Connectivity patterns between multiple allergen specific IgE antibodies and their association with severe asthma.

Roberts, Graham; Fontanella, Sara; Selby, Anna; Howard, Rebecca; Filippi, Sarah; Hedlin, Gunilla; Nordlund, Bjorn; Howarth, Peter; Hashimoto, Simone; Brinkman, Peter; Fleming, Louise J; Murray, Clare; Bush, Andrew; Frey, Urs; Singer, Florian; Schoos, Ann-Marie Malby; van Aalderen, Wim; Djukanovic, Ratko; Chung, K Fan; Sterk, Peter J; ... (2020). Connectivity patterns between multiple allergen specific IgE antibodies and their association with severe asthma. Journal of allergy and clinical immunology, 146(4), pp. 821-830. Elsevier 10.1016/j.jaci.2020.02.031

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BACKGROUND

Allergic sensitization is associated with severe asthma, but assessment of sensitization is not recommended by most guidelines.

OBJECTIVE

We hypothesized that patterns of IgE responses to multiple allergenic proteins differ between sensitized participants with mild/moderate and severe asthma.

METHODS

IgE to 112 allergenic molecules (components, c-sIgE) was measured using multiplex array among 509 adults and 140 school-age and 131 preschool children with asthma/wheeze from the Unbiased BIOmarkers for the PREDiction of respiratory diseases outcomes cohort, of whom 595 had severe disease. We applied clustering methods to identify co-occurrence patterns of components (component clusters) and patterns of sensitization among participants (sensitization clusters). Network analysis techniques explored the connectivity structure of c-sIgE, and differential network analysis looked for differences in c-sIgE interactions between severe and mild/moderate asthma.

RESULTS

Four sensitization clusters were identified, but with no difference between disease severity groups. Similarly, component clusters were not associated with asthma severity. None of the c-sIgE were identified as associates of severe asthma. The key difference between school children and adults with mild/moderate compared with those with severe asthma was in the network of connections between c-sIgE. Participants with severe asthma had higher connectivity among components, but these connections were weaker. The mild/moderate network had fewer connections, but the connections were stronger. Connectivity between components with no structural homology tended to co-occur among participants with severe asthma. Results were independent from the different sample sizes of mild/moderate and severe groups.

CONCLUSIONS

The patterns of interactions between IgE to multiple allergenic proteins are predictors of asthma severity among school children and adults with allergic asthma.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Unit Childrens Hospital > Forschungsgruppe Pneumologie (Pädiatrie)
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Unit Childrens Hospital
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine > Paediatric Pneumology

UniBE Contributor:

Singer, Florian

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1097-6825

Publisher:

Elsevier

Language:

English

Submitter:

Anette van Dorland

Date Deposited:

02 Dec 2020 10:06

Last Modified:

20 Jul 2022 10:01

Publisher DOI:

10.1016/j.jaci.2020.02.031

PubMed ID:

32188567

Uncontrolled Keywords:

Asthma allergic sensitization cluster network analysis

BORIS DOI:

10.7892/boris.147761

URI:

https://boris.unibe.ch/id/eprint/147761

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