Connectivity Patterns Between Multiple Allergen Specific IgE Antibodies and Their Association with Severe Asthma
Overview
Authors
Affiliations
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.
Bourgoin-Heck M, Wolff-Goldnadel V, Chantran Y, Saf S, Guiddir T, Amat F Pediatr Allergy Immunol. 2024; 35(12):e70014.
PMID: 39636251 PMC: 11619752. DOI: 10.1111/pai.70014.
The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment.
Khan M, Banerjee S, Muskawad S, Maity R, Chowdhury S, Ejaz R Curr Allergy Asthma Rep. 2024; 24(7):361-372.
PMID: 38954325 DOI: 10.1007/s11882-024-01152-y.
Pediatric asthma comorbidities: Global impact and unmet needs.
Hossny E, Adachi Y, Anastasiou E, Badellino H, Custovic A, El-Owaidy R World Allergy Organ J. 2024; 17(5):100909.
PMID: 38827329 PMC: 11141278. DOI: 10.1016/j.waojou.2024.100909.
Custovic A, Custovic D, Fontanella S Curr Opin Allergy Clin Immunol. 2024; 24(2):79-87.
PMID: 38359101 PMC: 10906203. DOI: 10.1097/ACI.0000000000000967.
Factors associated with aeroallergen testing among adults with asthma in a large health system.
Gleeson P, Morales K, Buckey T, Fadugba O, Apter A, Christie J J Allergy Clin Immunol Glob. 2023; 2(4):100167.
PMID: 37841071 PMC: 10570953. DOI: 10.1016/j.jacig.2023.100167.