Cavieres
et al. report that a commonly-used commercial herbicide
mixture of 2,4-D reduces the litter size of mice
exposed to low, environmentally-relevant doses. They found the largest
reductions in litter size at the lowest dosage level used,
which corresponded to EPA's "reference dose," the concentration
calculated on the basis of experiments to be sufficiently low to
avoid adverse health effects. This was one-seventh of the "maximum
contaminant level" allowed in drinking water by EPA standards.
Developed
using
traditional toxicological approaches, current EPA standards
clearly are inadequate to protect health and require revision.
Interviewed about the adequacy of current standards, the research
team's senior scientist Dr. Warren Porter (University of Wisconsin,
Madison), observed "Federal testing guidelines don't
cover real world ingredients, exposure levels, and timing."
What
did they do? Cavieres et al. put different amounts
of a commercial mixture of 2,4-D,
mecoprop
and dicamba,
plus inert ingredients, in the drinking water of pregnant mice.
Impregnated mice were all the same age.
They
exposed the mice on two different schedules, (1) the first day of
pregnancy (called GD0, or gestational day 0) through to GD15, or
(2) GD6 to GD15. The first schedule began the exposure prior to
implantation of the embryos and carried it through to the end of
organogenesis, the period during which major organs within the embryo
take form. The second schedule restricted exposure to organogenesis.
Four
exposure levels of the mixture were used and compared statistically
to the control group, which received water only. The levels were
created by diluting the mixture with varying amounts of water.
| |
|
2,4-D |
Mecoprop |
Dicamba |
|
| |
Dose |
mg/kg/day |
mg/kg/day |
mg/kg/day |
|
| |
Very
low |
0.01 |
|
0.004 |
|
0.0009 |
|
|
| |
Low |
0.1 |
|
0.040 |
|
0.009 |
|
|
| |
Intermediate |
20 |
|
8.07 |
|
1.83 |
|
|
| |
High |
100 |
|
40.39 |
|
9.166 |
|
|
After
birth, they checked each litter for size, weight of pups, and size
of pups. After weaning the mothers were sacrificed and examined
by dissection to allow determination of the number of embryo implantation
sites. A standard number of pups were left with the mother through
weaning and then examined at the age of six weeks for immunological,
endocrinological and behavioral attributes. (These observations
will be reported in a subsequent paper.)
Because
these experiments took place over a period of two years, Cavieres
et al. used statistical methods to examine seasonal variation
in responsivity to the herbicide mixture.
What
did they find? The most important finding is that very
low levels of the herbicide mixture caused a large reduction in
litter size, indeed larger than the effect of higher doses.
This
figure is from Cavieres et al. Graph A (upper left) shows
the average litter size of different treatment groups compared to
the controls. The asterisk indicates statistical significance compared
to controls (p < 0.05). The lowest dose caused the largest effect,
in a classic non-monotonic
dose-response relationship.
Graphs
B through F show the distribution of litter sizes for each treatment
group, including controls (B). Note that all treatment groups had
at least some litter sizes smaller than smallest ever seen in the
controls.
Cavieres
et al. also found that the details of the herbicide's
effect varied from season to season. While overall, doses
caused a decrease in litter size of approximately 20%, in some seasons
the largest effect occurred in the high dose groups while in other
seasons it occurred in the very low and intermediate dose groups.
Cavieres
et al. took a closer, histological look at a subset of
the females to determine the numbers of embryonic implantations
that had taken place following fertilization. They then compared
this with the litter sizes of those same females to calculate the
numbers of fetal resorptions that occurred. Comparing controls with
treatment groups, litter size and the number of implantation sites
did differ significantly in this subset, but resorption rate did
not. Thus it appears that the mechanism by which litter size reduction
takes place occurs prior to and during implantation, not via fetal
resorption.
What
does it mean? These results are profoundly challenging
to conventional regulatory toxicology.
Traditional
toxicological testing of the three herbicides in this commercially
available herbicide mixture had characterized them as safe
at the lowest levels used in these experiments. Those standards
were based upon experiments carried out with pure forms of the herbicides
one-by-one. Here, Cavieres et al. have carried out experiments
that come much closer to the real world situation in which people
and animals will encounter these herbicides. They find significant
adverse effects at the lowest levels they tested. Clearly,
something is wrong with the conventional approach.
Given
the way Cavieres et al. conducted their research, it is
impossible to determine the precise mechanism or even the agent
of toxicity. Was it the 2,4-D in combination with the other herbicide
compounds, or perhaps with one of the "inert ingredients"
present in the commercial herbicide mixture? Or was dicamba the
principal agent? They can't say. Nonetheless, somehow the mixtures
they used caused effects at levels previously deemed safe for individual
components.
To
get at the precise contributions of different components will take
considerable effort and resources, and to do this for all possible
combinations of herbicides and inert ingredients in commercial use
would be physically and financially impossible.
Yet
conventional regulatory toxicology begins with individual components,
because of the precision with which experiments can be conducted,
and never gets to real world
mixtures. If Cavieres et al.'s results are
at all indicative of what happens with other mixtures, then current
regulatory standards are unlikely to be sufficiently protective
of public health. Indeed, previous epidemiological
research on related herbicides indicate adverse effects in areas
of high use.
The
results presented by Cavieres et al. argue strongly that
testing of pesticides for regulation should focus on the mixtures
of compounds that people and animals encounter in the real world.
The conventional approach sacrifices accuracy for reductionist precision.
An more constructive regulatory approach would be to prioritize
testing based on two considerations: focus first on the commonest
commercial mixtures and on mixtures detected through direct measurements
of body burden.
These
results also offer yet another example of non-monotonic
dose response curves, violating the simplistic interpretation
of that oft-heard basic tenet of toxicology, that the dose makes
the poison. Yes, the herbicide's effect did vary with dose. But
the usual way this assumption is used is to imply that high doses
have greater effects than low doses. In this case, that
is clearly not true.
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