SlideShare a Scribd company logo
#
#
Mohi-ud-din islaMic instituteMohi-ud-din islaMic institute
ofof
PharMaceutical sciences.PharMaceutical sciences.
#
-:PRESENTED BY:-
Muslim Khan
Class: 4th
Year Pharm-D
Roll No# 19
#
CONTENTS
Introduction
 Nonlinearity Pharmacokinetic
Causes of nonlinearity
Michaelis – Menten equation
Estimation of Km and Vmax
Estimation of Km and Vmax at steady-state concentration
#
» Dose independent paharmacokinetic
Pharmacokinetic paraméters dont change with increse or
decrease in dose
» In such situation the rate processes are follw first order or
linear kinetics and all semilog plots of C Vs t for different
doses are superimposable.
LINEAR PHARMACOKINETICS
#
NONLINEAR PHARMACOKINETICS
» Dose dependent paharmacokinetic
Pharmacokinetic paraméters change with increse or decrease
in dose
Pharmacokinetic paraméters(ADME ) are depend upon carrier
or enzymes that are substrate specific, have definite
capacities and are susceptible to saturation at a high drug
concentration.
» In such cases, first-order kinetics transform into a mixture of
first-order and zero-order rate processes
»
#
Linear Pharmacokinetics Non Linear
Pharmacokinetics
Pharmacokinetic parameters
for a drug would not change
with change in dose
Pharmacokinetic
parameters for a drug can
change with change in dose.
Dose Independent Dose dependent
First Order kinetics Also called as Mixed order,
Saturated kinetics, capacity
limited
All semilog plots of C vs t for
diff. doses are
superimposable.
Not superimposable
#
CAUSES OF NON-LINEARITY
• Three causes:-
• I) Solubility / dissolution of drug is rate-limited;
Griseofulvin - at high concentration in intestine.
II) Carrier - mediated transport system; Ascorbic
acid - saturation of transport system.
III) Presystemic gut wall / hepatic metabolism
attains saturation; Propranolol.
Drug absorption
#
At high doses non-linearity due to
• Two causes:-
• I) Binding sites on plasma proteins get
saturated; Phenylbutazone.
• II) Tissue binding sites get saturated.
• In both cases there is increase in plasma drug
concentration.
.
Drug distribution
#
• Non-linearity occurs due to capacity limited metabolism, small
changes in dose administration - large variations in plasma
concentration at steady state.
• Two imp causes:-
• I) Capacity - limited metabolism - enzyme &/
cofactor saturation; Phenytoin, Alcohol.
• II) Enzyme induction - decrease in plasma
concentration; Carbamazepine.
Drug metabolism
#
Drug excretion
• Two active processes which are saturable,
I) Active tubular secretion - Penicillin G
II) Active tubular reabsorption - Water soluble
vitamins & Glucose.
• Saturation of carrier systems - decrease in renal clearance
& increase in Half life.
• Other reasons like forced diuresis, change in urine pH,
nephrotoxicity & saturation of binding sites.
• In case of biliary excretion non - linearity due to saturation -
Tetracycline & Indomethacin.
#
Drugs that demonstrate saturation kinetics
usually show the following characteristics:
1. Elimination of drug does not follow simple first-order kinetics—
that is, elimination kinetics are nonlinear.
2. The elimination half-life changes as dose is increased. Usually,
the elimination half-life increases with increased dose due to
saturation of an enzyme system.
#
3. The area under the curve (AUC) is not proportional to
the amount of bioavailable drug.
4. The saturation of capacity-limited processes may be
affected by other drugs that require the same
enzyme or carrier-mediated system
(ie,competition effects).
#
Saturable Enzymatic Elimination
Processes
• Michaelis–Menten kinetics:
dCp/dt = rate of decline of drug concentration with time.
Vmax = theoretical maximum rate of the process.
Km = Michaelis constant.
#
C p
>> K m
C p
= K m
C p
<< K m
• saturation of the
enzymes occurs.
•The value for K M
is negligible.
•The rate of
elimination
proceeds at a
