Cystic Fibrosis
Conditions
Brief summary
The present application proposes to study the role the composition of the pediatric CF airway microbiota plays in frequent pulmonary exacerbations in pediatric CF patients. In order to accomplish this goal the dynamics of the composition of the CF airway microbiota in two distinct subsets of pediatric patients with CF will be characterized, those with frequent pulmonary exacerbations and clinically stable children. Clinical measures of pulmonary function, patient reported symptoms, sleep quality, and antibiotic usage will be recorded, and these findings will be correlated with the lung microbiota data. This strategy promises to identify the key characteristics of the pediatric CF microbiota, which can in turn be used as noninvasive markers to identify those patients at a higher risk for experiencing repeated pulmonary exacerbations.
Detailed description
Acute pulmonary exacerbations cause significant morbidity in the lives of children with cystic fibrosis (CF). As the etiologies of exacerbations continue to be defined, characterizing the role of the pulmonary microbiota in chronic infection and inflammation provides an opportunity for insight into the pathophysiology of CF. This point is particularly true for a subset of pediatric CF patients with severe disease and frequent exacerbations. The present application proposes to test the overall hypothesis that the composition of the pediatric CF airway microbiota plays an etiologic role in frequent pulmonary exacerbations in pediatric CF patients. To address the working hypothesis, next-generation sequencing based 16S rRNA sequencing will be undertaken to dissect the microbiome of pediatric CF patients subject to frequent pulmonary exacerbations, relative to the microbiome in clinically stable CF patients. This strategy promises to more specifically and definitively identify the key characteristics of the pediatric CF microbiota that are associated with the occurrence of exacerbations. Record clinical measures of pulmonary function, patient reported symptoms, sleep quality, and antibiotic usage, and correlate these findings with the lung microbiota data. This insight would in turn provide noninvasive biomarkers to identify those patients at a higher risk for experiencing repeated pulmonary exacerbations, which over the long-term significantly compromise lung function.
Interventions
None listed
Sponsors
Stanford University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
No minimum to 22 Years
Healthy volunteers
No
Inclusion criteria
Pulmonary Exacerbation Cohort Inclusion Criteria: 1. Diagnosis of CF (: a. One or more clinical features of CF AND (b or c); b. Sweat chloride \> 60 mEq/L; c. Two known CF mutations) 2. 3 or more admissions with an admitting diagnosis of pulmonary exacerbation, requiring IV antibiotics, within the 12 month period prior to study enrollment. Clinically Stable Disease Cohort Inclusion Criteria: 1. Diagnosis of CF (: a. One or more clinical features of CF AND (b or c); b. Sweat chloride \> 60 mEq/L; c. Two known CF mutations) 2. Age and gender matched to Pulmonary Exacerbation Cohort 3. No hospitalizations with an admitting diagnosis of pulmonary exacerbation, within the 12 month period prior to study enrollment.
Exclusion criteria
for both groups includes: 1. History of intolerance or inability to tolerate the induced sputum protocol. 2. History of organ transplantation. 3. Any patient that in discretion of the investigators is not suitable. 4. Any clinically unstable participants.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in lung microbiome profile | Baseline - 3 years | Lung microbiome in Cystic Fibrosis pulmonary exacerbations |
Countries
United States
Outcome results
None listed