Grant: Project Grant
McGill University
$753,525.00
Rational optimization of CFTR modulators and assessment of predictive potential of novel cystic fibrosis (CF) airway epithelial models for clinical outcome
EF 2016-17
Résumé
The cystic fibrosis (CF) protein (CFTR) resides at the cell surface and ensures normal water and ion composition of the liquid that lines the airway. CF mutations impair CFTR function and the composition of the airway surface liquid layer. This leads to lung infection and uncontrolled inflammation, the primary cause of premature death in CF. Robust correction of these defects has been achieved for only 9 rare mutations, by ivacaftor, representing a small subset of >2000 mutations, corresponding to ~5% of the CF patient population. The recently approved FDA drug combination of lumacaftor and ivacaftor (Orkambi) targets the most common mutation with variable clinical benefit: 50% of patients gained >5% (FEV1) lung function, while the others showed no or only very modest benefit, indicating a substantial variability of responsiveness. Importantly, the drug susceptibility of most other CFTR mutations, which may be correctable, is still unexplored. To overcome the limited efficacy of the available drugs, there is unmet need for authentic and validated model systems for preclinical investigations. We will implement novel "primary" cell based models derived from noninvasively collected nasal epithelial cells. Based on our preliminary data, this model will maintain patient specific hallmarks of airways cells expressing rare CF mutations. To complement this approach, we will generate 60 of the rare mutations in respiratory epithelial cell lines and use these models for testing approved drugs and optimizing novel combinations of investigational CF drugs in functional and biochemical assays. Promising combinations will be validated in human airway cells and their effect will be compared to their clinical benefit to identify mutation and patient specific treatment protocols.
Programme
Project Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
358504
Name
Lukacs Gergely L
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Circulatory and Respiratory Health
Theme2
Biomedical
Prcname2
Project Grant Competition
Projecttitle
Rational optimization of CFTR modulators and assessment of predictive potential of novel cystic fibrosis (CF) airway epithelial models for clinical outcome
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$753,525
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Airway Epithelia; Cystic Fibrosis; Drug Targets; Folding Defect; Functional Defect; Ion Transport; Mutation Mechanism; Pharmacology
Abstract
The cystic fibrosis (CF) protein (CFTR) resides at the cell surface and ensures normal water and ion composition of the liquid that lines the airway. CF mutations impair CFTR function and the composition of the airway surface liquid layer. This leads to lung infection and uncontrolled inflammation, the primary cause of premature death in CF. Robust correction of these defects has been achieved for only 9 rare mutations, by ivacaftor, representing a small subset of >2000 mutations, corresponding to ~5% of the CF patient population. The recently approved FDA drug combination of lumacaftor and ivacaftor (Orkambi) targets the most common mutation with variable clinical benefit: 50% of patients gained >5% (FEV1) lung function, while the others showed no or only very modest benefit, indicating a substantial variability of responsiveness. Importantly, the drug susceptibility of most other CFTR mutations, which may be correctable, is still unexplored. To overcome the limited efficacy of the available drugs, there is unmet need for authentic and validated model systems for preclinical investigations. We will implement novel "primary" cell based models derived from noninvasively collected nasal epithelial cells. Based on our preliminary data, this model will maintain patient specific hallmarks of airways cells expressing rare CF mutations. To complement this approach, we will generate 60 of the rare mutations in respiratory epithelial cell lines and use these models for testing approved drugs and optimizing novel combinations of investigational CF drugs in functional and biochemical assays. Promising combinations will be validated in human airway cells and their effect will be compared to their clinical benefit to identify mutation and patient specific treatment protocols.
Competitiondate
201610
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Lukacs, Gergely L
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $753,525~ $0~