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Pharmacokinetics and therapeutic efficacies of fenbendazole in comparison with levamisole in helminth-infected Caspian turtles (Mauremys caspica).

Mohammad Reza YoussefiFaezeh Ghiami KhabbazianNiki NavidiMohammad Mehdi Yazdani RostamMario GiorgiMohaddeseh Abouhosseini Tabari
Published in: Journal of veterinary pharmacology and therapeutics (2022)
The pharmacokinetics and bioavailability of fenbendazole and levamisole were determined in Caspian turtles after a single intravenous (i.v.) and subcutaneous (s.c.) administration. Thirty turtles diagnosed as naturally infected with Serpinema microcephalus and Falcaustra armenica nematodes received fenbendazole (50 mg/kg) or levamisole (10 mg/kg) by i.v. and s.c. administrations. Blood samples were collected at time 0, 0.125, 0.25, 0.5, 1, 2, 4, 8, 12, 24, and 48 h after drug administration. Plasma drug concentrations were determined by a validated high-performance liquid chromatography method. Data were analyzed by noncompartmental methods. The mean elimination half-life of levamisole was 5.16 h and 12.03 h for i.v. and s.c. routes, respectively, and for fenbendazole, the mean elimination half-life was 25.38 h (i.v.) and 29.77 h (s.c.). The total clearance and volume of distribution at steady-state for levamisole and fenbendazole following i.v. administration were 0.22, 0.44 ml/g/h, and 1.06 and 7.35 ml/g, respectively. For the s.c. route, the peak plasma concentration of levamisole and fenbendazole was 10.53 and 5.24 μg/mL, respectively. The s.c. bioavailability of levamisole and fenbendazole was complete. Considering high anthelmintic efficacy and bioavailability after s.c. administration of levamisole and fenbendazole, and the absence of adverse effects, this route of administration is an easy and efficacious way of treating nematodes in Caspian turtles.
Keyphrases
  • high performance liquid chromatography
  • mass spectrometry
  • emergency department
  • machine learning
  • drug administration
  • low dose
  • high dose
  • electronic health record
  • ms ms
  • deep learning
  • big data