United States
                    Environmental Protection
                    Agency
 Health Effects
 Research Laboratory
 Research Triangle Park NC 27711
                    Research and Development
 EPA-600/S1-84-011 Sept  1984
&EPA         Project Summary
                    Use  of Short-Term  Genotoxic
                    Bioassays  in  the  Evaluation  of
                    Unregulated Automobile
                    Exhausts

                    David J. Brusick, R.R. Young, and D.R. Jagannath
                     The levels of several products of fuel
                    combustion in ambient air (nitrogen
                    oxides, hydrocarbons and carbon mon-
                    oxide) are currently regulated under the
                    Clean Air Act. Amendments ([202(a)(4|]
                    of 1977) also specify that new vehicles
                    shall not be certified if they generate
                    unregulated emissions which present a
                    potential risk to human  health.  In
                    addition. Section 211 of the Clean Air
                    Act as amended in 1977 specifies that
                    tests should be conducted to determine
                    the mutagenic and carcinogenic effects
                    (among  other health effects) of auto-
                    motive fuels and fuel additives and their
                    emissions.
                     The objectives of this document are
                    to review the data from selected short-
                    term in vitro and in vivo bioassays to (a)
                    determine if there is evidence sugges-
                    ting potential human health risk either
                    from uncombusted emissions or from
                    emissions of combusted motor vehicle
                    fuels or fuel additives, (b) identify the
                    operational variables involved in gener-
                    ating products of concern for  human
                    health,  (c) determine  the  probable
                    nature of the health effects of concern,
                    (d)  estimate the ability of short-term
                    tests to establish human risk estimates
                    and (e) develop a short-term bioassay
                    program to monitor the potential health
                    hazard  of  fuel/fuel  additives  and
                    unregulated combustion emissions.
                     This report was submitted in fulfill-
                    ment of  Contract No.  68-02-2681,
                    Technical Directive No. 008, by Litton
                    Bionetics, Inc., under the sponsorship
                    of the U.S. Environmental  Protection
                    Agency (EPA).
  This Project Summary was developed
by EPA's Health Effects Research
Laboratory, Research Triangle Park,
NC,  to announce key findings of the
research pro-ject which is fully docu-
mented in a separate report of the same
title (see project report ordering inform-
ation at back).

Introduction
  Automotive emission products from
complete or partial combustion of fuels
such as diesel fuel or gasoline are asso-
ciated with genotoxic activity. Most of the
genotoxic  effects are found in the solid-
phase (paniculate) fraction as mutagenic
and cell-transforming organic compounds
condensed onto the carbonaceous core of
the exhaust particle.
  Air pollutants include both gaseous
and solid phases. Gaseous-phase pollu-
tants include  carbon monoxide, ozone,
nitrogen oxides, sulfur oxides, hydrocar-
bons, and other volatile organic compounds
(e g., formaldehyde, benzene). The solid
phase contains condensed organic poly-
cyclic matter (POM) including polycyclic
aromatic hydrocarbons (PAHs) and sub-
stituted PAHs, which  are suspected of
contributing to a potential lung cancer
risk associated with long-term exposure
to urban air pollution.
  The possibility of human health risk from
motor vehicle emissions has  been  a
matter of  concern  for  many years,  and
there has been substantial research into
the  effects of emissions from  both
gasoline spark ignition and diesel engines
(1,2). Even with this data base, the extent
to which motor vehicle emissions con-

-------
tribute to human health problems is far
from  understood.  The complex interac-
tions between fuel (and its additives) and
gases in the combustion chamber, envi-
ronmental exposure conditions, and bio-
logy of the target species must be investi-
gated in order to apply most conventional
hazard assessment methods.
  The  objective of  this report was to
summarize the current status of research
on  unregulated automobile emissions
using short-term  tests for  genotoxicity
and to develop an  approach for  the
application of these tests to the develop-
ment of regulatory strategy. Based on the
results of extensive  studies with  pure
chemicals, short-term genetic tests are
believed to be reliable quantitative indica-
tors of carcinogenic  and mutagenic
potential. Thus, such  tests should be
useful in addressing the concern for
carcinogenic effects.
Current Status of the
Application of Genetic Assays
to Studies of Motor Vehicle
Emissions
  Many of the characteristics of short-
term tests measuring genotoxicity appear
ideally suited to an analysis of automobile
exhaust emissions; in fact, the  current
level of information available on the bio-
logical properties and possible health
risks  associated  with  particulate emis-
sions has been  accumulated  largely
using short-term test data. Certainly, the
conduct of multi-dose experiments using
relatively  small  quantities  of particles
collected from exhaust emissions  was
one  of the  true breakthroughs  in the
evaluation  of motor vehicle emissions.
Many attributes of short-term tests are
important to the application of these tests
and are summarized in the full report. The
importance of  the ability to  conduct
assays of very small samples cannot be
overemphasized, since spark-ignition
gasoline engines equipped with catalytic
converters produce very  low levels of
particulate. Without short-term  assays,
valid comparisons of these samples with
those of other emissions would  not be
possible


