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Biopharmaceutics &Pharmacokinetics
PHT 431
• Sources:
• Basic Biopharmaceutics &Pharmacokinetics
Prof. Dr. Mohsen Hedaya,
Prof. Dr. Chargel
Internet site: Boomer.com
1
2
• Biopharmaceutics:
Is the science that studies the relationship between
the physicochemical properties of the drug, the
dosage form in which the drug is given and the
route of administration and the rate and extent
of systemic drug absorption.
• Pharmacokinetics is the science of the kinetics of
drug Absorption,
Distribution,
Metabolism and
Elimination (kinetic study of ADME).
Biopharmaceutics & Pharmacokinetics
3
Biopharmaceutics: is the science that deals with the relationship
between the drug physicochemical properties, the dosage form
characteristics, the route of drug administration and the availability of the
drug to the site of drug action.
physicochemical properties
dosage form characteristics
route of drug administration
availability of the drug to the site of drug action
stability, solubility, membrane permeability, and
drug affinity to different tissue components.
4
Pharmacokinetics deals with the mathematical
description of the rates of drug movement
into, within and exit from the body
5
Pharmacodynamics:
Is the time course for the drug effect and the
relationship between the drug concentration and
the observed therapeutic effects.
Studying the pharmacodynamics of the drug is
important in determining the change in the drug
effect due to the change of the time course of the
drug in the body.
6
Drug in dosage form
Release
Drug particles in body fluids
Dissolution
Drug in solution
Degradation
Absorption
Liver
Excretion
GI
Central Compartment
Free  Bound
Distribution
Peripheral
Tissues
Pharmacologic effect
Pharmacodynamics
Biopharmaceutics
Pharmacokinetics
7
Pharmaco-
- kinetics
(What the body does to the
drug)
- Dynamics
(What the drug does to the
body)
8
PHARMACODYNAMICS
Site/Mechanism of action, Potency, Efficacy, etc.
PHARMACOKINETICS
Absorption, Distribution, Metabolism, Excretion
9
Pharmacokinetics v. Pharmacodynamics
Pharmacokinetics Pharmacodynamics
Action Of the body on the
drug
Of the drug on the
body
System Absorption,
distribution,
metabolism,
elimination (ADME)
Biological legends or
other targets in the
biophase.
Output Concentration-time
relationships
Biological response
10
Clinical Pharmacokinetics
• Application the basic pharmacokinetic principles in
individualization of drug therapy
• Drug concentration as a guide for the design of
appropriate dosage regimen for each individual
patient.
11
Drug
concentration
Time
minimum
effective
concentration
A
B
C
The drug-concentration-time profile
Studying the rate of drug absorption, distribution and elimination
allows characterization of the time course of the drug concentration in the
body.
Administration of the same dose of different drugs to the same
individual will produce different drug concentration-time profiles. This is
because different drugs have different rate of absorption, distribution and
elimination.
12
Plasma Concentration Time Curve
• Peak plasma concentration
(Cmax) is the maximum
concentration or level of the
drug reached and it is related
to the dose, the absorption
rate constant and the
elimination rate constant.
• Time of peak plasma
concentration (tmax) is the
time of the maximum drug
concentration in plasma and
it is a measure of the rate of
drug absorption.
• The area under the curve
(AUC) is the area under the
plasma concentration time
curve which relates to the
amount or extent of drug
absorbed
13
Figure 1. Graph of the elimination of drug from the plasma
after a single IV injection
0
5
10
15
20
25
30
35
40
45
0 1 2 3 4 5 6
T
ime (hr)
Plasma
drug
level
(ug/ml)
 For example figure 1 shows a curve representing the elimination of a
drug from the plasma after a single intravenous injection.
 The area between time intervals is the area of a trapezoid and can be
calculated with the following formula:
)
(
2
]
[ 1
1
1 




