Europaudvalget 2008-09
EUU Alm.del Bilag 443
Offentligt
Expert workshop on combination effects of chemicals, 28-30
January 2009, Hornbæk, Denmark
Organized under the auspices of the Danish Ministry of the Environment and the Danish
Environmental Protection Agency
Workshop Report
Professor Andreas Kortenkamp
The School of Pharmacy, University of London
Centre for Toxicology
29-39 Brunswick Square
London WC1N 1AX
Dr Ulla Hass
National Food Institute
Danish Technical University
Mørkhoj Bygade
DK 2860 Søborg
June 2009
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
Summary
An expert workshop on effects of combined exposure to chemicals, with special
emphasis on chemicals with endocrine activity was held under the auspices of the Danish
Ministry of the Environment. The aim of the workshop was to examine existing scientific
knowledge on combination effects of endocrine disrupters, with a focus on regulatory
aspects. The workshop participants considered the state of the science of mixtures risk
assessment for endocrine disrupters, and discussed the feasibility of approaches to
cumulative risk assessment.
A consensus about a number of important issues could be formulated, and this included a
series of recommendations:
Cumulative risk assessment (CRA) for endocrine disrupters was seen as both necessary
and feasible. The predominant chemical-by-chemical approach in risk assessment was
regarded as insufficiently protective against the possibility of mixture effects/ effects of
combined exposure.
The application of dose (or concentration) addition as an assessment method was
recommended as a default, until evidence as to the suitability of alternative assessment
concepts emerges.
A pre-occupation with mechanisms or modes of action as the starting point for the
grouping of endocrine disrupters into classes to be subjected to mixtures risk assessment
was seen as not practical and scientifically hard to justify. Instead, grouping criteria
should focus on common health related effects and the likelihood of co-exposures.
The full potential of CRA for endocrine disrupters cannot be reached without filling a
number of data gaps, most importantly in the area of mixtures exposure assessment.
An enhancement of the legal framework in Europe with a view to mandating CRA should
be given serious consideration.
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
Abbreviations
ADI
AhR
BBP
CA
CERCLA
CMG
CRA
DA
DBP
DEHP
DEPA
ER
FQPA
GHS
HI
IA
MOE
NOEC
NOEL
NOAEL
NRC
PBDE
PCDD/F
PODI
REACH
RfD
TCDD
TDI
TEF
TEQ
UF
UVBC
Acceptable daily intake
Aryl hydrocarbon receptor
Benzyl butyl phthalate
Concentration addition
Comprehensive Environmental Response Compensation and Liability Act
Common mechanism group
Cumulative risk assessment
Dose addition
Dibutyl phthalate
Diethyl hexyl phthalate
Danish Environmental Protection Agency
Estrogen receptor
Food Quality Protection Act
Global Harmonisation System
Hazard index
Independent action
Margin of exposure
No observed effect concentration
No observed effect level
No observed adverse effect level
National Research Council
Polybrominated diphenyl ether
Polychlorinated dibenzo-p-dioxin/furan
Point of departure index
Registration Evaluation and Authorisation of Chemicals
Reference dose
Tetra chloro dibenzo-p-dioxin
Tolerable daily intake
TCDD equivalency factor
TCDD equivalent
Uncertainty factor
Unknown or variable composition complex reaction products or biological
materials
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
Table of contents
1. Terms of reference and workshop aims
2. The workshop programme, resource materials
3. State of the science on combination effects of endocrine disrupters
4. Cumulative risk assessment – is it necessary?
5. Approaches to Cumulative Risk Assessment
6. Consensus formulation and recommendations
7. References
Appendix
5
5
6
11
14
18
22
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
1. Terms of reference and workshop aims
The Danish Environment Minister authorized the Danish Environmental Protection
Agency (DEPA) to host an expert workshop on combination effects of chemicals, with
special emphasis on endocrine disrupters. This workshop took place on 28 – 30 January
2009 in Hornbæk, Denmark.
The aim of the workshop was to examine existing scientific knowledge on combination
effects of endocrine disrupters, with a focus on regulatory aspects. The following
questions were to be addressed:
What is the state-of-the-science on combination effects at present – for chemicals
in general and specifically for endocrine disrupters?
Which problems can be identified on the basis of the existing knowledge – in
relation to health and in relation to the environment?
What are the challenges the regulatory authorities have to face?
How can these challenges be met and the existing knowledge be taken into
account within the existing regulation?
What are suggestions for actions with a focus on regulatory aspects on a global, a
regional (EU) and national (DK) level?
2. The workshop programme, resource materials
To realize the workshop aims, five different sessions were set up.
Session 1,
“Mixtures risk assessment – is it necessary?” was intended as a first step
towards defining the issues of the workshop. A second goal was to review the
experimental evidence for mixture effects when chemicals are combined at low doses,
close to levels that are “points of departure” for risk assessment and regulation (e.g.
benchmark doses or NOAELs).
The plan for
Session 2,
“A basis for combined risk assessment – case study: phthalates
and other anti-androgens” was to summarize the experimental evidence for combination
effects of antiandrogens, to review criteria for grouping these substances for purposes of
mixtures risk assessment and to gain an overview of risk assessment methods for
mixtures.
Session 3,
“The basis of combined risk assessment for other classes of endocrine
disrupters and other chemicals” aimed to consider topics for mixture risk assessment
relevant to other endocrine disrupting chemicals, such as: What are effect outcomes or
mechanisms on which mixtures risk assessment should be based? What is the evidence
for combination effects?
Session 4,
“From mixtures risk assessment to regulation” was set up for a more general
treatment of the mixtures risk assessment, relevant to other groups of chemicals, by
summarizing approaches to mixtures regulation, also in ecotoxicology, including an
analysis of uncertainty factors and their suitability for dealing with mixture effects.
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Sessions 1 – 4 consisted of a series of formal talks, followed by discussions. The talks
were based on resource material which was distributed in advance to all participants.
Finally,
Session 5
“Looking forward – what can/should be done?” was conducted in the
form of a structured discussion among workshop participants, with the aim of drawing up
recommendations for risk assessment, regulation and research.
The workshop programme together with bibliographic references for the resource
material, and the list of participants can be found in the appendix. Since most formal talks
during the workshop were based on published scientific articles, their content is
accessible through the resource list. For this reason, the workshop talks will not be
summarized in chronological order in this report. Rather, a structured digest of the
presentations, discussions and recommendations of the workshop will be given.
3. State of the science on combination effects of endocrine
disrupters
Over the past decade, mixture toxicology has undergone a remarkable and productive
development. While earlier experimental studies focused mainly on mixtures composed
of only two chemicals, the planning, conduct and assessment of multi-component
mixtures with up to 50 chemicals is now state of the art. This has extended from in vitro
assays to in vivo studies, although scientific data about in vivo combination effects are
less prevalent than in vitro studies.
Most mixture studies with endocrine disrupters published in the peer-reviewed literature
have been conducted with the aim of explaining the joint action of selected pure
compounds in terms of their individual effects (component-based approach).
3.1 Definitions and terms
It is noted that the terms “mixture effects” and “effects of combined exposure” (to more
chemicals) are used without discrimination here and that the term “mixture” thus has a
broader meaning in this context than when used in chemicals legislation including
guidance (e.g. REACH and GHS). The field of mixture toxicology is notorious for its use
of poorly defined terms. Depending on context, there are many synonyms, and some
terms are uncritically used with entirely different meanings. For this reason, workshop
participants agreed on tentative definitions for a number of frequently used terms:
Mixture:
A mixture is a combination of several chemicals with which organisms come
into contact, either simultaneously, or sequentially. A binary mixture is a combination of
two agents. The term “complex mixture” is used to denote a mixture of unknown
composition, isolated from environmental media or other sources. “Complex mixture” is
sometimes used to describe combinations composed of three or more chemicals, but for
the purposes of this review, the term “multi-component mixture” is preferred.
