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1 Some Deterministic Models in Mathematical Biology: Physiologically Based Pharmacokinetic Models for Toxic Chemicals Cammey E. Cole Meredith College March.

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Presentation on theme: "1 Some Deterministic Models in Mathematical Biology: Physiologically Based Pharmacokinetic Models for Toxic Chemicals Cammey E. Cole Meredith College March."— Presentation transcript:

1 1 Some Deterministic Models in Mathematical Biology: Physiologically Based Pharmacokinetic Models for Toxic Chemicals Cammey E. Cole Meredith College March 11, 2005

2 2 Outline Introduction to compartment models Research examples Linear model –Analytics –Graphics Nonlinear model Exploration

3 3 Physiologically Based Pharmacokinetic (PBPK) Models A physiologically based pharmacokinetic (PBPK) model for the uptake and elimination of a chemical in rodents is developed to relate the amount of IV and orally administered chemical to the tissue doses of the chemical and its metabolite.

4 4 Characteristics of PBPK Models Compartments are to represent the amount or concentration of the chemical in a particular tissue. Model incorporates known tissue volumes and blood flow rates; this allows us to use the same model across multiple species. Similar tissues are grouped together. Compartments are assumed to be well-mixed.

5 5 Example of Compartment in PBPK Model Q K is the blood flow into the kidney. CV K is the concentration of drug in the venous blood leaving the kidney. QKQK CV K Kidney

6 6 Example of Compartment in PBPK Model C K is the concentration of drug in the kidney at time t. CV K is the concentration of drug in the venous blood leaving the kidney at time t. Q K is the blood flow into the kidney. V K is the volume of the kidney.

7 7 Benzene Aveloar Space Lung Blood Fat Slowly Perfused Rapidly Perfused Liver Stomach Muconic Acid ExhaledInhaled Venous Blood CV Arterial Blood CA Slowly Perfused Blood Liver Blood Liver Blood Liver BO PH HQ BZ Conjugates PH Catechol THB Conjugates HQ PMA Benzene Benzene OxidePhenolHydroquinone Rapidly Perfused Fat BOPH Slowly Perfused PH Fat PH Rapidly Perfused Fat Slowly Perfused Rapidly Perfused HQ

8 8 Benzene Plot

9 9

10 10 4-Methylimidazole (4-MI) Metabolism Adipose Other Tissues Kidney Urine Liver BloodBlood Initial condition: IV exposure Other Tissues Leaving System Blood Stomach Initial condition: gavage exposure Feces 4-MI Metabolite

11 11 4-MI Female Rat Data (NTP TK)

12 12 Linear Model Example A drug or chemical enters the body via the stomach. Where does it go? Assume we can think about the body as three compartments: –Stomach (where drug enters) –Liver (where drug is metabolized) –All other tissues Assume that once the drug leaves the stomach, it can not return to the stomach.

13 13 Schematic of Linear Model Stomach Other Tissues Liver x 1, x 2, and x 3 represent amounts of the drug. a, b, and c represent flow rates. x2x2 x1x1 x3x3 a bc

14 14 Linear Model Equations Let’s look at the change of amounts in each compartment, assuming the mass balance principle is applied.

15 15 Linear Model (continued) Let’s now write the system in matrix form.

16 16 Linear Model (continued) Find the eigenvectors and eigenvalues. Write general solution of the differential equation. Use initial conditions of the system to determine particular solution.

17 17 Linear Model (continued) For our example, let a=3, b=4, and c=11. Then, our general solution would be given by:

18 18 Initial Conditions Using the initial conditions of we are representing the fact that the drug began in the stomach and there were no background levels of the drug in the system.

19 19 Graphical Results

20 20 Schematic of Nonlinear Model x 1, x 2, x 3, and x 4 represent amounts of the drug. Stomach Other Tissues Liver x2x2 x1x1 x3x3 a bc Metabolite x4x4

21 21 Nonlinear Model Equations

22 22 Nonlinear Model a=0.2, b=0.4, c=0.1, V=0.3, K=4

23 23 Exploration What would happen if the parameters were changed? What would happen if the initial conditions were changed? We will now use Phaser to explore these questions. Phaser files are on the website: www.meredith.edu/math/faculty/cole/maaworkshop/pbpkmodels.htm


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