Component-resolved diagnosis in childhood and prediction of asthma in early adolescence: A birth cohort study.
allergen
asthma
component-resolved diagnosis
molecular sensitization
prediction
Journal
Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology
ISSN: 1399-3038
Titre abrégé: Pediatr Allergy Immunol
Pays: England
ID NLM: 9106718
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
revised:
14
11
2023
received:
23
04
2023
accepted:
15
11
2023
medline:
26
12
2023
pubmed:
26
12
2023
entrez:
26
12
2023
Statut:
ppublish
Résumé
Component-resolved diagnosis (CRD) has been decisive in exploring the mechanisms of IgE sensitization, but the predictive ability to detect asthma has not been addressed. We aim to develop and evaluate the performance of a personalized predictive algorithm for asthma that integrates information on allergic sensitization using CRD. One thousand one hundred one twenty-five children from the Generation XXI birth cohort were randomly selected to perform a screening test for allergic sensitization and a subsample was characterized using CRD against 112 allergen components. Allergen components were analyzed using volcano plots and partial least squares (PLS) analysis. Logistic regression was performed to assess the associations between the obtained latent components (LC) and allergic outcomes (asthma, rhinitis, eczema) including other potential predictors used in previous asthma risk scores. The accuracy of the model in predicting asthma was assessed using Receiver Operating Characteristic (ROC) curve statistics. In the PLS, the first LC was positively associated with asthma, rhinitis, and eczema. This LC was mainly driven by positive weights for Der p 1/2/23, Der f 1/2, and Fel d 1. The main components in the second LC were pollen and food allergens. History of early wheezing and parental allergy were included in the predictive model and the area under the curve improved to 0.82. This is the first approach to improve the clinical applicability of CRD by combining CRD and clinical data to predict asthma at 13 years. Sensitization to distinct allergen molecules seems relevant to improve the accuracy of asthma prediction models.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e14056Subventions
Organisme : Fundação para a Ciência e a Tecnologia
Organisme : fundo social europeu (FSE)
Organisme : Programa operacional de Saúde
Informations de copyright
© 2023 European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.
Références
Custovic A, Sonntag HJ, Buchan IE, Belgrave D, Simpson A, Prosperi MCF. Evolution pathways of IgE responses to grass and mite allergens throughout childhood. J Allergy Clin Immunol. 2015;136(6):1645-1652.e8.
Howard R, Belgrave D, Papastamoulis P, Simpson A, Rattray M, Custovic A. Evolution of IgE responses to multiple allergen components throughout childhood. J Allergy Clin Immunol. 2018;142(4):1322-1330.
Hose AJ, Depner M, Illi S, et al. Latent class analysis reveals clinically relevant atopy phenotypes in 2 birth cohorts. J Allergy Clin Immunol. 2017;139(6):1935-1945.e12.
Barber D, Diaz-Perales A, Escribese MM, et al. Molecular allergology and its impact in specific allergy diagnosis and therapy. Allergy. 2021;76(12):3642-3658.
Martinez-Aranguren R, Lizaso MT, Goikoetxea MJ, et al. Is the determination of specific IgE against components using ISAC 112 a reproducible technique? PloS One. 2014;9(2):e88394. doi:10.1371/journal.pone.0088394
Biagini Myers JM, Schauberger E, He H, et al. A pediatric asthma risk score to better predict asthma development in young children. J Allergy Clin Immunol. 2019;143(5):1803-1810.e2.
Castro-Rodríguez JA, Holberg CJ, Wright AL, Martinez FD. A clinical index to define risk of asthma in young children with recurrent wheezing. Am J Respir Crit Care Med. 2000;162(4 Pt 1):1403-1406.
Castro-Rodriguez JA, Cifuentes L, Martinez FD. Predicting asthma using clinical indexes. Front Pediatr. 2019;7:320.
Matricardi PM, Kleine-Tebbe J, Hoffmann HJ, et al. EAACI molecular Allergology User's guide. Pediatr Allergy Immunol. 2016;27(Suppl 23):1-250.
