Please use this identifier to cite or link to this item: 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 Mora, Marta
Garcia-Aymerich, Judith
González, Juan R.
Guerra, Stefano
Keil, Thomas
Kogevinas, Manolis
Lambrecht, Bart
Lemonnier, Nathanael
Melen, Erik
Sunyer Deu, Jordi
Valenta, Rudolf
Valverde, Sergi
Wickman, Magnus
Bousquet, Jean
Oliva, Baldo
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
Related resource: http://dx.doi.org/10.1371/journal.pone.0179125
URI: http://hdl.handle.net/2445/113434
ISSN: 1932-6203
Appears in Collections:Articles publicats en revistes (ISGlobal)

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