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ENaCbeta and gamma genes as modifier genes in cystic fibrosis

Authors :
Marion, Viel
Chrystel, Leroy
Dominique, Hubert
Isabelle, Fajac
Thierry, Bienvenu
Source :
Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society. 7(1)
Publication Year :
2007

Abstract

Clinical phenotype varies among cystic fibrosis (CF) patients with identical CF transmembrane conductance regulator (CFTR)genotype, suggesting that genetic modifiers exist. Transgenic mice that overexpress SCNN1beta present CF-like lung disease symptoms. Mutations or variants in SCNN1beta may therefore potentially modulate the clinical phenotype in CF patients.We analysed by DHPLC SCNN1beta and SCNN1gamma genes in 56 patients with classical CF. Patients were classified into two groups according to their CFTR genotype and their severity: 38 patients with severe genotype and an unexpectedly mild lung phenotype, and 18 patients with mild genotype and a severe lung phenotype.We found 3 patients out of 56 carrying at least one missense mutation. Two were novel (p.Thr313Met in SCNN1beta, p.Leu481Gln in SCNN1gamma) and two were previously described (p.Gly589Ser in SCNN1beta and p.Val546Ileu in SCNNgamma). p.Thr313Met has been identified in a CF patient with mild genotype and severe lung phenotype suggesting that it could act in increasing ENaC activity. The three other variants have been identified in CF patients with severe genotype and mild lung phenotype suggesting that they might decrease ENaC activity. However, the function of ENaC in the nasal epithelia of these patients, evaluated by nasal potential difference measurements, did not support the fact that these variants were functional, at least in nasal epithelium.Our results suggest that genetic variants in ENaCbeta and gamma genes do not modulate disease severity in the majority of CF patients.

Details

ISSN :
15691993
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society
Accession number :
edsair.pmid..........c0471f7deeb7610fbafb7d71040c218a