Clinical Trial Details
— Status: Active, not recruiting
Administrative data
NCT number |
NCT02976714 |
Other study ID # |
UF9745 |
Secondary ID |
|
Status |
Active, not recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
December 12, 2016 |
Est. completion date |
December 2021 |
Study information
Verified date |
October 2021 |
Source |
University Hospital, Montpellier |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The general aims of this project are (i) to identify predictive epigenetic biomarkers of lung
disease severity in Cystic Fibrosis, (ii) to characterize a non-invasive cellular model,
spontaneous sputum, for the analysis of these epigenetic biomarkers, (iii) to analyze the
variations in DNA methylation for a same patient over time.
Description:
Cystic Fibrosis (CF) is an autosomal recessive disease resulting from mutations in the CFTR
gene. CFTR encodes a chloride channel, mainly expressed at the apical membrane of epithelial
cells. CFTR dysfunction induces mucus thickening, causing multiple disorders in respiratory,
digestive and reproductive tracts. In CF patients, lung disease is the main cause of
morbidity and mortality, and its severity is variable among CF patients, even among those
with the same genotype. This clinical variability depends on two factors: genetic (complex
alleles of CFTR gene and modifier genes) and environmental factors. Genetic factors have been
largely explored, and several modifier genes have been identified. By contrast, environmental
factors are still poorly known. It is well established that environmental factors modify the
phenotype by acting on epigenetic marks (i.e. DNA methylation, histone modification) present
in the genome. Epigenetic modifications regulate and modulate gene expression.
In a previous we profiled DNA methylation genome-wide in nasal epithelial cell samples from
32 CF patients and 24 healthy controls. CF patients homozygous for the p.Phe508del mutation
and >18-years-old were stratified according to the lung disease severity. Through this study,
we identified 187 genomic regions (CpG dinucleotides) differentially methylated between CF
patients with mild lung disease and CF patients with severe lung disease. The present project
aims at identifying predictive epigenetic biomarkers of lung disease severity, among these
187 regions. While the previous study was carried out on genomic DNA extracted from nasal
epithelial cells, in the present project we will use a non-invasive model: spontaneous
sputum.
Hypothesis: some differentially methylated genomic regions between mild and severe CF
patients can be used as predictive epigenetic biomarkers of lung disease severity in cystic
fibrosis.
Objectives: (i) to identify predictive epigenetic biomarkers of lung disease severity among
the differentially methylated genomic regions between mild and severe CF patients, (ii) to
characterize a non-invasive cellular model, spontaneous sputum, for the analysis of
epigenetic biomarkers of lung disease severity in CF, (iii) to analyze the variations in DNA
methylation for a same patient over time (at time of inclusion, 6 months, 12 months and 18
months)