Identification of atopic dermatitis subgroups in children from 2 longitudinal birth cohorts.

BACKGROUND: Atopic dermatitis (AD) is a prevalent disease with variable natural history. Longitudinal birth cohort studies provide an opportunity to define subgroups on the basis of disease trajectories, which may represent different genetic and environmental pathomechanisms. OBJECTIVES: We sought to investigate the existence of distinct longitudinal phenotypes of AD and test whether these findings are reproducible in 2 independent cohorts. METHODS: The presence of AD was examined in 2 birth cohort studies including 9894 children from the United Kingdom (ALSPAC) and 3652 from the Netherlands (PIAMA). AD was defined by parental report of a typical itchy and/or flexural rash. Longitudinal latent class analysis was used to investigate patterns of AD from birth to the age of 11 to 16 years. We investigated associations with known AD risk factors, including FLG null mutations, 23 other established AD-genetic risk variants, and atopic comorbidity. RESULTS: Six latent classes were identified, representing subphenotypes of AD, with remarkable consistency between the 2 cohorts. The most prevalent class was early-onset-early-resolving AD, which was associated with male sex. Two classes of persistent disease were identified (early-onset-persistent and early-onset-late-resolving); these were most strongly associated with the AD-genetic risk score as well as personal and parental history of atopic disease. A yet unrecognized class of mid-onset-resolving AD, not associated with FLG mutations, but strongly associated with asthma, was identified. CONCLUSIONS: Six classes based on temporal trajectories of rash were consistently identified in 2 population-based cohorts. The differing risk factor profiles and diverse prognoses demonstrate the potential importance of a stratified medicine approach for AD.

Genetic regulation of IL1RL1 methylation and IL1RL1-a protein levels in asthma.

Interleukin-1 receptor-like 1 (IL1RL1) is an important asthma gene. (Epi)genetic regulation of IL1RL1 protein expression has not been established. We assessed the association between IL1RL1 single nucleotide polymorphisms (SNPs), IL1RL1 methylation and serum IL1RL1-a protein levels, and aimed to identify causal pathways in asthma.Associations of IL1RL1 SNPs with asthma were determined in the Dutch Asthma Genome-wide Association Study cohort and three European birth cohorts, BAMSE (Children/Barn, Allergy, Milieu, Stockholm, an Epidemiological survey), INMA (Infancia y Medio Ambiente) and PIAMA (Prevention and Incidence of Asthma and Mite Allergy), participating in the Mechanisms of the Development of Allergy study. We performed blood DNA IL1RL1 methylation quantitative trait locus (QTL) analysis (n=496) and (epi)genome-wide protein QTL analysis on serum IL1RL1-a levels (n=1462). We investigated the association of IL1RL1 CpG methylation with asthma (n=632) and IL1RL1-a levels (n=548), with subsequent causal inference testing. Finally, we determined the association of IL1RL1-a levels with asthma and its clinical characteristics (n=1101).IL1RL1 asthma-risk SNPs strongly associated with IL1RL1 methylation (rs1420101; p=3.7×10-16) and serum IL1RL1-a levels (p=2.8×10-56). IL1RL1 methylation was not associated with asthma or IL1RL1-a levels. IL1RL1-a levels negatively correlated with blood eosinophil counts, whereas there was no association between IL1RL1-a levels and asthma.In conclusion, asthma-associated IL1RL1 SNPs strongly regulate IL1RL1 methylation and serum IL1RL1-a levels, yet neither these IL1RL1-methylation CpG sites nor IL1RL1-a levels are associated with asthma.

Predicting who will have asthma at school age among preschool children.