Application of Short-Term
Bioassays to  Risk Assessment
of Automobile Emissions
   Much of the data predicting qualitative
hazard have been derived from short-
term, especially//? vitro, assays, because
they have been found to be readily appli-
cable to an evaluation of the solid-phase
emissions. Risk analysis must draw upon
all data available. Quantitative estimates
developed for automobile exhaust emis-
sions by the U.S. Environmental Protec-
tion  Agency (EPA) and  the  National
Academy of  Sciences (NAS) have relied
heavily upon comparative data obtained
from in  vitro assays for genotoxicity and
short-term animal  tests (1,3).  Both ap-
proaches  have been  drawn upon  the
available bodies of short-term data  and
made comparative analyses of laboratory
and epidemiological data on diesel  and
gasoline engines as well  as chemically
related  environmental exposures—coke
oven emissions,  roofing tar emissions,
and cigarette smoke condensate (CSC).
  Both  the EPA  and the NAS  risk
estimates  included analyses of  short-
term test results in terms of a linear, non-
threshold, extrapolation model.  The
potency response of all sample emissions
evaluated  in the  short-term bioassays
was compared using linear extrapolation
models. Relative potencies  for  gasoline
and diesel emissions were then compared
to those for  coke oven, roofing tar,  and
cigarette smoke condensate. Assuming
comparability between relative potency
for the diesel emissions and the  model
emissions (coke oven  or roofing  tar), a
relative  potency value for humans  was
constructed  using  human  lung cancer
data  from coke oven workers and roofers.
  The estimate for risk of  lung cancer
from exposure to diesel exhaust emissions
was  derived from the ratio of short-term
test activities between the two emissions
and  extrapolating that ratio to  the
incidence of human lung cancers for the
two  exposures after adjusting for dose.
The calculated risks were quite  similar
  In summary, short-term tests for geno-
toxicity  are  amenable to use in human
risk  estimates in situations where
conventional animal modeling or human
epidemiology results cannot be obtained.
An evaluation of  two  approaches  con-
ducted  by EPA and NAS  shows similar
quantitative risk  estimates for  diesel
exhaust emissions. These two values are
also  similar  to a worst-case estimate for
lung cancer in humans derived from
negative  epidemiological data.  Risk
estimation for heritable genetic  effects
cannot be derived from the available data.
Review of Bioassay
Performance on Emission
Samples
  Review of the bioassay data is arranged
by the type of toxic endpoint  measured
and is  subdivided into mammalian in
vivo tests and in vitro mammalian/sub-
mammalian tests. Table 1 outlines the
stratification of endpoints included in this
evaluation.
  An evaluation of data from the bioassay
data base was examined  using the
procedure outlined in Figure 1. The end
product of this procedure was selection of
a battery of  tests amenable to routine
evaluation of emissions.
Sample Collection and
Preparation
  Analysis  of the published literature
was presented and recommendations
were made regarding collection  and
preparation of  samples  for  genetic
testing.
  The full report suggested that a com-
panion engineering document be  pre-
pared to establish specific test conditions
for engine operation and emission collec-
tion.
  Use of particle extracts in formulating
comparisons of various engines, fuels, or
fuel additives is considered appropriate,
since most biological activity of the
emissions appears to be associated with
the particle-bound organics and suitable
methods for gas phase or whole particle
testing are  not ready for routine applica-
tion.
Selection of Bioassays to Form
a Minimum Evaluation Matrix
  Objective analysis of the current data
base for automobile combustion emis-
sions  and test performance criteria  re-
sulted in the selection of three bioassay
types which appear to merit further con-
sideration  as  screens  for automotive
emission certification. The Ames Sa/mo-
ne//a/microsome reverse mutation assay
appears to be useful. Cytogenetic end-
points,  especially sister chromatid ex-
change (SCE), showed very good sensiti-
vity to the genotoxic components of auto-
motive emissions. An in vitro mammalian
cell gene mutation assay, especially the
Mouse Lymphoma assay, is the third test
considered applicable to emission screen-
ing, because it responded in a quantita-
tive fashion to organic  solvent extracts
and in some cases to whole unextracted
particles. Some of the information used to
support the selection of these three tests
is shown in Table 2, which identifies the
range of susceptibilities of various bioas-
says to the types of samples evaluated.