Mixture effect, combination effect, joint effects:
The response of a biological system to
several chemicals, either after simultaneous or sequential exposure. The terms are used
synonymously.
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Additivity:
In the context of mixture toxicology, additivity cannot be equated with
“additivity” in the mathematical sense. It refers to a situation, termed “non-interaction”
(and often used synonymously with ”additivity”), where the toxicity of a mixture
resembles the effects expected to occur when all mixture components act without
diminishing or enhancing each others effects. Additivity expectations for mixtures can be
derived from the concepts of dose (or concentration) addition and independent action (see
3.2.1 and 3.2.2). In certain situations, valid expectations for additive combination effects
can also be calculated by building the arithmetic sum of the individual effects of all
mixture components (“effect summation”).
Synergism, antagonism:
When an observed combination effect is larger or smaller than
expected according to an additivity assumption (based either on dose addition or
independent action), there is synergism or antagonism, respectively.
Mechanism of action:
Molecular sequence of events that produce a specific biological
response.
Mode of action:
A sequence of key cellular and biochemical events with measurable
parameters that result in a toxic effect. Mode of action considerations are used to decide
whether an effect observed after administration of a chemical in animals has relevance
for humans. Mode of action is not intended to build a comprehensive model of a
chemical’s actions. It is often confused with mechanism of action, or used in overlapping
ways. Mode of action can include mechanisms of action, but is considered to be broader.
Cumulative risk assessment (CRA), mixtures risk assessment:
The terms are used
synonymously. They denote risk assessment approaches that consider the impact of
multiple chemical exposures, from multiple sources, routes and pathways, over multiple
time frames. It is worth noting that the European use of the term “cumulative risk
assessment” encompasses multiple sources, routes and pathways, but restricts
considerations to one chemical, not multiple chemicals. For the purposes of this report,
the European use of the term is ignored. Toxicity assessments of multi-constituent
substances (e.g. technical solvents) or UVBC (unknown or variable composition,
complex reaction products or biological materials) also do generally not fall under
mixtures risk assessments of the kind discussed during the workshop. The reason is that
multi-constituent substances and UVBCs often are treated in the same way as a single
chemical entity would be dealt with; no attempts are made to explain mixture effects in
terms of the activity of the constituents.
There are various approaches to chemicals risk assessment (Suter and Cormier 2008), and
these also impact on CRA. First, risk assessment can be carried out in order to provide
trigger values for regulatory action to protect humans or wild life from harm
(“protective” risk assessment). In this case, a bias towards conservatism and worst case
assumptions is essential. Second, there is risk assessment aimed at quantifying the
magnitude of impact resulting from certain exposures to chemicals. Such approaches
(“quantitative” risk assessment) need to be as accurate as possible in their risk estimates
and tend to utilize probabilistic methods. This report is mainly concerned with protective
risk assessment, and less so with quantitative risk assessment.
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3.2 Prediction and assessment of mixture effects
When several chemicals occur together in a mixture, they may influence each others
effects by enhancing or diminishing their action. In mixture toxicology, such situations
are described as toxic interactions. More frequently however, chemicals act together
without influencing each others actions. In such cases, it is possible to anticipate
quantitatively the effects of a mixture from knowledge about the effects of its individual
components. This phenomenon is called non-interaction or additivity. Two concepts are
available for the formulation of the null hypothesis of additivity:
dose (or concentration)
addition
and
independent action.
These concepts are based on two entirely different ideas about how the joint action of
chemicals can be perceived.
3.2.1 Dose addition
Dose addition (DA) is based on the idea that all components in the mixture behave as if
they are simple dilutions of one another, which is often taken to mean that the concept
describes the joint action of compounds with an identical mechanism of action. When
these chemicals interact with an identical, well-defined molecular target, it is thought that
one chemical can be replaced totally or in part by an equal fraction of an equi-effective
concentration (e.g. an EC50) of another, without changing the overall combined effect.
A widely used application of this approach is the “toxic equivalence factor” (TEF)
concept for the assessment of mixtures of polychlorinated dioxins and furans (PCDD/F)
(van den Berg et al. 1998). Here, doses of specific PCDD/F isomers are all expressed in
terms of the dose of a reference chemical, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD),
needed to induce the same effect (“equivalent” or “equi-effective” dose). The assessment
of the resulting combined effect is obtained simply by adding up all equivalent TCDD
doses. The application of TEF only holds when the underlying dose-effect relationships
are linear. If this pre-condition is violated, TEFs vary with the effect level that is
considered for analysis.
DA implies that every toxicant in the mixtures contributes in proportion to its toxic unit
(i.e. its concentration and individual potency) to the mixture toxicity. Whether the
individual doses are also effective alone does not matter. Thus, combination effects
should also result from toxicants at or below effect thresholds, provided sufficiently large
numbers of components sum up to a sufficiently high total dose. In view of the exposure
situation in many environmental compartments, the verification or falsification of this
conclusion has been a major topic in recent mixture toxicity studies (see below). An
overview of mixture studies that focused on this issue is given by Kortenkamp and co-
workers (Kortenkamp et al. 2007).
3.2.2 Independent action (response addition, effect multiplication)
Independent action (IA) conceptualises mixture effects in a different way. It assumes that
the joint effect of a combination of agents can be calculated from the responses of
individual mixture components by adopting the statistical concept of independent events.
The resulting combined effect can be calculated from the effects caused by the individual
mixture components by following the statistical concept of independent random events
(Bliss, 1939).
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As IA uses the individual effects of the mixture components to calculate the expected
mixture effect, this concept implies that agents present at doses below their individual
effect thresholds (i.e. at zero effect levels) will not contribute to the joint effect of the
mixture. Hence if this condition is fulfilled for all components there will be no
combination effect. This central tenet of IA is commonly taken to mean that exposed
subjects are protected from mixture effects as long as the doses of all agents in the
combination do not exceed their no-observed-effect-levels or –concentrations (NOEL or
NOECs) (see below).
3.2.3 Choosing between dose addition and independent action for the purpose of
assessment and prediction
A question of fundamental importance to risk assessment and regulation is which of the
two concepts, DA or IA, should be exclusively chosen for the interpretation of empirical
data, or for anticipating mixture effects of untested combinations. As a way of resolving
the issue, DA and IA have been allied to broad mechanisms of combination toxicity, with
DA thought to be applicable to mixtures composed of chemicals with a similar mode of
action, with the corresponding mechanistic model of “simple similar action”, and IA for
chemicals with diverse modes of action, and the mechanistic model of “independent joint
action”.
The issue of distinguishing between these mechanistic models becomes especially
important, when DA and IA predict different mixture toxicities. In such cases it is
important to realize that the prediction differences or similarties stem from the
mathematical features that form the basis of DA and IA (Drescher and Boedeker 1995).
Prediction differences are not driven by the biology or toxicology of combinations of
chemicals with similar or diverse mode of actions.
Dose addition is thought to be applicable to mixtures composed of chemicals that act
through a similar or common mode of action (US EPA 1986, 1999, 2000). Although the
original paper by Loewe and Muischneck (1926) contains little that roots dose addition in
mechanistic considerations, the idea of similar action probably derives from the
“dilution” principle which forms the basis of this concept. Because chemicals are viewed
as dilutions of each other, it is implicitly assumed that they must act via common or
similar mechanisms.
