Automated Blood Sampling in a Canine Telemetry Cardiovascular Model
Amanda S Wilsey1, Yevgeniya E Koshman2, Debra A Weisbecker3
1Department of Safety Pharmacology, Abbvie, North Chicago, Illinois;,
Comparative Medicine
|April 5, 2021
Summary
Automated blood sampling in canine telemetry models enables simultaneous cardiovascular and drug analysis. This refined approach improves efficiency and reduces animal use in early drug development.
Area of Science:
- Cardiovascular research
- Pharmacokinetics
- Drug development
Background:
- Cardiovascular assessment and drug analysis are crucial in early drug development.
- Existing models often require separate studies, increasing timelines and animal usage.
- Canine telemetry models offer valuable cardiovascular insights but integrating blood sampling has been challenging.
Purpose of the Study:
- To implement automated blood sampling (ABS) in a canine cardiovascular telemetry model.
- To enable simultaneous cardiovascular assessment and serial blood collection for drug and biomarker analysis.
- To enhance the efficiency, reproducibility, and ethical considerations (3Rs) of preclinical cardiovascular studies.
Main Methods:
- Instrumentation of purpose-bred male Beagle dogs (n=36) with dual-pressure telemetry transmitters and vascular access ports.
- Modifications to acclimation, surgical procedures, and housing for ABS integration.
- Validation of the combined telemetry-ABS system for simultaneous data collection.
Main Results:
- Successful implementation of ABS in the canine telemetry model.
- Demonstrated ability to collect multiple blood samples for drug levels, cytokines, and biomarkers.
- Combined pharmacokinetic and cardiovascular data acquisition achieved.
Conclusions:
- The telemetry-ABS model provides an efficient method for early cardiovascular safety and pharmacokinetic profiling.
- This integrated approach supports refinement and reduction principles in preclinical research.
- The model accelerates drug development timelines and reduces compound requirements.


