# name
Computational analysis of multimorbidity between asthma, eczema
                and rhinitis

# metadata.dc.description.abstract[].value
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.

# metadata.dc.relation.isformatof[].value
Reproducció del document publicat a:
                http://dx.doi.org/10.1371/journal.pone.0179125

# metadata.dc.source[].value
Articles publicats en revistes (ISGlobal)

# metadata.dc.title[].value
Computational analysis of multimorbidity between asthma, eczema
                and rhinitis