Conversely, IA is widely held to be appropriate for mixtures of agents with diverse or
“dissimilar” modes of action. Although rarely stated explicitly, this presumably stems
from the stochastic principles that underpin this concept. The idea that chemicals act
independently is equated with the notion of action through different mechanisms. By
activating differing effector chains, so goes the argument, every component of a mixture
of dissimilarly acting chemicals provokes effects independent of all other agents that
might also be present, and this feature appears to lend itself to statistical concepts of
independent events. However, theoretically, the stochastic principles of IA are also valid
when one and the same agent is administered sequentially. This can be illustrated by
using cytotoxicity as an example. Because cells cannot die twice, the probabilistic
principle of IA applies, even though the precise mechanisms that underlie the cytotoxic
action of the chemical are identical in sequential administration. In the case of
simultaneous administration of many chemicals however, the principle of independent
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events only applies when the additional assumption is made that all mixture components
act strictly independently, through different mechanisms.
The practical relevance of IA for the assessment of mixture effects has been called into
question on the basis of considerations of biological organisation. The principle of strictly
independent events may rarely apply due to converging signalling pathways and inter-
linked subsystems. For these reasons, DA is seen as more broadly applicable, and has
been termed the “general solution” for mixture toxicity assessment (Berenbaum 1985).
However, the few studies that were specifically designed for a comparative evaluation of
both concepts for mixtures composed of strictly dissimilarly acting substances,
demonstrated that IA provides a better prediction of the observed mixture toxicities
(Backhaus et al. 2000; Faust et al. 2003). These observations argue against DA as the
“general solution” for mixture assessments.
It appears that theoretical considerations are not decisive in answering the question of
choice between DA and IA as assessment concepts for endocrine disrupter mixtures. To
resolve the issue, it is therefore necessary to consider the empirical evidence.
3.3 Dose addition or independent action? - Experimental evidence with mixtures of
endocrine disrupters
The study of mixtures composed of chemically pure endocrine disrupters, in laboratory
settings, has yielded a considerable body of evidence showing that concentration (dose)
addition provides a sound approximation of experimentally observed additive
combination effects (see the review by Kortenkamp 2007). However, due to a
predilection of researchers to combine endocrine disrupters of the same type (e.g.
estrogenic, antiandrogenic or thyroid-disrupting chemicals), in many of the published
studies IA could not have been expected to produce valid additivity expectations.
Even so, there are recent indications that DA gives better approximations of combination
effects of endocrine disrupters with diverse modes of action. For example, Rider et al.
(2008) conducted mixture experiments with the three phthalates BBP, DBP, and DEHP in
combination with the antiandrogens vinclozolin, procymidone, linuron, and prochloraz.
Its components have a variety of antiandrogenic modes of action. Vinclozolin and
procymidone are AR antagonists, and linuron and prochloraz exhibit a mixed mechanism
of action: inhibiting steroid synthesis and blocking the steroid receptor. DA gave
predictions of combined effects of the mixed-mode antiandrogens that agreed better with
the observed responses than did the expectations derived from IA.
Mixtures of thyroid disrupting chemicals with diverse modes of action also showed
combination effects that were approximated better by DA, not IA (Kevin Crofton,
workshop presentation of unpublished data).
No case has yet been identified, where IA yielded predictions of endocrine disrupter
combination effects larger than those derived from DA, and at the same time were in
agreement with experimental data. Taken together, the determinants of additive joint
action of endocrine disrupters are fairly well established, and it appears that DA provides
good approximation of combination effects. Therefore, until evidence to the contrary
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emerges, DA can be adopted as the default concept for the assessment and prediction of
endocrine disrupter mixture effects.
Factors that might lead to deviations from expected additive effects, indicative of
synergisms or antagonisms, are beginning to emerge and require further research. The
magnitude of such deviations cannot be predicted quantitatively. Toxicokinetic
interactions are one established cause of deviations from additivity. A notable example of
such deviations is the synergism that was observed with a mixture of vinclozolin,
prochloraz, finasteride and DEHP with respect to hypospadias and genital malformations
among male offspring of female rats (Ulla Hass, workshop presentation of unpublished
data).
4. Cumulative risk assessment – is it necessary?
Many experimental studies of mixture effects have been motivated by understanding
determinants of additivity and predictability. Inevitably, this has meant that chemicals
had to be combined at doses considerably higher than those encountered by the general
population. Two issues need to be addressed to judge the relevance of combination
effects for risk assessment: Do combination effects occur when chemicals are combined
at low doses? Are the uncertainty factors used to translate apparently safe dose levels
derived from animal experiments into acceptable exposures for humans insufficiently
protective to take account of mixture effects?
4.1 Mixture effects at low doses of mixture components
Certain experimental mixture studies have been designed to assess whether combination
effects occur when chemicals are combined at low doses, here defined as being
sufficiently low to be without observable effects when tested on their own (i.e. below the
sensitivity of the chosen experiment to be measurable). Often, these doses were in the
range of those commonly used to derive estimates of safe human exposures (so-called
points of departure, usually no-observed-adverse-effect-levels, NOAELs, or benchmark
doses). The review by Kortenkamp et al. (2007) summarizes the evidence for endocrine
disrupters and other types of chemicals, and an update was provided by Michael Faust
(workshop presentation).
For combinations composed of chemicals that interact with the same molecular receptor
or molecular target in an organism, there is good evidence that mixture effects can arise
at doses around, or below, points of departure. Considering the main assumptions
underlying the concept of dose addition, this is to be expected (see 3.1.1).
In contrast, theory predicts that mixtures which follow IA should not yield a combination
effect as long as all components are present at doses associated with zero responses. This
is widely held to mean that mixtures of dissimilarly acting chemicals are safe, as long as
exposure to each component does not exceed its individual point of departure (COT
2002, VKM 2008). With reference to the apparent diversity of chemical exposures in the
“real world”, IA is taken as the default assessment concept in human toxicology, when
strict similarity criteria of dose addition appear to be violated or if specific evidence for
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the compounds of a given mixture is lacking. Implicitly taking “dissimilar action” or
“independent joint action” as the negation of “simple similar action” it is then assumed
that IA must hold, even without further proof that the underlying mechanisms indeed
satisfy any explicit dissimilarity criterion. This is then taken to mean that combined
exposures are without risk as long as all components stay below their points of departure.
Consequently, possible mixture effects are considered an irrelevance for chemicals risk
assessment.
In apparent contradiction to this view, there is good evidence that combinations
composed of chemicals with diverse modes of action also exhibit mixture effects when
each component is present at doses equal to, or below points of departure (Kortenkamp et
al. 2007, and updates in Michael Faust’s workshop presentation).
The flaw in the above line of thinking is two-fold:
First, when chemicals cannot be shown to interact with the same molecular targets, it
does not follow, that they must act in a dissimilar fashion. It is conceivable that diverse
modes of action lead to similar adverse outcomes – dissimilar action is not the simple
negation of similar action.
Second, points of departure, and particularly NOAELs, are confused with with true zero
effect levels. Under IA, combination effects cannot arise when the individual responses
of each component in the mixture are zero. With large numbers of chemicals however,
even very small individual effects will lead to considerable combined responses. For
example, 100 chemicals that each produce 0.1% of a maximal effect, are expected to
yield a response of 9%, according to IA. However, the resolving power of most testing
methods in regulatory use is far too low to demonstrate such small effects. Far from
signifying zero effect levels, NOAELs describe a grey zone, where the presence of
effects can neither be proven, nor ruled out with confidence. NOAELs are frequently
associated with effects of between 5 and 10% (Kortenkamp et al. 2007, Scholze and
Kortenkamp 2007).