 n
n
n
n
n
t
n
t t
t
C
C
AUC

t
tn
AUC]
[
k
Cpn
=
AUC
Cpn
14
Pharmacokinetic modeling
Compartmental
modeling
Non-Compartmental
modeling
Physiological
modeling
All the designed models are mathematically based
15
Compartment Models
• Pharmacokinetic model is defined as a
mathematical model used to simulate the rate
processes of drug absorption, distribution and
metabolism, and predict drug concentration in the
body as a function of time.
• Pharmacokinetic models are used to predict plasma,
tissue and urine drug levels; to estimate the possible
accumulation of drugs and also to correlate the drug
concentrations with pharmacologic response.
• These models are useful to predict the time course of
drugs in the body and to allow us to maintain drug
concentration in the therapeutic range (optimize
therapy).
16
A1
One compartment model
k
17
A1 A2
k12
k21
k
Two compartment model
A1 = central compartment A2 = peripheral compartment
Before distribution After distribution
18
Pharmacokinetic modeling
The goal of pharmacokinetic data analysis
- Estimate the pharmacokinetic parameters that determine
the rate of drug absorption, distribution and elimination.
- Evaluation of these parameters requires the assumption of
a specific pharmacokinetic model.
Pharmacokinetic models allow quantitative (mathematical)
description of the rate of drug absorption, distribution and
elimination after administration.
19
Why modeling???
1- Prediction of the drug pharmacokinetic behavior after
administration of different dosing regimens.
2- Prediction of the changes in drug pharmacokinetic
behavior due to physiological and pathological changes.
20
1- Compartmental modeling:
The body is divided into one or more compartments.
The model describes the distribution of the drug between
the compartments and drug elimination from one or more
of the compartments.
These models differ in the number of compartments and
the arrangement of the compartments relative to each
other.
Modeling approaches
21
One
compartment
Two
compartments
Before distribution After distribution
22
Single compartment
D
V
23
A1 A2
A1
A3 A2
k12
k21
k12
k21
k31
k13
k10
k10
Two compartment
model
Three compartment
model
A1 = central compartment A2 or 3 = peripheral compartments
24
2- Physiological modeling
The body is divided into a series of organs or tissue
spaces and the model describes the uptake and
disposition of the drug in each of these organs.
Building the model depends on knowledge of the
- Organ size.
- The organ blood flow.
- The drug uptake to each organ.
- Drug elimination from different organs.
25
This modeling technique is very useful
because???
Used to predict the difference in the drug pharmacokinetics
in different species by changing the size, the blood flow,
and the elimination parameters for the different species.
Used to predict the change in drug pharmacokinetics due
to physiological and pathological changes.
26
Physiologically Model
27
Model-independent approach:
This approach does not assume any specific model,
but it uses the total body clearance, mean residence
time and volume of distribution to describe the rate of
drug disposition.
28
29
Functions
)
(x
f
y 
2
x
y 
“x” is independent variable
“y” is dependent variable
eg.
30
1) Exponential functions
• N = bx
5
3
2
3
2
a
a
a
a 

 
x is the exponent, b is the base, and N represents the
number when b is raised to the xth power , ie, bx
Rules of exponents
  6
2
2
2
3
2
a
a
a
a
a 



2
2
4
2
4
2
1
a
a
a
a
a


 

  3 2
3
1
2
3
2
a
a
a 

1
0

a
eg: 1000 = 103
2
1
a
a 
31
2) Logarithmic function:
• N = bx
Then, x
N
b 
log
Natural logarithm:
Instead of using 10 as a basis for logarithms, a natural base (e) is
used.
e = 2.7182818
If, A = en Then, Loge(A) = n
ln (A) = n
2.303. log N = ln N
eg: 1000 = 103
3
1000
log10 
32
Integral Calculus
 
 .
ln const
x
dx
x
1
.
const
n
x
dx
x
n
n





1
1
Integration is the reverse of differentiation and is
considered the summation of f(x).dx, the integral sign ∫
implies summation.
Integration Rules:
 
 .
const
a
e
dx
e
ax
ax
33
Rules of logarithms
log ab = log a + log b
log a/b = log a - log b
Log 1 = ln 1 = 0
log 1/a = log 1 - log a = - log a
log a2 = log a + log a = 2 log a
log a =log a1/2 = 1/2 log a
log a-2 = -2 log a = 2 log 1/a
ln e-x = -x. ln e = -x
ln e = logee = 1
1
log 
b
b
34
Differential Calculus
• In pharmacokinetics, the amount of
the drug in the body is a variable
quantity (dependent variable), and
time is considered to be an
independent variable. Thus we
consider the amount of the drug to
vary with respect to time.
35
Rules of Differentiation
zero
y
Then
const
y
If 
 '
.,
x
y
Then
x
y
If
1

