A physiologically based model for tramadol pharmacokinetics in horses. (21st September 2017)

• Record Type: Journal Article
• Authors: Abbiati, Roberto Andrea; Cagnardi, Petra; Ravasio, Giuliano; Villa, Roberto; Manca, Davide
• Is Part Of: Journal of theoretical biology. Volume 429(2017)
• Page Start: 46
• Page End: 51
• Publication Date: 2017-09-21
• Subjects: PBPK model -- QSP -- Tramadol -- Horse -- Analgesia; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2017.06.028
• Languages: English
• ISSNs: 0022-5193

Abstract

Highlights: A physiologically based pharmacokinetic model for tramadol administration in horses. Horse physiological processes and elimination pathways are accurately simulated. Individualized treatment of anesthesia in horses. A mathematical model tool for the development of robotic anesthesia. Abstract: This work proposes an application of a minimal complexity physiologically based pharmacokinetic model to predict tramadol concentration vs time profiles in horses. Tramadol is an opioid analgesic also used for veterinary treatments. Researchers and medical doctors can profit from the application of mathematical models as supporting tools to optimize the pharmacological treatment of animal species. The proposed model is based on physiology but adopts the minimal compartmental architecture necessary to describe the experimental data. The model features a system of ordinary differential equations, where most of the model parameters are either assigned or individualized for a given horse, using literature data and correlations. Conversely, residual parameters, whose value is unknown, are regressed exploiting experimental data. The model proved capable of simulating pharmacokinetic profiles with accuracy. In addition, it provides further insights on un-observable tramadol data, as for instance tramadol concentration in the liver or hepatic metabolism and renal excretion extent. Graphical abstract: