The conspiracy theory behind environmental toxins
16 October 2002 15:30 EST
by Tabitha M. Powledge
Even
at miniscule levels, environmental toxins like mercury and
caffeine can be critical in altering the progression and prognosis
of a disease, experts said yesterday at meeting on the biology of
sex differences in environmental health. But at least one of the
methods researchers employ to identify these "co-conspirators"
proved unexpectedly controversial.
To determine the disease-promoting effects of toxins in the
environment, researchers must first identify variants of genes
that augment the toxins' effects, said Kent Hunter, a geneticist
at the US National Cancer Institute.
Hunter uses transgenic mice to examine what causes breast
cancer to metastasize. Employing hard-to-do quantitative trait
loci (QTL) methods, he and his colleagues have identified several
polymorphisms in the tumor-suppressor gene Atm as possible
suspects in the movement of mouse mammary tumors to the lungs.
But caffeine, an Atm inhibitor, may prevent that
movement, the researchers have found. "The interaction of what
might be subtle variants of genes with common environmental
exposures may have critical effects on cancer survival as well as
incidence," Hunter said. He was speaking at the meeting, held
yesterday at the National Institute of Environmental Health
Sciences in North Carolina.
Genetic variants that determine disease severity can often be
sex-specific. The female-male ratio ranges from 2:1 in multiple
sclerosis, for example, and up to 50:1 in other autoimmune
disorders. But those lopsided figures may reflect sex differences
in the severity of autoimmune diseases, rather than their actual
incidence, says Ellen Silbergeld, professor of environmental
health sciences at Johns Hopkins University.
Silbergeld
and her colleagues are investigating mercury as "a co-conspirator"
in autoimmune disorders, postulating that it interacts with
sex-linked genetic or endocrine factors and leads to worse
outcomes for women.
In mouse models of
lupus-like disease, the researchers found that mercury seems to
potentiate
the disorder, even at levels 50-100 times lower than those used in
mercury toxicity studies.
Silbergeld
reports similar findings in a mouse model of induced autoimmune
myocarditis.
"We have not determined the lowest level of interaction yet," she
said. "We're getting toward the amount present in a can of tuna."
Mercury by itself
cannot cause autoimmune disease in
nonsuceptible
animal models,
Silbergeld says,
adding that may also be true in humans. But in the presence of a
thus-far unidentified stimulatory event, mercury alters
interactions and can cause lethal autoimmune disease, she argues.
To get at those mechanisms, rather than applying conventional
epidemiology, researchers should study people with the disease and
assess their exposure to mercury, she suggests.
For screening potential toxins and investigating previously
unknown metabolic pathways, microarrays could replace the bioassay
as a major tool, reported Mary Jane Cunningham, a researcher at
the Massachusetts-based Molecular Mining Corporation. Automated
microarray screening methods for toxicology will be available in
much less than 20 years, she predicted.
Describing microarray studies of how liver toxins affect gene
expression in rat liver cells, Cunningham reported that
benzopyrene, one of the pollutants in tobacco smoke, either up- or
down-regulated 275 out of 7,400 genes on the arrays.
There were some differences between the sexes: Genes involved
in steroid metabolism were more often upregulated in female cells,
for example. But the big surprise was that a quarter of the
affected genes had never been annotated, so their functions were
unknown, Cunningham said.
But Cunningham's report was assailed because it rests on a
proprietary gene database at Incyte, her former employer. It is
"very disturbing" that this sort of information is being
accumulated in private databases, said Sherry Marts, scientific
program director at the Society for Women's Health Research, the
meeting's sponsor.
Marts argued that the data are unusable, and that the
technology cannot realize its potential without far more openess.
"We don't know anything about these animals," she pointed out. "We
have to take your word for it that this stained-glass toxicology
means anything."

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