Transcript Slide 1
Pharmacokinetics – a practical application of calculus
November 4, 2009 Elena Ho
Protein Bioanalytics / Pharmacokinetics Protein Therapeutics 1
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Dosing Regimen
How much ?
How often ?
Oral bio availability Half-life Absorption Clearance Volume of Distribution Permea bility Efflux Aqueous Solubility Metabolic Stability Renal Excretion Biliary Excretion CNS Penetration Protein Binding Tissue Binding
Typical Study Tools
Barriers between Dose and Target
Kerns & Li 2003, DDT 8:316-323
Compartment models
A compartment is an entity which can be described by a definite volume and a concentration (of drug) Concentration Dose V Dose (mg) = C (ug/ml) x V (ml) V = Dose/Concentration
One compartment model: the drug enters the body, distributes instantly between blood and other body fluid or tissues.
Model
1. One compartment Drug in
Hydrodynamic analogy
Drug in Drug out 2. Two compartment Drug in central tissue Drug out ____________________________ 3. Three compartment Drug in Tissue 1 central Tissue 2 Drug out Tissue 1 Drug in central Tissue 2 Drug recycle Drug out
The human body is a multimillion compartment model considering drug concentration in different organelles, cells, or tissues We have access to only two types of body fluid – blood and urine We will begin with the simplest model
Single dose, IV, one compartment :
dose of drug introduced rapidly and completely and quickly distributes into its homogenous volume of distribution. Drug is then eliminated by metabolism and excretion.
Then : dA/dt = - k el A where k el = k e + k m rearrange to : dA/A = - k el dt A Integrate:
∫
A 0 dA/A = - k el
∫
t t 0 dt Gives: ln A
|
A A 0 = - k el t
|
t 0 t or ln A – ln A 0 = - k el . t – t 0 This yields the familiar exponential or logarithmic expressions C 0 A = A 0 e – Kel t C = C 0 e – Kel t log C = log C 0 – k el . t /2.3
log C - K el /2.3
K el = 2.3/t . log C/C 0 time
I. Biological half-life (T
1/2
)
Consider again the rearranged expression dA/A = - k el dt Integrate between limits A and A/2
∫
A/2 A dA/A = - k el
∫
t/2 t 0 dt Gives: ln A – ln (A/2) = k el t 1/2 ln 2 = k el t 1/2 = 0.693
Therefore: t 1/2 = 0.693 / k el
II. Area Under the Curve (AUC)
The integral of drug blood level over time from zero to infinity and a measure of quantity of drug absorbed in the body Area = A o ∞ Sum of all concentration from t 0 to t ∞ i) Linear trapezoidal method: AUC t1 t2 = Area of a trapezoid t1 t2 = (t 2 – t 1 ). (C 2 + C 1 )/2 ii) Log trapezoidal method: AUC t 1 t 2 = (t 2 – t 1 ). (C 2 + C 1 )/ln(C 2 /C 1 ) iii) Lagrange method: cubic polynomial equation iv) Spline method: piecewise polynomials for curve-fitting
2000 1500 1000 500 0 0 5 10 15 20 25 time (hour) 30 35 40 45 50 Observed Predicted
Linear and/or Log trapezoidal method 2000 1500 1000 500 Observed Predicted 0 0 5 10 15 20 25 30 35 40 45 time (hour)
T1, T2, T3, T4, T5, T6 T7
50 Advantages: Easy to use. Reliable for slow declining or ascending curves Disadvantages: error-prone for data points with a wide interval; over or under estimate the true AUC; log 0 is not defined; not good for multiexponential curve
III. Clearance (Cl
s
)
Clearance is a measure of the ability of the body to eliminate a drug from the blood circulation.
Cl s = elimination rate of drug from body/drug concentration in plasma Cl s = - [dA(t)/dt]/Cp(t) Integrate between limits 0 and ∞ Cl s =
∫
t 0 ∞ [dA(t)/dt] dt /
∫
∞ t 0 Cp(t) dt = A (0) A(∞)/AUC 0 ∞ , iv Gives: A (0) A(∞) = total amount of drug (or total dose) AUC 0 ∞, iv = total AUC Therefore: Cl s = Dose/AUC
IV. Volume of distribution (V)
The apparent volume of distribution of a drug can be viewed as the total amount of drug present in the entire body and the drug concentration in plasma at any given time V (t) = A(t)/Cp(t) Vc = Dose iv / Cp(0) Cp(0) is the concentration at time 0, and can be backextrapolated from the slope T 1/2 = 0.693 x V/Cl Therefore: V = T 1/2 X Cl / 0.693
Other terms: Vd Vz V β Vss Note: V is a concept, not a real value
The following table is the plasma concentrations of cocaine as a function of Time after i.v. administration of 33 mg cocaine hydrochloride to a subject.
