Congenital long QT syndrome (LQTS) is a heritable disease that carries an increased risk of sudden cardiac death due to cardiac arrhythmia. LQTS affects 1 in 3000 individuals and results in approximately 4,000 deaths annually. While significant advances have been made in our understanding of the molecular pathogenesis of LQTS, treatment options remain limited. The mainstay of pharmacologic therapy remains beta-blockade, which often provides incomplete and unreliable protection against life-threatening arrhythmias. Thus, many patients require implantable cardioverter defibrillators which are invasive, and carry significant short and long-term risks including inappropriate shocks and infection. Because LQT patients are often young at presentation they bear the risk and morbidity of multiple ICD generator changes and lead revisions. Marked interspecies variation in cardiac repolarization has created significant barriers in identification of animal models of LQTS. Over the last several years, our laboratory has contributed to the development of a zebrafish model of cardiac electrophysiology. Using this model we have demonstrated the faithful reproduction of both genetic and chemical perturbations of repolarization. The zebrafish mutant break-dance carries a mutation in the potassium channel gene, KCNH2, which is the gene mutated in human long QT type 2 (LQT2). Type 2 LQTS is responsible for approximately one third of all human long QT cases. The KCNH2 encoded channel is also the target of every QT prolonging drug identified to date. In preliminary data we show that the zebrafish break-dance mutant recapitulates several key features of human long QT2 syndrome. The break-dance mutation, I59S, results in a protein that does not undergo complex glycosylation or trafficking to the plasma membrane, similar to the majority of human LQT2 cases studied to date. In a manual pilot screen of 1200 small molecules, we have identified two compounds that suppress the zebrafish LQT2 phenotype. In a secondary screen, we demonstrate that these compounds shorten the ventricular action potential duration in our LQT2 model. These preliminary results from a small manual pilot screen support a large scale screening effort. In this proposal we detail plans to automate our zebrafish LQT assay in order to identify small molecules that suppress the zebrafish long QT phenotype in the following Specific Aims: 1. To develop an automated assay for detection of the zebrafish LQT phenotype. 2. To test the hypothesis that whole-organism HTS is feasible using the zebrafish LQT model. The biologic complexity of cardiac electrophysiology as well as the lack of validated drug targets in Long QT Syndrome demands screening in an intact organism. The assays described in this application will be unique tools for discovering small molecules and therapeutic targets that specifically address the underlying physiologic defect in LQTS, serving an as yet unmet clinical need.

Public Health Relevance

Congenital long QT syndrome is a genetic disease that carries an increased risk of sudden cardiac death due to cardiac arrhythmia and for which current therapies are inadequate. In this proposal we detail plans to automate a zebrafish assay of long QT syndrome in order to identify new compounds that could be used to treat this disease. The studies described in this application will provide unique tools for discovering small molecules and therapeutic targets that specifically address the underlying problem in LQTS, serving an as yet unmet clinical need.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL109004-02
Application #
8328584
Study Section
Instrumentation and Systems Development Study Section (ISD)
Program Officer
Wang, Lan-Hsiang
Project Start
2011-09-05
Project End
2014-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
2
Fiscal Year
2012
Total Cost
$441,911
Indirect Cost
$192,244
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Wang, Xinchen; Tucker, Nathan R; Rizki, Gizem et al. (2016) Discovery and validation of sub-threshold genome-wide association study loci using epigenomic signatures. Elife 5:
Durst, Ronen; Sauls, Kimberly; Peal, David S et al. (2015) Mutations in DCHS1 cause mitral valve prolapse. Nature 525:109-13
Dina, Christian; Bouatia-Naji, Nabila; Tucker, Nathan et al. (2015) Genetic association analyses highlight biological pathways underlying mitral valve prolapse. Nat Genet 47:1206-11
Mahida, Saagar; Mills, Robert W; Tucker, Nathan R et al. (2014) Overexpression of KCNN3 results in sudden cardiac death. Cardiovasc Res 101:326-34
Leyton-Mange, Jordan S; Mills, Robert W; Macri, Vincenzo S et al. (2014) Rapid cellular phenotyping of human pluripotent stem cell-derived cardiomyocytes using a genetically encoded fluorescent voltage sensor. Stem Cell Reports 2:163-70
Kokel, David; Cheung, Chung Yan J; Mills, Robert et al. (2013) Photochemical activation of TRPA1 channels in neurons and animals. Nat Chem Biol 9:257-63
Chen, Jenny X; Krane, Markus; Deutsch, Marcus-Andre et al. (2012) Inefficient reprogramming of fibroblasts into cardiomyocytes using Gata4, Mef2c, and Tbx5. Circ Res 111:50-5
Wu, Sean M; Milan, David J (2012) Reprogramming the beat: kicking it up a notch. Circulation 126:1009-11