title: Methods of solving rapid binding target-mediated drug disposition model for two drugs competing for the same receptor.
abstract: The target-mediated drug disposition (TMDD) model has been adopted to describe pharmacokinetics for two drugs competing for the same receptor. A rapid binding assumption introduces total receptor and total drug concentrations while free drug concentrations C (A) and C (B) are calculated from the equilibrium (Gaddum) equations. The Gaddum equations are polynomials in C (A) and C (B) of second degree that have explicit solutions involving complex numbers. The aim of this study was to develop numerical methods to solve the rapid binding TMDD model for two drugs competing for the same receptor that can be implemented in pharmacokinetic software. Algebra, calculus, and computer simulations were used to develop algorithms and investigate properties of solutions to the TMDD model with two drugs competitively binding to the same receptor. A general rapid binding approximation of the TMDD model for two drugs competing for the same receptor has been proposed. The explicit solutions to the equilibrium equations employ complex numbers, which cannot be easily solved by pharmacokinetic software. Numerical bisection algorithm and differential representation were developed to solve the system instead of obtaining an explicit solution. The numerical solutions were validated by MATLAB 7.2 solver for polynomial roots. The applicability of these algorithms was demonstrated by simulating concentration-time profiles resulting from exogenous and endogenous IgG competing for the neonatal Fc receptor (FcRn), and darbepoetin competing with endogenous erythropoietin for the erythropoietin receptor. These models were implemented in ADAPT 5 and Phoenix WinNonlin 6.0, respectively.
authors.affiliation: Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY 14260, USA.
authors.forename: Xiaoyu
authors.initials: X
authors.lastname: Yan
authors.forename: Yang
authors.initials: Y
authors.lastname: Chen
authors.forename: Wojciech
authors.initials: W
authors.lastname: Krzyzanski
mesh_terms: D001667:Binding, Competitive / Q000502:physiology*; D003198:Computer Simulation; D000068256:Darbepoetin alfa; D016503:Drug Delivery Systems / Q000379:methods*; D004921:Erythropoietin / Q000031:analogs & derivatives / Q000378:metabolism; D008954:Models, Biological; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D011485:Protein Binding / Q000502:physiology; D017467:Receptors, Erythropoietin / Q000378:metabolism*; D011961:Receptors, Fc / Q000378:metabolism*; D013997:Time Factors; D014018:Tissue Distribution / Q000502:physiology
chemical_list: D004364:Pharmaceutical Preparations; D017467:Receptors, Erythropoietin; D011961:Receptors, Fc; D004921:Erythropoietin; D000068256:Darbepoetin alfa