Hormesis: What it Means for Toxicology, the Environment and Public Health - PowerPoint PPT Presentation

About This Presentation
Title:

Hormesis: What it Means for Toxicology, the Environment and Public Health

Description:

Hormesis: What it Means for Toxicology, the Environment and Public Health Edward J. Calabrese, Ph.D Environmental Health Sciences School of Public Health – PowerPoint PPT presentation

Number of Views:196
Avg rating:3.0/5.0
Slides: 79
Provided by: Edward276
Category:

less

Transcript and Presenter's Notes

Title: Hormesis: What it Means for Toxicology, the Environment and Public Health


1
Hormesis 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

2
Overview
  • How I Became Involved with Hormesis
  • HormesisToxicological Foundations
  • Examples of Hormetic Responses
  • Comparison with Threshold Model
  • Hormesis and Risk Assessment

3
Hormesis
  • 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.

4
HORMESIS
  • 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.

5
A
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.

6
Hormesis 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

7
Hormesis and Assessment Criteria
  • Dose Response Patterns
  • Statistical Significance
  • Replication of Findings

8
Evidence 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

9
Dose Response Features
  • Stimulation Amplitude
  • Modest
  • 30-60 Greater Than Control
  • Usually Not More Than 100 Greater Than The
    Control

10
Stimulatory Range
  • 75 - Within 20-Fold of NOAEL
  • 20 - gt20lt1000-Fold of NOAEL
  • lt2 - gt 1000-Fold of NOAEL

11
Maximum 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
12
Hormetic 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)






41
Effect of DDT on Liver Foci Formation in Male
F344 Rats







42
Bladder Tumor Incidence Adjusted for Time in
ED01 Megamouse Study







43
Hormetic or Threshold
  • Which Dose Response Is More Common?

44
The Threshold Model
  • Prediction Random Bounce Below the Threshold as
    Practically Defined by the NOA(E)L or BMD

45
The 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

46
Hypothesis 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

47
Testing 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

48
100
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
49
100
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
50
Threshold 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

51
Why 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

52
Why is Hormesis Important?
  • It will change how toxicologists,
    pharmacologists, risk assessors, and physicians
    do their jobs
  • It will change the risk communication message

53
Hypothesis Testing
  • Expands Dose Response Spectrum
  • Creates New Categories of Questions

54
Study Design
  • Number of Doses/Concentrations
  • Spacing of Doses/Concentrations
  • Temporal Features
  • Key feature in recognizing the compensatory
    nature of the hormetic dose response

55
Implications of New Design Considerations
  • Additional Costs For
  • Extra Doses
  • Multiple Temporal Evaluations
  • Enhanced Need for Replication

56
Possible Adjustments
  • Less than lifetime studies/different endpoints
  • Less expensive models cell culture,
    invertebrates, fish, etc.
  • increases sample size for statistical power

57
Endpoint Selection
  • Background Incidence
  • Low Background Disease Incidence Precludes
    Ability to Detect Possible Hormetic Response

58
Biomathematical 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.

59
Environmental
  • Re-Defining Hazard Assessment
  • Re-Defining Dose Response Default
  • Re-Evaluation of Risk Assessment Practices
  • Harmonization Cancer and Non-Cancer
  • Cost-Benefit Re-Assessment

60
Therapeutics
  • Cognitive Dysfunction
  • Immune Stimulation
  • Anti-Tumor
  • Anti-Viral
  • Anti-Bacterial
  • Angiogenesis
  • Cytokine/Hospital Infections
  • Hair Growth
  • Molecular Designs

61
Life Style
  • Exercise
  • Alcohol Consumption
  • Stress

62
Perspective 1
  • The Threshold Dose Response Model fails to make
    accurate predictions in the below threshold zone

63
Perspective 2
  • The Threshold Dose Response Model has been
    significantly out-competed by the Hormetic Dose
    Response Model in multiple, independent
    comparisons

64
Perspective 3
  • There is little toxicological justification for
    the continued use of the threshold dose response
    to estimate below threshold responses

65
Perspective 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

66
Perspective 5
  • HORMESIS a concept with much supportive
    experimental evidence that is reproducible

67
Perspective 6
  • HORMESIS Based on Perspective 5 it should be
    considered as a real concept in the biological
    sciences

68
Perspective 7
  • HORMESIS is Generalizable
  • Across Biological Models
  • Across Endpoints Measured
  • Across Chemical Class/Physical Agents

69
Perspective 8
  • Based on Perspective 7, HORMESIS is
    evolutionarily based, with broad potential
    implications

70
Perspective 9
  • HORMESIS very common in toxicological/pharmacolo
    gical literature, making it a central concept

71
Perspective 10
  • HORMESIS a normal component of the traditional
    dose response, being graphically contiguous with
    the NO(A)EL

72
Perspective 11
  • HORMESIS readily definable quantitative
    features, that are broadly generalizable, making
    it reasonably predictable

73
Perspective 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

74
Perspective 13
  • The low dose hormetic stimulatory response is a
    manifestation of biological performance and
    estimates biological plasticity in the effected
    systems

75
Perspective 14
  • HORMESIS no single specific hormetic mechanism
    there appears to be a common biological strategy
    underlying such phenomena

76
Perspective 15
  • HORMESIS important implications for toxicology,
    risk assessment, risk communication, cost-benefit
    assessments, clinical medicine, drug development
    and numerous other areas

77
Perspective 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

78
Perspective 17
  • HORMESIS should become the object of formal
    evaluation by leading advisory bodies such as the
    National Academy of Sciences
Write a Comment
User Comments (0)
About PowerShow.com