constant rate
•Rate of process is
= one half of its
max. rate
• -dc/dt = Vmax/2
•rate of drug
elimination becomes
a first-order process
#
Drug Elimination by CapacityLimitedPharmacokinetics:
One-Compartment Model, IV Bolus Injection:
• If a single IV bolus injection of drug (D 0
) is
given at t = 0, the drug concentration (C p
) in
the plasma at any time t may be calculated by
an integrating equation,
#
• Amount of drug in the body after IV Bolus ,
• Where, D 0
is the amount of drug in the body at
t = 0.
• To calculate time for dose in the boy
• Rearranging equation:
#
Determination of K M
and V max
#
ESTIMATION OF Vmax & Km
In enzymatic kinetic work, the classic Michaelis-Menten
equation:
Vmax . C ………..(1)
KM + C
where, V= reaction rate,
C= substrate conc. both are
used to determine Vmax
& Km.
The velocity of the reaction(V) at various concentration levels of
drug(C) are determined either by in-vitro experiments or in-vivo
experiments at constant enzyme levels.
V =
#
Method 1
By inverting equation (1), we get :
1 Km . 1 1 ……..(2)
V Vmax . C Vmax
When 1/V is plotted against 1/C, a straight line is
obtained with a slope of Km/Vmax and an Intercept of
1/Vmax.
= +
#
Figure 2
Plot of 1/V vs 1/C for determining Km & Vmax
-1/ Km
Km/Vmax
1/ Vmax
#
Multiplying eq. 2 by C, we get :
C Km C
= + ………..... (3)
V Vmax Vmax
A plot of C /V vs C gives a straight line with 1 / Vmax as the slope and
Km / Vmax as the intercept (shown in the fig. 3).
Method 2
#
Figure 3.
Plot of C/V vs C for determining Km & Vmax
ax
ax
#
The equation can also be written
as :
V = - Km V + Vmax …………(4)
C
A plot of V vs V / C gives a straight line with a slope of –Km & an Intercept
of Vmax. (shown in the fig. 4)
Method 3
#
Figure 4
Plot of V vs V / C for determining Km & Vmax
#
CALCULATION OF KM & VMAX
STEADY- STATE CONCENTRATION
• If drug is administered for constant rate IV infusion/ in a multiple
dosage regimen, the steady-state conc. is given in terms of
dosing rate (DR):
DR = Css
• If the steady-state is reached, then the dosing rate = the rate of
decline in plasma drug conc. & if the decline occurs due to a
single capacity-limited process then eq. I become as:
• From a plot of Css vs. DR, a typical curve having a shape of
hocky-stick is obtained which is shown in fig. 5.
……………….. (1)
=
Vmax Css
KM+ Css
DR ……………….. (2)
#
Css
Km
Vmax / 2 Vmax
DR (in mg/hr or mg/day )
Curve for a drug following nonlinear kinetics
By plotting the steady-state concentration against dosing rates
Figure 5
#
METHODS USED TO
DETERMINE THE
KM & VMAX AT
STEADY-STATE
#
• There are three methods which are used to define the KM
& Vmax at steady-state with appreciable accuracy:
1) Lineweaver-Burk Plot:- the reciprocal of eq. (2) we get
• If 1/DR is plotted against 1/Css a straight line is obtained
having slope KM/Vmax & y-intercept 1/Vmax.
2) Direct linear plot:-
• Plotting a pair of Css, i.e.Css1,&Css2 against corresponding
dosing rates DR1 & DR2 we get following fig. 6 which
gives values KM &Vmax
1
DR
=
KM
Vmax Css
1
Vmax
+ ……………….. (3)
#
Css
Css 1 Css 2
0 KM
KM
DR
DR1
DR2
Vmax
Direct linear plot for estimation of KM & Vmax
at steady-state conc. Of a drug, when it is
administered at different dosing rates
Figure 6
#
3) Graphical method:-
• In this method by rearranging eq. (2) we get
• In graph DR is plotted against DR/Css, a straight line is
obtained with slope –KM & y - intercept Vmax.
• KM & Vmax can be estimated by simultaneous eq. as
DR
DR
Css
KM
= Vmax
……………….. (4)
=DR1
=DR2
……………….. (6)
…………….…...(5)
-
Vmax
Vmax
-
-
KM
KM
DR1
DR2
Css1
Css2
#
• On solving above eq. 5 & 6 we get,
• By substituting values of DR1, DR2, Css1 & Css2 we get value of
KM & from KM we can found value of Vmax at steady-state
concentration.
• From experimental observations, it shows that KM is much
less variable than Vmax.
KM =
DR2- DR1
Css 1 Css 2
DR1 DR2
-
……………….. (7)
DR
3) Graphical method:-
#

