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PR1153
PKPD
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Khoo Teng Yon
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Modes
of drug transport across a membrane
1. Drug in blood/plasma
2. Passive transcellular diffusion
3. Passive diffusion
4. Paracellular saturable, limited
5. Passive facilitated transcellular diffusion
6. Active transport
7. Equilibrating carrier-mediated
8. Concentrating transporters
9. Directional-influx
10. Efflux
11. ATP-dependent
,
against
concentration gradient
Protein
binding
Unbound
= fu, Bound =
1-fu
Transporters affect the number of proteins
unbound
Efflux transporters
like MDR1/PGP mediate drug transport
Factors affecting drug movement across membrane
Physicochemical properties
of drug
Membrane characteristics
Exposure-time profiles
Physicochemical
properties
Size, permeability,
charge
, solubility,
polarity
, lipophilicity, acidic/basic, molecular weight
Membrane characteristics
Porosity
, fenestrated, sinusoid,
thickness
Exposure-time profiles
Plasma drug concentration
vs
time
Plasma
is cleaner than
blood
for PK analysis
Physicochemical
properties may not be the only factors affecting drug
movement
across membranes
Blood
-brain barrier
Very
tight
junctions, many
efflux transporters
(MDR1/PGP)
Oral
systemic bioavailability, F
F =
FF
x Fg x
FH
PK models
1.
Compartment
models
2. Group of tissues with similar
blood flow
&
drug affinity
Apparent volume of distribution,
V
Drug binds to
body water
but also plasma/tissue/fat/bone,
lower
than expected [drug] means larger than expected V
First
-order kinetics (IV bolus)
Body burden decreases, elimination rate decreases, most drugs have
first-order elimination
Elimination
rate constant, k
Units: time^-1,
Higher
concentration means
higher
gradient and higher elimination rate
ADME
Absorption
, Distribution,
Metabolism
, Excretion
Clearance, CL
Volume of blood/plasma cleared of drug per unit time, CL = Rate of
Elimination
/
Concentration
Extraction
ratio, E
Fraction of
drug
removed from blood/plasma as it crosses the
eliminating
organ
Hepatic
clearance, CLH
CLH = CLint,m
+
CLint,b (metabolism + biliary elimination)
Renal
clearance, CLR
CLR = (1-FR) x [CLf + CLs] (
filtration
+
secretion
)
Renal
extraction ratio, ER
ER
=
GFR
x fu / QR
Free
drug fraction, fu
Only the free/unbound drug is active, distributed,
metabolised
,
excreted
, interacts with receptors/enzymes
Intestinal mucosa and liver have
CYP
enzymes that can
metabolise
drugs
Examples
of drugs
NSAIDs
coumarin
anticoagulants
anticonvulsants
If
CLRC GFRXfu, CLR > CLE
Can infer that active secretion takes place due to
high
affinity for plasma albumin and
low
affinity for tissue protein
Renal Extraction Ratio (
ER
)
Types of
plasma
proteins
Assumptions: normal rate of
glomerular filtration
(QR =
1.1
L/min)
Types
of plasma proteins
Albumin
α1-Acid Glycoprotein
(α1-AGP)
Lipoproteins
Transcortin
Albumin
Most
abundant
plasma protein
Drug
selectivity
Wide for drugs totally
unbound
in blood (Cu, b = 1)
Lipophilic
amines (basic) for α1-AGP
Lipophilic
drugs for lipoproteins
Corticosteroids
for Transcortin
Extraction ratio
(
E
) of drug by filtration alone is low (even lower if high free drug fraction, fu)
Free
drug fraction (fu)
Only the free/unbound drug is
active
at active site, distributed into
tissues
, metabolised, excreted, interact with receptors/enzymes
Drug disposition
1. Phase I reactions:
Oxidation
,
reduction
, hydrolysis
2. Phase II reactions: Conjugation with
polar endogenous
compounds to make it more
water soluble
(e.g. UDPG)
fu
and fut are independent of each other, cannot use fu and fut to predict whether
drug tissue concentration
between fu and fut
Routes
of drug elimination
Kidneys
(glomerular filtration, tubular secretion)
Biliary tract
in
liver
(High MW drugs, conjugate metabolites)
Lungs
for
volatile
agents (anaesthetics)
Some drugs have high
ER
due to
tubular
secretion
Pharmacokinetic
Parameters following IV bolus administration
1. C =
C0.e-kt
2. Inc =
-kt
+
Inc0
3. k = (
Inc1
- Inc2)/(t2 -
t1
)
4. t1/2 =
0.693
/
k
5. V =
Dose
/
C0
6. AUC0-∞ =
Dose
/
CL
Pharmacokinetic
Parameters
Primary PK Parameters: F,
CLH
,
Vp
Secondary PK Parameters:
t1/2
, k
Observations:
AUC
,
Cmax
Pharmacokinetic
parameters are affected by physiological variables such as
disease
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