 '
,
ln
36
Graphs☺
• Language of science is mathematics
and graphs are its pictures.
• A graph is simply a visual representation
showing how one variable changes with
alteration of another variable.
• The ‘y’ variable, known as the dependent
variable, is represented on the vertical axis
(ordinate); and the ‘x’ variable, known as the
independent variable, is represented on the
horizontal axis (abscissa). It is said that ‘y’
varies with respect to ‘x’ and not ‘x’ varies with
‘y’.
37
STRAIGHT LINE GRAPHS
y = -2x + 12
0
2
4
6
8
10
12
14
0 1 2 3 4 5 6
Time, hr
Conc.,
ng/ml
38
Linear Regression
Dependant
variable
y-axis
x-axis
Independent
variable
Line of best fit
Slope
y-intercept
Quantitative description of line (trend)
y = m x + b
39
SEMILOGARITHMIC
COORDINATES
• An expression relating the plasma concentration
of a drug (Cp) versus time (t):
t
k
o
p
p e
C
C .
. 

This relationship put in linear perspective yields:
Which in the form y = b + mx
40
Routes of Administration
41
Heart
L
I
v
e
r
Kidney
Arterial
blood
Venous
blood
Lung
Gut lumen
Gut wall
Other tissues
Metabolism
Faecal excretion and decomposition
Renal excretion
Anatomic and Physiologic considerations
42
Definitions
• Absorption: Process by which a drug moves from
the site of administration into the site of
action.
• Distribution: Reversible transfer of a drug to and
from the site of action.
• Elimination: Irreversible transfer of a drug from the
site of action includes metabolic loss
renal excretion, lungs, sweat, milk, etc
43
Application of the biopharmaceutic and
pharmacokinetic principles in the biomedical
fields
Drug formulation design
Drug dosage form design
Pharmacological testing
Toxicological testing
Evaluation of organ function
Dosage regimen design
44
Linear Pharmacokinetics
• Linear = rate of elimination is
proportional to amount of drug
present.
• Dosage increases result in
proportional increase in plasma
drug levels
• Dose or conc.-independent PK
• It means all PK parameters are
constant, not depend on conc.
• Change in the dose lead to change
in drug conc.
0
20
40
60
80
100
120
dose
concentration
45
• Nonlinear = rate of elimination is
constant regardless of amount of
drug present
• Dose or conc.-dependent PK
• It means PK parameters depend
on conc.
• Dosage increases saturate
binding sites and result in non-
proportional ± in drug levels
• Then change in the dose does not
lead to change in drug conc.
0
5
10
15
20
25
30
35
40
45
50
dose
concentration
Nonlinear Pharmacokinetics
46
Rate of
eliminat’n
Rate of
eliminat’n
Blood drug conc Blood drug conc
Linear kinetics
(most drugs)
Non-linear
kinetics
(e.g. phenytoin)
47
Linear and nonlinear pharmacokinetics
Linear Pharmacokinetics Nonlinear Pharmacokinetics
Dose-independent or concentration-
independent pharmacokinetics.
The absorption, distribution, and
elimination of the drug follow first-
order kinetics.
All the pharmacokinetic parameters
such as the half life, total body
clearance and volume of distribution
are constant and do not depend on
the drug concentration.
The change in drug dose results in
proportional change in the drug
concentration.
Dose-dependent, or concentration-
dependent pharmacokinetics.
At least one of the pharmacokinetic
processes (absorption, distribution or
elimination) is saturable.
One or more of the pharmacokinetic
parameters such as the half life, total
body clearance or volume of
distribution are concentration-
dependent.
The change in drug dose results in
more than proportional or less than
proportional change in drug
concentration.
48
Pharmacokinetic simulation
Pharmacokinetic simulations involve graphical
presentation of the drug profile (concentration) in the body
given specific values for the pharmacokinetic parameters.
For example: The plasma concentration-time profile after
a single IV dose administration can be described by the
following equation:
The calculated plasma concentrations at the
different time points are plotted to show the plasma
concentration-time profile. By choosing different values of the
pharmacokinetic parameters.
kt
Vd
Dose
C e
p