Time (h) Conc (ug/l) 0.16
170 0.5
122 1.0
74 1.5
45 2.0
28 2.5
17 3.0
10
Molecular weight of cocaine Hydrochloride = 340 g/mole; MW of cocaine = 303 g/mole Prepare a semilog plot of plasma concentration versus time Calculate the half-life Calculate the total clearance Given the body weight of the subject is 75 kg, calculate the volume of distribution in L/kg Source: adapted from Chow, M.J. et el (Clin. Pharm Ther 38:318-324, 1985) & Tozer, T “Clinical Pharmacokinetics, 3 rd edition, p33
220 200 180 160 140 120 100 80 60 40 20 0 0.0
1000 0.5
1.0
1.5
time (hour) 2.0
2.5
100 10 0.0
0.5
1.0
1.5
time (hour) 2.0
2.5
3.0
3.0
Kel = 0.9922
T1/2 = 0.7 hr AUC = 194 h* ug/L Cl = 145 L/h V = 146L or 1.9L/kg
In vivo Pharmacokinetics in Rodents
Distribution
Disposition kinetics:
• single iv administration • repeated blood sampling • plasma concentration-time profile Elimination
AUC
(inf)
k el
Plasma Half-life: Plasma Clearance: T 1/2 = ln 2 k el CL = Dose AUC Volume of Distribution at steady-state: V dss = CL k el T 1/2 = 0.693 x Vd/CL
Time
The
clearance
of compounds is evaluated in relation to the liver blood flow which is 20, 60, and 90 mL/min/kg in human, rat, and mouse, respectively.
The
volume of distribution
should exceed that of total body water, i.e. 0.6-0.7 L/kg which indicates that the compound distributes freely into tissues .
Log Cp(t) Distribution Elimination phase phase Log A Slope = β/2.303
Log B Slope = α/2.303
A 2-compartment model = biexponential equation Cp(t) = A*e –α*t + B*e – β*t At time 0, Cp(0) = A + B Vc = Dose/Cp(0) or Dose/(A + B)
Example of a pharmacokinetic study: single dose IV in the rat
Study design
Animal : Sprague-Dawley male rat, approximately 10 weeks old weighing ~250 g each (n=4) Compound : BAY xxxxxx supplied by ABC, lot # AaBbCc Dosing : each animal will receive a dose equivalent to 0.7 mg/kg.
Time points: pre dose, 5 min, 30 min, 1, 2, 4, 7, 24, 28, 31, 48 hours post dose Blood sample : collect 225 ul of blood in 25 ul of 5% Na Citrate at each time point. Centrifuge blood at 5000 g for 5 minutes. Separate the plasma and keep at -80 ºC until analysis
SUMMARY OF RESULTS: Plasma concentration in ng/ml:
SUMMARY OF RESULTS: Plasma concentration in ng/ml : animal # animal wt (kg) dose volume(ml) rat 1
0.293
0.30
time (hr) predose
0.083
0.5
1 2 4 7 24 28 31 48 LLOQ = 7.81 ng/ml 5455.0 3935.3 3873.1 1952.7 1126.0 175.8 132.2 125.8 40.4 rat 2 0.310 0.31 5630.4 4809.3 3932.2 2050.6 1385.8 208.2 146.0 174.3 43.5 rat 3 0.306 0.31 9316.9 8203.2 6542.8 2758.8 1298.6 217.9 148.5 153.4 53.4 rat 4 0.292 0.30 Mean 0.300 0.305 SEM 6165.9 4525.1 3457.6 7851.9 6642.1 5368.2 4451.4 2241.5 1044.2 1111.2 814.2 2092.2 1305.4 177.8 133.8 129.0 2213.6 1279.0 194.9 140.1 145.6 212.6 63.2 12.3 4.8 13.1 40.0 44.3 Retain = 625 ug/ml (target: 700 ug/ml) 3.6 %CV 49.4 27.2 35.9 31.7 16.6 8.6 10.9 5.9 15.6 14.1 Pharmacokinetic parameters: Animal No. Dose AUC AUC norm %AUC(t last -∞) CL plasma V ss MRT t 1/2 t 1/2,a [mg/kg] [µg·h/L] [kg·h/L] [%] [mL/h/kg] [L/kg] [h] [h] [h] rat 1 0.700 31044 44.3 2.16 22.5 0.204 9.04 11.3 1.55 rat 2 0.700 35403 50.6 1.96 19.8 0.183 9.23 10.6 0.790 rat 3 n.c. n.c. n.c. n.c. n.c. n.c. n.c. n.c. n.c. Com1: BAY 861789 = BeneFIX lot #D26525 // Com2: rat 3 was eliminated due to dosing