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Dr Cliff Elcombe Biomedical Research Centre Ninewells Hospital

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Title: Dr Cliff Elcombe Biomedical Research Centre Ninewells Hospital


1
Dr Cliff ElcombeBiomedical Research
CentreNinewells Hospital Medical
SchoolUniversity of Dundee
  • Risk Perception, Risk Assessment and the Role of
    Mechanisms

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Father of Modern Toxicology PARACELSUS 1564
Dose THE KEY CONCEPT in Toxicology
  • All things are poisonous, only the dose makes it
    non-poisonous.
  • (Dose alone determines toxicity)

8
ALL Interactions between Chemicals and
Biological Systems follow a Dose-Response
Relationship
9
Dose-Response Relationship
  • The quantitative relationship between the
    concentration of a xenobiotic in the body and the
    magnitude of the biological effect it produces.
  • The magnitude of the effect of a xenobiotic is a
    function of the amount of xenobiotic a person is
    exposed to (i.e., The Dose Makes the Poison).

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Dose-Response RelationshipThe Dose Makes the
Poison
11
A Selection of Natural Carcinogens
anise apples bananas brocolli brussel
sprouts cabbage carrots cauliflower celery cinnamo
n cloves cocoa comfrey tea fennel grapefruit
juice
honey dew melon horseradish kale mushrooms mustard
orange juice parsely parsnips peaches black
pepper pineapples radishes raspberries tarragon tu
rnips
12
The science of Toxicology helps people make
informed decisions and balance RISKS vs.
BENEFITS
The study found the highest levels of
pesticide residues in peaches, apples, pears.
AND Spinach.
13
Hazard and Risk
  • Hazard
  • the potential for harm
  • Intrinsic property of the chemical
  • Risk
  • Risk is the chance (probability) that harm will
    actually occur
  • Hazard x exposure (dose and time)

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  • Dose Determines Whether a Chemical Will Be
    Beneficial or Poisonous

Beneficial Dose Toxic Dose Aspirin 300 1,000
mg 1,000 30,000 mg Vitamin A 5000
units/day 50,000 units/day Oxygen 20 (Air) 50
80 (Air)
15
Concentration Analogies
One Part Per Million (ppm) is
  • one automobile in bumper-to-bumper traffic from
    Cleveland to San Francisco
  • one minute in two years

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Concentration Analogies
One Part Per Billion (ppb) is
  • one 4 inch hamburger in a chain of hamburgers
    circling the earth at the equator two-and-a-half
    times (4x10 9 inches)
  • one second of time in 32 years

17
Which Results in the Largest Exposure?
  • 1000 ng/mL
  • 1 mg/mL
  • 1 ppm
  • 1000 ppb

18
Perceived Risk Ratings
19
Carcinogenic Risk of "Alar- Contaminated" Apple
Juice
15 pints of apple juice per day has a
carcinogenic risk equivalent to
1 mushroom (15g) per day
1/3 of a peanut butter sandwich
100g celery
100g cabbage
1/100 pint (6.5ml) of beer
1/2 teaspoon (2.5ml) of wine
9.6 litres

15 minutes in a swimming pool
20
The Stages of Risk Assessment
Hazard Identification
Risk Estimation
Risk Evaluation
Risk Management
21
Hazard Identification
  • Human Studies
  • epidemiology
  • retrospective
  • low statistical power
  • uncertain exposure estimates
  • volunteer studies
  • prospective
  • usually not ethical
  • Short Term Tests and Structure Activity
  • surrogate measurements and qualitative
  • Animal Studies
  • high to low dose extrapolation route of exposure

22
Animal Studies in Toxicological Evaluation
  • Acute Toxicity ("LD50")
  • rats/mice
  • Irritancy/corrosivity/sensitization
  • guinea pigs/rabbits
  • Mutagenicity, clastogenicity
  • in vivo and in vitro
  • Subacute/subchronic toxicity
  • rats/mice/dogs
  • Carcinogenicity
  • rats and mice
  • Reproductive toxicology
  • rats/mice/rabbits
  • teratology
  • foetal toxicity
  • multigeneration

23
Risk Estimation
Safety Factor Approach
Mathematical Models
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Risk Estimation - Safety Factor Approach
  • ADI NOEL / SF
  • ADI acceptable (allowable) daily intake
  • NOEL no observable effect level
  • SF safety factor

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Hypothetical Dose-response
35
30
25
20
Tumour Incidence ()
15
10
5
0
0
200
400
600
800
1,000
1,200
Dose (mg/kg)
26
Application of a 100-fold safety factor to
convert a NOAEL in animals into an ADI for humans
10 fold
10 fold
Human variability
Species differences
27
Risk Estimation- Mathematical Models
  • Virtually Safe Dose
  • Linear Extrapolation
  • One-hit Models
  • Multi-hit Models
  • Multistage Models
  • Weibull Model
  • Physiologically-based Pharmacokinetic Models

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Linearised Model
1,000,000
100,000
10,000
1,000
Risk per 1,000,000
100
10
1
1
100
1,000
10,000
100,000
10
Dose (ppm in diet)
VSD ("virtually safe dose")
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Metabolic Saturation!
30
Interspecies Comparisons
  • Scaling Factors
  • need to account for
  • absorbtion, distribution, metabolism and
    excretion
  • size
  • lifespan
  • Fraction of Diet Scaling
  • Body Weight Scaling
  • Surface Area Scaling
  • PB PK
  • Mechanisms of Toxicity