49
Pharmacokinetic simulations can be used to
visualize the effect of changing one or more
pharmacokinetic parameters on the drug
concentration-time profile.
We can change the dose of the drug and keep all
the other parameters constant to examine the
effect of changing the dose on the drug
concentration time profile e.g Vd, CLT
Larger dose produce higher plasma
concentrations
50
Drug at absorption site
Time
Plasma
drug
conc
(mg/L)
20
40
60
80
100
1000 mg
750 mg
500 mg

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PK. introduction.ppt

  • 1. Biopharmaceutics &Pharmacokinetics PHT 431 • Sources: • Basic Biopharmaceutics &Pharmacokinetics Prof. Dr. Mohsen Hedaya, Prof. Dr. Chargel Internet site: Boomer.com 1
  • 2. 2 • Biopharmaceutics: Is the science that studies the relationship between the physicochemical properties of the drug, the dosage form in which the drug is given and the route of administration and the rate and extent of systemic drug absorption. • Pharmacokinetics is the science of the kinetics of drug Absorption, Distribution, Metabolism and Elimination (kinetic study of ADME). Biopharmaceutics & Pharmacokinetics
  • 3. 3 Biopharmaceutics: is the science that deals with the relationship between the drug physicochemical properties, the dosage form characteristics, the route of drug administration and the availability of the drug to the site of drug action. physicochemical properties dosage form characteristics route of drug administration availability of the drug to the site of drug action stability, solubility, membrane permeability, and drug affinity to different tissue components.
  • 4. 4 Pharmacokinetics deals with the mathematical description of the rates of drug movement into, within and exit from the body
  • 5. 5 Pharmacodynamics: Is the time course for the drug effect and the relationship between the drug concentration and the observed therapeutic effects. Studying the pharmacodynamics of the drug is important in determining the change in the drug effect due to the change of the time course of the drug in the body.
  • 6. 6 Drug in dosage form Release Drug particles in body fluids Dissolution Drug in solution Degradation Absorption Liver Excretion GI Central Compartment Free  Bound Distribution Peripheral Tissues Pharmacologic effect Pharmacodynamics Biopharmaceutics Pharmacokinetics
  • 7. 7 Pharmaco- - kinetics (What the body does to the drug) - Dynamics (What the drug does to the body)
  • 8. 8 PHARMACODYNAMICS Site/Mechanism of action, Potency, Efficacy, etc. PHARMACOKINETICS Absorption, Distribution, Metabolism, Excretion
  • 9. 9 Pharmacokinetics v. Pharmacodynamics Pharmacokinetics Pharmacodynamics Action Of the body on the drug Of the drug on the body System Absorption, distribution, metabolism, elimination (ADME) Biological legends or other targets in the biophase. Output Concentration-time relationships Biological response
  • 10. 10 Clinical Pharmacokinetics • Application the basic pharmacokinetic principles in individualization of drug therapy • Drug concentration as a guide for the design of appropriate dosage regimen for each individual patient.
  • 11. 11 Drug concentration Time minimum effective concentration A B C The drug-concentration-time profile Studying the rate of drug absorption, distribution and elimination allows characterization of the time course of the drug concentration in the body. Administration of the same dose of different drugs to the same individual will produce different drug concentration-time profiles. This is because different drugs have different rate of absorption, distribution and elimination.
  • 12. 12 Plasma Concentration Time Curve • Peak plasma concentration (Cmax) is the maximum concentration or level of the drug reached and it is related to the dose, the absorption rate constant and the elimination rate constant. • Time of peak plasma concentration (tmax) is the time of the maximum drug concentration in plasma and it is a measure of the rate of drug absorption. • The area under the curve (AUC) is the area under the plasma concentration time curve which relates to the amount or extent of drug absorbed
  • 13. 13 Figure 1. Graph of the elimination of drug from the plasma after a single IV injection 0 5 10 15 20 25 30 35 40 45 0 1 2 3 4 5 6 T ime (hr) Plasma drug level (ug/ml)  For example figure 1 shows a curve representing the elimination of a drug from the plasma after a single intravenous injection.  The area between time intervals is the area of a trapezoid and can be calculated with the following formula: ) ( 2 ] [ 1 1 1       n n n n n t n t t t C C AUC  t tn AUC] [ k Cpn = AUC Cpn
