Effect of plasma protein and tissue binding on the time course of drug concentration in plasma. 1979

P J McNamara, and G Levy, and M Gibaldi
Department of Pharmaceutics, School of Pharmacy, State University of New York at Buffalo, Amherst, New York 14260, USA.

We have studied by digital computer simulation the effect of concentration-dependent plasma protein and tissue binding on the time course of drug concentrations (both unbound and total) in plasma following rapid injection of a drug whose elimination rate is proportional to either free or total drug concentration in plasma, assuming instantaneous equilibration of the drug between vascular and nonvascular spaces. The following observations were made when elimination rate was assumed to be a function of free drug concentration: (a) when plasma protein binding is nonlinear and there is either no tissue binding or linear tissue binding, log concentration-time plots of free drug are always concave whereas such plots for total (sum of free and bound) drug can be convex, almost linear, or concave (apparently biexponential) depending on the plasma protein binding parameters relative to the initial concentration; (b) linear tissue binding in association with nonlinear plasma protein binding can reduce the concavity or enhance the convexity of log total concentration-time plots. When drug elimination rate was assumed to be a function of total concentration in plasma, nonlinear plasma protein binding in association with linear or no tissue binding yielded convex log total concentration-time plots which could sometimes be described by Michaelis-Menten kinetics. In general, drug concentration-dependent changes in the apparent volume of distribution resulting from nonlinear plasma protein and (where applicable) tissue binding have a pronounced effect on the slope of log total plasma concentration-time plots. It appears that under clinically realistic conditions an otherwise marked curvature of such plots, due to nonlinear plasma protein binding, may in fact be dampened or overcome by linear tissue binding.

UI MeSH Term Description Entries
D010599 Pharmacokinetics Dynamic and kinetic mechanisms of exogenous chemical DRUG LIBERATION; ABSORPTION; BIOLOGICAL TRANSPORT; TISSUE DISTRIBUTION; BIOTRANSFORMATION; elimination; and DRUG TOXICITY as a function of dosage, and rate of METABOLISM. LADMER, ADME and ADMET are abbreviations for liberation, absorption, distribution, metabolism, elimination, and toxicology. ADME,ADME-Tox,ADMET,Absorption, Distribution, Metabolism, Elimination, and Toxicology,Absorption, Distribution, Metabolism, and Elimination,Drug Kinetics,Kinetics, Drug,LADMER,Liberation, Absorption, Distribution, Metabolism, Elimination, and Response
D010949 Plasma The residual portion of BLOOD that is left after removal of BLOOD CELLS by CENTRIFUGATION without prior BLOOD COAGULATION. Blood Plasma,Fresh Frozen Plasma,Blood Plasmas,Fresh Frozen Plasmas,Frozen Plasma, Fresh,Frozen Plasmas, Fresh,Plasma, Blood,Plasma, Fresh Frozen,Plasmas,Plasmas, Blood,Plasmas, Fresh Frozen
D011485 Protein Binding The process in which substances, either endogenous or exogenous, bind to proteins, peptides, enzymes, protein precursors, or allied compounds. Specific protein-binding measures are often used as assays in diagnostic assessments. Plasma Protein Binding Capacity,Binding, Protein
D001798 Blood Proteins Proteins that are present in blood serum, including SERUM ALBUMIN; BLOOD COAGULATION FACTORS; and many other types of proteins. Blood Protein,Plasma Protein,Plasma Proteins,Serum Protein,Serum Proteins,Protein, Blood,Protein, Plasma,Protein, Serum,Proteins, Blood,Proteins, Plasma,Proteins, Serum
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D004364 Pharmaceutical Preparations Drugs intended for human or veterinary use, presented in their finished dosage form. Included here are materials used in the preparation and/or formulation of the finished dosage form. Drug,Drugs,Pharmaceutical,Pharmaceutical Preparation,Pharmaceutical Product,Pharmaceutic Preparations,Pharmaceutical Products,Pharmaceuticals,Preparations, Pharmaceutical,Preparation, Pharmaceutical,Preparations, Pharmaceutic,Product, Pharmaceutical,Products, Pharmaceutical
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D014018 Tissue Distribution Accumulation of a drug or chemical substance in various organs (including those not relevant to its pharmacologic or therapeutic action). This distribution depends on the blood flow or perfusion rate of the organ, the ability of the drug to penetrate organ membranes, tissue specificity, protein binding. The distribution is usually expressed as tissue to plasma ratios. Distribution, Tissue,Distributions, Tissue,Tissue Distributions

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