More Related Content

What's hot

Non linear pharmacokinetics and different volumes of distribution
Non linear pharmacokinetics and different volumes of distributionNon linear pharmacokinetics and different volumes of distribution
Non linear pharmacokinetics and different volumes of distributionMalla Reddy College of Pharmacy
 
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusPharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Areej Abu Hanieh
 
Basics of Pharmacokinetics
Basics of PharmacokineticsBasics of Pharmacokinetics
Basics of Pharmacokinetics
Mohammed Asadullah Jahangir
 
Two compartment open model sulekhappt.x.1
Two compartment open model sulekhappt.x.1Two compartment open model sulekhappt.x.1
Two compartment open model sulekhappt.x.1
Sulekha Rohilla
 
one compartment model ppt
one compartment model pptone compartment model ppt
one compartment model ppt
Sheetal Jha
 
Concept of clearance & factors affecting renal excretion
Concept of clearance & factors affecting renal excretionConcept of clearance & factors affecting renal excretion
Concept of clearance & factors affecting renal excretion
chiranjibi68
 
Estimation of pharmacokinetic parameters
Estimation of pharmacokinetic parametersEstimation of pharmacokinetic parameters
Estimation of pharmacokinetic parameters
Karun Kumar
 
Two compartment model iv bolus muju
Two compartment model iv bolus mujuTwo compartment model iv bolus muju
Two compartment model iv bolus muju
Hirepravin
 
Bioavailability Studies
Bioavailability StudiesBioavailability Studies
Bioavailability Studies
AmrutaSambrekar
 
One compartment model IV Infusion
One compartment model IV InfusionOne compartment model IV Infusion
One compartment model IV Infusion
LakshmiChandran20
 
non linear pharmacokinetics
 non linear pharmacokinetics non linear pharmacokinetics
non linear pharmacokinetics
SUJITHA MARY
 
Multi compartment models
Multi compartment models Multi compartment models
Multi compartment models
SafalataJain
 
Non linear Pharmacokinetics
Non linear PharmacokineticsNon linear Pharmacokinetics
Non linear Pharmacokinetics
Areej Abu Hanieh
 
Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling
Manjit Kaur
 
Causes of non linearity in pharmacokinetics pdf
Causes of non linearity in pharmacokinetics pdfCauses of non linearity in pharmacokinetics pdf
Causes of non linearity in pharmacokinetics pdf
Niva Rani Gogoi
 
Biopharmaceutics by ND Sir
Biopharmaceutics by ND Sir Biopharmaceutics by ND Sir
Biopharmaceutics by ND Sir
Gpat First
 

What's hot (20)

Non linear pharmacokinetics and different volumes of distribution
Non linear pharmacokinetics and different volumes of distributionNon linear pharmacokinetics and different volumes of distribution
Non linear pharmacokinetics and different volumes of distribution
 
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusPharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
 
Non linear pharmacokinetics
Non linear pharmacokineticsNon linear pharmacokinetics
Non linear pharmacokinetics
 
Basics of Pharmacokinetics
Basics of PharmacokineticsBasics of Pharmacokinetics
Basics of Pharmacokinetics
 
Two compartment open model sulekhappt.x.1
Two compartment open model sulekhappt.x.1Two compartment open model sulekhappt.x.1
Two compartment open model sulekhappt.x.1
 
one compartment model ppt
one compartment model pptone compartment model ppt
one compartment model ppt
 
Pharmacokinetic models
Pharmacokinetic modelsPharmacokinetic models
Pharmacokinetic models
 
Concept of clearance & factors affecting renal excretion
Concept of clearance & factors affecting renal excretionConcept of clearance & factors affecting renal excretion
Concept of clearance & factors affecting renal excretion
 
Estimation of pharmacokinetic parameters
Estimation of pharmacokinetic parametersEstimation of pharmacokinetic parameters
Estimation of pharmacokinetic parameters
 
Two compartment model iv bolus muju
Two compartment model iv bolus mujuTwo compartment model iv bolus muju
Two compartment model iv bolus muju
 
Bioavailability Studies
Bioavailability StudiesBioavailability Studies
Bioavailability Studies
 
One compartment model IV Infusion
One compartment model IV InfusionOne compartment model IV Infusion
One compartment model IV Infusion
 
non linear pharmacokinetics
 non linear pharmacokinetics non linear pharmacokinetics
non linear pharmacokinetics
 
Multi compartment models
Multi compartment models Multi compartment models
Multi compartment models
 
Non linear Pharmacokinetics
Non linear PharmacokineticsNon linear Pharmacokinetics
Non linear Pharmacokinetics
 
Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling
 
Multicompartment Models
Multicompartment ModelsMulticompartment Models
Multicompartment Models
 
Causes of non linearity in pharmacokinetics pdf
Causes of non linearity in pharmacokinetics pdfCauses of non linearity in pharmacokinetics pdf
Causes of non linearity in pharmacokinetics pdf
 
Pharmacokinetics of multiple dosing
Pharmacokinetics of multiple dosingPharmacokinetics of multiple dosing
Pharmacokinetics of multiple dosing
 
