ArticleClinical and experimental otorhinolaryngology2021
Cluster Analysis of Inhalant Allergens in South Korea: A Computational Model of Allergic Sensitization.
Article in Clinical and experimental otorhinolaryngology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Sensitization of common allergens and co-sensitization patterns in the Korean population.Scientific reports · 2025Article
- Global Ragweed Allergy: Molecular Allergens and Integrated Control Strategies.Journal of asthma and allergy · 2025Review
- Allergies to Allergens from Cats and Dogs: A Review and Update on Sources, Pathogenesis, and Strategies.International journal of molecular sciences · 2024Review
- Aeroallergen Sensitization Status in South Korea From 2018 to 2021.Clinical and experimental otorhinolaryngology · 2022Article
- Sensitisation to Imbrasia belina (mopane worm) and other local allergens in rural Gwanda district of Zimbabwe.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2022Article
- Understanding the Patterns and Clustering of Inhalant Allergic Sensitization.Clinical and experimental otorhinolaryngology · 2021Article
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Authors and funding
9 authors.
Funding
Abstract
objectivesSensitization to specific inhalant allergens is a major risk factor for the development of atopic diseases, which impose a major socioeconomic burden and significantly diminish quality of life. However, patterns of inhalant allergic sensitization have yet to be precisely described. Therefore, to enhance the understanding of aeroallergens, we performed a cluster analysis of inhalant allergic sensitization using a computational model.
methodsSkin prick data were collected from 7,504 individuals. A positive skin prick response was defined as an allergen-to-histamine wheal ratio ≥1. To identify the clustering of inhalant allergic sensitization, we performed computational analysis using the four-parameter unified-Richards model.
resultsHierarchical cluster analysis grouped inhalant allergens into three clusters based on the Davies-Bouldin index (0.528): cluster 1 (Dermatophagoides pteronyssinus and Dermatophagoides farinae), cluster 2 (mugwort, cockroach, oak, birch, cat, and dog), and cluster 3 (Alternaria tenus, ragweed, Candida albicans, Kentucky grass, and meadow grass). Computational modeling revealed that each allergen cluster had a different trajectory over the lifespan. Cluster 1 showed a high level (>50%) of sensitization at an early age (before 19 years), followed by a sharp decrease in sensitization. Cluster 2 showed a moderate level (10%-20%) of sensitization before 29 years of age, followed by a steady decrease in sensitization. However, cluster 3 revealed a low level (<10%) of sensitization at all ages.
conclusionComputational modeling suggests that allergic sensitization consists of three clusters with distinct patterns at different ages. The results of this study will be helpful to allergists in managing patients with atopic diseases.
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