Title: Hormesis: What it Means for Toxicology, the Environment and Public Health
1Hormesis What it Means for Toxicology, the
Environment and Public Health
- Edward J. Calabrese, Ph.D
- Environmental Health Sciences
- School of Public Health
- University of Massachusetts
2Overview
- How I Became Involved with Hormesis
- HormesisToxicological Foundations
- Examples of Hormetic Responses
- Comparison with Threshold Model
- Hormesis and Risk Assessment
3Hormesis
- Definition
- Dose response phenomenon characterized by a low
dose stimulation and a high dose inhibition. - Generally similar quantitative features with
respect to amplitude and range of the stimulatory
response. - May be directly induced or the result of
compensatory biological processes following an
initial disruption in homeostasis.
4HORMESIS
- Interpretation
- Issue of beneficial/harmful effects should not be
part of the definition of hormesis. - This assessment should be reserved for a
subsequent evaluation of the biological and
ecological context of the response.
5A
Response
B
Response
Dose
- The most common form of the hormetic
dose-response curve depicting low-dose - stimulatory and high-dose inhibitory responses,
the ?- or inverted U-shaped curve. - The hormetic dose-response curve depicting
low-dose reduction and high-dose - enhancement of adverse effects, the J- or
U-shaped curve.
6Hormesis and Evaluative Criteria
- Assessing the Dose-Response Continuum
- LOAEL-defining the toxic phase of the dose
response - NOAEL (or BMD)-defining the approximate threshold
- Below NOAEL (or BMD) doses-number and range
- Concurrent Control
7Hormesis and Assessment Criteria
- Dose Response Patterns
- Statistical Significance
- Replication of Findings
8Evidence of Hormesis
- General Summary
- Hormesis databases thousands of dose responses
indicative of hormesis - Hormesis is a very general phenomenon
independent of model, endpoint and agent - Frequency of hormesis far more frequent than
threshold model in fair head-to-head comparisons
9Dose Response Features
- Stimulation Amplitude
- Modest
- 30-60 Greater Than Control
- Usually Not More Than 100 Greater Than The
Control
10Stimulatory Range
- 75 - Within 20-Fold of NOAEL
- 20 - gt20lt1000-Fold of NOAEL
- lt2 - gt 1000-Fold of NOAEL
11Maximum response (averages 130-160 of control)
Distance to NOAEL (averages 5-fold)
NOAEL
Control
Hormetic Zone (averages 10- to 20-fold)
Increasing Dose
Dose-response curve depicting the quantitative
features of hormesis
12Hormetic Mechanisms
- Many studies have provided mechanistic
explanations to account for observed hormesis
responses - Each mechanism is unique to the model, tissue,
endpoint and agent - Some general examples Often existence of
opposing receptors
13 Methanol and Fruit Fly Longevity
14 Gamma Rays and Mouse Lung Adenomas
15 Transforming Growth Factor-Beta and Human Lung
Fibroblasts
16 Effects of Acute Ethanol on Overall Social
Activity of Adolescent Rats Tested on Postnatal
Day 30
17 Effect of X-rays on the Root Length of Carnation
Cuttings
18(No Transcript)
19 Effect on Growth of Salt Marsh Grass
20 Comparative Dose Response Relationships for the
Pain Threshold for Vocalization
21 Effect of Different Doses of Morphine on
PTZ-induced Seizure Threshold
22 Alcohol and Rat Serum Levels
23 MCPA
OAT SHOOT GROWTH
24 Effects of Metals on Phagocytosis in the Clam,
Mya arenaria, hemocytes
25(No Transcript)
26 Effect of Sodium Arsenate on PHA-treated Bovine
Lymphocytes
27(No Transcript)
28 Effect of Gamma Rays on the Life Span of Female
House Crickets
29 Effect of Acridine on the Number of Broods per
Daphnid
30 Effect of Mistletoe Lectin on Human Tumors in
Culture
31 Effects of Ten Estradiol A-ring Metabolites on
Endothelial Cells from Human Umbilical Veins
32 Effect of Plumbagin on Human Granulocyte
Phagocytosis
33 Effect of Tin (II) on MTT Conversion in C6 Glioma
Cells
34 Number of Open Arm Entries in the Elevated Plus
Maze in Male C57BL/6 Mice Treated with DHEA
35 The Effects of Allixin on the Survival of Primary
Cultured Hippocampal Neurons from Embryonic (E18)
Wistar Rats
36 The Effects of Methyl Mercury on Viability as
Measured by Mitochondrial Dehydrogenase Activity
in the D407 Cell Line
37 Effects of the Disinfectant Byproduct MX on the
Occurrence of DNA Damage in the Comet Assay Using
Rat Liver Epithelial Cell Line WB-F344
38 Effects of n-Hexane on DNA Damage in Human
Lymphocytes in the Comet Assay
39 Effects of As2O5 on Total Chromosomal Aberrations
in Human Leukocytes
40 Effects of X-rays on Chromosomal Aberrations
(i.e., Dicentrics) in Human Lymphocytes (pooled
results of four donors and six laboratories)
41Effect of DDT on Liver Foci Formation in Male
F344 Rats
42Bladder Tumor Incidence Adjusted for Time in
ED01 Megamouse Study
43Hormetic or Threshold
- Which Dose Response Is More Common?
