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A Cohort for Inflammatory Respiratory Diseases: From Phenotyping to Personalised Medicine

Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY

Chronic inflammatory pulmonary diseases, including asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, cystic fibrosis (CF), primary ciliary dyskinesia (PCD) and interstitial lung diseases (ILD) are characterised by lung inflammation and remodelling. Clinical, functional, microbiological, biological, pathological and prognostic features are highly variable and heterogeneous. Several phenotypes have been described within the same pathology, as similar phenotypic traits between different pathologies, or the coexistence of components of several diagnoses in the same patient, suggesting shared underlying mechanisms that could represent new therapeutic targets, beyond the initial medical diagnosis. The objectives of this prospective study are to analyze the phenotypic characteristics (clinical, demographic, biological, morphological, pathological, and microbiological characteristics) together with respiratory exposures and underlying mechanisms involving airway epithelium and inflammation processes in a cohort of patients diagnosed with asthma, COPD, bronchiectasis, CF, PCD and ILD.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:

• Age ≥ 18 years

• Follow-up for one of the following conditions: asthma, COPD, bronchiectasis (DDB), cystic fibrosis (CF), primary ciliary dyskinesia (PCD), or interstitial lung diseases (ILD)

• Healthy volunteers (controls)

Locations
Other Locations
France
Chu Reims
RECRUITING
Reims
Contact Information
Primary
Jeanne-Marie PEROTIN-COLLARD
jmperotin-collard@chu-reims.fr
03 10 73 67 63
Backup
Gaëtan DESLEE
gdeslee@chu-reims.fr
03 26 78 76 11
Time Frame
Start Date: 2025-09-15
Estimated Completion Date: 2040-09-15
Participants
Target number of participants: 470
Sponsors
Leads: CHU de Reims

This content was sourced from clinicaltrials.gov