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Scientific Issues

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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