Title: Dr. Antone Brooks
1 Linear-No-Threshold Hypothesis- Scientific
Evidence?
- Dr. Antone Brooks
- Washington State University Tri-cities
- Richland, Washington
2My Background
- Early interest in radiation
(Watching atomic weapons in southern Utah) - MS in radiation ecology (Chasing fallout)
- PhD in radiation biology in genetics
(Trying to discover what radiation is actually
doing inside people) - Investment of my life in research on health
effects of low doses of radiation
3DOE Low-Dose Radiation Research Program
- A 10 year program at 21 million/year
- International in scope
- To fund the best scientist (currently 46
projects/year) - To understand biological mechanisms
- To develop radiation standards based on risk
- http//lowdose.org
4Why now?
- Standards have been set from high dose effects,
but low dose effects have not been measurable
until now - New technological developments and biological
discoveries have made it possible to study low
dose effects
5Problems Associated with Estimating Health Risks
- Background radiation (dose)
- Background cancer (response)
6Normal annual exposure from man-made radiation
- 70 mrem/yr
- Medical procedures
53 mrems - Consumer products
10 mrems - One coast to coast airplane flight
2 mrems - Watching color TV
1 mrem - Sleeping with another person
1 mrem - Weapons test fallout
less that 1 mrem - Nuclear industry
less than 1 mrem
7Exposure at Different Elevations
1 mrem/year 200 feet of altitude 4 mrem/year
800 feet 500 mrem/year some isolated
populations
8Background Cancer
- Over 30 of us will develop cancer
- About 25 will die of cancer
- Cancer is variable as a function of
- Genetic Background
- Environmental Exposures
- Diet
- Lifestyle
9(No Transcript)
10Key Research Areas
- Technological Advances
- Biological Advances
11Major Paradigm Shifts
- Hit Theory vs. Bystander Effects
- Mutation vs. gene induction
- Genomic instability vs. multiple steps in
carcinogenesis
12How Does Radiation Interact with Cells?
- Past
- Hit theory
- Direct ionization
- Free radical formation
- Present
- Bystander effects
- Cell-cell communication
- Cell-matrix communication
13Schematic of the Gray Laboratory Microfocus X-ray
source
14Microbeam
Alpha Hits for Cell Transformation
Each cell hit by one particle
Average of one particle/cell
Miller et al.1999
15Bystander Effects
Normal
3 cGy
10 cGy
16Biological Changes Detected in Non-hit Cells
- Gene induction
- Mutations
- Chromosome aberrations
- Apoptosis and cell killing
- Cell transformation
17 Adaptive Response Radiation-induced Chromatid
Aberrations
Aberrations
Dose cGy
Shadley and Wolff 1987
187K Microarray Results for Stress Chip Clone
Selection
Fornace
19Gene Mutation and Expression in Cancer
Tissue Theory
Mutation Theory
Tissues suppress cancer.
Single cell origin of cancer
Normal
Gene Activation
Normal
Initiation
Down Regulation
Promotion
Progression
Progression
Gene Mutation- a rare event
Gene Expression- a common event
20LNTH Assumption with Dose
Low dose x large number of subjects
High dose x small number of subjects
Energy to system
21Absorbed Dose-Imparted Energy
Biological Response Barrier
Number Responding
Background Energy Level
Imparted Energy (J) in System
22Low-Dose Research Program Goals
- Understand mechanisms of biological response to
low-dose radiation on a cellular and molecular
level - Evaluate appropriate and adequate risk from low
doses and dose-rates of radiation
23Adequate Protection
- Control Contamination
- Minimize Exposure
- Reduce Dose
- How low is low enough? Zero?
24Adequate Protection
25Adequate Protection
26Adequate Protection
27Adequate Protection
28Adequate Protection
Adequate and Appropriate?
29Questions and Problems Associated with
Dose-Response Relationships
- Ratios
- Energy/MassDose
- Damage/MassResponse
- What is the appropriate mass?
- Is there a free lunch?
- Is the biological response unique at low
radiation doses? - Is extrapolation possible?
30Do New Paradigms Impact Standards?
NON-LINEAR
Gene Expression vs. Mutation
Multiple Independent Events vs. Genomic
Instability
Tissue vs. Cell
LINEAR
31Summary
- Radiation risks from low levels of radiation
exposure cannot be predicted with epidemiological
studies. - Combining advances in technology with those in
cell and molecular biology make it possible to
detect biological changes after low levels of
radiation exposure. - These low level changes have required changes in
basic radiation paradigms. - Understanding the role of these biological
changes in cancer risk may or may not impact
radiation protection standards, but will help
ensure that the standards are both adequate and
appropriate.