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High-throughput screening identifies a trafficking corrector for long QT syndrome–associated KCNQ1 variants
Katherine R. Clowes Moster, Carlos G. Vanoye, Ana C. Chang-Gonzalez, Ian M. Romaine, Katherine M. Stefanski, Mason C. Wilkinson, Joshua A. Bauer, Thomas P. Hasaka, Emily L. Days, Reshma R. Desai, Kathryn R. Butcher, Gary A. Sulikowski, Alex G. Waterson, Jens Meiler, Kaitlyn V. Ledwitch, Alfred L. George Jr., Charles R. Sanders
Katherine R. Clowes Moster, Carlos G. Vanoye, Ana C. Chang-Gonzalez, Ian M. Romaine, Katherine M. Stefanski, Mason C. Wilkinson, Joshua A. Bauer, Thomas P. Hasaka, Emily L. Days, Reshma R. Desai, Kathryn R. Butcher, Gary A. Sulikowski, Alex G. Waterson, Jens Meiler, Kaitlyn V. Ledwitch, Alfred L. George Jr., Charles R. Sanders
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Research Article Cardiology Genetics

High-throughput screening identifies a trafficking corrector for long QT syndrome–associated KCNQ1 variants

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Abstract

Congenital long QT syndrome (LQTS) promotes risk for life-threatening cardiac arrhythmia and sudden death in children and young adults. Pathogenic variants in the voltage-gated potassium channel KCNQ1 are the most frequently discovered genetic cause. Most LQTS-associated KCNQ1 variants cause loss of function secondary to impaired trafficking of the channel to the plasma membrane. There are currently no therapeutic approaches that address this underlying molecular defect. Using a high-throughput screening paradigm, we identified VU0494372, a small molecule that increases total and cell surface levels and trafficking efficiency of WT KCNQ1 as well as three LQTS-associated variants. Additionally, 16-hour treatment of cells with VU0494372 increased IKs (KCNQ1-KCNE1 current) for WT KCNQ1 and the LQTS-associated variant V207M in cells coexpressing KCNE1. VU0494372 had no impact on KCNQ1 transcription, degradation, or thermal stability, and increased the rate of KCNQ1 reaching the cell surface. We identified a potential direct interaction site with KCNQ1 at or near the binding site of the KCNQ1 potentiator ML277. Together, these findings demonstrate that small molecules can increase the expression levels and cell surface trafficking efficiency of KCNQ1 and introduce a potential new pharmacological approach for treating LQTS.

Authors

Katherine R. Clowes Moster, Carlos G. Vanoye, Ana C. Chang-Gonzalez, Ian M. Romaine, Katherine M. Stefanski, Mason C. Wilkinson, Joshua A. Bauer, Thomas P. Hasaka, Emily L. Days, Reshma R. Desai, Kathryn R. Butcher, Gary A. Sulikowski, Alex G. Waterson, Jens Meiler, Kaitlyn V. Ledwitch, Alfred L. George Jr., Charles R. Sanders

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Figure 4

VU0494372 effects do not involve modulation of KCNQ1 degradation, transcription, thermal stability, or cell toxicity.

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VU0494372 effects do not involve modulation of KCNQ1 degradation, transc...
(A) Fold change in KCNQ1 mRNA levels, as determined by qPCR, relative to samples treated with 0.1% DMSO. N = 4. P values were calculated with Kruskal-Wallis tests with Dunn’s multiple-comparison test as follow-up. Error bars represent standard deviation. (B) Cycloheximide chase assay to determine the rate of KCNQ1 degradation. Left: Remaining KCNQ1 was detected with Western blotting. Representative full blots are shown in Supplemental Figure 7. Right: KCNQ1 band intensities were normalized to β-actin loading control bands and plotted as a percentage remaining from the 0-hour time point. N = 3 replicates, for which error bars represent standard deviation. Lines of best fit were generated with GraphPad Prism. (C) Left: Thermal aggregation curve from cellular thermal shift assay (CETSA) experiments. Bands corresponding to KCNQ1 were quantified and Tagg values were calculated for N = 3 (VU0494372-treated) or 5 (DMSO-treated) replicates. Curves of best fit were modeled with GraphPad Prism. Right: Tagg quantifications were calculated based on the inflection point of the modeled curves in each individual CETSA replicate. A 2-tailed unpaired t test was used to determine the P value. Error bars on both graphs represent standard deviations. Full representative blots are shown in Supplemental Figure 7. (D) Toxicity of 0.1%–0.2% DMSO or 10–30 μM VU0494372, determined by using trypan blue to assess cell viability. One-way ANOVA with Dunnett’s multiple-comparison follow-up test was used to determine P values. N = 3. Error bars represent standard deviation.

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