Nasal Epithelium Gene Expression Profiling in Child Respiratory Allergic
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Allergic Rhinitis
- Sponsor
- Centre Hospitalier Universitaire de Nice
- Enrollment
- 80
- Locations
- 1
- Primary Endpoint
- Transcriptome analysis: genes statistically modulated between groups, predictive biomarkers allowing correct classification of groups
- Status
- Completed
- Last Updated
- 16 years ago
Overview
Brief Summary
Using a human pangenomic microarray, the researchers established expression profiles of nasal epithelial cells, collected by brushing of patients belonging to one of four distinct groups:
- allergic rhinitis to dust mite (AR) isolated (n=12),
- AR associated with bronchial hyperreactivity (n=12),
- AR associated with asthma (n=14),
- control (n=14).
Detailed Description
Context: Asthma is the most frequent chronic disease in childhood. Allergic rhinitis has been described as a risk factor to develop asthma. The objective of the study was to evaluate the contribution of the respiratory epithelium to development of allergic rhinitis and asthma and to identify the molecular mechanisms driving rhinitis toward asthma. Methods: Using a human pangenomic microarray, we established expression profiles of nasal epithelial cells, collected by brushing of patients belonging to one of four distinct children 2 to 18 years of age groups: 1. allergic rhinitis to dust mite (AR) isolated (n=12), 2. AR associated with bronchial hyperreactivity (n=12), 3. AR associated with asthma (n=14), 4. control (n=14).
Investigators
Eligibility Criteria
Inclusion Criteria
- •Patients between 6 and 17 years old
- •Patients with allergic rhinitis
- •Patients between 6 and 17 years old
- •Patients without allergic rhinitis and asthma
Exclusion Criteria
- •Rhino-bronchitis infection dated from less than 15 days
- •Patients younger than 6 or older than 17 years
Outcomes
Primary Outcomes
Transcriptome analysis: genes statistically modulated between groups, predictive biomarkers allowing correct classification of groups
Time Frame: At the sample time
Secondary Outcomes
- Validation with other techniques: Q-PCR(At the sample time)