Pharmacokinetics physiologically based

Another method of predicting human pharmacokinetics is physiologically based pharmacokinetics (PB-PK). The normal pharmacokinetic approach is to try to fit the plasma concentration-time curve to a mathematical function with one, two or three compartments, which are really mathematical constructs necessary for curve fitting, and do not necessarily have any physiological correlates. In PB-PK, the model consists of a series of compartments that are taken to actually represent different tissues [75-77] (Fig. 6.3). In order to build the model it is necessary to know the size and perfusion rate of each tissue, the partition coefficient of the compound between each tissue and blood, and the rate of clearance of the compound in each tissue. Although different sources of errors in the models have been 

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Absorption, distribution, biotransformation, and excretion of chemical compounds have been discussed as separate phenomena. In reality all these processes occur simultaneously, and are integrated processes, i.e., they all affect each other. In order to understand the movements of chemicals in the body, and for the delineation of the duration of action of a chemical m the organism, it is important to be able to quantify these toxicokinetic phases. For this purpose various models are used, of which the most widely utilized are the one-compartment, two-compartment, and various physiologically based pharmacokinetic models. These models resemble models used in ventilation engineering to characterize air exchange. 

Physiologically Based Pharmacokinetic (PBPK)/Pharmacodynamic (PD) Models... 

Note This is a conceptual representation of a physiologically based pharmacokinetic (PBPK) model for a hypothetical chemical substance. The chemical substance is shown to be absorbed via the skin, by inhalation, or by ingestion, metabolized in the liver, and excreted in the urine or by exhalation. 

Andersen ME, Clewell HJ 3rd, Gargas ME, et al. 1987. Physiologically based pharmacokinetics and the risk assessment process for methylene chloride. Toxicol Appl Pharmacol 87 185-205. 

Krishnan K, Andersen ME, Clewell H 3rd, et al. 1994. Physiologically based pharmacokinetic modeling of chemical mixtures. In Yang R, ed. Toxicology of chemical mixtures. New York, NY Academic Press, 399-437. 

Leung H-W. 1993. Physiologically-based pharmacokinetic modelling. In Ballentine B, Marro T, Turner P, eds. General and applied toxicology. New York, NY Stockton Press, 153-164. 

KrishnanK, Andersen ME. 1994. Physiologically-based pharmacokinetic modeling in toxicology. In Wallace Hayes, ed. Principles and methods of toxicology. 3rd edition. New York, NY Raven Press, Ltd. 

Physiologically Based Pharmacokinetic (PBPK) Model—is comprised of a series of compartments representing organs or tissue groups with realistic weights and blood flows. These models require a variety of physiological information tissue volumes, blood flow rates to tissues, cardiac output, alveolar ventilation rates and, possibly membrane permeabilities. The models also utilize biochemical information such as air/blood partition coefficients, and metabolic parameters. PBPK models are also called biologically based tissue dosimetry models. 

Simulation methods have also been developed that include physiologically based pharmacokinetic modeling (PBPK) and methods such as Cloe PK, OMPPPlus, GastroPlus , SimCYP , and others [122] that are described elsewhere in this book. It is likely that the computational metabolism predictions could be integrated with these to assist in deriving more accurate predictions of human pharmacokinetic parameters. 

Notice Approaches for the Application of Physiologically-Based Pharmacokinetic (PBPK) Models and Supporting Data in Risk Assessment E-Docket ID No. ORD-2005-0022. Fed Reg July 28, 2005 70 (144) 43692-43693. 

Rowland M, Balant L, Peck C. Physiologically based pharmacokinetics in drug development and regulatory science a workshop report (Georgetown University, Washington, DC, May 29-30, 2002). AAPS PharmSci 2004 6 E6. 

Nestorov lA, Aarons LJ, Rowland M. Physiologically based pharmacokinetic modeling of a homologous series of barbiturates in the rat a sensitivity analysis. / Pharmacokinet Biopharm 1997 25 413-47. 

