BACKGROUND AND OBJECTIVES: Ulixertinib (BVD-523) is a novel and selective reversible inhibitor of ERK1/ERK2. The primary objectives of the study were to evaluate the pharmacokinetics of ulixertinib in mice, rats, and dogs followed by prediction of human pharmacokinetic profile by allometric equations with/without correction factors. METHODS: Oral and intravenous pharmacokinetic profiles of ulixertinib were generated in mice, rats, and dogs. The human intravenous pharmacokinetics profiles [volume of distribution (Vss) and clearance (CL)] were predicted employing simple allometry and using correction factors [maximum life span potential (MLP) and brain weight (BW)]. Pharmacokinetic data obtained from dogs were used to simulate human oral profile [area under the curve (AUC) and maximum plasma concentrations (Cmax)]. RESULTS: Post-intravenous administration the CL was moderate in dogs (15.5 mL/min/kg) and low in mice (6.24 mL/min/kg) and rats (1.67 mL/min/kg). Vss was 0.56, 0.36, and 1.61 L/kg in mice, rats, and dogs, respectively. The half-life (t½) of ulixertinib ranged between 1.0 and 2.5 h across the animal species. Following oral administration ulixertinib attained maximum concentration in plasma (Tmax) within 0.50-0.75 h in mice and rats, indicating that absorption was rapid; however, in dogs, Tmax attained at 2 h. Absolute oral bioavailability in mice and rats was > 92%; however, in dogs, it was 34%. By different allometric approaches, simple method and brain weight correction factor shown clear improvement in the prediction efficiency of allometric scaling for Vss (1.34-1.70 L/kg) and CL (4.18-6.09 mL/min/kg), respectively, comparing with the MLP method and simple method for CL. Similarly, simulation of oral human profile was attained from scaled values and dog data to predict reported human profile (AUC and Cmax). CONCLUSIONS: The derived pharmacokinetic parameters (AUC and Cmax at 600 mg dose) and simulated plasma concentration-time profiles of ulixertinib in humans were predicted with good confidence by allometric approach.
BACKGROUND AND OBJECTIVES:Ulixertinib (BVD-523) is a novel and selective reversible inhibitor of ERK1/ERK2. The primary objectives of the study were to evaluate the pharmacokinetics of ulixertinib in mice, rats, and dogs followed by prediction of human pharmacokinetic profile by allometric equations with/without correction factors. METHODS: Oral and intravenous pharmacokinetic profiles of ulixertinib were generated in mice, rats, and dogs. The human intravenous pharmacokinetics profiles [volume of distribution (Vss) and clearance (CL)] were predicted employing simple allometry and using correction factors [maximum life span potential (MLP) and brain weight (BW)]. Pharmacokinetic data obtained from dogs were used to simulate human oral profile [area under the curve (AUC) and maximum plasma concentrations (Cmax)]. RESULTS: Post-intravenous administration the CL was moderate in dogs (15.5 mL/min/kg) and low in mice (6.24 mL/min/kg) and rats (1.67 mL/min/kg). Vss was 0.56, 0.36, and 1.61 L/kg in mice, rats, and dogs, respectively. The half-life (t½) of ulixertinib ranged between 1.0 and 2.5 h across the animal species. Following oral administration ulixertinib attained maximum concentration in plasma (Tmax) within 0.50-0.75 h in mice and rats, indicating that absorption was rapid; however, in dogs, Tmax attained at 2 h. Absolute oral bioavailability in mice and rats was > 92%; however, in dogs, it was 34%. By different allometric approaches, simple method and brain weight correction factor shown clear improvement in the prediction efficiency of allometric scaling for Vss (1.34-1.70 L/kg) and CL (4.18-6.09 mL/min/kg), respectively, comparing with the MLP method and simple method for CL. Similarly, simulation of oral human profile was attained from scaled values and dog data to predict reported human profile (AUC and Cmax). CONCLUSIONS: The derived pharmacokinetic parameters (AUC and Cmax at 600 mg dose) and simulated plasma concentration-time profiles of ulixertinib in humans were predicted with good confidence by allometric approach.
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Authors: Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal Journal: Nature Date: 2002-06-09 Impact factor: 49.962