Asarnoj A, Hamsten C, Waden K, et al. Sensitization to cat and dog allergen molecules in childhood and prediction of symptoms of cat and dog allergy in adolescence: a BAMSE/MeDALL study. J Allergy Clin Immunol. 2016;137(3):813-821.e7.
Hemmings O, Niazi U, Kwok M, et al. Combining allergen components improves the accuracy of Peanut allergy diagnosis. J Allergy Clin Immunol Pract. 2022;10(1):189-199.
Akarsu A, Ocak M, Sahiner UM, Soyer O, Sekerel BE. Multiplex component-based allergen macroarray test is useful to predict clinical reactivity to tree nuts in children. Allergol Int. 2022;71(2):236-247.
Resch Y, Michel S, Kabesch M, Lupinek C, Valenta R, Vrtala S. Different IgE recognition of mite allergen components in asthmatic and nonasthmatic children. J Allergy Clin Immunol. 2015;136(4):1083-1091. doi:10.1016/j.jaci.2015.03.024
Larsen PS, Kamper-Jorgensen M, Adamson A, et al. Pregnancy and birth cohort resources in Europe: a large opportunity for aetiological child health research. Paediatr Perinat Epidemiol. 2013;27(4):393-414.
Asher MI, Keil U, Anderson HR, et al. International study of asthma and allergies in childhood (ISAAC): rationale and methods. Eur Respir J. 1995;8(3):483-491.
Carter JV, Pan J, Rai SN, Galandiuk S. ROC-ing along: evaluation and interpretation of receiver operating characteristic curves. Surgery. 2016;159(6):1638-1645.
Youden WJ. Index for rating diagnostic tests. Cancer. 1950;3:32-35.
Goncalves JP, Severo M, Rocha C, Jardim J, Mota T, Ribeiro A. Performance of PRISM III and PELOD-2 scores in a pediatric intensive care unit. Eur J Pediatr. 2015;174(10):1305-1310.
Chang TS, Lemanske RF Jr, Guilbert TW, et al. Evaluation of the modified asthma predictive index in high-risk preschool children. J Allergy Clin Immunol Pract. 2013;1(2):152-156.
Amin P, Levin L, Epstein T, et al. Optimum predictors of childhood asthma: persistent wheeze or the asthma predictive index? J Allergy Clin Immunol Pract. 2014;2(6):709-715.
Posa D, Perna S, Resch Y, et al. Evolution and predictive value of IgE responses toward a comprehensive panel of house dust mite allergens during the first 2 decades of life. J Allergy Clin Immunol. 2017;139(2):541-549 e8.
Gabet S, Ranciere F, Just J, et al. Asthma and allergic rhinitis risk depends on house dust mite specific IgE levels in PARIS birth cohort children. World Allergy Organ J. 2019;12(9):100057.
Siroux V, Boudier A, Bousquet J, et al. Trajectories of IgE sensitization to allergen molecules from childhood to adulthood and respiratory health in the EGEA cohort. Allergy. 2022;77(2):609-618.
Burbach GJ, Heinzerling LM, Edenharter G, et al. GA(2)LEN skin test study II: clinical relevance of inhalant allergen sensitizations in Europe. Allergy. 2009;64(10):1507-1515.
Silva D, Severo M, Paciencia I, et al. Setting definitions of childhood asthma in epidemiologic studies. Pediatr Allergy Immunol. 2019;30(7):708-715.
Matricardi PM, Illi S, Gruber C, et al. Wheezing in childhood: incidence, longitudinal patterns and factors predicting persistence. Eur Respir J. 2008;32(3):585-592. doi:10.1183/09031936.00066307
Klaassen EM, van de Kant KD, Jobsis Q, et al. Exhaled biomarkers and gene expression at preschool age improve asthma prediction at 6 years of age. Am J Respir Crit Care Med. 2015;191(2):201-207.