Georges Vauquelin1. 1. Department of Molecular and Biochemical Pharmacology, Vrije Universiteit Brussel, Brussels, Belgium.
Abstract
BACKGROUND AND PURPOSE: Optimal drug therapy often requires long-lasting target occupancy While this attribute was usually linked to the drug's pharmacokinetic properties, the dissociation rate is now increasingly recognized to contribute as well. Nearly all the earlier pharmacokinetic-pharmacodynamic (PK-PD) simulations encompassed single-step binding drugs and focused on koff . However, 'micro'-PK mechanisms and more complex binding mechanisms like bivalent- and induced-fit binding may contribute as well. Corresponding binding models are presently explored. EXPERIMENTAL APPROACH: We compared the 24 h in vivo occupancy over time profiles of prototype bivalent- and induced-fit-like binding drugs (A and B) after one or repeated daily dosings, both without and with rebinding. Special attention was focused on the effect of each of the microscopic rate constants on the occupancy profiles and on the metrics to represent those profiles. KEY RESULTS: Although both models can be represented by the same mathematical formulation, drugs A and B display quite different occupancy profiles, even though they have the same potency. These differences can be attributed to the different effects of their microscopic rate constants on their composite koff and also on their susceptibility to experience rebinding. This also affects how the occupancy profiles of bivalent- and induced-fit-like binders progress when repeating the dosings and by changing the dosage. CONCLUSIONS AND IMPLICATIONS: Closer attention should be paid to more complex binding models in PK-PD simulations. This may help pharmacologists and medicinal chemists to improve the translation of in vitro kinetic measurements from preclinical screening programmes into clinical efficiency.
BACKGROUND AND PURPOSE: Optimal drug therapy often requires long-lasting target occupancy While this attribute was usually linked to the drug's pharmacokinetic properties, the dissociation rate is now increasingly recognized to contribute as well. Nearly all the earlier pharmacokinetic-pharmacodynamic (PK-PD) simulations encompassed single-step binding drugs and focused on koff . However, 'micro'-PK mechanisms and more complex binding mechanisms like bivalent- and induced-fit binding may contribute as well. Corresponding binding models are presently explored. EXPERIMENTAL APPROACH: We compared the 24 h in vivo occupancy over time profiles of prototype bivalent- and induced-fit-like binding drugs (A and B) after one or repeated daily dosings, both without and with rebinding. Special attention was focused on the effect of each of the microscopic rate constants on the occupancy profiles and on the metrics to represent those profiles. KEY RESULTS: Although both models can be represented by the same mathematical formulation, drugs A and B display quite different occupancy profiles, even though they have the same potency. These differences can be attributed to the different effects of their microscopic rate constants on their composite koff and also on their susceptibility to experience rebinding. This also affects how the occupancy profiles of bivalent- and induced-fit-like binders progress when repeating the dosings and by changing the dosage. CONCLUSIONS AND IMPLICATIONS: Closer attention should be paid to more complex binding models in PK-PD simulations. This may help pharmacologists and medicinal chemists to improve the translation of in vitro kinetic measurements from preclinical screening programmes into clinical efficiency.
Authors: Stephen Ph Alexander; Eamonn Kelly; Neil Marrion; John A Peters; Helen E Benson; Elena Faccenda; Adam J Pawson; Joanna L Sharman; Christopher Southan; O Peter Buneman; William A Catterall; John A Cidlowski; Anthony P Davenport; Doriano Fabbro; Grace Fan; John C McGrath; Michael Spedding; Jamie A Davies Journal: Br J Pharmacol Date: 2015-12 Impact factor: 8.739
Authors: Eleanor Jing Yi Cheong; Pramod C Nair; Rebecca Wan Yi Neo; Ho Thanh Tu; Fu Lin; Edmund Chiong; Kesavan Esuvaranathan; Hao Fan; Russell Z Szmulewitz; Cody J Peer; William D Figg; Christina Li Lin Chai; John O Miners; Eric Chun Yong Chan Journal: J Pharmacol Exp Ther Date: 2020-06-17 Impact factor: 4.030