What are called physiologically based pharmacokinetic (PBPK) and pharmacodynamic (PBPD) models are more mechanistically complex and often include more compartments, more parameters, and more detailed expressions of rates and fluxes and contain more mechanistic representation. This type of model is reviewed in more detail in Section 22.5. Here, we merely classify such models and note several characteristics. PBPK models have more parameters, are more mechanistic, can exploit a wider range of data, often represent the whole body, and can be used both to describe and interpolate as well as to predict and extrapolate. Complexity of such models ranges from moderate to high. They typically contain 10 or more compartments, and can range to hundreds. The increase in the number of flux relationships between compartments and the related parameters is often more than proportional to compartment count. 

Figure 22.1 A. Schema for a physiologically based pharmacokinetic model incorporating absorption in the stomach and intestines and distribntion to various tissues. B. Each organ or tissue type includes representation of perfusion (Q) and drug concentrations entering and leaving the tissue. Fluxes are computed by the product of an appropriate rate law, and permeable surface area accounts for the affinity (e.g., lipophilic drugs absorbing more readily into adipose tissue). Clearance is computed for each tissue based on physiology and is often assumed to be zero for tissues other than the gut, the liver, and the kidneys.

Nestorov lA, Aarons LJ, Arundel PA, Rowland M. Lumping of whole-body physiologically based pharmacokinetic models. JPharmacokinet Biopharm 1998 Feb 26(l) 21-46. 

Clewell HJ 3rd, Gentry PR, Covington TR, Gearhart JM. Development of a physiologically based pharmacokinetic model of trichloroethylene and its metabolites for use in risk assessment. Environ Health Perspect 2000 May 108 Suppl 2 283-305. 

Poulin P, Theil FP. Prediction of pharmacokinetics prior to in vivo studies. II. Generic physiologically based pharmacokinetic models of drug disposition. J Pharm Sci 2002 May 91(5) 1358-70. 

Tsukamoto Y, Kato Y, Ura M, Horii I, Ishitsuka H, Kusuhara H, Sugiyama Y. A physiologically based pharmacokinetic analysis of capecitabine, a triple prodrug of 5-FU, in humans the mechanism for tumor-selective accumulation of 5-FU. Pharm Res 2001 Aug 18(8) 1190-202. 

Kawai R, Mathew D, Tanaka C, Rowland M Physiologically based pharmacokinetics of cyclosporine A extension to tissue distribution kinetics in rats and scale-up to human. J Pharmacol Exp Ther 1998 Nov 287(2) 457-68. 

Bjorkman S, Wada DR, Berling BM, Benoni G. Prediction of the disposition of midazolam in surgical patients by a physiologically based pharmacokinetic model. J Pharm Sci 2001 Sep 90(9) 1226-41. 

Charnick SB, Kawai R, Nedelman JR, Lemaire M, Niederberger W, Sato H. Perspectives in pharmacokinetics. Physiologically based pharmacokinetic modeling as atoolfor drug development./P/jarmacokmefTEop/jarm 1995 Apr 23(2) 217-29. Review. 

Theil FP, Guentert TW, Haddad S, Poulin P. Utility of physiologically based pharmacokinetic models to drug development and rational drug discovery candidate selection. Toxicol Lett 2003 Feb 18 138(l-2) 29-49. Review. 

Reddy M, Yang RSH, Clewell HJ, Andersen ME (eds). Physiologically based pharmacokinetic modeling. Zurich Wiley VCH, 2005. 

Chen HS, Gross JF. Physiologically based pharmacokinetic models for anticancer drngs. Cancer Chemother Pharmacol 1979 2(2) 85-94. Review. 

Willmann S, Lippert J, Sevestre M, Solodenko J, Fois F, Schmitt W. PK-Sim a physiologically based pharmacokinetic whole-body model. Biosilico 2003 1(4) 121-4... 

The Chemical Manager and Authors acknowledge the contribution of Dr. Ted W. Simon, U.S. EPA, in applying physiologically-based pharmacokinetic modeling to the development of minimal risk levels for trichloroethylene. 

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