Taken together, there is good evidence to show that the implicit null-model of many
regulatory assessments, namely, that only the most potent compound determines the
toxicity of the mixture, is usually wrong. Instead, more than one chemical in the mixture
contributes to the observed effects (either according to DA or IA) in contradiction to the
regulatory default model of “only the most toxic compound counts”.
The demonstration that mixtures of dissimilarly acting chemicals are not without effect
when they are combined at doses around points of departure, does say little about
whether or not risks are present in “real world” exposure settings. The decisive factor for
such risks to occur lies in the number of chemicals, and their levels: Only if sufficient
numbers of chemicals of sufficient potency and at sufficiently high exposure levels are
present, are combination effects to be expected. The issue can only be decided on the
basis of better information about relevant combined exposures of human populations and
wild life. This information is currently missing, and this knowledge gap presents a major
challenge to risk assessment.
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4.2 Uncertainty factors in risk assessment and standard setting – do they allow for
the possibility of mixture effects?
Although observations of combination effects of endocrine disrupters at low doses have
lent urgency to calls to account for such effects in chemicals risk assessment and
regulation, the need for doing so is often disputed with the argument that the
conventional chemical-by-chemical risk assessment is sufficiently protective. The
Uncertainty Factors (UF) usually applied to translate apparently safe dose levels derived
from animal experiments into acceptable exposures for humans, so goes the argument,
already cover the possibility of combination effects. The issue was examined by Martin
Scholze (workshop presentation).
Uncertainty factors are used in two different ways: Either to assess the health risks
associated with certain chemical exposures by deriving Margins of Exposure (MOE) or
Margins of Safety (MOS), or with the aim of establishing recommended health-based
guidance values, such as Acceptable (or Tolerable) Daily Intakes (ADI, TDI), Reference
Doses (RfD) and such like. Depending on context and goals, they are also referred to as
Assessment Factors.
The widely used UF of 100 is obtained by multiplication of two factors, one to allow for
intra-species sensitivity differences (10), the other for species-species extrapolations from
animal to human (10). Additional factors may be used to compensate for uncertainties
due to lack of information. For example, in the absence of data for chronic toxicity, an
(additional) default factor of 10 can be employed. Similarly, if test data do not allow the
estimation of a NOAEL, an additional factor of 10 may be brought into play. The various
assessment factors are multiplied, and this can yield a very large overall UF. The largest
reported overall UF in USEPA’s Integrated Risk Information System is 10,000. A
specific factor intended to allow for possible mixture effects is not in use.
Nevertheless, the common practice of combining different types of assessment factors by
multiplication has led to the idea that many overall UF’s are overly conservative. By
implication, this is taken to mean that mixture effects are covered. This idea appears to be
based on a mistaken interpretation of the multiplication rule of probabilities for rare
events. While is it clear that the occurrence of two rare independent events together tends
towards zero, assessment factors cannot be equated with probabilities. A direct
translation of UF’s into probabilities is not possible.
There is evidence that the common practice of using a factor of 10 to deal with animal-to-
human extrapolations may lead to underestimations of risk. The same applies to the factor
of 10 to allow for between-human differences in sensitivity. These considerations force
the conclusion that an UF of 100 offers insufficient room to allow for mixture effects for
all possible realistic mixtures.
Finally, the issue of UF’s and mixture effects can be approached from a different
direction by asking the question: how large would an additional assessment factor have to
be to take account of mixture effects? For a combination of chemicals that follows dose
addition, it can be shown that the RfD’s for each individual chemical would have to be
divided by the number of chemicals that contribute to an overall mixture effect. For
example, if a combined effect from simultaneous exposure is due to 5 chemicals, then the
RfD of every chemical has to be divided by 5, which is equivalent to saying that an
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additional assessment factor of 5 is needed to cover mixture effects (NRC 2008).
Correspondingly larger factors are needed if more chemicals can be shown to contribute
to a common adverse outcome. However, choices about sufficiently protective factors
cannot be made without better information about the number of relevant chemicals, their
levels and potency, and how they contribute to human exposures.
To summarize, a specific “mixtures assessment factor” is currently not employed in the
traditional chemical-by-chemical risk assessment, and there is little to suggest that
commonly used UF are overly protective. There is not much “room” to allow for mixture
effects.
5. Approaches to Cumulative Risk Assessment
The practice of Cumulative Risk Assessment (CRA) is furthest developed in the USA,
where the US EPA is by far the most important authority for mixtures risk assessment
and regulation. Until recently, a common application of mixtures risk assessment in the
USA was to Superfund waste sites. The Comprehensive Environmental Response
Compensation and Liability Act (CERCLA) which came into force in 1980 specifically
calls for mixture risk assessment during the evaluation of risks that stem from hazardous
waste sites and chemical accidents. An additional stimulus for CRA was the passage of
the Food Quality Protection Act (FQPA) in 1996 which required the estimation of health
risks from combinations of pesticides with a common mode of action, from any exposure
source.
Several workshop presentations have dealt with existing approaches and practices of
CRA (presentations by Linda Teuschler, Rolf Altenburger and Henrik Tyle), and one
workshop aim was to evaluate whether these approaches can be used productively to deal
with endocrine disrupter mixtures.
5.1 The grouping of chemicals for the purpose of cumulative risk assessment
CRA begins with the identification of chemicals that should be grouped together and
subjected to joint risk assessment. In Superfund site assessments this is driven by
considerations of joint exposures. In contrast, CRA for pesticides begins with the
identification of a group of chemicals that are considered to induce a common toxic effect
by a common mechanism, a so-called common mechanism group (CMG). The criterion
proposed by US EPA (2000) for grouping chemicals for cumulative risk assessment is
“toxicological similarity”.
Extensive guidance exists about how this should be implemented (US EPA 2000).
Pesticides and other chemicals are considered to qualify for inclusion in a CMG when
their mechanism of toxicity shows similarities in both nature and sequence of major
biochemical events (workshop presentations by Linda Teuschler and Rolf Altenburger).
The use of toxicological similarity based on mechanisms, however, may lead to overly
narrow groupings. For example, organophosphate pesticides and carbamates inhibit
acetylcholinesterase, and this is shown to be a relevant step in the manifestation of
toxicity. Because the mechanism of inhibition by carbamates is via carbamylation, and
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that of organophosphates by phosphorylation, and because this is judged to represent
different molecular mechanisms, the two types of pesticides are not assessed together, but
included in separate CMGs for the purpose of mixtures risk assessment. Such narrow
groupings ignore that joint effects can also occur from combined exposures with other
than common mechanisms (workshop presentation by Rolf Altenburger).
5.1.1 Grouping for antiandrogens
An exaggerated focus on mechanisms of toxicity may lack plausibility and credibility
when it is applied as a grouping criterion for endocrine disrupters. With a recent report by
the National Research Council (NRC) of the US National Academy of Sciences the issue
came to a head with antiandrogens, including phthalates. The NRC advised that a
cumulative risk assessment should not only consider certain phthalates, but also other
chemicals that could potentially cause the same health effects as phthalates (NRC 2008).
It was recommended that phthalates and other chemicals that affect male reproductive
development in animals, including antiandrogens, be considered in the cumulative risk
assessment. Solely mechanism-based criteria may lead into a dilemma: Because there are
subtle differences in the precise molecular details by which phthalates can act as
endocrine disrupters, not even all antiandrogenic phthalates would be subjected to CRA,
when mechanistic considerations are the sole grouping criterion.