line was used in sampling rat 4 0.700 31989 45.7 2.04 21.9 0.201 9.17 11.1 0.573 Mgeo 0.700 32760 46.8 2.05 21.4 0.195 9.14 11.0 0.889 Sdgeo 1.00 1.07 1.07 1.05 1.07 1.06 1.01 1.03 1.66 Mari 0.700 32812 46.9 2.05 21.4 0.196 9.15 11.0 0.972 Sdari 0.00 2293 3.28 0.0968 1.45 0.0114 0.0988 0.372 0.515 CV 0.00 6.99 6.99 4.72 6.77 5.85 1.08 3.38 53.0 Elimination T 1/2 = 11.0 hours Total plasma clearance = 21.4 mL/h/kg Vss = 195 mL/kg Remark This profile suggests a slow clearance compound with a moderate elimination half life. The volume of distribution at steady state is high, suggesting the compound distribution is beyond the plasma volume compartment Stomach: Dissolution Stability at pH 1 Intestines: Dissolution Stability at pH 3-8 Permeability Metabolic stability Compound properties controlling absorption: • size • aqueous solubility • lipophilicity • polarity • ionization • ... MW Sw logP PSA pKa Deriving Models of the Gastrointestinal Tract Oral bioavailability: Barriers and In vitro Models Fraction of dose absorbed: FA% Gut Wall Liver Oral bioavailability: F% Oral Absorption limited by: Stability Solubility In Vitro Models: Gastric and Intestinal Juice Permeability ATP-dependent Efflux Drug Metabolism Phys.-Chem. Descr. Caco-2 Intest. Microsomes Hepatocellular Uptake, Drug Metabolism and Biliary Excretion Liver Microsomes Hepatocytes S9 mix, Cytosol In vivo Pharmacokinetics in Rodents Oral kinetics: C max • single po administration • repeated blood sampling • plasma concentration-time profile Absorption Distribution Elimination AUC (inf) k Max. plasma conc. and Time of max. pl. conc. T max C max There is no possibility to extrapolate the bioavailability in rodents to that in man. The sources of its limitation are often more important than the actual value as this information may allow to study the corresponding mechanism using human in vitro systems and to extrapolate the expected bioavailability . T max Oral Bioavailability: F = AUC po / D po AUC iv / D iv x 100% Time el conc Extravascular application: oral, subcutaneous, inhalation…etc Time conc Sustain release: oral, dermal patches Time Conc IV infusion Time Plasma conc. -Time profile after an oral dose of 10 ug/kg in rabbits 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 0 1 2 3 4 time (hour) 5 animal 3 animal 4 animal 8 6 7 8 Simulation of plasma conc. vs. time profile after multiple doses 1600 1400 1200 1000 800 600 400 200 0 0 Rabbit IV 81.7 IU/kg dose daily for 14 days 50 100 150 200 250 Time (hour) 300 350 400 450 500 40 35 30 25 20 15 10 5 0 0 Modeling of increasing doses . . 821581 (CCR5) 0.25 0.5 Time (hour) 0.75 1 • Direct Scaling of in vitro rate of metabolism to the CL in vivo c t in vitro CL in vivo CL • • • physiologically based • metabolic CL only first-pass effect oral bioavailability • Allometric Scaling of human PK based on animal data in vivo CL Vdss • • empirical • total CL and Vss • requires mech. to be scalable t1/2 body weight Research and development at Bayer HealthCare focus on identifying and developing new active substances to treat diseases with a high unmet medical need. Our job is to contribute to the understanding of our drug’s behavior and save lives one dayGI Tract Absorption
Absorption
Predicting Human PK