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Understanding allergic multimorbidity within the non-eosinophilic interactome

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dc.contributor.author Aguilar, Daniel
dc.contributor.author Lemonnier, Nathanael
dc.contributor.author Koppelman, Gerard H.
dc.contributor.author Melén, Erik
dc.contributor.author Oliva Miguel, Baldomero
dc.contributor.author Pinart, Mariona
dc.contributor.author Guerra, Stefano
dc.contributor.author Bousquet, Jean
dc.contributor.author Antó i Boqué, Josep Maria
dc.date.accessioned 2019-12-16T08:27:30Z
dc.date.available 2019-12-16T08:27:30Z
dc.date.issued 2019
dc.identifier.citation Aguilar D, Lemonnier N, Koppelman GH, Melén E, Oliva B, Pinart M et al. Understanding allergic multimorbidity within the non-eosinophilic interactome. PLoS One. 2019;14(11):e0224448. DOI: 10.1371/journal.pone.0224448
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10230/43170
dc.description.abstract Background: The mechanisms explaining multimorbidity between asthma, dermatitis and rhinitis (allergic multimorbidity) are not well known. We investigated these mechanisms and their specificity in distinct cell types by means of an interactome-based analysis of expression data. Methods: Genes associated to the diseases were identified using data mining approaches, and their multimorbidity mechanisms in distinct cell types were characterized by means of an in silico analysis of the topology of the human interactome. Results: We characterized specific pathomechanisms for multimorbidities between asthma, dermatitis and rhinitis for distinct emergent non-eosinophilic cell types. We observed differential roles for cytokine signaling, TLR-mediated signaling and metabolic pathways for multimorbidities across distinct cell types. Furthermore, we also identified individual genes potentially associated to multimorbidity mechanisms. Conclusions: Our results support the existence of differentiated multimorbidity mechanisms between asthma, dermatitis and rhinitis at cell type level, as well as mechanisms common to distinct cell types. These results will help understanding the biology underlying allergic multimorbidity, assisting in the design of new clinical studies.
dc.description.sponsorship This work was supported by Mechanisms of the Development of ALLergy (MeDALL), a collaborative project done within the EU under the Health Cooperation Work Programme of the Seventh Framework programme (grant agreement number 261357). EM is supported by grants from the European Research Council (n° 757919) and the Swedish Research Council. NL is a recipient of a postdoctoral fellowship from the French National Research Agency in the framework of the "Investissements d’avenir" program (ANR-15-IDEX-02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. 6AM Data Mining provided support in the form of a salary for DA, but did not have any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PLoS One. 2019;14(11):e0224448
dc.rights © 2019 Aguilar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Understanding allergic multimorbidity within the non-eosinophilic interactome
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0224448
dc.subject.keyword Toll-like receptors
dc.subject.keyword Monocytes
dc.subject.keyword Blood
dc.subject.keyword T cells
dc.subject.keyword Interaction networks
dc.subject.keyword Immune receptor signaling
dc.subject.keyword Signal processing
dc.subject.keyword Interleukins
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/261357
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/757919
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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