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The Autoimmune Tautology: An In Silico Approach

There is genetic evidence of similarities and differences among autoimmune diseases (AIDs) that warrants looking at a general panorama of what has been published. Thus, our aim was to determine the main shared genes and to what extent they contribute to building clusters of AIDs. We combined a text-...

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Detalles Bibliográficos
Autores principales: Cifuentes, Ricardo A., Restrepo-Montoya, Daniel, Anaya, Juan-Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303588/
https://www.ncbi.nlm.nih.gov/pubmed/22474574
http://dx.doi.org/10.1155/2012/792106
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author Cifuentes, Ricardo A.
Restrepo-Montoya, Daniel
Anaya, Juan-Manuel
author_facet Cifuentes, Ricardo A.
Restrepo-Montoya, Daniel
Anaya, Juan-Manuel
author_sort Cifuentes, Ricardo A.
collection PubMed
description There is genetic evidence of similarities and differences among autoimmune diseases (AIDs) that warrants looking at a general panorama of what has been published. Thus, our aim was to determine the main shared genes and to what extent they contribute to building clusters of AIDs. We combined a text-mining approach to build clusters of genetic concept profiles (GCPs) from the literature in MedLine with knowledge of protein-protein interactions to confirm if genes in GCP encode proteins that truly interact. We found three clusters in which the genes with the highest contribution encoded proteins that showed strong and specific interactions. After projecting the AIDs on a plane, two clusters could be discerned: Sjögren's syndrome—systemic lupus erythematosus, and autoimmune thyroid disease—type1 diabetes—rheumatoid arthritis. Our results support the common origin of AIDs and the role of genes involved in apoptosis such as CTLA4, FASLG, and IL10.
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spelling pubmed-33035882012-04-03 The Autoimmune Tautology: An In Silico Approach Cifuentes, Ricardo A. Restrepo-Montoya, Daniel Anaya, Juan-Manuel Autoimmune Dis Research Article There is genetic evidence of similarities and differences among autoimmune diseases (AIDs) that warrants looking at a general panorama of what has been published. Thus, our aim was to determine the main shared genes and to what extent they contribute to building clusters of AIDs. We combined a text-mining approach to build clusters of genetic concept profiles (GCPs) from the literature in MedLine with knowledge of protein-protein interactions to confirm if genes in GCP encode proteins that truly interact. We found three clusters in which the genes with the highest contribution encoded proteins that showed strong and specific interactions. After projecting the AIDs on a plane, two clusters could be discerned: Sjögren's syndrome—systemic lupus erythematosus, and autoimmune thyroid disease—type1 diabetes—rheumatoid arthritis. Our results support the common origin of AIDs and the role of genes involved in apoptosis such as CTLA4, FASLG, and IL10. Hindawi Publishing Corporation 2012 2012-03-05 /pmc/articles/PMC3303588/ /pubmed/22474574 http://dx.doi.org/10.1155/2012/792106 Text en Copyright © 2012 Ricardo A. Cifuentes et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cifuentes, Ricardo A.
Restrepo-Montoya, Daniel
Anaya, Juan-Manuel
The Autoimmune Tautology: An In Silico Approach
title The Autoimmune Tautology: An In Silico Approach
title_full The Autoimmune Tautology: An In Silico Approach
title_fullStr The Autoimmune Tautology: An In Silico Approach
title_full_unstemmed The Autoimmune Tautology: An In Silico Approach
title_short The Autoimmune Tautology: An In Silico Approach
title_sort autoimmune tautology: an in silico approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303588/
https://www.ncbi.nlm.nih.gov/pubmed/22474574
http://dx.doi.org/10.1155/2012/792106
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