Cluster Analysis of Inhalant Allergens in South Korea: A Computational Model of Allergic Sensitization
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Objectives. Sensitization 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. Methods. Skin 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. Results. Hierarchical 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. Conclusion. Computational 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.
Abstract
Objectives. Sensitization 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. Methods. Skin 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. Results. Hierarchical 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. Conclusion. Computational 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.
참고문헌 (38)
- 박혜정, "Changes in Allergen Sensitization Over The Last 30 Years in Korea Respiratory Allergic Patients: A Single-Center", Allergy, Asthma & Immunology Research, 6(5), pp.434~443 (2014), 대한천식알레르기학회
- 강민규, "Patterns of Inhalant Allergen Sensitization and Geographical Variation in Korean Adults: A Multicenter Retrospective Study", Allergy, Asthma & Immunology Research, 9(6), pp.499~508 (2017), 대한천식알레르기학회
- Shin JH, "How does the pattern of aeroallergen sensitization change over time across all ages?", Int Forum Allergy Rhinol, 7(7), pp.652~659 (2017)
- Yong SB, "Different profiles of allergen sensitization in different ages and geographic areas in Changhua, Taiwan", J Microbiol Immunol Infect, 46(4), pp.295~301 (2013)
- Mehulic M, "Changing pattern of sensitization in Croatia to aeroallergens in adult population referring to allergy clinic during a period of 15 years", Coll Antropol, 35(2), pp.529~536 (2011)
- Veskitkul J, "The development of allergic rhinitis in children previously diagnosed as nonallergic rhinitis", Am J Rhinol Allergy, 27(1), pp.43~47 (2013)
- Linneberg A, "Increasing prevalence of specific IgE to aeroallergens in an adult population: two cross-sectional surveys 8 years apart: the Copenhagen Allergy Study", J Allergy Clin Immunol, 106(2), pp.247~252 (2000)
- Demain JG, "Climate change and the impact on respiratory and allergic disease: 2018", Curr Allergy Asthma Rep, 18(4), pp.22~ (2018)
- D’Amato G, "Climate change and air pollution: effects on pollen allergy and other allergic respiratory diseases", Allergo J Int, 23(1), pp.17~23 (2014)
- D’Amato G, "Climate change, air pollution, and allergic respiratory diseases: an update", Curr Opin Allergy Clin Immunol, 16(5), pp.434~440 (2016)
- Jerrett M, "Long-term ozone exposure and mortality", N Engl J Med, 360(11), pp.1085~1095 (2009)
- McGeachie MJ, "Patterns of growth and decline in lung function in persistent childhood asthma", N Engl J Med, 374(19), pp.1842~1852 (2016)
- McConnell R, "Traffic, susceptibility, and childhood asthma", Environ Health Perspect, 114(5), pp.766~772 (2006)
- Jerrett M, "A cohort study of traffic-related air pollution and mortality in Toronto, Ontario, Canada", Environ Health Perspect, 117(5), pp.772~777 (2009)
- Burbach GJ, "GA(2)LEN skin test study II: clinical relevance of inhalant allergen sensitizations in Europe", Allergy, 64(10), pp.1507~1515 (2009)
- Schmitz R, "Patterns of sensitization to inhalant and food allergens: findings from the German Health Interview and Examination Survey for Children and Adolescents", Int Arch Allergy Immunol, 162(3), pp.263~270 (2013)
- Salo PM, "Prevalence of allergic sensitization in the United States: results from the National Health and Nutrition Examination Survey (NHANES)2005-2006", J Allergy Clin Immunol, 134(2), pp.350~359 (2006)