The NRC therefore recommended a broader based move towards establishing grouping
criteria for phthalates and other antiandrogens. With this type of endocrine disrupter, a
case can be made for adopting a physiological approach to analyzing toxic mechanisms
of action with respect to similarity or dissimilarity. If it is recognized that the driver of
male sexual differentiation during development is the effect of androgen action, it is
irrelevant whether the hormones’ effects are disrupted by interference with steroid
synthesis, by antagonism of the androgen receptor, or by some other mechanism (for
example, affecting consequences of androgen receptor activation). The resulting
biological effects with all their consequences for male sexual differentiation are similar,
although the molecular details of toxic mechanisms - including metabolism, distribution
and elimination - differ profoundly in many respects. Judged from such a perspective, a
focus on phthalates to the exclusion of other antiandrogens not only would be artificial
and lack credibility, but could imply serious underestimation of cumulative risks posed
by agents for which there is simultaneous exposure (workshop presentations by Ulla Hass
and Andreas Kortenkamp).
5.1.2 Thyroid disrupting chemicals
Similar considerations may apply to the group of thyroid disrupting chemicals which
affect multiple targets through a variety of mechanisms. In an echo of the situation with
antiandrogenic chemical mixtures, the question is: which level of biological complexity
should be used to cumulate joint effects? If an endpoint representative of a specific mode
of action is chosen (e.g. variations in T4 levels), then certain chemicals might be left out
of a common grouping. On the other hand, if the endpoint chosen for integration is at a
very high level of complexity (e.g. changes in cognitive function), not only a very large
number of chemicals but also a variety of non-chemical stressors will have to be taken
into account. This may become difficult to handle in risk assessment settings (workshop
presentation by Kevin Crofton).
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5.1.3 Dioxin-like endocrine disrupters
Dioxins and dioxin-like compounds represent a group of endocrine disrupters where key
events of toxicity are thought to be mediated by binding to the arylhydrocarbon receptor
(AhR). These chemicals were first grouped according to descriptors of chemical structure
(to include only polychlorinated dibenzo-p-dioxins and –furans, PCDD, PCDF), but
insights into their biological activity led to the incorporation of co-planar PCBs and other
poly-halogenated polycyclic hydrocarbons (workshop presentation by Martin van den
Berg). By using the criterion of AhR activation, polybrominated diphenyl ethers (PBDE)
were not included in the group of dioxin-like chemicals. It turned out that pure PBDE
were devoid of AhR activity, and that earlier reports of AhR activation could be ascribed
to contamination with dioxin-like chemicals, most importantly polybrominated
dibenzodioxins and –furans. The most potent PCDD, 2,3,7,8 TCDD, is selected as the
reference chemical, and the potency of all other dioxin-like chemicals is expressed in
terms of TCDD effect concentrations, so-called TCDD equivalents, with TCDD
equivalency factors (TEF) (van den Berg et al 2006). The use of TEF for the assessment
of mixtures of dioxin-like chemicals is an application of the concept of dose addition, and
is a widely accepted risk assessment method.
5.1.4 Estrogenic chemicals
In many ways, estrogenic chemicals resemble dioxin-like chemicals: Their activity is
thought to be mediated by binding to estrogen receptors (ER alpha or beta), which
suggests itself as a straightforward grouping criterion (workshop presentation by Andreas
Kortenkamp). Furthermore, there are reference agents of high potency (17-beta-estradiol,
DES) and there is good evidence that mixtures of estrogenic chemicals follow dose
addition when the assessment is based on events relatively close to receptor activation
(Kortenkamp 2007). Consequently, it has been suggested that this group of endocrine
disrupters should be assessed just like dioxin-like chemicals, by using the toxicity
equivalency concept. However, this suggestion has been called into question by Safe,
with reference to the complexity of estrogen signaling (discussed in Kortenkamp 2007).
Nearly 20 years ago, evidence has emerged that ER activation is possible without binding
to the binding pocket of the steroid hormone, e.g. by phosphorylation through activation
by growth factors. This opens the possibility that estrogen action can be substantially
modulated by chemicals interfering with other phosphorylation events. Should such
agents be subjected to CRA with estrogenic chemicals? Furthermore, more research is
needed to elucidate the toxicological relevance of ER activation. Although chemicals
such as DES are potent disrupters of male and female sexual differentiation, it remains to
be seen whether these effects are mediated by ER activation. Similarly, the mechanisms
by which estrogens play a role in breast cancer are not entirely resolved.
Considerations of mode of action as a grouping criterion are often of little use in
ecotoxicological mixtures risk assessment, because each chemical usually exhibits
multiple modes of action. The solution to this problem is to take account of sensitivity
differences in various receptors and species (Leo Posthuma, workshop presentation).
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5.2 Mixtures risk assessment methods
The application of mixtures risk assessment methods requires clarity about the goal of the
assessment. The aim can be to arrive at a risk estimate, an estimation of safe levels, of
margins of exposure, or can consist in ways to prioritize certain mixtures (Linda
Teuschler and Leo Posthuma, workshop presentations). Estimations of safe levels or
margins of exposure may be based on worst-case-assumptions, but the prioritization of
mixtures (or affected sites) has to rely on fairly accurate quantitations of risk.
Considering that experimental studies with endocrine disrupters showed that dose
addition is a useful concept for the approximation of combination effects, component-
based methods derived from dose addition suggest themselves as risk assessment
approaches. These include the Hazard Index (HI), Point of Departure Index (PODI) and
the TEQ concept (Linda Teuschler and Henrik Tyle, workshop presentations).
All these methods require dose-response information of mixture components as input
values. The HI sums up ratios of exposure levels and reference doses over chemicals. The
reference doses can be arrived at by utilizing different UF for each mixture component. If
this is perceived to be a problem, the PODI method can be used. PODI is based not on
reference doses, but on points of departure (NOAELs, benchmark doses). Extrapolation
issues (e.g. animal to human) are then dealt with by using one overall UF. Finally, the
TEQ concept is predicated on the choice of a reference chemical and requires parallel
dose-response curves for all components. Both these requirements are often not met by
endocrine disrupters, but the method has been validated for dioxin-like endocrine
disrupters.
5.2.1 Tiering
Depending on the quality of the data that are available for CRA (data poor or data rich),
tiering methods might be very productive to explore the problem, and refine (with more
sophisticated models and associated supporting data) when needed (Leo Posthuma,
workshop presentation). At the lowest tier (tier 0), it may become apparent that the
situation to be evaluated does in fact not present an issue for mixtures risk assessment. In
the next higher tier (tier 1), termed “simple generic”, data about mixed exposures may not
be present, but it may be deemed desirable to safeguard against the possibility of joint
effects by adopting a specific mixtures assessment factor. In tier 2, “moderately simple
generic”, sufficient data may be available to warrant the assumption of dose addition
throughout, in which case variants of this concept could be applied, even though
independent action may produce less conservative estimates. In a quite data rich situation
(tier 3, “complex specific”) sufficient information about various modes of action may be
available, such that mixed mixtures assessment models (DA within groups of compounds
perceived to follow simple similar action, followed by IA across groups) can be applied.
Finally, in the highest tier 4 (“highly specific”) it would be possible to address both issues
of modes of action and differences in the vulnerability of various species or risk
receptors.
In the light of the data situation typical for many endocrine disrupters, it would appear
that assessments at tier 1 and tier 2 are currently possible.
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5.2.2 Validation
With the aim of putting CRA methods on a sound footing, it is important to seek
situations where the outcome of specific assessments can be validated. While this is
achievable in ecotoxicology (presentation Leo Posthuma), the situation is much more
complicated in the arena of human toxicology.
