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http://hdl.handle.net/2445/113434
Title: | Computational analysis of multimorbidity between asthma, eczema and rhinitis |
Author: | Aguilar, Daniel Pinart Gilberga, Mariona Koppelman, Gerard H. Saeys, Yvan Nawijn, Martijn C. Postma, Dirkje S. Akdis, Mübeccel Auffray, Charles Ballereau, Stephane Benet, Marta García Aymerich, Judith González, Juan Ramón Guerra, Stefano Keil, Thomas Kogevinas, Manolis Lambrecht, Bart Lemonnier, Nathanael Melén, Erik Sunyer Deu, Jordi Valenta, Rudolf Valverde, Sergi Wickman, Magnus Bousquet, Jean Oliva Miguel, Baldomero Antó i Boqué, Josep Maria |
Keywords: | Asma Èczema Rinitis Immunologia Asthma Eczema Rhinitis Immunology |
Issue Date: | 9-Jun-2017 |
Publisher: | Public Library of Science |
Abstract: | BACKGROUND: The mechanisms explaining the co-existence of asthma, eczema and rhinitis (allergic multimorbidity) are largely unknown. We investigated the mechanisms underlying multimorbidity between three main allergic diseases at a molecular level by identifying the proteins and cellular processes that are common to them. METHODS: An in silico study based on computational analysis of the topology of the protein interaction network was performed in order to characterize the molecular mechanisms of multimorbidity of asthma, eczema and rhinitis. As a first step, proteins associated to either disease were identified using data mining approaches, and their overlap was calculated. Secondly, a functional interaction network was built, allowing to identify cellular pathways involved in allergic multimorbidity. Finally, a network-based algorithm generated a ranked list of newly predicted multimorbidity-associated proteins. RESULTS: Asthma, eczema and rhinitis shared a larger number of associated proteins than expected by chance, and their associated proteins exhibited a significant degree of interconnectedness in the interaction network. There were 15 pathways involved in the multimorbidity of asthma, eczema and rhinitis, including IL4 signaling and GATA3-related pathways. A number of proteins potentially associated to these multimorbidity processes were also obtained. CONCLUSIONS: These results strongly support the existence of an allergic multimorbidity cluster between asthma, eczema and rhinitis, and suggest that type 2 signaling pathways represent a relevant multimorbidity mechanism of allergic diseases. Furthermore, we identified new candidates contributing to multimorbidity that may assist in identifying new targets for multimorbid allergic diseases. |
Note: | Reproducció del document publicat a: http://dx.doi.org/10.1371/journal.pone.0179125 |
It is part of: | PloS one, 2017, vol. 12, num. 6, p. e0179125 |
URI: | http://hdl.handle.net/2445/113434 |
Related resource: | http://dx.doi.org/10.1371/journal.pone.0179125 |
ISSN: | 1932-6203 |
Appears in Collections: | Articles publicats en revistes (ISGlobal) |
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