Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modelling and imaging cardiac repolarization abnormalities.

Y Rudy1

  • 1Cardiac Bioelectricity and Arrhythmia Center (CBAC), Washington University in St Louis, St Louis, MO 63130-4899, USA. rudy@wustl.edu

Journal of Internal Medicine
|December 13, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Interpretable manifold learning for T-wave alternans assessment with electrocardiographic imaging.

Engineering applications of artificial intelligence·2026
Same author

Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.

Progress in biophysics and molecular biology·2011
Same author

A role for calcium/calmodulin-dependent protein kinase II in cardiac disease and arrhythmia.

Handbook of experimental pharmacology·2006
Same author

The ionic mechanisms of conduction in cardiac tissue.

Journal of electrocardiology·2002
Same author

Noninvasive electrocardiogram imaging of substrate and intramural ventricular tachycardia in infarcted hearts.

Journal of the American College of Cardiology·2001
Same author

Ionic charge conservation and long-term steady state in the Luo-Rudy dynamic cell model.

Biophysical journal·2001
Same journal

Expected survival is decreased in hereditary hemorrhagic telangiectasia: Results from a population-based registry study.

Journal of internal medicine·2026
Same journal

Genomic Medicine Sweden: Advancing precision medicine at the national level.

Journal of internal medicine·2026
Same journal

Patients with hereditary hemorrhagic telangiectasia have significantly reduced overall survival-And likely by a greater magnitude than we realize.

Journal of internal medicine·2026
Same journal

Social jet lag is associated with incident cardiovascular disease independent of sleep duration and cardiac genetic risk.

Journal of internal medicine·2026
Same journal

Multicenter validation of a severity index model for predicting postoperative acute kidney injury.

Journal of internal medicine·2026
Same journal

The changing epidemiology of human type 2 diabetes-associated atherosclerosis: Pathophysiological mechanisms and emerging treatment possibilities.

Journal of internal medicine·2026
See all related articles

Computational biology links HER2 mutations to cardiac arrhythmias and long QT syndrome (LQT). New imaging techniques may aid in LQT diagnosis and treatment, improving patient risk stratification.

Area of Science:

  • Cardiology
  • Computational Biology
  • Genetics

Background:

  • Repolarization abnormalities, such as those in long QT syndrome (LQT), can lead to dangerous heart arrhythmias.
  • Understanding the mechanisms linking genetic mutations to these abnormalities is crucial for effective treatment.

Purpose of the Study:

  • To mechanistically link HERG mutations to whole-cell action potential abnormalities using computational biology.
  • To investigate the role of I(Ks) kinetics in repolarization and repolarization reserve.
  • To evaluate the potential of electrocardiographic imaging for LQT syndrome management.

Main Methods:

  • Computational modeling to simulate the effects of HERG mutations on cardiac action potentials.
  • Analysis of the kinetic properties of the slow delayed rectifier potassium current (I(Ks)).

Related Experiment Videos

  • Application of a novel noninvasive imaging technique, electrocardiographic imaging (ECGI).

    • Main Results:

    • HERG mutations were mechanistically linked to action potential abnormalities.
    • Specific kinetic properties of I(Ks), influenced by molecular interactions, were shown to be vital for repolarization.
    • Electrocardiographic imaging successfully visualized cardiac repolarization on the epicardial surface.

    Conclusions:

    • Computational biology provides a framework for understanding LQT syndrome mechanisms.
    • I(Ks) kinetics play a significant role in cardiac repolarization and repolarization reserve.
    • Electrocardiographic imaging shows promise for risk stratification, diagnosis, and treatment of LQT syndrome.