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Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London [email protected] NICEATM, US EPA OPP & HESI Kinetically-Derived Maximum Dose (KMD) Workshop 30 September 2020

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Page 1: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Concepts of non-linear pharmacokinetics and KMD

Alan R BoobisImperial College London [email protected]

NICEATM, US EPA OPP & HESIKinetically-Derived Maximum Dose (KMD) Workshop

30 September 2020

Page 2: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Disclosure Statement• Member of several science advisory boards (public and private

sector) [non-remunerated] (e.g. ILSI, HESI, Owlstone Medical, Cosmetics Europe LRSS, Swiss Centre for Applied Human Toxicology, MSU Center for Research on Ingredient Safety, A*STAR Food and Chemical Safety Programme Singapore)

• Member/chair of several national and international scientific advisory committees (UK COT, UK COMEAP, JMPR, JECFA, TobReg, ISO TC126 WG10 Intense Smoking Regime)

• I have no financial interests in the subject matter of the session

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Page 3: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Risk characterization

Uncertaintyfactor

Hazard IDHazard characterisation POD

MOE = POD/Exposure

HBGV (e.g. ADI) HBGV = POD/UF

Exposure assessment

Risk characterisation(Exposure cf HBGV)

0 0.1 1 10 100

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Page 4: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Bioavailability

Griseofulvin

Yu, 1999

Solubility Permeation & pre-systemic metabolism

External dose Bioaccessible dose Bioavailable dose

500

5

50

0.5

0.05

0 5 10 15 20Time (h)

Control

+ Furafylline

Plas

ma

phen

acet

in (n

g/m

l)

CLi = 178 ± 118 l/min

CLi = 0.82 ± 0.83 l/min

Frel = 0.5 ± 0.3%

4

Page 5: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Dose-dependency of systemic exposure

Fractional absorption independent of dose

Species Durat.Dose

(mg/kg)

Plasma concentration (µg/ml)

AUC(0-24) (µg·h/ml)

Male Female Male Female

Rat 2 Week

Gavage500

12502500Diet

50012502500

13.527.647.4

11.525.950.7

9.9225.240.7

10.719.032.4

120332626

199491921

102334602

181336606

Fractional absorption dependent on dose

5

Page 6: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Absorption, distribution, metabolism, excretion (ADME) determine exposure

Absorption Distribution Metabolism Excretion

6

Page 7: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Human drug transporters

Giacomini & Huang (2013)

Tmax

Km

7

Page 8: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Xenobiotic biotransformation

Yeung et al, 2013

• Specificity

• Maximum rate (Vmax)

• Affinity (Km)

UGTsGSTs

CYPs

SULTs

Hepatocytes

8

Page 9: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Kinetics of metabolism

𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑜𝑜𝑜𝑜 𝑚𝑚𝑅𝑅𝑅𝑅𝑅𝑅𝑚𝑚𝑜𝑜𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚 =𝑉𝑉𝑚𝑚𝑚𝑚𝑚𝑚 × 𝐶𝐶𝐾𝐾𝑚𝑚 + 𝐶𝐶

When C << Km

𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑜𝑜𝑜𝑜 𝑚𝑚𝑅𝑅𝑅𝑅𝑅𝑅𝑚𝑚𝑜𝑜𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚 ≈𝑉𝑉𝑚𝑚𝑚𝑚𝑚𝑚 × 𝐶𝐶

𝐾𝐾𝑚𝑚𝑚𝑚. 𝑅𝑅. 𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑜𝑜𝑜𝑜 𝑚𝑚𝑅𝑅𝑅𝑅𝑅𝑅𝑚𝑚𝑜𝑜𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚 ∝ 𝐶𝐶

When C > Km

𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑜𝑜𝑜𝑜 𝑚𝑚𝑅𝑅𝑅𝑅𝑅𝑅𝑚𝑚𝑜𝑜𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚 ≈𝑉𝑉𝑚𝑚𝑚𝑚𝑚𝑚 × 𝐶𝐶

𝐶𝐶𝑚𝑚. 𝑅𝑅. 𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑜𝑜𝑜𝑜 𝑚𝑚𝑅𝑅𝑅𝑅𝑅𝑅𝑚𝑚𝑜𝑜𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚 → 𝑉𝑉𝑚𝑚𝑚𝑚𝑚𝑚

From Winter & Tozer, 1986 9

Page 10: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Normal vs. saturating kinetics

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Page 11: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Effects of furafylline on caffeine kinetics

Furafylline(90 mg p.o.)

[Fur

afyl

line]

(mg/

l)

0

1

2

0 2 4 8

4

8

12

Time (days)

[Caf

fein

e] (m

g/l)

11

Page 12: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Point of departure

NOAEL

LOAEL

Uncertaintyfactor

Hazard IDHazard characterisation POD

MOE = POD/Exposure

HBGV (e.g. ADI) HBGV = POD/UF

Exposure assessment

Risk characterisation(Exposure cf HBGV)

0 0.1 1 10 100

12

Page 13: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Major and minor routes of elimination

Cl = ClR + Clm1 + Clm2 + Clm3 + Clother

Parent

Metabolite 1Metabolite 2

Metabolite 3Other

Renal

Metabolite 1 conj

Plas

ma

conc

(ng/

ml)

4′-OH-PROPRANOLOL

Propranolol and metoprolol are both cleared > 90% by CYP-dependent oxidation

Time (h)

Urinary metoprolol and metabolites (% dose)

EMPM

Data from Tucker, Lennard, Wood et al 13

Page 14: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Acetaminophen hepatotoxicity

14

HNCOCH3

OHP450

NCOCH3

O

Protein arylation TOXICITYGSH

GSH conjugate Excretion

Acetaminophen

NABQI

GSSG

2GSH

GSH-reductase

Oxidation ofcellular constituents

Loss of cellularfunctions

GSH depletion

Oxidative damage

UGT, SULT Sulphate andglucuronide conjugates

Excretion

TOXICITY

Page 15: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

GSH depletion and acetaminophen toxicity

Dose of acetaminophen

100

50

00 250 500 750 1000

GSH

(% c

ontro

l)

Mic

e w

ith li

ver

necr

osis

(%)

100

50

0

Data of Gillette, Mitchell, et al

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Page 16: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Quantitative Adverse Outcome Pathway (AOP)

Exposure

KE2 Adverse outcomeKE1 KE3ADME/TK

Adverse Outcome Pathway

Dose-MIE (KE1)

KE1-KE2 KE2-KE3 KE3-AO

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Page 17: Concepts of non-linear pharmacokinetics and KMD · 2021. 2. 8. · Concepts of non-linear pharmacokinetics and KMD Alan R Boobis Imperial College London . a.boobis@imperial.ac.uk

Conclusions• The maximum dose used in toxicity testing is often many orders of

magnitude greater than worst-case human exposure

• Limited solubility and/or saturation of processes of absorption, distribution, metabolism and excretion can lead to marked non-linearity between dose and plasma/active-site concentration

• This confounds interpretation of dose-effect relationships and extrapolation to human relevant exposures; hence, substantial over- or under-estimation of risk to exposed populations is possible

• Kinetic considerations are therefore essential in both study design and data interpretation

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