
This is the first study to demonstrate that the long-QT syndrome type 3 (LQT3) phenotype can be exacerbated or concealed by regulating extracellular sodium concentrations and/or the intercalated disc separation. The animal experiments and computational modeling in the current study reveal a critically important clinical implication: sodium dysregulation in the presence of edema within the intercalated disc can markedly increase the risk of arrhythmia in LQT3. These findings strongly suggest that maintaining extracellular sodium within normal physiological limits may be an effective and inexpensive therapeutic option for patients with congenital or acquired sodium channel gain-of-function diseases.
Male, Edema, Cardiac, Hypernatremia, Guinea Pigs, Sodium, Models, Cardiovascular, Action Potentials, Isolated Heart Preparation, NAV1.5 Voltage-Gated Sodium Channel, Disease Models, Animal, Long QT Syndrome, Cnidarian Venoms, Heart Rate, Animals, Computer Simulation, Myocytes, Cardiac
Male, Edema, Cardiac, Hypernatremia, Guinea Pigs, Sodium, Models, Cardiovascular, Action Potentials, Isolated Heart Preparation, NAV1.5 Voltage-Gated Sodium Channel, Disease Models, Animal, Long QT Syndrome, Cnidarian Venoms, Heart Rate, Animals, Computer Simulation, Myocytes, Cardiac
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
