The goal of this observational study is to improve the identification of biomarkers that predict disease progression and to assess the effectiveness of current therapies in children with asthma and protracted bacterial bronchitis. The main aim of the study is to evaluate the microbiome composition and diversity, cellular composition, and metabolomic profile. In addition, to assess their correlation on subsequent treatment and disease course in children with asthma, protracted bacterial bronchitis, and in those receiving inhaled glucocorticosteroids without a diagnosis of asthma. Participants will undergo fiberoptic bronchoscopy. During bronchoscopy, the performing physician will collect Bronchoalveolar lavage fluid samples for metagenomic and metabolomic analysis, as well as mucosal biopsies for histopathological evaluation.
This prospective cohort study will enroll 160 participants and allocate them into study arms according to their medical history. The planned arms include: children with asthma, children with protracted bacterial bronchitis, children without asthma who are exposed to inhaled glucocorticosteroids, children with chronic cough, and a control group. Participants will be recruited from the Pediatric Pulmonology Departments of the Medical Universities in Warsaw and Lodz. At baseline, investigators will administer a standardized medical questionnaire approved by both medical centers. All participants will undergo a single fiberoptic bronchoscopy during hospitalization according to clinical indications and with informed consent. During bronchoscopy, bronchoalveolar lavage (BAL) fluid samples will be collected for metagenomic, metabolomic, culture, biochemical, and cytological analyses. Additional mucosal biopsies will be obtained with separate consent if applicable. Follow-up visits will include blood sample collection, sputum sampling (for cooperative children), spirometry, impulse oscillometry, and Fractional Exhaled Nitric Oxide measurements, without repeat bronchoscopy. The bronchoscopy procedure will not be repeated. The study involves analysis of biological samples obtained during clinically indicated bronchoscopy, followed by a 5-year observation period. The findings will aid in distinguishing asthma phenotypes, identifying risk factors for asthma and protracted bacterial bronchitis, and improving the understanding of factors contributing to poor treatment response in these conditions.
Study Type
OBSERVATIONAL
Enrollment
160
During procedure performing physician will evaluate respiratory tract anatomy. Samples of bronchoalveolar lavage fluid will be collected for culture, cellular composition analysis, amphiregulin level, cytokine profiling, metagenomic sequencing, metabolomic assessment, additionally mucosal biopsy will be performed using forceps and brush techniques for histopathological evaluation
5 mL sample of blood will be collected in each individual at baseline and during follow-up visits for complete blood count and Immunoglobulin E levels
At baseline and during each follow-up visit children will perform spirometry, Impulse Oscillometry and Fractional Exhaled Nitric Oxide
At baseline and during first follow-up visit sputum will be collected from each individual for culture
Evaluation on microbiome composition and diversity, cellular composition, and metabolomic profile between study groups
16S rRNA targeted sequencing, Shannon index, Chao1, and Pielou's evenness, Bray-Curtis dissimilarity, weighted UniFrac and unweighted UniFrac measures, PERMANOVA, principal coordinate analysis, ANCOM-BC2, ASVs tables generated by QIIME2 will be used as input for PICRUSt2 to infer functional profiles of the microbiomes, Biocrates' MetIDQ and MetaboAnalystR R package
Time frame: Index hospitalization, immediately after the procedure
Correlation of metagenomic and metabolomic findings on subsequent treatment and disease course between groups
16S rRNA targeted sequencing, Shannon index, Chao1, and Pielou's evenness, Bray-Curtis dissimilarity, weighted UniFrac and unweighted UniFrac measures, PERMANOVA, principal coordinate analysis, ANCOM-BC2, ASVs tables generated by QIIME2 will be used as input for PICRUSt2 to infer functional profiles of the microbiomes, Biocrates' MetIDQ and MetaboAnalystR R package, MANOVA and logistic regression, Cox proportional hazards model
Time frame: 2 years
Comparison of the previous medical history and demographic characteristics across the study groups
MANOVA, neural networks and logistic regression
Time frame: At baseline
Assessment of the degree of asthma control among children diagnosed with asthma according to Global Initiative for Asthma
In children aged ≥5 years using the Asthma Control Questionnaire (ACQ) numeric scale, and in children \<5 years using a questionnaire assessing the preceding month for asthma symptoms occurring more than twice per week, nocturnal cough or insomnia caused by dyspnea, need for short-acting β-mimetics more than twice per week, and physical activity limitations due to dyspnea.
Time frame: 5 years
Evaluation how the place of residence influences the incidence and clinical course of the studied diseases
Residence classified as urban (\>100,000 inhabitants), town (\<100,000 inhabitants), or rural area logistical regression
Time frame: 5 years
Assessment of exposure to PM10 dust at the place of residence during the year preceding study inclusion in children from each group
Data will be obtained from the Chief Environmental Protection Inspectorate website and will include average, minimum, and maximum monthly and annual concentrations, ANOVA/non-parametric tests
Time frame: At baseline
Comparison of the normalized difference vegetation index (NDVI) and chlorophyll index (CI) green levels between study groups at baseline
At place of residence
Time frame: At baseline
Comparison of the sputum culture at baseline and at the control visit
Comparison of fact of growth and number of CFU with Fisher's exact or χ² test
Time frame: 2 years
Comparison of the baseline sputum culture findings with BALF culture and metagenomic results
Comparison of fact of growth and number of CFU with Fisher's exact or χ² test, logistical regression
Time frame: 2 years
Evaluation of the initial Immunoglobulin E (IgE) concentrations and their dynamics of change between groups
Using medians with interquartile ranges and compared using the Mann-Whitney U or Kruskal-Wallis tests
Time frame: 5 years
Comparison of the eosinophil concentrations according to disease type and course
Using medians with interquartile ranges and compared using the Mann-Whitney U or Kruskal-Wallis tests
Time frame: 5 years
Assessment of the correlation between ICS used without an asthma diagnosis and airway dysbiosis
PERMANOVA and logistic regression
Time frame: 2 years
Evaluation of asthma treatment response, exacerbation rates, and need for bronchodilators according to airway metabolome profiles
PERMANOVA and logistic regression
Time frame: 5 years
Comparison of the asthma subtypes and evaluate possibilities for developing personalized treatment in selected pediatric groups
An attempt to assess the presence and relationship of asthma subtypes in relation to metagenomic and metabolomic findings PERMANOVA and logistic regression
Time frame: 2 years
Identification of the most common pathogens cultured from BALF samples in children with asthma, PBB, chronic cough, and in those taking ICS without an asthma diagnosis
descriptive statistics
Time frame: Index hospitalization, immediately after the procedure
Analysis of the frequency and type of antibiotic therapy in each study group and correlate these findings with the total number of respiratory diseases in individual participants.
Cox proportional hazards model
Time frame: 5 years
Evaluation of the recurrence rates of PBB and development of CSLD and BE based on identified airway pathogens
Cox proportional hazards model, descriptive statistics
Time frame: 5 years
Assessment of the prevalence of antibiotic-resistant strains among patients with PBB
descriptive statistics
Time frame: 5 years
Assessment of the time to PBB development in previously healthy children based on metagenomic and metabolomic findings
Cox proportional hazards model
Time frame: 5 years
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