Biopharmaceutics by ND Sir
Biopharmaceutics by ND Sir Biopharmaceutics by ND Sir
Biopharmaceutics by ND Sir
 

Viewers also liked

Nonlinear pharmacokinetic
Nonlinear pharmacokineticNonlinear pharmacokinetic
Nonlinear pharmacokineticlonevidya
 
A PPT on Non-linear Pharmacokinetics
A PPT on Non-linear PharmacokineticsA PPT on Non-linear Pharmacokinetics
A PPT on Non-linear Pharmacokinetics
Priyanka Modugu
 
Non linear biopharmaceutics
Non linear biopharmaceuticsNon linear biopharmaceutics
Non linear biopharmaceuticsDanish Kurien
 
Compartment Modelling
Compartment ModellingCompartment Modelling
Compartment Modelling
Pallavi Kurra
 
Determination of (a) Wavelength of maximum absorbance (λmax) and (b) Absor...
 Determination of  (a) Wavelength of maximum absorbance (λmax) and  (b) Absor... Determination of  (a) Wavelength of maximum absorbance (λmax) and  (b) Absor...
Determination of (a) Wavelength of maximum absorbance (λmax) and (b) Absor...
Protik Biswas
 
Bioavailability of drgs that follow nonlinear pharmacokinetics
Bioavailability of drgs that follow nonlinear pharmacokineticsBioavailability of drgs that follow nonlinear pharmacokinetics
Bioavailability of drgs that follow nonlinear pharmacokineticsMalla Reddy College of Pharmacy
 
chiral pharmacokinetic
chiral pharmacokineticchiral pharmacokinetic
chiral pharmacokinetic
maryam kazemi
 
Chronopharmacokinetics
ChronopharmacokineticsChronopharmacokinetics
Chronopharmacokinetics
lamar university, beaumont texas
 
Liposome
LiposomeLiposome
Liposome
Gaurav Kr
 
Parenteral drug delivery
Parenteral drug deliveryParenteral drug delivery
Parenteral drug deliveryGaurav Kr
 
Physiological pharmacokinetic models
Physiological pharmacokinetic modelsPhysiological pharmacokinetic models
Physiological pharmacokinetic modelsSanjay Yadav
 
parentral controlled drug delivery system
parentral controlled drug delivery systemparentral controlled drug delivery system
parentral controlled drug delivery system
swapna porandla
 
Drug release kinetics
Drug release kineticsDrug release kinetics
Drug release kinetics
Sagar Savale
 
Parenteral controlled release drug delivery system - by varsha phirke
Parenteral controlled release drug delivery system - by varsha phirkeParenteral controlled release drug delivery system - by varsha phirke
Parenteral controlled release drug delivery system - by varsha phirke
Varsha Phirke
 
Michaelis-menten kinetics
Michaelis-menten kineticsMichaelis-menten kinetics
Michaelis-menten kineticsMunawar Ali
 
Parenteral controlled drug delivery system sushmitha
Parenteral controlled drug delivery system sushmithaParenteral controlled drug delivery system sushmitha
Parenteral controlled drug delivery system sushmithaDanish Kurien
 
liposomes and niosomes
liposomes and niosomes liposomes and niosomes
liposomes and niosomes swethaaitha
 
NOVEL DRUG DELIVERY SYSTEM REVIEW
NOVEL DRUG DELIVERY SYSTEM REVIEW�NOVEL DRUG DELIVERY SYSTEM REVIEW�
NOVEL DRUG DELIVERY SYSTEM REVIEW
Aminu Kende
 
Sustained release dosage form
Sustained release dosage formSustained release dosage form
Sustained release dosage form
Sujit Patel
 

Viewers also liked (20)

Nonlinear pharmacokinetic
Nonlinear pharmacokineticNonlinear pharmacokinetic
Nonlinear pharmacokinetic
 
A PPT on Non-linear Pharmacokinetics
A PPT on Non-linear PharmacokineticsA PPT on Non-linear Pharmacokinetics
A PPT on Non-linear Pharmacokinetics
 
Non linear biopharmaceutics
Non linear biopharmaceuticsNon linear biopharmaceutics
Non linear biopharmaceutics
 
Compartment Modelling
Compartment ModellingCompartment Modelling
Compartment Modelling
 
Determination of (a) Wavelength of maximum absorbance (λmax) and (b) Absor...
 Determination of  (a) Wavelength of maximum absorbance (λmax) and  (b) Absor... Determination of  (a) Wavelength of maximum absorbance (λmax) and  (b) Absor...
Determination of (a) Wavelength of maximum absorbance (λmax) and (b) Absor...
 
