Ventricular rate adaptation: A novel, rapid, cellular-based in-vitro assay to identify proarrhythmic and torsadogenic compounds

IntroductionDelayed cardiac repolarization is an established risk factor for proarrhythmia and Torsades-de-Pointes (TdeP) that is typically measured in vitro during slow, regular stimulation. We have developed an alternative, novel, and rapid cellular-based approach for predicting drug-induced proarrhythmia that detects changes in electrical refractoriness based on mechanical responses (measured optically) during increasingly rapid trains of stimulation interspersed with pauses (mimicking the clinically observed short–long–short (SLS) stimulation sequence associated with the TdeP initiation).MethodsAcutely isolated rabbit ventricular myocytes were superfused and electrically stimulated using an accelerating pacing protocol (APP) consisting of 12 consecutive pacing segments (10 beats per segment) with incrementally faster cycle lengths; trains were separated by pauses to identify loss of stimulus capture as well as to mimic clinically observed SLS sequences. Drug effects were evaluated based on a myocyte's ability to contract during progressively faster pacing segments (rate-adaptation); the earliest rate during which the myocyte fails to respond (longest cycle length with incomplete capture (CLIC)) was used to quantify electrophysiologic effects.ResultsTorsadogenic drugs known to delay repolarization during slow stimulation prolonged CLIC and dramatically limited the ability to respond to progressively rapid stimulation. The recognized proarrhythmic compounds E-4031, cisapride, grepafloxacin, and haloperidol rapidly prolonged CLIC at and above therapeutic concentrations in a concentration-dependent manner, while negative controls (captopril, indomethacin, and loratidine) do not affect rate-adaptation.DiscussionVentricular rate adaptation represents a novel approach for rapidly detecting drugs with torsadogenic risk using rapid rhythms that are typically not employed when evaluating proarrhythmic risk. This method is well suited for detecting and avoiding potential cardiac liabilities early in drug discovery (“frontloading”) prior to final selection of candidate drugs.