44The Threshold Model
- Prediction Random Bounce Below the Threshold as
Practically Defined by the NOA(E)L or BMD
45The Hormesis Model
- Predicts that responses to doses in the below
toxic threshold zone should be non-randomly
distributed - The non-randomness should be reflected in the
frequency of responses above and below the
control value and in the magnitude of the
deviation from the control
46Hypothesis Evaluation
- Dose-Response Evaluation Criteria
- Entry Criteria
- Estimate a LO(A)EL
- Estimate a NO(A)EL or BMD
- One or more doses below NO(A)EL or BMD
47Testing Threshold Model Predictions
- Three Separate Database Evaluations
- Toxicological Literature - multiple
models/endpoints - reviewed 21,000 articles with
entry criteria to yield 800 dose responses - Yeast Cell Strains - 13 strains/2,200-57,000 dose
responses-cell proliferation - E. coli approximately 2,000 chemicals tested
over 11 concentrations - cell proliferation
48100
90
Threshold Model Predicted Mean
80
70
60
Mean
Cumulative Percent of Chemicals
50
Prediction Interval 95
40
30
20
10
0
10
30
40
50
60
70
-10
20
-20
Percent Difference From Control Growth
49100
BMD 10.0
90
BMD 7.5
80
70
BMD 5.0
BMD 2.5
60
Cumulative Percent of Chemicals
50
40
30
20
10
0
-20
-10
0
10
20
30
40
50
60
70
80
Percent Difference From Control Growth
50Threshold Model Inconsistencies
- Below threshold responses do not provide evidence
of random bounce - Non-random responses clearly predominate
- The non-random responses discredit the Threshold
Dose Response Model - Findings are consistent with the Hormetic Dose
Response Model
51Why Has Toxicology Missed Hormesis?
- Modest Response - could be normal variation
- Emphasis on High Doses - need to define the NOAEL
and LOAEL - Use of only few doses
52Why is Hormesis Important?
- It will change how toxicologists,
pharmacologists, risk assessors, and physicians
do their jobs - It will change the risk communication message
53Hypothesis Testing
- Expands Dose Response Spectrum
- Creates New Categories of Questions
54Study Design
- Number of Doses/Concentrations
- Spacing of Doses/Concentrations
- Temporal Features
- Key feature in recognizing the compensatory
nature of the hormetic dose response
55Implications of New Design Considerations
- Additional Costs For
- Extra Doses
- Multiple Temporal Evaluations
- Enhanced Need for Replication
56Possible Adjustments
- Less than lifetime studies/different endpoints
- Less expensive models cell culture,
invertebrates, fish, etc. - increases sample size for statistical power
57Endpoint Selection
- Background Incidence
- Low Background Disease Incidence Precludes
Ability to Detect Possible Hormetic Response
58Biomathematical Modeling
- Implications for Cancer Risk Assessment
- Models flexibility to fit observed data
- Models not constrained to always be linearly
decreasing at low doses - Low Dose Risk Characterization include
likelihood of below background risks - Uncertainty Characterization include both upper
and lower bounds.
59Environmental
- Re-Defining Hazard Assessment
- Re-Defining Dose Response Default
- Re-Evaluation of Risk Assessment Practices
- Harmonization Cancer and Non-Cancer
- Cost-Benefit Re-Assessment
60Therapeutics
- Cognitive Dysfunction
- Immune Stimulation
- Anti-Tumor
- Anti-Viral
- Anti-Bacterial
- Angiogenesis
- Cytokine/Hospital Infections
- Hair Growth
- Molecular Designs
61Life Style
- Exercise
-
- Alcohol Consumption
- Stress
62Perspective 1
- The Threshold Dose Response Model fails to make
accurate predictions in the below threshold zone
63Perspective 2
- The Threshold Dose Response Model has been
significantly out-competed by the Hormetic Dose
Response Model in multiple, independent
comparisons
64Perspective 3
- There is little toxicological justification for
the continued use of the threshold dose response
to estimate below threshold responses
65Perspective 4
- Given Perspectives 1-3, there is no basis to use
the threshold dose response model in risk
assessment practices. This has significant
implications for current standards based on the
threshold model and future risk assessment
practices
66Perspective 5
- HORMESIS a concept with much supportive
experimental evidence that is reproducible
67Perspective 6
- HORMESIS Based on Perspective 5 it should be
considered as a real concept in the biological
sciences
68Perspective 7
- HORMESIS is Generalizable
- Across Biological Models
- Across Endpoints Measured
- Across Chemical Class/Physical Agents
69Perspective 8
- Based on Perspective 7, HORMESIS is
evolutionarily based, with broad potential
implications
70Perspective 9
- HORMESIS very common in toxicological/pharmacolo
gical literature, making it a central concept
71Perspective 10
- HORMESIS a normal component of the traditional
dose response, being graphically contiguous with
the NO(A)EL
72Perspective 11
- HORMESIS readily definable quantitative
features, that are broadly generalizable, making
it reasonably predictable
73Perspective 12
- HORMESIS far more common than the threshold
dose response in fair, head-to-head comparisons
this would make the hormetic model the most
dominant in toxicology
74Perspective 13
- The low dose hormetic stimulatory response is a
manifestation of biological performance and
estimates biological plasticity in the effected
systems
75Perspective 14
- HORMESIS no single specific hormetic mechanism
there appears to be a common biological strategy
underlying such phenomena
76Perspective 15
- HORMESIS important implications for toxicology,
risk assessment, risk communication, cost-benefit
assessments, clinical medicine, drug development
and numerous other areas
77Perspective 16
- HORMESIS Should Become the Default Model in Risk
Assessment Why? - More Common By Far Than Other Models
- Can Be Validated or Discredited with Testing
- Generalizable by Biological Model, Endpoint and
Chemical Class
78Perspective 17
- HORMESIS should become the object of formal
evaluation by leading advisory bodies such as the
National Academy of Sciences