Interspecies scaling of a camptothecin analogue: Human predictions for intravenous topotecan using animal data

Allometric modeling of ciclesonide, a nonhalogenated glucocorticoid, and its active metabolite, desisobutyrylciclesonide, using animal-derived pharmacokinetic parameters

Ciclesonide, a novel glucocorticosteroid, through a rapid metabolism to desisobutyryl-ciclesonide (des-ciclesonide), provides an effective treatment option for asthma episodes by the inhaled route of administration. The availability of pharmacokinetic parameters (clearance [CL/F]; volume of distribution [Vd/F]; elimination half-life [T(½)]; and elimination rate constant [Kel]) in mice, rats, rabbits, and dogs enabled the prediction of human parameter values for des-ciclesonide using the well-accepted tool of allometry after intravenous administration of ciclesonide. However, as a result of the rapid conversion of ciclesonide, it was possible to perform allometry for the CL parameter only. Simple allometry (CL = 4.781W⁰·⁷⁸⁷⁴; R² = 0.9968) appeared to predict the CL of ciclesonide in close proximity of the observed value (observed: 101.25 L/h versus predicted: 135.62 L/h). In a similar manner, simple allometry predicted the human pharmacokinetic parameters of des-ciclesonide (CL/F, Vd/F, T(½), and Kel) within a two- to threefold range of the observed values. The allometric equations for des-ciclesonide parameter values were: CL/F = 4.8166W⁰·⁴⁹² (R² = 0.8598); Vd/F = 19.052W⁰·⁶³² (R² = 0.9049); T(½) = 3.7598W⁻⁰·¹⁶¹¹(R² = 0.8551); and Kel = 0.1832W⁰·¹⁵⁹⁶ (R² = 0.8632). In conclusion, the data suggested that allometry tool may be amenable for the prediction of the pharmacokinetic parameters of des-ciclesonide despite differences in the conversion rates and bioavailability of the active metabolite in various animal species.

Species differences in distribution and prediction of human V(ss) from preclinical data

Prediction of human volume of distribution at steady state (V(ss)) before first administration of a new drug candidate to humans has become an important part of the drug development process. This study examines the assumptions behind interspecies scaling techniques used to predict human V(ss) from preclinical data, namely the equivalency of V(ss,u) and/or f(ut) across species. In addition, several interspecies scaling techniques are evaluated side by side using a set of 67 reference compounds where observed V(ss) from rats, dogs, monkeys, and humans were compiled from the literature and where plasma protein binding was determined across species using an ultracentrifugation technique. Species similarity in V(ss,u) or f(ut) does not appear to be the norm among rats, dogs, monkeys, or humans. Despite this, interspecies scaling from rats, dogs, and monkeys is useful and can provide reasonably accurate predictions of human V(ss), although some interspecies scaling approaches were better than others. For example, the performance of the common V(ss,u) or f(ut) equivalency approaches using average V(ss,u) or f(ut) across three preclinical species was superior to allometric scaling techniques. In addition, considering data from several preclinical species, using the equivalency approach, was superior to scaling from any single species. Although the mechanistic tissue composition equations available in the Simcyp population-based pharmacokinetic simulator did not necessarily provide the most accurate predictions, and the equations used likely need refinement, they still provide the best opportunity for a mechanistic understanding and prediction of human V(ss).

Intravenous prediction of human pharmacokinetic parameters for ketorolac, a non-steroidal anti-inflammatory agent, using allometry approach

The intravenous pharmacokinetics data of ketorolac in mice, rats, rabbits, dogs and monkeys were assembled from literature. The relationship between the main pharmacokinetic parameters [viz., volume of distribution (V (d)) and clearance (CL)] and body weight was studied across five mammalian species, using double-logarithmic plots to predict the human pharmacokinetic parameters of CL and V (d) using simple allometry or with correction factors [maximum life span potential (MLP), brain weight, CF1 (bile flow/liver weight) and CF2 (bile flow/body weight)]. The metabolism pattern, biotransformation pathways and the predominant urinary excretion of parent and the formed metabolites of ketorolac were found to be similar amongst mice, rats, rabbits, dogs, monkeys and humans, facilitating the scaling process. The human parameter value for V (d) was predicted by simple allometric equation: 0.2481W(1.0549) (r (2) = 0.9217). The predicted V (d) value (21.92 L) is close to the reported value (17.5 L), whereas the CL was predicted by simple allometric approach or with standard correction factors viz., MLP, brain weight, CF1 and CF2. Best proximity CL value was obtained with MLP having allometric equation: 0.7126W(1.3264) (r (2) = 0.9640). The outcome of this exercise suggests that allometric scaling with suitable correction factors could potentially be used to predict the human pharmacokinetic parameters of drugs belonging to non-steroidal anti-inflammatory drugs retrospectively.