Clinical trial NCT01116414: Molecular Phenotypes for Cystic Fibrosis Lung Disease
Official title: Molecular Phenotypes for Cystic Fibrosis Lung Disease
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Cystic Fibrosis
Lung Diseases
Lead sponsor: University of North Carolina, Chapel Hill
Sponsor class: OTHER
Collaborators: name: National Heart, Lung, and Blood Institute (NHLBI)
First posted: 2010-05-05
Enrollment: 152
Sex: ALL
Minimum age (years): 15
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: CF patients who have the same CFTR genetic background, i.e., homozygous deltaF508, and who are at the extremes of pulmonary phenotype, i.e., the most severe and mildest lung disease.

Brief summary: The purpose of this study is to develop an integrated view of molecular mechanisms underlying CF lung disease severity.

Detailed description: BACKGROUND:

Cystic fibrosis (CF) is a recessive genetic disorder caused by mutations in CF transmembrane conductance regulator (CFTR) gene. CF has multi-organ involvement, but respiratory disease is the major cause of morbidity and mortality. The median age of survival in CF is only 37 years, but there is a broad range of disease severity in the lung, even among patients with identical CFTR genotypes, including deltaF508 homozygotes.

DESIGN NARRATIVE:

This project holds great promise for defining a robust molecular phenotype for CF lung disease, which relates to prognosis, and new targets for therapy. By using a large and well-defined population of deltaF508 homozygotes who also have whole genome single nucleotide polymorphism (SNP) data, and by studying gene expression across the whole transcriptome in a large number of samples of two relevant tissues (respiratory epithelium and transformed lymphocytes), we will be uniquely positioned to develop an integrated view of molecular mechanisms underlying CF lung disease severity.

Eligibility criteria: Inclusion Criteria:

* Diagnosed with CF
* Participation in Genetic Modifiers of CF Lung Disease study (NCT00037765)

Exclusion Criteria:

* History of lung transplant
* Fully anticoagulated or clotting abnormalities
* Large nosebleed in the last 2 months
* Acutely ill

Primary outcomes:
Secondary outcomes:
Other outcomes:
Locations:
city: Baltimore
country: United States
facility: Johns Hopkins University
state: Maryland
city: Chapel Hill
country: United States
facility: The University of North Carolina at Chapel Hill
state: North Carolina
city: Cleveland
country: United States
facility: Case Western Reserve University
state: Ohio
Study officials:
affiliation: University of North Carollina at Chapel Hill
name: Michael Knowles, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Drumm ML, Konstan MW, Schluchter MD, Handler A, Pace R, Zou F, Zariwala M, Fargo D, Xu A, Dunn JM, Darrah RJ, Dorfman R, Sandford AJ, Corey M, Zielenski J, Durie P, Goddard K, Yankaskas JR, Wright FA, Knowles MR; Gene Modifier Study Group. Genetic modifiers of lung disease in cystic fibrosis. N Engl J Med. 2005 Oct 6;353(14):1443-53. doi: 10.1056/NEJMoa051469.
citation: O'Neal WK, Gallins P, Pace RG, Dang H, Wolf WE, Jones LC, Guo X, Zhou YH, Madar V, Huang J, Liang L, Moffatt MF, Cutting GR, Drumm ML, Rommens JM, Strug LJ, Sun W, Stonebraker JR, Wright FA, Knowles MR. Gene expression in transformed lymphocytes reveals variation in endomembrane and HLA pathways modifying cystic fibrosis pulmonary phenotypes. Am J Hum Genet. 2015 Feb 5;96(2):318-28. doi: 10.1016/j.ajhg.2014.12.022. Epub 2015 Jan 29.
citation: Polineni D, Dang H, Gallins PJ, Jones LC, Pace RG, Stonebraker JR, Commander LA, Krenicky JE, Zhou YH, Corvol H, Cutting GR, Drumm ML, Strug LJ, Boyle MP, Durie PR, Chmiel JF, Zou F, Wright FA, O'Neal WK, Knowles MR. Airway Mucosal Host Defense Is Key to Genomic Regulation of Cystic Fibrosis Lung Disease Severity. Am J Respir Crit Care Med. 2018 Jan 1;197(1):79-93. doi: 10.1164/rccm.201701-0134OC.
citation: Dang H, Polineni D, Pace RG, Stonebraker JR, Corvol H, Cutting GR, Drumm ML, Strug LJ, O'Neal WK, Knowles MR. Mining GWAS and eQTL data for CF lung disease modifiers by gene expression imputation. PLoS One. 2020 Nov 30;15(11):e0239189. doi: 10.1371/journal.pone.0239189. eCollection 2020.