A Precision Medicine Approach to Optimize Modulator Therapy for Rare CFTR Folding Mutants.
A Precision Medicine Approach to Optimize Modulator Therapy for Rare CFTR Folding Mutants.
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DOI:
10.3390/jpm11070643
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发表时间:
2021-07-07
影响因子:
--
通讯作者:
Lukacs GL
中科院分区:
文献类型:
--
作者:
Veit G;Velkov T;Xu H;Vadeboncoeur N;Bilodeau L;Matouk E;Lukacs GL
Trikafta, a triple-combination drug, consisting of folding correctors VX-661 (tezacaftor), VX-445 (elexacaftor) and the gating potentiator VX-770 (ivacaftor) provided unprecedented clinical benefits for patients with the most common cystic fibrosis (CF) mutation, F508del. Trikafta indications were recently expanded to additional 177 mutations in the CF transmembrane conductance regulator (CFTR). To minimize life-long pharmacological and financial burden of drug administration, if possible, we determined the necessary and sufficient modulator combination that can achieve maximal benefit in preclinical setting for selected mutants. To this end, the biochemical and functional rescue of single corrector-responsive rare mutants were investigated in a bronchial epithelial cell line and patient-derived human primary nasal epithelia (HNE), respectively. The plasma membrane density of P67L-, L206W- or S549R-CFTR corrected by VX-661 or other type I correctors was moderately increased by VX-445. Short-circuit current measurements of HNE, however, uncovered that correction comparable to Trikafta was achieved for S549R-CFTR by VX-661 + VX-770 and for P67L- and L206W-CFTR by the VX-661 + VX-445 combination. Thus, introduction of a third modulator may not provide additional benefit for patients with a subset of rare CFTR missense mutations. These results also underscore that HNE, as a precision medicine model, enable the optimization of mutation-specific modulator combinations to maximize their efficacy and minimize life-long drug exposure of CF patients.
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DOI:
10.1016/j.jbc.2021.100595
发表时间:
2021-01
期刊:
The Journal of biological chemistry
影响因子:
--
作者:
Choi M;Park S;Yi JK;Kwon W;Jang S;Kim SY;Yu W;Kim MO;Ryoo ZY;Choi SK
通讯作者:
Choi SK
影响因子:
168.9
作者:
Heijerman, Harry G. M.;McKone, Edward F.;Mccoy, Karen S.
通讯作者:
Mccoy, Karen S.
影响因子:
64.8
作者:
DALEMANS, W;BARBRY, P;LAZDUNSKI, M
通讯作者:
LAZDUNSKI, M
DOI:
10.1038/nrg3849
发表时间:
2015-01
期刊:
Nature reviews. Genetics
影响因子:
--
作者:
通讯作者:
--
影响因子:
--
作者:
Farinha, Carlos M.;King-Underwood, John;Amaral, Margarida D.
通讯作者:
Amaral, Margarida D.