The role of bronchial challenge test in guiding therapy in preschool children with atypical recurrent respiratory symptoms.

OBJECTIVE: This retrospective observational cohort study aimed to assess the real-life application of bronchial challenge test (BCT) in the management of preschool children presenting with atypical recurrent respiratory symptoms (ARRS). METHODS: We included children aged 0.5-6 years referred to a pediatric-pulmonology clinic who underwent BCT using methacholine or adenosine between 2012 and 2018 due to ARRS. BCT was considered positive based on spirometry results and/or wheezing, desaturation, and tachypnea reactions. We collected data on demographics, BCT results, pre-BCT and post-BCT treatment changes, and 3-6 months post-BCT compliance and symptom control. The primary outcome measure was the change in treatment post-BCT (step-up or step-down). RESULTS: A total of 228 children (55% males) with a mean age of 4.2 ± 0.6 years underwent BCT (52% adenosine-BCT, 48% methacholine-BCT). Children referred for methacholine were significantly younger compared with adenosine (3.6 ± 1.2 vs. 4.2 ± 1.2 years, p < .01). Methacholine and adenosine BCTs were positive in 95% and 61%, respectively. Overall, changes in management were observed in 122 (53.5%) children following BCT, with 83 (36.4%) being stepped up and 37 (17%) being stepped down. Significantly more children in the methacholine group were stepped up compared with the adenosine group (46% vs. 28%, p = .004). During the follow-up assessment, we observed a clinical improvement in 119/162 (73.4%) of the children, with nearly 87% being compliant. CONCLUSION: This study demonstrates the importance of BCT in the management of preschool children presenting to pediatric pulmonary units with ARRS. The change in treatment and subsequent clinical improvement observed highlight the added value of BCT to the pulmonologist.

Can bronchial challenge test with adenosine or methacholine at preschool age predict school-age asthma?

OBJECTIVE: Bronchial challenge test (BCT) measures current airways-hyperreactivity, however, its predictive role in pre-school children (<6 years) for the diagnosis of asthma at school age is still debatable. We aimed to find whether preschool children with a positive adenosine or methacholine BCT are more prone to asthma at school age. METHODS: We included children aged 6-13 years with respiratory symptoms that were previously referred to our pulmonary function laboratory for BCT (methacholine or adenosine, depending on the question asked) at age 10 months to 6 years (baseline). BCT was considered positive based on spirometry results or wheezing, desaturation, and tachypnea reactions. The primary outcome measure was asthma diagnosis at school age using the well-validated International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. We used logistic regression analysis to explore whether positive BCT could predict school-age asthma while including age and collected modified asthma predictive index in the model. RESULTS: One hundred and fifty-one of 189 children (53% males), completed the ISAAC questionnaire (response rate = 80%). Mean ages at BCT and at follow-up were 3.9 ± 1.28 and 9.4 ± 1.85 years, respectively. At baseline, 40 of 67 had a positive adenosine test and 73 of 84 had a positive methacholine BCT. Thirty-nine children were diagnosed with asthma at school age. Logistic regression analysis showed that a positive adenosine test at pre-school age was the best predictor, significantly increasing the odds of asthma at school age by 6.34 (95% CI: 1.23-32.81, p = .028), while methacholine did not show significance (p = .69). CONCLUSION: Choosing the relevant BCT for the question asked, positive adenosine, but not methacholine test, at pre-school, may predict asthma at school age.

Analysis of rat cardiac myocytes and fibroblasts identifies combinatorial enhancer organization and transcription factor families.

Cardiac fibroblasts play key roles in both health and disease. Their regulatory elements, transcription factors (TFs), and mechanisms of expression control have not been fully elucidated. We used a differential open chromatin approach, coupled with active enhancer mark, transcriptomic, and computational TFs binding analysis to map cell-type-specific active enhancers in cardiac fibroblasts and cardiomyocytes, and outline the TFs families that control them. This approach was validated by its ability to uncover the known cardiomyocyte TF biology in an unbiased manner, and was then applied to cardiac fibroblasts. We identified Tead, Sox9, Smad, Tcf, Meis, Rbpj, and Runx1 as the main cardiac fibroblasts TF families. Our analysis shows that in both cell types, distal enhancers, containing concentrated combinatorial clusters of multiple tissue expressed TFs recognition motifs, are combinatorically clustered around tissue specific genes. This model for tissue specific gene expression in the heart supports the general "billboard" model for enhancer organization.