5.3 Regulation and risk management
CRA for endocrine disrupters and other chemicals can yield important stimuli for
regulation and risk management, by providing the basis for a procedure of relative
ranking, e.g. according to the most potent chemicals. This would offer the possibility of
strictly regulating, or even eliminating those chemicals that are shown to have the
greatest impact on a combination effect. Other rankings could be performed in terms of
the most problematic exposure settings, or the most vulnerable population subgroups
(Leo Posthuma, workshop presentation).
6. Consensus formulation and recommendations
The workshop participants reached a consensus on a number of specific issues relevant to
CRA of endocrine disrupters. The participants also made certain recommendations
concerning risk assessment methods, research needs, and legislative requirements.
6.1 Mixtures risk assessment is necessary
In view of the evidence about mixture effects at low experimental doses (see 4.1) and the
uncertainty of commonly employed UF in single-chemical risk assessment (see 4.2) a
disregard for combination effects was considered undesirable and not in line with
currently available empirical evidence. Any CRA method, even one that employs the
narrowest possible toxicological grouping criteria, was deemed to represent an
improvement compared to the current pre-occupation of conventional risk assessment
with chemical-by-chemical approaches. Moreover, an extended look at simultaneous or
sequential exposure issues was deemed crucial, to add to the classical toxicological
approaches.
6.2 The assumption of independent action as a default for “real world” mixtures is
not tenable
As discussed in 4.1, the absence of proof of “similarity” in the mode of action of mixture
components cannot be taken to indicate applicability of IA as a default, with the implicit
assumption that combination effects are not to be expected if all chemicals are present at
doses below their individual points of departure or NOAELs. The workshop participants
recognized that the available empirical data do not support this widely held view. Instead,
there is good evidence that mixtures that follow IA exert effects even when all mixture
components are present at doses below their NOAELs.
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6.3 The application of dose addition is recommended as a default, until evidence to
the contrary appears
The empirical evidence with endocrine disrupter mixtures (see 3.3) shows that DA yields
reasonable approximations of observed combination effects. There are many examples
where IA has produced underestimations of observed joint effects. Crucially, no case
could be identified, where IA afforded a more conservative mixture effect prediction that
was at the same time in agreement with the experimental mixture effects. It is
conceivable that such evidence appears in the future, but until this is the case, DA was
recommended as the default assessment method, irrespective of presumed modes of
action. This modus operandi has the additional advantage of requiring fewer data than the
alternative concept of IA, with the consequence that it can serve as lower-tier approach in
many circumstances.
6.4 Steps towards CRA: criteria for the grouping of chemicals, assessment methods
Grouping criteria that are driven exclusively by thoughts about mechanisms or the key
events for a mode of action were seen as problematic by the workshop participants (see
5.1), and it was recommended that grouping should be dissociated from mechanistic
considerations. For risk assessment, phenomenological grouping criteria, based on
common adverse health outcomes, were seen as a more useful starting point for
groupings. Nevertheless, it was recognised that toxic effects become less specific for the
initiating event, as one moves further down-stream of an effector chain. This loss of
specificity may lead to the inclusion of an ever wider array of chemicals into a grouping
for CRA, ultimately blurring all distinctions, with the need to include all chemicals.
However, this was not perceived to be a critical problem for endocrine disrupting
chemicals.
Another useful criterion for groupings is the likelihood with which simultaneous
exposures to several chemicals occurs.
A tiered assessment, depending on the extent and quality of existing data about hazards
and exposures is recommended. For example, to alleviate concerns about mixture effects,
it would be possible to adopt a specific assessment factor in the traditional chemical-by-
chemical risk assessment, even without any further data. In more data-rich situations, it is
feasible to utilize applications of the dose addition concept to define margins of exposure
or other indicators of risk.
6.5 CRA for endocrine disrupters, although feasible, is hampered by important data
gaps
Due to significant experimental advances in the last five years, determinants of additive
mixture effects of classes of endocrine disrupters are now quite well understood. The
prospect of CRA for endocrine disrupters is limited by incomplete information about
relevant exposure scenarios. This is particularly critical for human risk assessment: it is
not even possible to say with confidence whether there are only a few chemicals that
contribute significantly to an overall mixture effect, or whether the number of relevant
chemicals is likely to be high. Better knowledge about this aspect of the problem would
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have an enormous impact on the prospects of CRA. The issue can only be resolved
through dedicated mixtures exposure assessment approaches, where scores of chemicals
are measured in one and the same sample. This would also provide information about the
feasibility of using certain index chemicals as surrogates for exposure measurements.
Furthermore, it was recommended to identify exposure “hot spots” with the aim of using
those for targeted monitoring (with associated exposure ‘cold spots’ as points of
reference for interpretation).
Another challenge concerns the issue of dose metrics. The usefulness of data from animal
experiments would be enhanced greatly if the internal tissue levels resulting from
experimental exposures were known. This would enable a read-across to readily
accessible data about human tissue levels.
Further research needs are in the following areas:
The joint effects of different classes of endocrine disrupters need to be evaluated, and a
better understanding of hormone systems other than estrogens, androgens and thyroid
hormones is urgently required.
Finally, determinants that lead to synergisms between endocrine disrupters need to be
investigated.
6.6 A better legislative basis for CRA is needed in Europe
Without the legal mandates laid down in the US American CERCLA and FQPA,
cumulative risk assessment would not have been implemented in the USA. With the
exception of the recent changes in European pesticides regulations, where mixture risk
assessment is mandated, comparative legal frameworks that clearly address CRA do
currently not exist in Europe. In REACH for example, CRA for multiple chemicals from
multiple sources, routes and pathways is only addressed to a very limited extent in the
current guidance. Other relevant European legislations do not contain a mandate for CRA
for multiple chemicals from multiple sources, routes and pathways.
Development of a comprehensive implementation of CRA should be given serious
consideration in all relevant legislation and guidance dealing with chemicals safety
assessment and the establishment of safe emission and exposure levels. It is essential to
assess the scope of existing laws and guidance in order to define better whether existing
regulation can be amended to accommodate CRA, or whether tailor-made regulations
need to be developed.
6.7 Prioritisation
The workshop participants were asked to distill their recommendations into a few main
points and to prioritize. Consensus on the following was reached:
CRA for endocrine disrupters can start immediately – important information
necessary to make decisions about groupings of chemicals to be subjected to
mixture risk assessment is available.
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Dose addition should be used as the default lower-tier assessment method. It
should replace the current risk assessment paradigm that is focused on single
chemicals, with its erroneous implicit assumption of “only the most toxic
compound counts”.
The legal basis and/or guidance for CRA in Europe needs to be enhanced further.
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7. References
Backhaus T, Scholze M, Grimme LH. 2000. The single substance and mixture toxicity of
quinolones to the bioluminescent bacterium
Vibrio fischeri.
Aquat Toxicol 49:49-
61.
Berenbaum MC. 1985, "The expected effect of a combination of agents: the general
solution",
Journal of Theoretical Biology,
114: 413-431.
Bliss CI. 1939. The toxicity of poisons applied jointly.
Ann Appl Biol
26:585-615.
COT (Committee on Toxicity of Chemicals in Food, Consumer Products and the
Environment). 2002. Risk assessment of mixtures of pesticides and similar
substances. Her Majesty’s Stationary Office, London, United Kingdom. Available:
http://www.food.gov.uk/science/ouradvisors/toxicity/COTwg/wigramp/
[accessed 7
September 2005].
Drescher K, Boedeker W. 1995. Concepts for the assessment of combined effects of
substances: the relationship between concentration addition and independent action.
Biometrics
51:716-730.
