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Computational analysis of multimorbidity between asthma, eczema and rhinitis.
Aguilar, Daniel; Pinart, Mariona; Koppelman, Gerard H; Saeys, Yvan; Nawijn, Martijn C; Postma, Dirkje S; Akdis, Mübeccel; Auffray, Charles; Ballereau, Stéphane; Benet, Marta; García-Aymerich, Judith; González, Juan Ramón; Guerra, Stefano; Keil, Thomas; Kogevinas, Manolis; Lambrecht, Bart; Lemonnier, Nathanael; Melen, Erik; Sunyer, Jordi; Valenta, Rudolf; Valverde, Sergi; Wickman, Magnus; Bousquet, Jean; Oliva, Baldo; Antó, Josep M.
Afiliación
  • Aguilar D; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
  • Pinart M; Structural Bioinformatics Group, Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain.
  • Koppelman GH; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.
  • Saeys Y; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
  • Nawijn MC; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.
  • Postma DS; Institut Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain.
  • Akdis M; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands.
  • Auffray C; University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Department of Pediatric Pulmonology and Pediatric Allergology, Groningen, The Netherlands.
  • Ballereau S; Inflammation Research Center, VIB, Ghent, Belgium.
  • Benet M; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • García-Aymerich J; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands.
  • González JR; University of Groningen, Laboratory of Allergology and Pulmonary Diseases, Department of Pathology and Medical Biology, University Medical Center Groningen, Groningen, The Netherlands.
  • Guerra S; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands.
  • Keil T; University of Groningen, Laboratory of Allergology and Pulmonary Diseases, Department of Pathology and Medical Biology, University Medical Center Groningen, Groningen, The Netherlands.
  • Kogevinas M; Swiss Institute of Allergy and Asthma Research (SIAF), Davos, Switzerland.
  • Lambrecht B; Christine Kühne-Center for Allergy Research and Education, Davos, Switzerland.
  • Lemonnier N; European Institute for Systems Biology and Medicine (EISBM), CNRS, Lyon, France.
  • Melen E; European Institute for Systems Biology and Medicine (EISBM), CNRS, Lyon, France.
  • Sunyer J; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
  • Valenta R; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.
  • Valverde S; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
  • Wickman M; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.
  • Bousquet J; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
  • Oliva B; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain.
  • Antó JM; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
PLoS One ; 12(6): e0179125, 2017.
Article en En | MEDLINE | ID: mdl-28598986
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Rinitis / Rinitis Alérgica Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2017 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Rinitis / Rinitis Alérgica Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2017 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos