- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02976714
Identification of Predictive Epigenetic Biomarkers of Lung Disease Severity in Cystic Fibrosis (MethylBiomark)
Study Overview
Detailed 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)
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Montpellier, France, 34295
- Uhmontpellier
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- free and informed consent obtained, and consent signed
- subject covered by a state insurance scheme
- women and men aged 12 to 30
- subject affected by cystic fibrosis, carrier of two severe mutations in trans (in the same allele) in the CFTR gene
- subject able to realize a spirometry before and during the study
Exclusion Criteria:
- subject in an exclusion period of a previous study
- subject placed under judicial protection, guardianship or supervision
- impossibility to give informed information to the subject
- subject who does not read fluently French
- pregnancy
- breastfeeding
- transplanted subject
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Other: CF patients
CF patients carry a spontaneous sputum that is made in the context of bronchial drainage sessions conducted as part of usual care.
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CF patients carry a spontaneous sputum that is made in the context of bronchial drainage sessions conducted as part of usual care (inclusion, 6 months, 12 months, 18 months). The collection of spontaneous sputum is carried out within the bronchial drainage sessions, which are routinely performed at each visit. The spontaneous sputum is collected in a sterile container. In order not to contaminate the sputum with buccal epithelial cells will be asked patients to rinse the mouth before expectorate. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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DNA methylation
Time Frame: at time of inclusion
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Spontaneous expectoration at baseline
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at time of inclusion
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DNA methylation
Time Frame: 6 months
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Spontaneous expectoration at 6 months
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6 months
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DNA methylation
Time Frame: 12 months
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Spontaneous expectoration at 12 months
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12 months
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DNA methylation
Time Frame: 18 months
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Spontaneous expectoration at 18 months
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18 months
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Davide CAIMMI, University Hospital, Montpellier
Publications and helpful links
General Publications
- Efthimiadis A, Spanevello A, Hamid Q, Kelly MM, Linden M, Louis R, Pizzichini MM, Pizzichini E, Ronchi C, Van Overvel F, Djukanovic R. Methods of sputum processing for cell counts, immunocytochemistry and in situ hybridisation. Eur Respir J Suppl. 2002 Sep;37:19s-23s. doi: 10.1183/09031936.02.00001902. No abstract available.
- Audrezet MP, Munck A, Scotet V, Claustres M, Roussey M, Delmas D, Ferec C, Desgeorges M. Comprehensive CFTR gene analysis of the French cystic fibrosis screened newborn cohort: implications for diagnosis, genetic counseling, and mutation-specific therapy. Genet Med. 2015 Feb;17(2):108-16. doi: 10.1038/gim.2014.113. Epub 2014 Aug 14.
- Bergougnoux A, Rivals I, Liquori A, Raynal C, Varilh J, Magalhaes M, Perez MJ, Bigi N, Des Georges M, Chiron R, Squalli-Houssaini AS, Claustres M, De Sario A. A balance between activating and repressive histone modifications regulates cystic fibrosis transmembrane conductance regulator (CFTR) expression in vivo. Epigenetics. 2014 Jul;9(7):1007-17. doi: 10.4161/epi.28967. Epub 2014 Apr 29.
- Bergougnoux A, Claustres M, De Sario A. Nasal epithelial cells: a tool to study DNA methylation in airway diseases. Epigenomics. 2015;7(1):119-26. doi: 10.2217/epi.14.65.
- Besaratinia A, Maas LM, Brouwer EM, Kleinjans JC, Van Schooten FJ. Comparison between smoking-related DNA adduct analysis in induced sputum and peripheral blood lymphocytes. Carcinogenesis. 2000 Jul;21(7):1335-40. doi: 10.1093/carcin/21.7.1335.
- Brennan ML, Schrijver I. Cystic Fibrosis: A Review of Associated Phenotypes, Use of Molecular Diagnostic Approaches, Genetic Characteristics, Progress, and Dilemmas. J Mol Diagn. 2016 Jan;18(1):3-14. doi: 10.1016/j.jmoldx.2015.06.010. Epub 2015 Nov 26.
- Clarke LA, Sousa L, Barreto C, Amaral MD. Changes in transcriptome of native nasal epithelium expressing F508del-CFTR and intersecting data from comparable studies. Respir Res. 2013 Mar 28;14(1):38. doi: 10.1186/1465-9921-14-38.
- Collaco JM, Blackman SM, McGready J, Naughton KM, Cutting GR. Quantification of the relative contribution of environmental and genetic factors to variation in cystic fibrosis lung function. J Pediatr. 2010 Nov;157(5):802-7.e1-3. doi: 10.1016/j.jpeds.2010.05.018. Epub 2010 Jun 30.
- Corvol H, Thompson KE, Tabary O, le Rouzic P, Guillot L. Translating the genetics of cystic fibrosis to personalized medicine. Transl Res. 2016 Feb;168:40-49. doi: 10.1016/j.trsl.2015.04.008. Epub 2015 Apr 15.
- Cutting GR. Modifier genes in Mendelian disorders: the example of cystic fibrosis. Ann N Y Acad Sci. 2010 Dec;1214:57-69. doi: 10.1111/j.1749-6632.2010.05879.x.
- Eckrich J, Zissler UM, Serve F, Leutz P, Smaczny C, Schmitt-Grohe S, Fussbroich D, Schubert R, Zielen S, Eickmeier O. Airway inflammation in mild cystic fibrosis. J Cyst Fibros. 2017 Jan;16(1):107-115. doi: 10.1016/j.jcf.2016.05.016. Epub 2016 Jun 11.
- Gu Y, Harley IT, Henderson LB, Aronow BJ, Vietor I, Huber LA, Harley JB, Kilpatrick JR, Langefeld CD, Williams AH, Jegga AG, Chen J, Wills-Karp M, Arshad SH, Ewart SL, Thio CL, Flick LM, Filippi MD, Grimes HL, Drumm ML, Cutting GR, Knowles MR, Karp CL. Identification of IFRD1 as a modifier gene for cystic fibrosis lung disease. Nature. 2009 Apr 23;458(7241):1039-42. doi: 10.1038/nature07811. Epub 2009 Feb 25.
- Guzman L, Depix MS, Salinas AM, Roldan R, Aguayo F, Silva A, Vinet R. Analysis of aberrant methylation on promoter sequences of tumor suppressor genes and total DNA in sputum samples: a promising tool for early detection of COPD and lung cancer in smokers. Diagn Pathol. 2012 Jul 20;7:87. doi: 10.1186/1746-1596-7-87.
- Hanrahan JW, Sampson HM, Thomas DY. Novel pharmacological strategies to treat cystic fibrosis. Trends Pharmacol Sci. 2013 Feb;34(2):119-25. doi: 10.1016/j.tips.2012.11.006.
- Magalhaes M, Rivals I, Claustres M, Varilh J, Thomasset M, Bergougnoux A, Mely L, Leroy S, Corvol H, Guillot L, Murris M, Beyne E, Caimmi D, Vachier I, Chiron R, De Sario A. DNA methylation at modifier genes of lung disease severity is altered in cystic fibrosis. Clin Epigenetics. 2017 Feb 14;9:19. doi: 10.1186/s13148-016-0300-8. eCollection 2017.
- Magalhaes M, Tost J, Pineau F, Rivals I, Busato F, Alary N, Mely L, Leroy S, Murris M, Caimmi D, Claustres M, Chiron R, De Sario A. Dynamic changes of DNA methylation and lung disease in cystic fibrosis: lessons from a monogenic disease. Epigenomics. 2018 Aug;10(8):1131-1145. doi: 10.2217/epi-2018-0005. Epub 2018 Jul 27.
- McCarthy C, Dimitrov BD, Meurling IJ, Gunaratnam C, McElvaney NG. The CF-ABLE score: a novel clinical prediction rule for prognosis in patients with cystic fibrosis. Chest. 2013 May;143(5):1358-1364. doi: 10.1378/chest.12-2022.
- Ogilvie V, Passmore M, Hyndman L, Jones L, Stevenson B, Wilson A, Davidson H, Kitchen RR, Gray RD, Shah P, Alton EW, Davies JC, Porteous DJ, Boyd AC. Differential global gene expression in cystic fibrosis nasal and bronchial epithelium. Genomics. 2011 Nov;98(5):327-36. doi: 10.1016/j.ygeno.2011.06.008. Epub 2011 Jul 2.
- Oreo KM, Gibson PG, Simpson JL, Wood LG, McDonald VM, Baines KJ. Sputum ADAM8 expression is increased in severe asthma and COPD. Clin Exp Allergy. 2014 Mar;44(3):342-52. doi: 10.1111/cea.12223.
- Pineau F, Caimmi D, Magalhaes M, Fremy E, Mohamed A, Mely L, Leroy S, Murris M, Claustres M, Chiron R, De Sario A. Blood co-expression modules identify potential modifier genes of diabetes and lung function in cystic fibrosis. PLoS One. 2020 Apr 17;15(4):e0231285. doi: 10.1371/journal.pone.0231285. eCollection 2020.
- Schluchter MD, Konstan MW, Drumm ML, Yankaskas JR, Knowles MR. Classifying severity of cystic fibrosis lung disease using longitudinal pulmonary function data. Am J Respir Crit Care Med. 2006 Oct 1;174(7):780-6. doi: 10.1164/rccm.200512-1919OC. Epub 2006 Jul 20.
- Sood A, Petersen H, Blanchette CM, Meek P, Picchi MA, Belinsky SA, Tesfaigzi Y. Methylated Genes in Sputum Among Older Smokers With Asthma. Chest. 2012 Aug;142(2):425-431. doi: 10.1378/chest.11-2519.
- van Eijk KR, de Jong S, Boks MP, Langeveld T, Colas F, Veldink JH, de Kovel CG, Janson E, Strengman E, Langfelder P, Kahn RS, van den Berg LH, Horvath S, Ophoff RA. Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects. BMC Genomics. 2012 Nov 17;13:636. doi: 10.1186/1471-2164-13-636.
- Wright JM, Merlo CA, Reynolds JB, Zeitlin PL, Garcia JG, Guggino WB, Boyle MP. Respiratory epithelial gene expression in patients with mild and severe cystic fibrosis lung disease. Am J Respir Cell Mol Biol. 2006 Sep;35(3):327-36. doi: 10.1165/rcmb.2005-0359OC. Epub 2006 Apr 13.
- Pineau F, Caimmi D, Taviaux S, Reveil M, Brosseau L, Rivals I, Drevait M, Vachier I, Claustres M, Chiron R, De Sario A. DNA Methylation at ATP11A cg11702988 Is a Biomarker of Lung Disease Severity in Cystic Fibrosis: A Longitudinal Study. Genes (Basel). 2021 Mar 19;12(3):441. doi: 10.3390/genes12030441.
- Tost J, Caimmi D, Pastore M, Reynes C, Busato F, Pineau F, Claustres M, Vachier I, Chiron R, De Sario A. DNA methylation predicts lung function and pulmonary exacerbation in sputum samples from patients with cystic fibrosis. Clin Epigenetics. 2025 Dec 5;18(1):10. doi: 10.1186/s13148-025-02032-6.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- RECHMPL16_0256
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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