The voltage-gated sodium channel NaV1.5 is essential for cardiac function. Its dysfunction can cause ventricular fibrillation and sudden cardiac death, making it a critical target for therapies aimed at preventing life-threatening arrhythmias. Current treatments, such as implantable cardioverter defibrillators and pacemakers, are invasive and costly. The NaV1.5-CARED consortium seeks to identify regulatory elements and proteins influencing NaV1.5 expression and function, aiming to develop innovative therapies.
The project has three main objectives:
Risk Prediction: Develop polygenic risk scores (PRS) to predict individual risk of fatal arrhythmias.
Mechanistic Insights: Uncover molecular mechanisms linking regulatory regions and cardiac disease to identify new therapeutic targets.
Therapeutic Development: Create therapies to restore NaV1.5 function.
Following database harmonization, whole-genome studies will identify variants linked to arrhythmias and conduction defects, enabling PRS development for risk stratification. Identified targets will be tested in high-throughput models using cardiomyocytes derived from induced pluripotent stem cells.
Impact on Cardiology Practice
The project will reshape clinical management of Brugada syndrome (BrS) patients, where currently only SCN5A mutations (found in 20% of cases) are considered for genetic risk. Introducing PRS will improve risk stratification and individualized care, reducing unnecessary device implantation. The first therapy restoring NaV1.5 function will further transform treatment options, moving beyond current device-based interventions.
Personalized care in CardioVascular Disease (CVD)
BrS-PRS has already shown potential for identifying individuals with conduction abnormalities in the general population. Interestingly, genetic variants linked to BrS appear protective against atrial fibrillation, a common arrhythmia.
Beyond the Project's Scope
NaV1.5-CARED will develop hiPSC-derived cardiomyocyte models for high-throughput analysis of NaV1.5 expression, localization, and sodium current density. These models could also be used to test drug safety, aligning with CiPA guidelines for assessing proarrhythmic risks.