- Voloshin S, "Patterns of sensitization to inhalant and food allergens among pediatric patients from the Moscow region (Russian Federation)", PLoS One, 13(3), pp.e0194775~ (2018)
- Tjorve KMC, "The use of Gompertz models in growth analyses, and new Gompertz-model approach: an addition to the Unified-Richards family", PLoS One, 12(6), pp.e0178691~ (2017)
- Tjorve E, "A unified approach to the Richards-model family for use in growth analyses: why we need only two model forms", J Theor Biol, 267(3), pp.417~425 (2010)
- Walker S, "Seasonal allergic rhinitis is associated with a detrimental effect on examination performance in United Kingdom teenagers: case-control study", J Allergy Clin Immunol, 120(2), pp.381~387 (2007)
- 이동준, "The Impact of Allergic Rhinitis on Symptom Improvement in Pediatric Patients After Adenotonsillectomy", Clinical and Experimental Otorhinolaryngology, 11(1), pp.52~57 (2018), 대한이비인후과학회[DOI]
- 김민재, "Effect of Adenotonsillectomy on Attention in Korean Children With Sleep-Disordered Breathing", Clinical and Experimental Otorhinolaryngology, 11(3), pp.199~204 (2018), 대한이비인후과학회[DOI]
- Zar HJ, "The changing prevalence of asthma, allergic rhinitis and atopic eczema in African adolescents from 1995 to 2002", Pediatr Allergy Immunol, 18(7), pp.560~565 (2007)
- Maziak W, "Are asthma and allergies in children and adolescents increasing? Results from ISAAC phase I and phase III surveys in Munster, Germany", Allergy, 58(7), pp.572~579 (2003)
- Lee SL, "Increasing prevalence of allergic rhinitis but not asthma among children in Hong Kong from 1995 to 2001(Phase 3 International Study of Asthma and Allergies in Childhood)", Pediatr Allergy Immunol, 15(1), pp.72~78 (2004)
- Pearce N, "Worldwide trends in the prevalence of asthma symptoms: phase III of the International Study of Asthma and Allergies in Childhood (ISAAC)", Thorax, 62(9), pp.758~766 (2007)
- Bjorksten B, "Worldwide time trends for symptoms of rhinitis and conjunctivitis: phase III of the International Study of Asthma and Allergies in Childhood", Pediatr Allergy Immunol, 19(2), pp.110~124 (2008)
- Asher MI, "Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC phases one and three repeat multicountry cross-sectional surveys", Lancet, 368(9537), pp.733~743 (2006)
- Kim SY, "Increased prevalence of self-reported asthma among Korean adults: an analysis of KNHANES I and IV data", Lung, 191(3), pp.281~288 (2013)
- 박윤형, "A 9-year Trend in the Prevalence of Allergic Disease Based on National Health Insurance Data", 예방의학회지, 48(6), pp.301~309 (2015), 대한예방의학회
- 김지현, "Sensitization to Aeroallergens in Korean Children: A Populationbased Study in 2010", Journal of Korean Medical Science, 26(9), pp.1165~1172 (2011), 대한의학회
- Luoma R, "Development of asthma, allergic rhinitis and atopic dermatitis by the age of five years: a prospective study of 543 newborns", Allergy, 38(5), pp.339~346 (1983)
- Olsson P, "Prevalence of self-reported allergic and non-allergic rhinitis symptoms in Stockholm: relation to age, gender, olfactory sense and smoking", Acta Otolaryngol, 123(1), pp.75~80 (2003)
- Shen CY, "The natural course of eczema from birth to age 7 years and the association with asthma and allergic rhinitis: a population-based birth cohort study", Allergy Asthma Proc, 34(1), pp.78~83 (2013)
- Cazzoletti L, "The gender, age and risk factor distribution differs in self-reported allergic and non-allergic rhinitis: a cross-sectional population-based study", Allergy Asthma Clin Immunol, 11, pp.36~ (2015)
- Yu HT, "T cell immunosenescence, hypertension, and arterial stiffness", Epidemiol Health, 36, pp.e2014005~ (2014)
- Maue AC, "T-cell immunosenescence: lessons learned from mouse models of aging", Trends Immunol, 30(7), pp.301~305 (2009)
