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Generation of Human Nasal Epithelial Cell Spheroids for Individualized Cystic Fibrosis Transmembrane Conductance Regulator Study
Published on: April 11, 2018
Calibrating sweat chloride levels to CFTR activity via ETI effects on CF subjects with one or two F508DEL mutations
1Cystic Fibrosis Research Laboratory, Department of Psychology, Human Biology and (by courtesy) Pediatrics, Stanford University, Room 210, Bldg. 420, Jane Stanford Way, Stanford, CA 94305-2130, USA.
Background:
It is difficult to determine CFTR activity following highly effective CFTR modulator therapies (HEMT). The sweat gland provides two biomarkers of CFTR activity: a linear readout via the β-sweat rate and a logarithmic readout via sweat chloride concentration (SCC). In prior work, different logarithmic functions were generated to calibrate SCC with the percent of healthy control CFTR activity (HCCFTR). Two functions, A and B, were fit to SCC means from healthy controls set = 100 % and CF carriers measured as 50 % HCCFTR. A and B differ in the % HCCFTR activity assigned to SCC for minimal function mutations = 0.01 % for A and 1 % for B.
Methods:
Here, the functions are evaluated based on retrospective analysis of three multi-center studies of CF subjects with one or two F508del mutations treated with Elexacaftor/Tezacaftor/Ivacaftor (ETI). Predictions of the percent HCCFTR activity for one vs two mutations were compared for the two functions. The expectation is that after ETI treatment, subjects with two responsive mutations will have 2-fold higher HCCFTR activity than subjects with only one. The hypothesis is that the SCCHCCFTR function that most closely fits that expectation provides the more accurate prediction of CFTR activity.
Results:
In two separate comparisons, function B most accurately predicted a 2-fold (1.9, 2.3-fold) higher level of HCCFTR activity in subjects on ETI with two vs. one responsive mutation. Function A predicted a 4, 5.5-fold higher level.
Conclusions:
Function B predicts that 60 mmol/L SCC, the cutoff for a CF diagnosis, is associated with 10 % HCCFTR activity. Comparing HEMT effects on subjects with one or two mutations provides an additional tool for calibrating SCC to CFTR activity.
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