Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden
Abstract 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 cost...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-09-01
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| Series: | Clinical and Translational Allergy |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/clt2.12292 |
| _version_ | 1797674744364924928 |
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| author | Rebecca Czolk Maria Ruiz‐Castell Oliver Hunewald Naphisabet Wanniang Gwenaëlle Le Coroller Christiane Hilger Michel Vaillant Guy Fagherazzi Françoise Morel‐Codreanu Markus Ollert Annette Kuehn |
| author_facet | Rebecca Czolk Maria Ruiz‐Castell Oliver Hunewald Naphisabet Wanniang Gwenaëlle Le Coroller Christiane Hilger Michel Vaillant Guy Fagherazzi Françoise Morel‐Codreanu Markus Ollert Annette Kuehn |
| author_sort | Rebecca Czolk |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T22:03:25Z |
| format | Article |
| id | doaj.art-2331d9e2d9a54fe0b1e01fe39783957b |
| institution | Directory Open Access Journal |
| issn | 2045-7022 |
| language | English |
| last_indexed | 2024-03-11T22:03:25Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Clinical and Translational Allergy |
| spelling | doaj.art-2331d9e2d9a54fe0b1e01fe39783957b2023-09-25T09:20:53ZengWileyClinical and Translational Allergy2045-70222023-09-01139n/an/a10.1002/clt2.12292Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burdenRebecca Czolk0Maria Ruiz‐Castell1Oliver Hunewald2Naphisabet Wanniang3Gwenaëlle Le Coroller4Christiane Hilger5Michel Vaillant6Guy Fagherazzi7Françoise Morel‐Codreanu8Markus Ollert9Annette Kuehn10Department of Infection and Immunity Luxembourg Institute of Health Esch‐sur‐Alzette LuxembourgEpidemiology and Public Health Research Unit Department of Precision Health Luxembourg Institute of Health Strassen LuxembourgDepartment of Infection and Immunity Luxembourg Institute of Health Esch‐sur‐Alzette LuxembourgDepartment of Infection and Immunity Luxembourg Institute of Health Esch‐sur‐Alzette LuxembourgCompetence Center for Methodology and Statistics Translational Medicine Operations Hub Luxembourg Institute of Health Strassen LuxembourgDepartment of Infection and Immunity Luxembourg Institute of Health Esch‐sur‐Alzette LuxembourgCompetence Center for Methodology and Statistics Translational Medicine Operations Hub Luxembourg Institute of Health Strassen LuxembourgEpidemiology and Public Health Research Unit Department of Precision Health Luxembourg Institute of Health Strassen LuxembourgDepartment of Allergology and Immunology Centre Hospitalier de Luxembourg‐Kanner Klinik Luxembourg LuxembourgDepartment of Infection and Immunity Luxembourg Institute of Health Esch‐sur‐Alzette LuxembourgDepartment of Infection and Immunity Luxembourg Institute of Health Esch‐sur‐Alzette LuxembourgAbstract 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.https://doi.org/10.1002/clt2.12292allergy burdenEuropean Health Examination Surveymultiplex IgE‐profilespopulation‐based cross‐sectional study |
| spellingShingle | Rebecca Czolk Maria Ruiz‐Castell Oliver Hunewald Naphisabet Wanniang Gwenaëlle Le Coroller Christiane Hilger Michel Vaillant Guy Fagherazzi Françoise Morel‐Codreanu Markus Ollert Annette Kuehn Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden Clinical and Translational Allergy allergy burden European Health Examination Survey multiplex IgE‐profiles population‐based cross‐sectional study |
| title | Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden |
| title_full | Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden |
| title_fullStr | Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden |
| title_full_unstemmed | Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden |
| title_short | Novel, computational IgE‐clustering in a population‐based cross‐sectional study: Mapping the allergy burden |
| title_sort | novel computational ige clustering in a population based cross sectional study mapping the allergy burden |
| topic | allergy burden European Health Examination Survey multiplex IgE‐profiles population‐based cross‐sectional study |
| url | https://doi.org/10.1002/clt2.12292 |
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