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Persistent Identifier
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perma:LIST.LUCIBX |
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Publication Date
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2026-07-06 |
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Title
| Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden [* Cross-Reference *] |
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Other Identifier
| https://doi.org/10.1002/clt2.12292
OpenAlex ID: https://openalex.org/W4386461272 |
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Author
| Rebecca Czolk (University of Luxembourg, Luxembourg Institute of Health, Luxembourg Institute of Science and Technology) - ORCID: https://orcid.org/0000-0003-4296-3051
María Ruiz‐Castell (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0001-9741-7491
Oliver Hunewald (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0001-5402-5084
Naphisabet Wanniang (University of Luxembourg, Luxembourg Institute of Health, Luxembourg Institute of Science and Technology)
Gwenaëlle Le Coroller (Luxembourg Institute of Health)
Christiane Hilger (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0001-9455-5442
Michel Vaillant (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0003-4714-8128
Guy Fagherazzi (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0001-5033-5966
F. Morel‐Codreanu (Centre Hospitalier de Luxembourg)
Markus Ollert (University of Southern Denmark, Odense University Hospital, Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0002-8055-0103
Annette Kuehn (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0003-0474-2135 |
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Point of Contact
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Use email button above to contact.
LIST QDKM (LIST) |
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Description
| Background: Even though the prevalence of allergies is increasing, population-based data are still scarce. As a read-out for chronic inflammatory information, new methods are needed to integrate individual biological measurements and lifestyle parameters to mitigate the consequences and costs of allergic burden for society. Methods: More than 480.000 data points were collected from 1462 Luxembourg adults during the representative, cross-sectional European Health Examination Survey, spanning health and lifestyle reports. Deep IgE-profiles based on unsupervised clustering were correlated with data of the health survey. Findings: 42.6% of the participants reported a physician-diagnosed allergy and 44% were found to be IgE-positive to at least one allergen or extract. The main sensitization sources were tree pollens followed by grass pollens and mites (52.4%, 51.8% and 40.3% of sensitized participants respectively), suggesting seasonal as well as perennial burden. The youngest group of participants (25–34 years old) showed the highest burden of sensitization, with 18.2% of them having IgE to 10 or more allergen groups. Unsupervised clustering revealed that the biggest cluster of 24.4% of participants was also the one with the highest medical need, marked by their multi-sensitization to respiratory sources. Interpretation: Our novel approach to analyzing large biosample datasets together with health information allows the measurement of the chronic inflammatory disease burden in the general population and led to the identification of the most vulnerable groups in need of better medical care. (2023-09-01)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.1002/clt2.12292 for the original and latest version of the publication*** (2026-07-01) |
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Subject
| Medicine, Health and Life Sciences |
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Keyword
| Medicine
Cross-sectional study
Allergy
Immunoglobulin E
Population
Cluster analysis
Cross reactions
Immunology
Environmental health
Data science
Machine learning
Computer science
Pathology |
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Topic Classification
| Allergic Rhinitis and Sensitization
Asthma and respiratory diseases
Dermatology and Skin Diseases |
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Deposit Date
| 2023-09-01 |
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Data Type
| Article |
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Data Source
| Clinical and Translational Allergy |