Bioavailability of drgs that follow nonlinear pharmacokinetics
Bioavailability of drgs that follow nonlinear pharmacokineticsBioavailability of drgs that follow nonlinear pharmacokinetics
Bioavailability of drgs that follow nonlinear pharmacokinetics
 
chiral pharmacokinetic
chiral pharmacokineticchiral pharmacokinetic
chiral pharmacokinetic
 
Chronopharmacokinetics
ChronopharmacokineticsChronopharmacokinetics
Chronopharmacokinetics
 
Liposome
LiposomeLiposome
Liposome
 
Parenteral drug delivery
Parenteral drug deliveryParenteral drug delivery
Parenteral drug delivery
 
Protein binding of drugs
Protein binding of drugsProtein binding of drugs
Protein binding of drugs
 
Physiological pharmacokinetic models
Physiological pharmacokinetic modelsPhysiological pharmacokinetic models
Physiological pharmacokinetic models
 
parentral controlled drug delivery system
parentral controlled drug delivery systemparentral controlled drug delivery system
parentral controlled drug delivery system
 
Drug release kinetics
Drug release kineticsDrug release kinetics
Drug release kinetics
 
Parenteral controlled release drug delivery system - by varsha phirke
Parenteral controlled release drug delivery system - by varsha phirkeParenteral controlled release drug delivery system - by varsha phirke
Parenteral controlled release drug delivery system - by varsha phirke
 
Michaelis-menten kinetics
Michaelis-menten kineticsMichaelis-menten kinetics
Michaelis-menten kinetics
 
Parenteral controlled drug delivery system sushmitha
Parenteral controlled drug delivery system sushmithaParenteral controlled drug delivery system sushmitha
Parenteral controlled drug delivery system sushmitha
 
liposomes and niosomes
liposomes and niosomes liposomes and niosomes
liposomes and niosomes
 
NOVEL DRUG DELIVERY SYSTEM REVIEW
NOVEL DRUG DELIVERY SYSTEM REVIEW�NOVEL DRUG DELIVERY SYSTEM REVIEW�
NOVEL DRUG DELIVERY SYSTEM REVIEW
 
Sustained release dosage form
Sustained release dosage formSustained release dosage form
Sustained release dosage form
 

Similar to Nonlinear pharmacokinetic

NONLINEAR PHARMACOKINETICS_ppt.pdf
NONLINEAR PHARMACOKINETICS_ppt.pdfNONLINEAR PHARMACOKINETICS_ppt.pdf
NONLINEAR PHARMACOKINETICS_ppt.pdf
Kirti Goel
 
Non linear pharmacokinetics
Non linear pharmacokineticsNon linear pharmacokinetics
Non linear pharmacokinetics
Shashi Yadav
 
Concept of nonlinear pharmacokinetic
Concept of nonlinear pharmacokineticConcept of nonlinear pharmacokinetic
Concept of nonlinear pharmacokinetic
kavita bahmani
 
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptxMichaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
RugvedSathawane
 
Non linear kinetics
Non linear kineticsNon linear kinetics
Non linear kinetics
Suvarta Maru
 
Non linear Pharmacokinetics 2
Non linear Pharmacokinetics 2Non linear Pharmacokinetics 2
Non linear Pharmacokinetics 2
Areej Abu Hanieh
 
Biopharmaceutics Non linear pharmacokinetics
Biopharmaceutics Non linear pharmacokineticsBiopharmaceutics Non linear pharmacokinetics
Biopharmaceutics Non linear pharmacokinetics
shortsmotivation87
 
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciencesTherapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
khalafpharm
 
Non linear pharmacokinetics.
Non linear pharmacokinetics.Non linear pharmacokinetics.
Non linear pharmacokinetics.
jatin singla
 
Nomograms and tabulations in design of dosage regimens
Nomograms and tabulations in design of dosage regimens Nomograms and tabulations in design of dosage regimens
Nomograms and tabulations in design of dosage regimens
pavithra vinayak
 
METHOD OF RESIDUALS
METHOD OF RESIDUALSMETHOD OF RESIDUALS
METHOD OF RESIDUALS
Divya Pushp
 
Week 4- the two open compartment
Week 4- the two open compartmentWeek 4- the two open compartment
Week 4- the two open compartment
lichlmh
 
Pharmacokinetic study of epileptic patients
Pharmacokinetic study of epileptic patientsPharmacokinetic study of epileptic patients
Pharmacokinetic study of epileptic patients
saima rani
 
Calculate and Interpret Pharmacokinetic Parameters of a Given Drug
Calculate and Interpret Pharmacokinetic Parameters of a Given DrugCalculate and Interpret Pharmacokinetic Parameters of a Given Drug
Calculate and Interpret Pharmacokinetic Parameters of a Given Drug
Shivankan Kakkar
 
A seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administrationA seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administrationMalla Reddy College of Pharmacy
 
kinetics (Lec 1).pptx
kinetics (Lec 1).pptxkinetics (Lec 1).pptx
kinetics (Lec 1).pptx
HebaYassin10
 
Pharmacokinetic Models
Pharmacokinetic ModelsPharmacokinetic Models
Pharmacokinetic Models
IBNSINA National Medical College
 
Math fundamentals
Math fundamentalsMath fundamentals
Math fundamentals
Areej Abu Hanieh
 
clinical pharmacokinetics slideahere final.pptx
clinical pharmacokinetics slideahere final.pptxclinical pharmacokinetics slideahere final.pptx
clinical pharmacokinetics slideahere final.pptx
marakiwmame
 
Pharacokinetics power point for pharmacy
Pharacokinetics power point  for pharmacyPharacokinetics power point  for pharmacy
Pharacokinetics power point for pharmacy
emebetnigatu1
 

Similar to Nonlinear pharmacokinetic (20)

NONLINEAR PHARMACOKINETICS_ppt.pdf
NONLINEAR PHARMACOKINETICS_ppt.pdfNONLINEAR PHARMACOKINETICS_ppt.pdf
NONLINEAR PHARMACOKINETICS_ppt.pdf
 
Non linear pharmacokinetics
Non linear pharmacokineticsNon linear pharmacokinetics
Non linear pharmacokinetics
 
Concept of nonlinear pharmacokinetic
Concept of nonlinear pharmacokineticConcept of nonlinear pharmacokinetic
Concept of nonlinear pharmacokinetic
 
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptxMichaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
 
Non linear kinetics
Non linear kineticsNon linear kinetics
Non linear kinetics
 
Non linear Pharmacokinetics 2
Non linear Pharmacokinetics 2Non linear Pharmacokinetics 2
Non linear Pharmacokinetics 2
 
Biopharmaceutics Non linear pharmacokinetics
Biopharmaceutics Non linear pharmacokineticsBiopharmaceutics Non linear pharmacokinetics
Biopharmaceutics Non linear pharmacokinetics
 
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciencesTherapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
Therapeutic drug monitoring LECTURE 2.pptx pharmaceutical sciences
 
Non linear pharmacokinetics.
Non linear pharmacokinetics.Non linear pharmacokinetics.
Non linear pharmacokinetics.
 
Nomograms and tabulations in design of dosage regimens
Nomograms and tabulations in design of dosage regimens Nomograms and tabulations in design of dosage regimens
Nomograms and tabulations in design of dosage regimens
 
METHOD OF RESIDUALS
METHOD OF RESIDUALSMETHOD OF RESIDUALS
METHOD OF RESIDUALS
 
Week 4- the two open compartment
Week 4- the two open compartmentWeek 4- the two open compartment
Week 4- the two open compartment
 
Pharmacokinetic study of epileptic patients
Pharmacokinetic study of epileptic patientsPharmacokinetic study of epileptic patients
Pharmacokinetic study of epileptic patients
 
Calculate and Interpret Pharmacokinetic Parameters of a Given Drug
Calculate and Interpret Pharmacokinetic Parameters of a Given DrugCalculate and Interpret Pharmacokinetic Parameters of a Given Drug
Calculate and Interpret Pharmacokinetic Parameters of a Given Drug
 
A seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administrationA seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administration
 
kinetics (Lec 1).pptx
kinetics (Lec 1).pptxkinetics (Lec 1).pptx
kinetics (Lec 1).pptx
 
Pharmacokinetic Models
Pharmacokinetic ModelsPharmacokinetic Models
Pharmacokinetic Models
 
Math fundamentals
Math fundamentalsMath fundamentals
Math fundamentals
 
clinical pharmacokinetics slideahere final.pptx
clinical pharmacokinetics slideahere final.pptxclinical pharmacokinetics slideahere final.pptx
clinical pharmacokinetics slideahere final.pptx
 
Pharacokinetics power point for pharmacy
Pharacokinetics power point  for pharmacyPharacokinetics power point  for pharmacy
Pharacokinetics power point for pharmacy
 

Recently uploaded

The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
Steve Thomason
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
Col Mukteshwar Prasad
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
EverAndrsGuerraGuerr
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
MIRIAMSALINAS13
 
How to Split Bills in the Odoo 17 POS Module
How to Split Bills in the Odoo 17 POS ModuleHow to Split Bills in the Odoo 17 POS Module
How to Split Bills in the Odoo 17 POS Module
Celine George
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
Pavel ( NSTU)
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
How to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERPHow to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERP
Celine George
 
