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Nasal Epithelium Gene Expression Profiling in Child Respiratory Allergic Disease

Not Applicable
Completed
Conditions
Allergic Rhinitis
Interventions
Procedure: Collection of nasal epithelial cells
Registration Number
NCT00569361
Lead Sponsor
Centre Hospitalier Universitaire de Nice
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:

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).

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).

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
80
Inclusion Criteria

Patients:

  • Patients between 6 and 17 years old
  • Patients with allergic rhinitis

Witness:

  • 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

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
ACollection of nasal epithelial cellsCollection of nasal epithelial cells by brushing
Primary Outcome Measures
NameTimeMethod
Transcriptome analysis: genes statistically modulated between groups, predictive biomarkers allowing correct classification of groupsAt the sample time
Secondary Outcome Measures
NameTimeMethod
Validation with other techniques: Q-PCRAt the sample time

Trial Locations

Locations (1)

Department of Pediatrics, Nice University Hospital

🇫🇷

Nice, France

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