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The Exposure-Dose-Response Paradigm for
Carcinogens and Toxicants
oral inhalation dermal
Exposure
Blood concentration
Tissue dose of toxic moiety
metabolic activation/deactivation accumulation/exc
retion
Toxic moiety-target interaction
eg. transcriptional activation, cofactor
depletion, mutation, enzyme inhibition, etc.
acute, eg. cell death subacute, eg. organ
growth chronic, eg. cancer
Toxic response
32
Biologically-based Model Linking Mechanisms of
the Exposure-dose-response Continuum
Exposure
PB-PK
Mechanisms
Models
Tissue Dose
Toxicant-target
Interaction
Mechanisms
Models
Toxicant-tissue Interaction
Tissue-response
Mechanisms
Models
Toxic Response
33
PB-PK Models
  • Animal experiment to determine actual kinetics of
    uptake and elimination
  • Derive mathematical model using actual data and
    literature values
  • Use model to predict human kinetics using human
    in vitro data and literature data

34
Physiologically-based Pharmacokinetic Model for
Volatile Organic Chemicals
35
Risk Evaluation and Management
  • What level of risk is acceptable?
  • how safe is safe enough?
  • risk-benefit analysis
  • perception of relative risk
  • technical considerations
  • socioeconomics
  • politics

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Mechanisms in Hazard and Risk Assessment
37
Classification of Carcinogens
Carcinogen
Non-genotoxic
Genotoxic
Cytotoxic
Non-cytotoxic
Endocrine
Direct mitogen
disruptor
38
Liver Growth Carcinogens
  • Hyperplasia
  • Stimulate cell proliferation (acute and/or
    chronic)
  • Inhibit apoptosis
  • Hypertrophy
  • Organelle proliferation
  • SER
  • Peroxiosmes

39
Peroxisome Proliferators
  • Clofibrate
  • Ciprofibrate
  • Fenofibrate
  • Bezafibrate
  • Halofenate
  • WY-14,643
  • BR-931
  • Tiadenol
  • Gemfibrozil
  • Tibric acid
  • Clobuzarit
  • Aspirin
  • LY-171883
  • Methyclofenapate
  • Dehydroepiandrosterone acetate
  • Halothane
  • 2,4-D
  • 2,4,5,-T
  • MCPA
  • Dimethrin
  • Lactofen
  • Formesafen
  • Haloxyfop
  • Trichloroethylene
  • Perfluorinated fatty acids
  • 2-ethylhexanoic acid
  • Trimethylpentane
  • DEHA
  • DEHP
  • Phytol
  • Citral
  • Chlorinated paraffins
  • HCFC 225

40
Characteristics of the Peroxisome Proliferation
Phenomenon in Rodents
  • Hepatomegaly
  • Proliferation of peroxisomes and smooth
    endoplasmic reticulum
  • Induction of peroxisomal fatty acid oxidising
    enzymes
  • Induction of CYP 4A1
  • Stimulation of replicative DNA synthesis
  • Inhibition of apoptosis
  • Hepatocellular tumours in long term studies

41
Key Events in the Mode of Action for PPARa
Agonist-Induced Rodent Liver Tumours
PPARa Agonist
Activation of PPARa
Oxidative stress
Cell proliferation Decreased apoptosis
Preneoplastic foci
Clonal expansion
Liver tumours
42
Model of Peroxisome Proliferator Action
Peroxisome Proliferation, Growth Regulation and
Hepatocarcinogenesis
43
PPARa Knockout Mouse
  • No hepatomegaly
  • No peroxisome proliferation
  • No peroxiosomal enzyme induction
  • No CYP4A induction
  • No stimulation of DNA synthesis
  • No inhibition of apoptosis
  • No hepatocellular tumours

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Diethylhexyladipate Toxicology
  • Very low acute toxicity
  • Not irritant/corrosive/sensitizer
  • Non-mutagenic
  • No reproductive effects
  • Hepatocarcinogen in mice not rats
  • Potential Human Carcinogen?

46
Safety/Risk Assessment
Parallelogram Paradigm
Animal data
Animal in vitro
Human in vitro
Human Hazard
Exposure
Human risk
Animal in vivo
Human in vivo
Mechanism
?
Actual risk?
47
Metabolism of Diethylhexyladipate (DEHA)
HOOC(CH2)4COOH

HOOCCHCH2CH2CHCH3
HOOCCHCH2CH2CH2CH3
CH2CH3
CH2CH3
OH
HO0CCHCH2CH2CCH3
O
CH2CH3
48
Peroxisome Proliferation in Mouse Hepatocyte
Cultures - DEHA and Metabolites
3,000
EHA
2,500
2,000
EH
MEHA
1,500
Peroxisome Proliferation ( control)
1,000
OH-EHA
Keto-EHA
500
EHdiA
AA
0
0
1,200
200
400
600
800
1,000
Concentration (microMolar)
49
Species Differences in Response - EHA
3,000
Mouse
2,500
2,000
1,500
Peroxisome Proliferation ( control)
1,000
Rat
Human
500
Guinea pig
Marmoset
0
0
200
400
600
800
1,000
1,200
Concentration (microMolar)
50
Dose-response to Peroxisome Proliferators
Liver growth
Tumours
Response
1
3
2
Dose
Threshold for early events
Tumour threshold
51
Summary
  • Hazard and risk are not the same
  • Perception of risk does not necessarily relate to
    actual risk
  • Risk assessment is an imprecise procedure
  • Mathematical models must not be used to provide a
    spurious precision or to create an impression of
    scientific sophistication
  • Mechanisms of toxicity and biologically-based
    models should play a major role in risk assessment

52
Resources
  • A Journalist's Handbook on Environmental Risk
    Assessment
  • http//ruby.fgcu.edu/Courses/Twimberley/IDS3920/
  • main.html
  • http//www.agius.com/hew/resource/hazard.htm
  • http//www.sis.nlm.nih.gov/ToxTutor.html
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