The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free downloadThe French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
Vivekanand Anglo Vedic Academy
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
Vivekanand Anglo Vedic Academy
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
beazzy04
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
Excellence Foundation for South Sudan
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
bennyroshan06
 

Recently uploaded (20)

The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 
How to Split Bills in the Odoo 17 POS Module
How to Split Bills in the Odoo 17 POS ModuleHow to Split Bills in the Odoo 17 POS Module
How to Split Bills in the Odoo 17 POS Module
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
How to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERPHow to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERP
 
The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free downloadThe French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
 

Nonlinear pharmacokinetic

  • 1. #
  • 2. # Mohi-ud-din islaMic instituteMohi-ud-din islaMic institute ofof PharMaceutical sciences.PharMaceutical sciences.
  • 3. # -:PRESENTED BY:- Muslim Khan Class: 4th Year Pharm-D Roll No# 19
  • 4. # CONTENTS Introduction  Nonlinearity Pharmacokinetic Causes of nonlinearity Michaelis – Menten equation Estimation of Km and Vmax Estimation of Km and Vmax at steady-state concentration
  • 5. # » Dose independent paharmacokinetic Pharmacokinetic paraméters dont change with increse or decrease in dose » In such situation the rate processes are follw first order or linear kinetics and all semilog plots of C Vs t for different doses are superimposable. LINEAR PHARMACOKINETICS
  • 6. # NONLINEAR PHARMACOKINETICS » Dose dependent paharmacokinetic Pharmacokinetic paraméters change with increse or decrease in dose Pharmacokinetic paraméters(ADME ) are depend upon carrier or enzymes that are substrate specific, have definite capacities and are susceptible to saturation at a high drug concentration. » In such cases, first-order kinetics transform into a mixture of first-order and zero-order rate processes »
  • 7. # Linear Pharmacokinetics Non Linear Pharmacokinetics Pharmacokinetic parameters for a drug would not change with change in dose Pharmacokinetic parameters for a drug can change with change in dose. Dose Independent Dose dependent First Order kinetics Also called as Mixed order, Saturated kinetics, capacity limited All semilog plots of C vs t for diff. doses are superimposable. Not superimposable
  • 8. # CAUSES OF NON-LINEARITY • Three causes:- • I) Solubility / dissolution of drug is rate-limited; Griseofulvin - at high concentration in intestine. II) Carrier - mediated transport system; Ascorbic acid - saturation of transport system. III) Presystemic gut wall / hepatic metabolism attains saturation; Propranolol. Drug absorption
  • 9. # At high doses non-linearity due to • Two causes:- • I) Binding sites on plasma proteins get saturated; Phenylbutazone. • II) Tissue binding sites get saturated. • In both cases there is increase in plasma drug concentration. . Drug distribution
  • 10. # • Non-linearity occurs due to capacity limited metabolism, small changes in dose administration - large variations in plasma concentration at steady state. • Two imp causes:- • I) Capacity - limited metabolism - enzyme &/ cofactor saturation; Phenytoin, Alcohol. • II) Enzyme induction - decrease in plasma concentration; Carbamazepine. Drug metabolism
  • 11. # Drug excretion • Two active processes which are saturable, I) Active tubular secretion - Penicillin G II) Active tubular reabsorption - Water soluble vitamins & Glucose. • Saturation of carrier systems - decrease in renal clearance & increase in Half life. • Other reasons like forced diuresis, change in urine pH, nephrotoxicity & saturation of binding sites. • In case of biliary excretion non - linearity due to saturation - Tetracycline & Indomethacin.
  • 12. # Drugs that demonstrate saturation kinetics usually show the following characteristics: 1. Elimination of drug does not follow simple first-order kinetics— that is, elimination kinetics are nonlinear. 2. The elimination half-life changes as dose is increased. Usually, the elimination half-life increases with increased dose due to saturation of an enzyme system.