Faust M. et al. 2003, "Joint algal toxicity of 16 dissimilarly acting chemicals is
predictable by the concept of independent action.",
Aquatic Toxicology,
63: 43-63.
Kortenkamp A. 2007, "Ten years of mixing cocktails: a review of combination effects of
endocrine-disrupting chemicals",
Environ.Health Perspect.,
115 (Suppl 1): 98-105.
Kortenkamp A, Faust M, Scholze M,Backhaus T. 2007, "Low-level exposure to multiple
chemicals: reason for human health concerns?",
Environ.Health Perspect.,
115
(Suppl 1):106-114.
Loewe S, Muischnek H. 1926. Über Kombinationswirkungen. 1. Mitteilung: Hilfsmittel
der Fragestellung [in German].
Naunyn-Schmiedebergs Arch Exp Pathol
Pharmakol
114:313-326.
NRC, 2008. Phthalates Cumulative Risk Assessment – The Tasks Ahead. Committee on
Phthalates Health Risks, National Research Council, National Academy of
Sciences, Board on Environmental Science and Technology, National Academy
Press, Washington, DC.
Rider CV, Furr J, Wilson VS, Gray LE., Jr. 2008, "A mixture of seven antiandrogens
induces reproductive malformations in rats",
Int. J. Androl,
31: 249-262.
Scholze M, Kortenkamp A. 2007. Statistical power considerations show the endocrine
disrupter low dose issue in a new light.
Environ. Health Perspect.
115 (Suppl.
1):84-90.
Suter GW, Cormier SM. 2008. What is meant by risk-based environmental quality
criteria.
Integrated Environ Assess Monitoring
4: 486-489.
U.S. EPA. 1986. Guidelines for health risk assessment of chemical mixtures. Fed. Reg.
51(185):34014-34025.
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U.S. EPA. 1989. Risk assessment guidance for superfund. Vol. 1. Human health
evaluation manual (Part A). EPA/540/1-89/002. Washington, DC:U.S.
Environmental Protection Agency.
U.S. EPA. 2000. Supplementary guidance for conducting health risk assessment of
chemical mixtures. EPA/630/R-00/002. Washington, DC:U.S. Environmental
Protection Agency.
Van den Berg M, Birnbaum L, Bosveld ATC, Brunstrom B, Cook P, Feeley M, et al.
1998. Toxic equivalency factors (TEFs) for PCBs, PCDDs, PCDFs for humans and
wildlife.
Environ Health Perspect
106:775-792.
Van den Berg, M., Birnbaum, L.S., Denison, M., De Vito, M., Farland, W., Feeley, M.,
Fiedler, H., Hakansson, H., Hanberg, A., Haws, L., Rose, M., Safe, S., Schrenk, D.,
Tohyama, C., Tritscher, A., Tuomisto, J., Tysklind, M., Walker, N., and Peterson,
R.E., 2006. The 2005 World Health Organization Reevaluation of Human and
Mammalian Toxic Equivalency Factors for Dioxins and Dioxin-Like Compounds.
Toxicol. Sci.
93: 223–241.
VKM. 2008. Combined toxic effects of multiple chemical exposures. Opinion of the
Scientific Steering Committee of the Norwegian Scientific Committee for Food
Safety. Oslo. ISBN (printed version) 978-82-8082-232-1
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Appendix
Expert workshop on combination effects of chemicals, 28-30
January 2009, Hornbæk, Denmark
Programme outline
Wednesday, 28 January 2009
12:00
13:30
Lunch
Henrik Soren Larsen, Andreas Kortenkamp
Welcome and introductory remarks
Session 1: Mixtures risk assessment – is it necessary?
13:45
Round table opening discussion: Are there examples where
combined exposures have proven to pose risks?
This discussion is intended as a first attempt at defining issues: workshop participants
are invited to give their opinions about what, if any, they regard as important examples
where mixtures are a problem, in human and/or ecotoxicology.
14:30
Michael Faust
Low dose mixture effects – a review of experimental evidence
This presentation will review the experimental evidence for mixture effects when
chemicals are combined at low doses, close to levels that are “points of departure” for
risk assessment (i.e. benchmark doses or NOAELs).
Resource:
Kortenkamp et al. 2007 EHP 115 Suppl 1 : 106
15:00
15:30
Discussion
Coffee break
Session 2: A basis for combined risk assessment – case study: phthalates
and other anti-androgens
Beginning with a fairly well-researched group of chemicals, this session is a first attempt
at crystallizing issues for mixtures regulation: What is the experimental evidence for
combination effects of phthalates and other antiandrogens? How can these data be
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
assessed? What are criteria for grouping these substances for purposes of mixtures risk
assessment?
15:45
Ulla Hass
Combination effects of phthalates and other anti-androgens after
gestational exposure
Resource:
Hass et al. 2007 EHP 115, Suppl 1 : 122, Metzdorff et
al. 2007 Toxicol Sci 98 : 87, Christiansen et al. 2008 Int. J.
Androl. 31: 241
16:15
16:30
Discussion
Andreas Kortenkamp
Which chemicals should be grouped to protect against combination
effects resulting in disruption of male sexual differentiation? – a
discussion of grouping criteria
Resource:
Summary chapter of US NRC report “Cumulative risk
assessment for phthalates – the tasks ahead”
17:00
17:15
Discussion
Linda Teuschler
An overview of chemical mixtures risk assessment methods
Resource:
Teuschler 2007 TAP 223: 139
Having discussed the specifics of antiandrogen mixtures in some detail, this presentation
is intended to broaden the discussion and will summarize the methods that have been
used to group other substances for the purpose of mixtures risk assessment. Is it possible
to derive generally applicable criteria?
17:45
18:00
Discussion
Drinks and dinner
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
Thursday, 29 January 2009
Session 3: The basis of combined risk assessment for other classes of
endocrine disrupters and other chemicals
The following series of talks will consider topics for mixture risk assessment relevant to
other endocrine disrupting chemicals, such as: What are effect outcomes or mechanisms
on which mixtures risk assessment should be based? What is the evidence for
combination effects?
9:00
Kevin Crofton
Effect profiles of thyroid-disrupting chemicals and experimental
evidence of mixture effects
Resource:
Crofton 2008 IJA, Crofton et al. 2005 EHP
Discussion
9:30
Martin van den Berg
Dioxins, PCBs and related chemicals – an update on the TEF
approach
Resource:
Van den Berg et al. 2006 Tox Sci 93 : 223
Discussion
10:00
Andreas Kortenkamp
Estrogens and estrogen-like chemicals – an update on combined
effects
Resource:
Kortenkamp 2007EHP 115 Suppl 1: 98
Discussion
10:30
11:00
Coffee break
Rolf Altenburger
A brief overview of other efforts of mixtures risk assessment:
organophosphates, carbamates, chloroacetanilides, triazines…
Resource:
EPA guidance documents
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
11:30
General discussion: Is mixtures risk assessment for endocrine
disrupters and other chemicals a viable prospect? What are
barriers? What are opportunities?
Suggested topics for discussion include: Are toxicologically relevant endpoints
sufficiently well characterized to provide a basis for mixtures risk assessment? What are
major sources of uncertainty? Knowledge gaps?
12:30
Lunch
Session 4: From mixtures risk assessment to regulation
The scene is set for a more general treatment of the mixtures risk assessment, relevant to
other groups of chemicals. The session begins with a brief summary of approaches to
mixtures regulation, considers practice in ecotoxicology, and what can be derived for
human toxicology and ends with an analysis of uncertainty factors and their suitability
for covering mixture effects.
