Understanding the heterogeneity of childhood allergic sensitization and its relationship with asthma
Author(s)
Custovic, Adnan
Custovic, Darije
Fontanella, Sara
Type
Journal Article
Abstract
Purpose of review
To review the current state of knowledge on the relationship between allergic sensitization and asthma; to lay out a roadmap for the development of IgE biomarkers that differentiate, in individual sensitized patients, whether their sensitization is important for current or future asthma symptoms, or has little or no relevance to the disease.
Recent findings
The evidence on the relationship between sensitization and asthma suggests that some subtypes of allergic sensitization are not associated with asthma symptoms, whilst others are pathologic. Interaction patterns between IgE antibodies to individual allergenic molecules on component-resolved diagnostics (CRD) multiplex arrays might be hallmarks by which different sensitization subtypes relevant to asthma can be distinguished. These different subtypes of sensitization are associated amongst sensitized individuals at all ages, with different clinical presentations (no disease, asthma as a single disease, and allergic multimorbidity); amongst sensitized preschool children with and without lower airway symptoms, with different risk of subsequent asthma development; and amongst sensitized patients with asthma, with differing levels of asthma severity.
Summary
The use of machine learning-based methodologies on complex CRD data can help us to design better diagnostic tools to help practising physicians differentiate between benign and clinically important sensitization.
To review the current state of knowledge on the relationship between allergic sensitization and asthma; to lay out a roadmap for the development of IgE biomarkers that differentiate, in individual sensitized patients, whether their sensitization is important for current or future asthma symptoms, or has little or no relevance to the disease.
Recent findings
The evidence on the relationship between sensitization and asthma suggests that some subtypes of allergic sensitization are not associated with asthma symptoms, whilst others are pathologic. Interaction patterns between IgE antibodies to individual allergenic molecules on component-resolved diagnostics (CRD) multiplex arrays might be hallmarks by which different sensitization subtypes relevant to asthma can be distinguished. These different subtypes of sensitization are associated amongst sensitized individuals at all ages, with different clinical presentations (no disease, asthma as a single disease, and allergic multimorbidity); amongst sensitized preschool children with and without lower airway symptoms, with different risk of subsequent asthma development; and amongst sensitized patients with asthma, with differing levels of asthma severity.
Summary
The use of machine learning-based methodologies on complex CRD data can help us to design better diagnostic tools to help practising physicians differentiate between benign and clinically important sensitization.
Date Issued
2024-04-01
Date Acceptance
2024-04-01
Citation
Current Opinion in Allergy and Clinical Immunology, 2024, 24 (2), pp.79-87
ISSN
1473-6322
Publisher
Lippincott, Williams & Wilkins
Start Page
79
End Page
87
Journal / Book Title
Current Opinion in Allergy and Clinical Immunology
Volume
24
Issue
2
Copyright Statement
Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
License URL
Subjects
AGE
Allergy
asthma
ATOPIC SENSITIZATION
atopy
BIRTH
birth cohorts
childhood
CHILDREN
CLINICAL SYMPTOMS
heterogeneity
IGE RESPONSES
Immunology
Life Sciences & Biomedicine
machine learning
MITE ALLERGENS
PATTERNS
PHENOTYPES
prediction
rhinitis
Science & Technology
sensitization
WHEEZE
wheeze phenotypes
Publication Status
Published
Date Publish Online
2024-04-01