  • 13. # 3. The area under the curve (AUC) is not proportional to the amount of bioavailable drug. 4. The saturation of capacity-limited processes may be affected by other drugs that require the same enzyme or carrier-mediated system (ie,competition effects).
  • 14. # Saturable Enzymatic Elimination Processes • Michaelis–Menten kinetics: dCp/dt = rate of decline of drug concentration with time. Vmax = theoretical maximum rate of the process. Km = Michaelis constant.
  • 15. # C p >> K m C p = K m C p << K m • saturation of the enzymes occurs. •The value for K M is negligible. •The rate of elimination proceeds at a constant rate •Rate of process is = one half of its max. rate • -dc/dt = Vmax/2 •rate of drug elimination becomes a first-order process
  • 16. # Drug Elimination by CapacityLimitedPharmacokinetics: One-Compartment Model, IV Bolus Injection: • If a single IV bolus injection of drug (D 0 ) is given at t = 0, the drug concentration (C p ) in the plasma at any time t may be calculated by an integrating equation,
  • 17. # • Amount of drug in the body after IV Bolus , • Where, D 0 is the amount of drug in the body at t = 0. • To calculate time for dose in the boy • Rearranging equation:
  • 18. # Determination of K M and V max
  • 19. # ESTIMATION OF Vmax & Km In enzymatic kinetic work, the classic Michaelis-Menten equation: Vmax . C ………..(1) KM + C where, V= reaction rate, C= substrate conc. both are used to determine Vmax & Km. The velocity of the reaction(V) at various concentration levels of drug(C) are determined either by in-vitro experiments or in-vivo experiments at constant enzyme levels. V =
  • 20. # Method 1 By inverting equation (1), we get : 1 Km . 1 1 ……..(2) V Vmax . C Vmax When 1/V is plotted against 1/C, a straight line is obtained with a slope of Km/Vmax and an Intercept of 1/Vmax. = +
  • 21. # Figure 2 Plot of 1/V vs 1/C for determining Km & Vmax -1/ Km Km/Vmax 1/ Vmax
  • 22. # Multiplying eq. 2 by C, we get : C Km C = + ………..... (3) V Vmax Vmax A plot of C /V vs C gives a straight line with 1 / Vmax as the slope and Km / Vmax as the intercept (shown in the fig. 3). Method 2
  • 23. # Figure 3. Plot of C/V vs C for determining Km & Vmax ax ax
  • 24. # The equation can also be written as : V = - Km V + Vmax …………(4) C A plot of V vs V / C gives a straight line with a slope of –Km & an Intercept of Vmax. (shown in the fig. 4) Method 3
  • 25. # Figure 4 Plot of V vs V / C for determining Km & Vmax
  • 26. # CALCULATION OF KM & VMAX STEADY- STATE CONCENTRATION • If drug is administered for constant rate IV infusion/ in a multiple dosage regimen, the steady-state conc. is given in terms of dosing rate (DR): DR = Css • If the steady-state is reached, then the dosing rate = the rate of decline in plasma drug conc. & if the decline occurs due to a single capacity-limited process then eq. I become as: • From a plot of Css vs. DR, a typical curve having a shape of hocky-stick is obtained which is shown in fig. 5. ……………….. (1) = Vmax Css KM+ Css DR ……………….. (2)
  • 27. # Css Km Vmax / 2 Vmax DR (in mg/hr or mg/day ) Curve for a drug following nonlinear kinetics By plotting the steady-state concentration against dosing rates Figure 5
  • 28. # METHODS USED TO DETERMINE THE KM & VMAX AT STEADY-STATE
  • 29. # • There are three methods which are used to define the KM & Vmax at steady-state with appreciable accuracy: 1) Lineweaver-Burk Plot:- the reciprocal of eq. (2) we get • If 1/DR is plotted against 1/Css a straight line is obtained having slope KM/Vmax & y-intercept 1/Vmax. 2) Direct linear plot:- • Plotting a pair of Css, i.e.Css1,&Css2 against corresponding dosing rates DR1 & DR2 we get following fig. 6 which gives values KM &Vmax 1 DR = KM Vmax Css 1 Vmax + ……………….. (3)
  • 30. # Css Css 1 Css 2 0 KM KM DR DR1 DR2 Vmax Direct linear plot for estimation of KM & Vmax at steady-state conc. Of a drug, when it is administered at different dosing rates Figure 6
  • 31. # 3) Graphical method:- • In this method by rearranging eq. (2) we get • In graph DR is plotted against DR/Css, a straight line is obtained with slope –KM & y - intercept Vmax. • KM & Vmax can be estimated by simultaneous eq. as DR DR Css KM = Vmax ……………….. (4) =DR1 =DR2 ……………….. (6) …………….…...(5) - Vmax Vmax - - KM KM DR1 DR2 Css1 Css2
  • 32. # • On solving above eq. 5 & 6 we get, • By substituting values of DR1, DR2, Css1 & Css2 we get value of KM & from KM we can found value of Vmax at steady-state concentration. • From experimental observations, it shows that KM is much less variable than Vmax. KM = DR2- DR1 Css 1 Css 2 DR1 DR2 - ……………….. (7) DR 3) Graphical method:-
  • 33. #