14:00
Henrik Tyle
Synopsis of approaches to mixtures regulation (top n, PODI, HI,
TEF, relative potency factors, etc)
Resource: VKM report 2008, p 38 – 51, Feron et al 2004, ETAP
18, 215
14:30
Leo Posthuma
Practical approaches in ecotoxicological mixture risk assessment in
support of urgent policy questions
Martin Scholze
Uncertainty factors in standard setting – are mixture effects
covered?
Coffee break
General discussion – focus: can existing chemicals regulation
be modified to take account of mixtures effects?
Break-out group: Formulation of theses and summary
15:00
15:30
16:00
17:00
Here we are looking for volunteers with extreme stamina: Three to four participants are
wanted who are willing to take it upon themselves to distill the discussions so far into a
few theses/summary, to be presented the following day.
18:00
Drinks and dinner
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Friday, 30 January 2008
Session 5: Looking forward – what can/should be done?
9:30
Break-out group
Presentation of theses and summary
The break-out group will present their theses and summary for discussion and comment.
10:00
General discussion and conclusion
At this stage, this discussion is deliberately left a little unstructured, but the intention is to
reflect on the insights from a science perspective with practical steps for risk assessment
and regulation in mind.
10:30
10:45
12:30
14:00
15:30
Coffee break
General discussion (continued)
Lunch
General discussion (continued)
Andreas Kortenkamp
Summing up, conclusion, recommendation and outlook
Close
16:00
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Resources references
(in the order of the talks)
Michael Faust
Kortenkamp, A., Faust, M., Scholze, M., & Backhaus, T. 2007, "Low-level exposure to
multiple chemicals: reason for human health concerns?",
Environ.Health Perspect.,
vol.
115 Suppl 1, pp. 106-114.
Ulla Hass
Hass, U., Scholze, M., Christiansen, S., Dalgaard, M., Vinggaard, A. M., Axelstad, M.,
Metzdorff, S. B., & Kortenkamp, A. 2007, "Combined exposure to anti-androgens
exacerbates disruption of sexual differentiation in the rat",
Environ.Health Perspect.,
vol.
115 Suppl 1, pp. 122-128.
Metzdorff, S. B., Dalgaard, M., Christiansen, S., Axelstad, M., Hass, U., Kiersgaard, M.
K., Scholze, M., Kortenkamp, A., & Vinggaard, A. M. 2007, "Dysgenesis and
histological changes of genitals and perturbations of gene expression in male rats after in
utero exposure to antiandrogen mixtures",
Toxicological Sciences,
vol. 98, no. 1, pp. 87-
98.
Christiansen, S., M. Scholze, M. Axelstad, J. Boberg, A. Kortenkamp, & U. Hass. 2008.
Combined exposure to anti-androgens causes markedly increased frequencies of
hypospadias in the rat.
Int. J. Androl.
Vol 31, no 2, pp.241-248.
Andreas Kortenkamp
NRC, 2008. Phthalates Cumulative Risk Assessment – The Tasks Ahead. Committee on
Phthalates Health Risks, National Research Council, National Academy of Sciences,
Board on Environmental Science and Technology, National Academy Press, Washington,
DC.
Linda Teuschler
Teuschler, L.K. 2007, Deciding which chemical mixtures risk assessment methods work
best for what mixtures.
Toxicology and Applied Pharmacology,
vol 223, pp 139-147.
Kevin Crofton
Crofton, K. M., Craft, E. S., Hedge, J. M., Gennings, C., Simmons, J. E., Carchman, R.
A., Carter, W. H., & Devito, M. J. 2005, "Thyroid-hormone-disrupting chemicals:
Evidence for dose-dependent additivity or synergism",
Environmental Health
Perspectives,
vol. 113, no. 11, pp. 1549-1554.
29
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
Martin van den Berg
Van den Berg, M., Birnbaum, L.S., Denison, M., De Vito, M., Farland, W., Feeley, M.,
Fiedler, H., Hakansson, H., Hanberg, A., Haws, L., Rose, M., Safe, S., Schrenk, D.,
Tohyama, C., Tritscher, A., Tuomisto, J., Tysklind, M., Walker, N., & Peterson, R.E.,
2006. The 2005 World Health Organization Reevaluation of Human and Mammalian
Toxic Equivalency Factors for Dioxins and Dioxin-Like Compounds.
Toxicol. Sci.
vol
93 no. 2, pp 223–241
Andreas Kortenkamp
Kortenkamp, A. 2007, "Ten years of mixing cocktails: a review of combination effects of
endocrine-disrupting chemicals",
Environ.Health Perspect.,
vol. 115 Suppl 1, pp. 98-105.
Rolf Altenburger
US EPA, 1999. Guidance for Indentifying Pesticide Chemicals and Other Substances that
Have a Common Mechanism of Toxicity. Office of Pesticide Programs, US
Environmental Protection Agency, Washington, DC
US EPA 2006a. Cumulative Risk from Triazine Pesticides. Office of Pesticide Programs,
US Environmental Protection Agency, Washington, DC., March 2006
US EPA 2006b. Cumulative Risk from Chloroacetanilide Pesticides. Office of Pesticide
Programs, US Environmental Protection Agency, Washington, DC., March 2006
Henrik Tyle
VKM. 2008. Combined toxic effects of multiple chemical exposures. Opinion of the
Scientific Steering Committee of the Norwegian Scientific Committee for Food Safety.
Oslo. ISBN (printed version) 978-82-8082-232-1
Feron, V.J., van Vliet, P.W. & Notten, R.F., 2004. Exposure to combinations of
substances: a system for assessing health risks.
Environ Toxicol Pharmacol
vol 18, pp.
215-222.
There were no resources circulated for Leo Posthuma’s and Martin Scholze’s
presentations
30
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Expert workshop on combination effects of chemicals, Hornbæk, Denmark
List of Participants
Expert Workshop on Combinations Effects 28-30 January 2009
Name
USA
Linda Teuschler
Kevin Crofton
EU excl. DK
Martin van den Berg
Michael Faust
Affiliation
e-mail
U.S. EPA/NCEA-Cin
US EPA/RTC-NC
[email protected]
[email protected]
University of Utrecht, NL
[email protected]
Faust & Backhaus Environmental
[email protected]
Consulting, DE
University of London, UK
[email protected]
k
[email protected]
Martin Scholze
Leo Posthuma
National Institute for Public
Health and the Environment
(RIVM), NL
Helmholtz Centre for
Environmental Research – UFZ,
DE
Göteborg University, SE
European Chemicals Agency,
FIN
University of London, UK
Rolf Altenburger
[email protected]
Thomas Backhaus
(absent)
Gabriele Schöning
[email protected]
[email protected]
pa.eu
andreas.kortenkamp@pharmacy
.ac.uk
Andreas Kortenkamp
Scientific organiser
DK
Jens-Jørgen Larsen
Ulla Hass
Practical and co-scientific
organiser
National Food Institute, Danish
Technical University, DK
National Food Institute, Danish
Technical University, DK
[email protected]
[email protected]
31
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700786_0032.png
Expert workshop on combination effects of chemicals, Hornbæk, Denmark
Nina Cedergreen
University of Copenhagen, Dep.
of Agricultural Sciences, DK
Danish EPA, Chemicals
Division, DK
Danish EPA, Chemicals
Division, DK
Danish EPA, Chemicals
Division, DK
[email protected]
Henrik Tyle
[email protected]
Marie Louise Holmer
(attended the last day)
Pia Juul Nielsen
Workshop co-coordinator
[email protected]
[email protected]
Location:
Sauntehus slotshotel,
e-mail:
[email protected]
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