  • 15. 15 Compartment Models • Pharmacokinetic model is defined as a mathematical model used to simulate the rate processes of drug absorption, distribution and metabolism, and predict drug concentration in the body as a function of time. • Pharmacokinetic models are used to predict plasma, tissue and urine drug levels; to estimate the possible accumulation of drugs and also to correlate the drug concentrations with pharmacologic response. • These models are useful to predict the time course of drugs in the body and to allow us to maintain drug concentration in the therapeutic range (optimize therapy).
  • 17. 17 A1 A2 k12 k21 k Two compartment model A1 = central compartment A2 = peripheral compartment Before distribution After distribution
  • 18. 18 Pharmacokinetic modeling The goal of pharmacokinetic data analysis - Estimate the pharmacokinetic parameters that determine the rate of drug absorption, distribution and elimination. - Evaluation of these parameters requires the assumption of a specific pharmacokinetic model. Pharmacokinetic models allow quantitative (mathematical) description of the rate of drug absorption, distribution and elimination after administration.
  • 19. 19 Why modeling??? 1- Prediction of the drug pharmacokinetic behavior after administration of different dosing regimens. 2- Prediction of the changes in drug pharmacokinetic behavior due to physiological and pathological changes.
  • 20. 20 1- Compartmental modeling: The body is divided into one or more compartments. The model describes the distribution of the drug between the compartments and drug elimination from one or more of the compartments. These models differ in the number of compartments and the arrangement of the compartments relative to each other. Modeling approaches
  • 23. 23 A1 A2 A1 A3 A2 k12 k21 k12 k21 k31 k13 k10 k10 Two compartment model Three compartment model A1 = central compartment A2 or 3 = peripheral compartments
  • 24. 24 2- Physiological modeling The body is divided into a series of organs or tissue spaces and the model describes the uptake and disposition of the drug in each of these organs. Building the model depends on knowledge of the - Organ size. - The organ blood flow. - The drug uptake to each organ. - Drug elimination from different organs.
  • 25. 25 This modeling technique is very useful because??? Used to predict the difference in the drug pharmacokinetics in different species by changing the size, the blood flow, and the elimination parameters for the different species. Used to predict the change in drug pharmacokinetics due to physiological and pathological changes.
  • 27. 27 Model-independent approach: This approach does not assume any specific model, but it uses the total body clearance, mean residence time and volume of distribution to describe the rate of drug disposition.
  • 28. 28
  • 29. 29 Functions ) (x f y  2 x y  “x” is independent variable “y” is dependent variable eg.
  • 30. 30 1) Exponential functions • N = bx 5 3 2 3 2 a a a a     x is the exponent, b is the base, and N represents the number when b is raised to the xth power , ie, bx Rules of exponents   6 2 2 2 3 2 a a a a a     2 2 4 2 4 2 1 a a a a a        3 2 3 1 2 3 2 a a a   1 0  a eg: 1000 = 103 2 1 a a 
  • 31. 31 2) Logarithmic function: • N = bx Then, x N b  log Natural logarithm: Instead of using 10 as a basis for logarithms, a natural base (e) is used. e = 2.7182818 If, A = en Then, Loge(A) = n ln (A) = n 2.303. log N = ln N eg: 1000 = 103 3 1000 log10 
  • 32. 32 Integral Calculus    . ln const x dx x 1 . const n x dx x n n      1 1 Integration is the reverse of differentiation and is considered the summation of f(x).dx, the integral sign ∫ implies summation. Integration Rules:    . const a e dx e ax ax
  • 33. 33 Rules of logarithms log ab = log a + log b log a/b = log a - log b Log 1 = ln 1 = 0 log 1/a = log 1 - log a = - log a log a2 = log a + log a = 2 log a log a =log a1/2 = 1/2 log a log a-2 = -2 log a = 2 log 1/a ln e-x = -x. ln e = -x ln e = logee = 1 1 log  b b
  • 34. 34 Differential Calculus • In pharmacokinetics, the amount of the drug in the body is a variable quantity (dependent variable), and time is considered to be an independent variable. Thus we consider the amount of the drug to vary with respect to time.
  • 35. 35 Rules of Differentiation zero y Then const y If   ' ., x y Then x y If 1   ' , ln
