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Network Analysis of Common Genes and Transcriptional Factors between Celiac Disease and Inflammatory Bowel Diseases

BACKGROUND Understanding the associations among different disorders remarkably improves their diagnosis and treatments. Celiac disease is the most complicated and prevalent form of immune-mediated diseases. On the other hand, inflammatory bowel diseases lead to inflammation of the intestine with an...

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Detalles Bibliográficos
Autores principales: Izadi, Fereshteh, Soheilifar, Mohammad Hasan, Keshmiri Neghab, Hoda, Soheilifar, Mahya, Esmaeeli Djavid, Gholamreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iranian Association of Gastroerterology and Hepatology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859603/
https://www.ncbi.nlm.nih.gov/pubmed/33564383
http://dx.doi.org/10.34172/mejdd.2020.191
Descripción
Sumario:BACKGROUND Understanding the associations among different disorders remarkably improves their diagnosis and treatments. Celiac disease is the most complicated and prevalent form of immune-mediated diseases. On the other hand, inflammatory bowel diseases lead to inflammation of the intestine with an unknown cause. Although inflammatory bowel diseases have been often thought of as an autoimmune disorder, they can be triggered by whatever that can lead to the inflammation in the whole bowel. Henceforth, both aforementioned diseases are related to autoimmune attacks and cause a sort of inflammatory event, which exploring trade-off among them supposedly will lead to discovering important genes and, in turn, to the possible common therapeutic protocols. In the current study, we aimed to determine the correlation between the common genes in celiac disease and inflammatory bowel diseases. METHODS 314 and 851 genes correlated with celiac disease and inflammatory bowel diseases respectively extracted from DisGeNET were subjected to an in-silico data analysis framework to mine prognosticates genes and the associated pathways. RESULTS 149 shared genes between these diseases regulated by highlighted transcription factors NFKB1, IRF1, STAT1, HSF1, GATA3 were characterized as discriminating molecules, which by further screening were enriched in pathways mostly involved in apoptosis, T cell activation, and cytokine, chemokine, and interleukin signaling. CONCLUSION We observed that the identified common genes were associated with a wide range of pathogenic mechanisms underlying these diseases.