Related Experiment Video
Updated: Aug 6, 2026

Carotid Artery Infusions for Pharmacokinetic and Pharmacodynamic Analysis of Taxanes in Mice
Published on: October 27, 2014
Dose-dependent inhibition of experimental arterial thrombosis by carbenicillin and ticarcillin
Abstract:
An experimental model of canine arterial thrombosis was used to study by prophylactic antithrombotic effectiveness of carbenicillin and ticarcillin, two semisynthetic penicillins which have been shown to inhibit platelet function in vivo. Isolated peripheral arterial segments were injected with pronase and biopsied at 24 hours. In untreated dogs, 89% of injected segments totally occluded with thrombus. Prophylactic treatment for 3 to 7 days with carbenicillin or ticarcillin in low doses (250 mg/kg/day) or high doses 750 mg/kg/day) significantly decreased the incidence of total occlusion to 53% and 6%, respectively. The dose-dependent inhibition of arterial thrombosis correlated with dose-dependent inhibition of platelet function. Prophylactic treatment with aspirin in low doses (650 mg/day) or high doses (2600 mg/day) did not significantly decrease the incidence of total occlusion in this model. Carbenicillin and ticarcillin are effective experimental antithrombotic agents.
Related Concept Videos
Nondepolarizing (Competitive) Neuromuscular Blockers: Pharmacokinetics
Instead, they are transported by the blood to different tissues. Muscles with a greater blood supply (arteries) and blood flow receive more...
Anticoagulant Drugs: Low-Molecular-Weight Heparins
Treatment for Pulmonary Arterial Hypertension: Receptor Tyrosine Kinase Inhibitors and Calcium Channel Blockers
TKIs, such as imatinib (Gleevec), are particularly effective in tackling the growth and mitogenic factors that become upregulated in PAH patients. These factors contribute to the...
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations
Pharmacokinetic–Pharmacodynamic Relationship: Influence of Elimination Half-Life on Effect Duration
Pharmacodynamic Models: Overview

