Automated blood sampling in canine telemetry studies: Enabling enhanced assessments of cardiovascular liabilities and safety margins

Abstract

IntroductionA successful integration of automated blood sampling (ABS) into the telemetry instrumented canine cardiovascular model is presented in this study. This combined model provides an efficient means to quickly gain understanding of potential effects on key cardiovascular parameters in dog while providing a complete Pharmacokinetic/Pharmacodynamic (PK/PD) profile for discovery compounds without handling artifacts, reducing the need for a separate pharmacokinetic study. MethodsMale beagle dogs were chronically implanted with telemetry devices (PhysioTel™ model D70-PCTP) and vascular access ports (SPMID-GRIDAC-5NC). BASi Culex-L automated blood sampling (Bioanalytical Systems, Inc) system was used to collect blood samples at multiple time points. A series of four use cases utilizing four different test compounds and analytical endpoints are described to illustrate some of the potential applications of the technique. ResultsIn the four presented use cases, automated blood sampling in telemetry instrumented dogs provides simultaneous cardiovascular (heart rate, arterial blood pressure, and left ventricular pressure), electrophysiological assessment (QTc, PR, and QRS intervals), body temperature, and animal activity, while collecting multiple blood samples for drug analysis. ConclusionThe combination of automated blood sampling with cardiovascular telemetry monitoring is a novel capability designed to support safety pharmacology cardiovascular assessment of discovery molecules. By combining telemetry and high-fidelity ABS, the model provides an enhanced PK/PD understanding of drug-induced hemodynamic and electrocardiographic effects of discovery compounds in conscious beagles in the same experimental session. Importantly, the model can reduce the need for a separate pharmacokinetic study (positive reduction 3R impact), reduces compound syntheses requirements, and shorten development timelines. Furthermore, implementation of this approach has also improved animal welfare by reducing the animal handling during a study, thereby reducing stress and associated data artifacts (positive refinement 3R impact).