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Computational analysis of multimorbidity between asthma, eczema and rhinitis

Daniel Aguilar, Mariona Pinart, Gerard H Koppelman, Yvan Saeys UGent, Martijn C Nawijn, Dirkje S Postma, Mübeccel Akdis, Charles Auffray, Stéphane Ballereau, Marta Benet, et al. (2017) PLOS ONE. 12(6).
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
GENOME-WIDE ASSOCIATION, IMMUNE-RELATED DISEASES, INNATE LYMPHOID-CELLS, ATOPIC-DERMATITIS, ALLERGIC RHINITIS, NETWORK MEDICINE, COMORBIDITY, INFLAMMATION, MEDALL, METAANALYSIS
journal title
PLOS ONE
PLoS One
volume
12
issue
6
article number
e0179125
pages
26 pages
Web of Science type
Article
Web of Science id
000402992000026
ISSN
1932-6203
DOI
10.1371/journal.pone.0179125
language
English
UGent publication?
yes
classification
A1
copyright statement
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
id
8525806
handle
http://hdl.handle.net/1854/LU-8525806
date created
2017-06-29 15:12:56
date last changed
2017-07-12 12:51:06
@article{8525806,
  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.},
  articleno    = {e0179125},
  author       = {Aguilar, Daniel and Pinart, Mariona and Koppelman, Gerard H and Saeys, Yvan and Nawijn, Martijn C and Postma, Dirkje S and Akdis, M{\"u}beccel and Auffray, Charles and Ballereau, St{\'e}phane and Benet, Marta and Garc{\'i}a-Aymerich, Judith and Ramon Gonz{\'a}lez, Juan and Guerra, Stefano and Keil, Thomas and Kogevinas, Manolis and Lambrecht, Bart and Lemonnier, Nathanael and Melen, Erik and Sunyer, Jordi and Valenta, Rudolf and Valverde, Sergi and Wickman, Magnus and Bousquet, Jean and Oliva, Baldo and Ant{\'o}, Josep M},
  issn         = {1932-6203},
  journal      = {PLOS ONE},
  keyword      = {GENOME-WIDE ASSOCIATION,IMMUNE-RELATED DISEASES,INNATE LYMPHOID-CELLS,ATOPIC-DERMATITIS,ALLERGIC RHINITIS,NETWORK MEDICINE,COMORBIDITY,INFLAMMATION,MEDALL,METAANALYSIS},
  language     = {eng},
  number       = {6},
  pages        = {26},
  title        = {Computational analysis of multimorbidity between asthma, eczema and rhinitis},
  url          = {http://dx.doi.org/10.1371/journal.pone.0179125},
  volume       = {12},
  year         = {2017},
}

Chicago
Aguilar, Daniel, Mariona Pinart, Gerard H Koppelman, Yvan Saeys, Martijn C Nawijn, Dirkje S Postma, Mübeccel Akdis, et al. 2017. “Computational Analysis of Multimorbidity Between Asthma, Eczema and Rhinitis.” Plos One 12 (6).
APA
Aguilar, D., Pinart, M., Koppelman, G. H., Saeys, Y., Nawijn, M. C., Postma, D. S., Akdis, M., et al. (2017). Computational analysis of multimorbidity between asthma, eczema and rhinitis. PLOS ONE, 12(6).
Vancouver
1.
Aguilar D, Pinart M, Koppelman GH, Saeys Y, Nawijn MC, Postma DS, et al. Computational analysis of multimorbidity between asthma, eczema and rhinitis. PLOS ONE. 2017;12(6).
MLA
Aguilar, Daniel, Mariona Pinart, Gerard H Koppelman, et al. “Computational Analysis of Multimorbidity Between Asthma, Eczema and Rhinitis.” PLOS ONE 12.6 (2017): n. pag. Print.