pathogenesis. The duodenum tissues from CeD patients revealed the differential expression of 106 up- and 193 down-regulated genes. The pathway enrichment of differentially expressed genes (DEGs) highlights the involvement of biological pathways related to loss of cell division regulation (cell cycle, p53 signalling pathway), immune system processes (NOD-like receptor signalling pathway, Th1, and Th2 cell differentiation, IL-17 signalling pathway) and impaired metabolism and absorption (mineral and vitamin absorptions and drug metabolism) in celiac disease. The molecular dysfunctions of these 3 biological events tend to increase the number of intraepithelial lymphocytes (IELs) and villous atrophy of the duodenal mucosa promoting the development of CeD. For the first time, this study highlights the involvement of aberrant cell division, immune system, absorption, and metabolism pathways in CeD pathophysiology and presents potential novel therapeutic opportunities.
format Online
Article
Text
id pubmed-7529771
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75297712020-10-02 Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis Banaganapalli, Babajan Mansour, Haifa Mohammed, Arif Alharthi, Arwa Mastoor Aljuaid, Nada Mohammed Nasser, Khalidah Khalid Ahmad, Aftab Saadah, Omar I. Al-Aama, Jumana Yousuf Elango, Ramu Shaik, Noor Ahmad Sci Rep Article Celiac disease (CeD) is a gastrointestinal autoimmune disorder, whose specific molecular basis is not yet fully interpreted. Therefore, in this study, we compared the global gene expression profile of duodenum tissues from CeD patients, both at the time of disease diagnosis and after two years of the gluten-free diet. A series of advanced systems biology approaches like differential gene expression, protein–protein interactions, gene network-cluster analysis were deployed to annotate the candidate pathways relevant to CeD pathogenesis. The duodenum tissues from CeD patients revealed the differential expression of 106 up- and 193 down-regulated genes. The pathway enrichment of differentially expressed genes (DEGs) highlights the involvement of biological pathways related to loss of cell division regulation (cell cycle, p53 signalling pathway), immune system processes (NOD-like receptor signalling pathway, Th1, and Th2 cell differentiation, IL-17 signalling pathway) and impaired metabolism and absorption (mineral and vitamin absorptions and drug metabolism) in celiac disease. The molecular dysfunctions of these 3 biological events tend to increase the number of intraepithelial lymphocytes (IELs) and villous atrophy of the duodenal mucosa promoting the development of CeD. For the first time, this study highlights the involvement of aberrant cell division, immune system, absorption, and metabolism pathways in CeD pathophysiology and presents potential novel therapeutic opportunities. Nature Publishing Group UK 2020-10-01 /pmc/articles/PMC7529771/ /pubmed/33004927 http://dx.doi.org/10.1038/s41598-020-73288-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Banaganapalli, Babajan
Mansour, Haifa
Mohammed, Arif
Alharthi, Arwa Mastoor
Aljuaid, Nada Mohammed
Nasser, Khalidah Khalid
Ahmad, Aftab
Saadah, Omar I.
Al-Aama, Jumana Yousuf
Elango, Ramu
Shaik, Noor Ahmad
Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
title Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
title_full Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
title_fullStr Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
title_full_unstemmed Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
title_short Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
title_sort exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529771/
https://www.ncbi.nlm.nih.gov/pubmed/33004927
http://dx.doi.org/10.1038/s41598-020-73288-6
work_keys_str_mv AT banaganapallibabajan exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT mansourhaifa exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT mohammedarif exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT alharthiarwamastoor exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT aljuaidnadamohammed exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT nasserkhalidahkhalid exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT ahmadaftab exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT saadahomari exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT alaamajumanayousuf exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT elangoramu exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis
AT shaiknoorahmad exploringceliacdiseasecandidatepathwaysbyglobalgeneexpressionprofilingandgenenetworkclusteranalysis