  • 36. 36 Graphs☺ • Language of science is mathematics and graphs are its pictures. • A graph is simply a visual representation showing how one variable changes with alteration of another variable. • The ‘y’ variable, known as the dependent variable, is represented on the vertical axis (ordinate); and the ‘x’ variable, known as the independent variable, is represented on the horizontal axis (abscissa). It is said that ‘y’ varies with respect to ‘x’ and not ‘x’ varies with ‘y’.
  • 37. 37 STRAIGHT LINE GRAPHS y = -2x + 12 0 2 4 6 8 10 12 14 0 1 2 3 4 5 6 Time, hr Conc., ng/ml
  • 38. 38 Linear Regression Dependant variable y-axis x-axis Independent variable Line of best fit Slope y-intercept Quantitative description of line (trend) y = m x + b
  • 39. 39 SEMILOGARITHMIC COORDINATES • An expression relating the plasma concentration of a drug (Cp) versus time (t): t k o p p e C C . .   This relationship put in linear perspective yields: Which in the form y = b + mx
  • 41. 41 Heart L I v e r Kidney Arterial blood Venous blood Lung Gut lumen Gut wall Other tissues Metabolism Faecal excretion and decomposition Renal excretion Anatomic and Physiologic considerations
  • 42. 42 Definitions • Absorption: Process by which a drug moves from the site of administration into the site of action. • Distribution: Reversible transfer of a drug to and from the site of action. • Elimination: Irreversible transfer of a drug from the site of action includes metabolic loss renal excretion, lungs, sweat, milk, etc
  • 43. 43 Application of the biopharmaceutic and pharmacokinetic principles in the biomedical fields Drug formulation design Drug dosage form design Pharmacological testing Toxicological testing Evaluation of organ function Dosage regimen design
  • 44. 44 Linear Pharmacokinetics • Linear = rate of elimination is proportional to amount of drug present. • Dosage increases result in proportional increase in plasma drug levels • Dose or conc.-independent PK • It means all PK parameters are constant, not depend on conc. • Change in the dose lead to change in drug conc. 0 20 40 60 80 100 120 dose concentration
  • 45. 45 • Nonlinear = rate of elimination is constant regardless of amount of drug present • Dose or conc.-dependent PK • It means PK parameters depend on conc. • Dosage increases saturate binding sites and result in non- proportional ± in drug levels • Then change in the dose does not lead to change in drug conc. 0 5 10 15 20 25 30 35 40 45 50 dose concentration Nonlinear Pharmacokinetics
  • 46. 46 Rate of eliminat’n Rate of eliminat’n Blood drug conc Blood drug conc Linear kinetics (most drugs) Non-linear kinetics (e.g. phenytoin)
  • 47. 47 Linear and nonlinear pharmacokinetics Linear Pharmacokinetics Nonlinear Pharmacokinetics Dose-independent or concentration- independent pharmacokinetics. The absorption, distribution, and elimination of the drug follow first- order kinetics. All the pharmacokinetic parameters such as the half life, total body clearance and volume of distribution are constant and do not depend on the drug concentration. The change in drug dose results in proportional change in the drug concentration. Dose-dependent, or concentration- dependent pharmacokinetics. At least one of the pharmacokinetic processes (absorption, distribution or elimination) is saturable. One or more of the pharmacokinetic parameters such as the half life, total body clearance or volume of distribution are concentration- dependent. The change in drug dose results in more than proportional or less than proportional change in drug concentration.
  • 48. 48 Pharmacokinetic simulation Pharmacokinetic simulations involve graphical presentation of the drug profile (concentration) in the body given specific values for the pharmacokinetic parameters. For example: The plasma concentration-time profile after a single IV dose administration can be described by the following equation: The calculated plasma concentrations at the different time points are plotted to show the plasma concentration-time profile. By choosing different values of the pharmacokinetic parameters. kt Vd Dose C e p  
  • 49. 49 Pharmacokinetic simulations can be used to visualize the effect of changing one or more pharmacokinetic parameters on the drug concentration-time profile. We can change the dose of the drug and keep all the other parameters constant to examine the effect of changing the dose on the drug concentration time profile e.g Vd, CLT Larger dose produce higher plasma concentrations
  • 50. 50 Drug at absorption site Time Plasma drug conc (mg/L) 20 40 60 80 100 1000 mg 750 mg 500 mg