Content area

Abstract

Genetic diseases such as ion channelopathies substantially burden human health. Existing treatments are limited and not genotype specific. Here, we report a 2-step high-throughput approach to rapidly identify drug candidates for repurposing as genotype-specific therapy. We first screened 1,680 medicines using a thallium-flux trafficking assay against Kv11.1 gene variants causing long QT syndrome (LQTS), an ion channelopathy associated with fatal cardiac arrhythmia. We identified evacetrapib as a suitable drug candidate that improves membrane trafficking and activates channels. We then used deep mutational scanning to prospectively identify all Kv11.1 missense variants in an LQTS hotspot region responsive to treatment with evacetrapib. Combining high-throughput drug screens with deep mutational scanning establishes a paradigm for mutation-specific drug discovery translatable to personalized treatment of carriers with rare genetic disorders.

Details

1009240
Business indexing term
Company / organization
Title
High-throughput screens identify genotype-specific therapeutics for channelopathies
Publication title
JCI Insight; Ann Arbor
Volume
10
Issue
22
Number of pages
16
Publication year
2025
Publication date
Nov 2025
Section
Research Articles
Publisher
American Society for Clinical Investigation
Place of publication
Ann Arbor
Country of publication
United States
Publication subject
e-ISSN
23793708
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-24
Milestone dates
2025-09-30 (Publication)
Publication history
 
 
   First posting date
24 Nov 2025
ProQuest document ID
3276533842
Document URL
https://www.proquest.com/scholarly-journals/high-throughput-screens-identify-genotype/docview/3276533842/se-2?accountid=208611
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-29
Database
ProQuest One Academic