It is difficult to distinguish at preschool age whether a wheezing child will or will not have asthma at school age. A prediction rule for asthma in preschool children might help to determine a prognosis and to study improvements in treatment and prevention. This review discusses (1) the development and use of clinical prediction rules, (2) the European Respiratory Society Task Force classification of wheeze at preschool age, (3) published prediction rules developed to identify preschool children who will have asthma at school age, and (4) recommendations to improve asthma prediction. Prediction rules are currently created more frequently, yet their clinical use remains low. The classification of episodic wheeze and multiple-trigger wheeze in preschool children shows conflicting results as to whether episodic wheeze and multiple-trigger wheeze differ in clinical features and has limited value in predicting asthma at school age. Clearly, more studies are needed to confirm this. Currently available prediction rules aiming to identify preschool children having asthma at school age are of modest clinical value. Prediction can be improved by more precise definitions and measures and, ultimately, by more knowledge of pathophysiologic mechanisms. In the future, biomarkers and genomic risk profiles to develop personalized medicine might further improve asthma prediction, treatment, and prevention.

Interleukin-1 receptor-like 1 polymorphisms are associated with serum IL1RL1-a, eosinophils, and asthma in childhood.

BACKGROUND: IL-1 receptor-like 1 (IL1RL1) is a membrane receptor involved in T(H)2 inflammatory responses and eosinophilia. Single nucleotide polymorphisms (SNPs) in IL1RL1 have been associated with blood eosinophil counts in a genome-wide association study and with asthma in family-based and case-control studies. OBJECTIVE: We assessed in the prospective birth cohort Prevention and Incidence of Asthma and Mite Allergy (PIAMA) whether IL1RL1 SNPs associate with levels of its soluble transcript IL1RL1 (IL1RL1-a) in serum, blood eosinophil counts, and asthma prevalence from birth to age 8 years, and whether IL1RL1-a serum levels associate with blood eosinophil counts. METHODS: Fifteen IL1RL1 SNPs were genotyped. Serum IL1RL1-a levels were measured in 2 independent subsets within PIAMA, at 4 and 8 years. Blood eosinophil counts were measured in 4-year-old children. RESULTS: In 2 independent subsets of children, 13 of 15 SNPs were associated with serum IL1RL1-a levels at ages 4 and 8 years with a consistent direction of effect for each allele. Rs11685480 allele A and rs1420102 allele A were significantly associated with lower numbers of blood eosinophils. In the total cohort, rs1041973 allele A was associated with a decreased risk of developing asthma (odds ratio, 0.70; 95% CI, 0.54-0.90). Rs1420101, recently identified in a genome-wide association study in the Icelandic population, was not associated with asthma in this study. IL1RL1-a levels were not associated with eosinophil counts. CONCLUSION: We demonstrate that IL1RL1 polymorphisms are associated with serum IL1RL1-a, blood eosinophils, and asthma in childhood.

Nocturnal dry cough in the first 7 years of life is associated with asthma at school age.

BACKGROUND: Childhood wheeze is an important, well-known risk factor for asthma, yet little is known about the contribution of nocturnal dry cough. We investigated the association of nocturnal dry cough at ages 1-7 years with doctor-diagnosed asthma at 8 years of age, both in the presence and absence of wheeze. METHODS: Data of 3,252 children from the PIAMA birth cohort were studied. Parents reported the presence of nocturnal dry cough, wheeze, and doctor-diagnosed asthma in the past 12 months yearly, from birth up to the age of 8 years. RESULTS: Nocturnal dry cough without wheeze was significantly associated with doctor-diagnosed asthma at age 8, except for age 1 (range of Relative Risks (RR) at ages 2-7: 1.8 (age 5) - 7.1 (age 7), all P-values <0.048). As expected, wheeze without nocturnal dry cough was strongly associated with doctor-diagnosed asthma at age 8 (range of RR: 2.0 (age 1) - 22.2 (age 7), all P-values <0.003). Of interest, nocturnal dry cough with wheeze showed the strongest association with doctor-diagnosed asthma at age 8 (range of RR: 3.7 (age 1) - 26.0 (age 7), all P-values <0.001). The relative excess risk of asthma at age 8 due to interaction of nocturnal dry cough with wheeze at age 1 year was 1.8 (0.1-3.6, P < 0.01). CONCLUSION: Nocturnal dry cough and wheeze in early childhood are both independently associated with asthma at school age. The presence of both nocturnal dry cough and wheeze at age 1 almost doubles the risk of asthma at age 8 compared to wheeze alone.