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Forskolin-induced Swelling in Intestinal Organoids: An In Vitro Assay for Assessing Drug Response in Cystic Fibrosis Patients
Published on: February 11, 2017
The implications of CFTR structural studies for cystic fibrosis drug development
Isabelle Callebaut1, Brice Hoffmann1, Jean-Paul Mornon1
1CNRS UMR7590, Sorbonne Universités, Université Pierre et Marie Curie - Paris 6 - MNHN - IRD - IUC, Paris, France.
Abstract:
Development of Cystic Fibrosis Transmembrane conductance Regulator (CFTR) modulators, targeting the root cause of cystic fibrosis (CF), represents a challenge in the era of personalized medicine, as CFTR mutations lead to a variety of phenotypes, which likely require different, specific treatments. CF drug development is also complicated by the need to preserve the right balance between stability and flexibility, required for optimal function of the CFTR protein. In this review, we highlight how structural data can be exploited in this context to understand the molecular mechanisms of disease-associated mutations, to characterize the mechanisms of action of known modulators and to rationalize the search for novel, specific compounds.
Insights
Developing Cystic Fibrosis Transmembrane conductance Regulator (CFTR) modulators is complex due to diverse CFTR mutations and the need for protein stability. Structural data aids in understanding mutations and designing targeted CFTR therapies.
Area of Science:
- Biochemistry
- Pharmacology
- Genetics
Background:
- Cystic Fibrosis (CF) is caused by mutations in the Cystic Fibrosis Transmembrane conductance Regulator (CFTR) gene.
- Developing effective CFTR modulators is challenging due to the wide range of CFTR mutation-associated phenotypes.
- Personalized medicine approaches are needed for CF treatment.
Purpose of the Study:
- To review the role of structural data in CFTR modulator development.
- To understand disease mechanisms and CFTR protein function.
- To guide the discovery of novel, specific CFTR-targeting compounds.
Main Methods:
- Analysis of existing structural data for CFTR.
- Characterization of CFTR mutation mechanisms.
- Review of known CFTR modulator mechanisms of action.
Main Results:
- Structural data provides insights into CFTR mutation effects.
- Understanding CFTR protein dynamics is crucial for modulator design.
- Structural information can rationalize the search for new CFTR therapies.
Conclusions:
- Exploiting structural data is key to advancing CFTR modulator development.
- Targeted therapies require a deep understanding of CFTR molecular mechanisms.
- Structural biology is essential for personalized medicine in CF.
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