Scientific Issues
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There is much scientific evidence documenting the failure of animal-based
endocrine studies to accurately predict human reactions to chemicals. Such
errors are not surprising, given the many differences that exist between
species in terms of their physiology, biochemistry, and metabolism. These
variables make the cross-species extrapolation of test results an extremely
uncertain exercise. The following examples illustrate some of the key shortcomings
of animal-based screens and tests for endocrine disruption:
The following examples illustrate some of the key shortcomings to animal-based
screens and tests for endocrine disruption:
• Most of the animal tests under development involve a single,
high-dose exposure to a single test chemical. This fails to mimic the
human experience of repeated, low-dose exposure to many chemicals over
a lifetime. Certain tests may also involve animals being exposed via
injections under the skin or into the abdominal cavity, neither of which
is remotely relevant to the ways in which humans are exposed to environmental
chemicals in the “real world.”
• Recently published reports indicate that even different strains
of the same animal species can exhibit drastically different hormonal
reactions to chemicals. For example, one study found that rats of the
Fischer 344 strain were up to 10,000-times more sensitive to the effects
of the chemical bisphenol A than the closely related Sprague-Dawley
strain. Many more examples can be found in an EPA
White Paper on Species/Strain Differences in Endocrine Assays.
• Even minor changes in experimental conditions, such as lighting,
noise, individual or group housing, and the relative position of animals
in the womb before birth, have been shown to significantly alter test
results.
• Mathematical “uncertainty factors” have to be used
in an attempt to compensate for the differences between rodents and
humans in lifespan, body weight, body volume, and/or metabolic rate.
However, these uncertainty factors are of unproven validity in extrapolating
animal test results to humans.
• Because so little is known about the actual human health effects
that may follow from so-called “endocrine disrupting” actions
in the body, it will be difficult to interpret the significance of results
from animal studies. For example, the uterotrophic
assay might detect an estrogen-mediated effect in vivo, but the
conclusions that can be drawn regarding a chemical with this property
are dependent on the relationship between estrogen activity and health,
which is poorly understood.
• For most associations between hormonally active agents and various
biological outcomes, the specific mechanism of action is not well understood,
which makes it difficult if not impossible to correctly interpret the
results of animal-based assays. For example, the drug tamoxifen is an
extremely potent anti-estrogen in human breast tissue, making it the
breast cancer therapy of choice. However, tamoxifen functions as an
estrogen in endometrial tissue and is classified as a human carcinogen.
Therefore, two opposite endocrine-related health effects can be caused
by the same chemical. In fact, the estrogenic/anti-estrogenic activity
of this chemical produces conflicting results in rats and mice.
What Scientists Have Said …
Dr. Iain Purchase, professor, School of Biological Sciences, University
of Manchester:
“The current [endocrine-disruptor testing] proposals are the most
extravagant in the use of animals. Between 600,000 and 1.2 million animals
would be required for each 1,000 chemicals tested. The EDSTAC proposals
are difficult to justify from an ethical perspective, as equally effective
detection rates may be achieved with fewer animals.”
Final report of the U.S. EPA’s Scientific Advisory Panel/Science
Advisory Board joint subcommittee on endocrine disruptors:
“We are concerned about the large number of animals that would be
needed by the EDSTAC program. The agency has an obligation to conserve
all resources in developing new testing protocols, and the use of animals
in such tests poses both ethical and practical problems. The subcommittee
recommends ... minimizing the number of animals needed for testing.”
Dr. Ernest McConnell, chair of the U.S. EPA’s Scientific Advisory
Panel/Science Advisory Board joint subcommittee on endocrine disruptors:
“There was an undercurrent through the whole discussion that the
EPA program was ahead of the science. ... This may not be the best use
of our nation’s resources.”
Dr. John Giesy, professor of environmental toxicology and member of
the U.S. National Academy of Sciences:
“Legislating endocrine testing at this time is unbelievably stupid
and a waste of resources that will lead not only to false positives in
screening, but, more importantly, to false negatives.”
Dr. Robert Combes, director of the Fund for the Replacement of Animals
in Medical Experiments (FRAME):
“There are fundamental concerns about the validity of modeling human
hormonal effects by using rodents. The endocrine system is extremely complex,
and there are many important species-specific differences between humans
and rodents.”
The U.S. National Research Council Report, "Hormonally Active
Agents in the Environment":
“There are important differences among species and between adult
and developing organisms in their responses to endocrine disruptors. These
differences could have important implications when assessing toxicity
studies or extrapolating data from one species to another.”
Dr. Genevieve Matanoski, former chair of the U.S. EPA’s Science
Advisory Board, on the difficulty of reproducing the results of endocrine-disruptor
animal tests in different laboratories:
“You can’t go across labs because each lab tends to be unique.
I find that a big problem.”
Dr. Michael Balls, former head of the European Centre for the Validation
of Alternative Methods (ECVAM):
“It has even been said that the validation phase of the new test
development and acceptance sequence should be applied flexibly in this
situation because of the pressure being applied by the U.S. Congress.
Validation is concerned with the reliability and relevance of methods
for particular purposes. How can there possibly be flexibility about whether
or not methods are reliable and relevant and about what they should be
used for? What would be the value of the data such tests would provide,
and with what confidence could they be applied in making decisions?”
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