-------
 Table 1.    Stratification of Bioassay Endpoints Reviewed
Genotoxic Effects
A. Specific Locus Mutation in Prokaryotic and Eukaryotic Organisms

B. Chromosome Alterations (Including Aberrations, Sister ChromatidExchange, andAneuploidy)

C. Damage of the Primary DNA Level in Mammalian Cells In vivo and In vitro /Including DNA
   Adduct Formation, DNA Repair Phenomena, Mitotic Crossing Over)

Cell Transformation and/or Tumor Induction

A. In vitro Cell Transformation in Mouse Cell Lines and Hamster Primary Cells

B Short-Term Tumor Induction Assays in Mice

C. Long-Term Tumor Induction Assays in Rodent Species

D. Co-Carcinogenesis Studies in Rodents
                 Step
        Collect, collate and review
         available bioassay data.
      Analyze each data element in a
       response matrix organized by
       end point. Extract qualitative
   response, dose range, test conditions,
   sample source and quantitative effects.
        Summarize all qualitative
     responses /Positive and Negative).
      Compare sample type, sample
     source and quantitative response
              by assays.
       Identify bioassays capabale of
     detecting genotoxic/carcinogenic
      effect of automotive emissions.
          Critique all bioassays
      producing positive responses.
Approach to Emission Testing
for Comparisons of Biological
Activity

  The procedures described m the full
report attempt to satisfy the need for data
comparisons. To be useful, a description
of biological activity must include an
estimate  of the  specific activity  of  a
sample in each bioassay employed. For
the  three tests  recommended as  the
battery, the linear slope of the dose-
response curve, expressed as revertants/
ug,  SCE/cells/jug/ml, and revertant
mutant frequency//yg/ml,  has been
selected. The specific activity should then
be  adjusted to an  estimate  of particle
potency  by  determining the  level  of
organic extractability (percent extractable)
from the  material  collected.  The final
calculation should consider the particle
potency vs.  the  particle emission  rate
(PER).  The following  formula gives  the
relationship among these  factors in
developing a Sample Activity Rate (SAR):
  The determination of samples that had
significant biological activity employed an
analysis of variance which compared the
experimental means (using a .05 level of
significance) for each  sample  in  each
bioassay. Several methods may be used to
ask the  question of how to identify the
outliers among the samples. For example,
it is  possible  to group samples  using
various statistical methods and find those
tests  which differ significantly from the
remaining tests.
  Several conclusions can be made
based  on analysis  of a pilot set of
samples,
  1. Comparisons between nonactivated
    and 59-activated tests indicated
    that the set of samples studied in S9
    had no effect on the responses.
  2. The biological  activities  calculated
    for  the emission samples  did not
    appear to follow similar patterns in
    the three tests.
  3. Among the three tests,  the Ames
    assay was the most discriminating for
    this set of emission samples. It is
    possible, however, that greater use
    of replicate trials in the mammalian
    cell assays  would  increase their
    discriminating properties.
  4. As a consequence of the analysis of
    this pilot data,  it would appear that
    replication of sample collection,
    analysis,  and biological  testing is
    essential. Recommendations for
    replication of these components of
    the  proposed scheme  are shown in
    Table 3. By performing independent
    trials,  the variability  arising from
    replicating the collection and extrac-
    tion procedures as well as bioassay
    techniques are important data com-
    ponents. Claxtoh and Kohan showed
    that there  are  small but consistent
    variances resulting from  sample
    preparation differences (4).
Conclusions
 1. Bioactive chemicals that exist  in
    vapor and solid-phase exhaust emis-
      Review distribution of positive
        bioassay responses across
             sample types.
        Select candidate bioassays
      for use in emission screening.
Figure 1.    Bioassay data evaluation matrix.
  Genetic Activity
    jjg organics

         t

       Slope
  (Specific Activity)
                                                                  fjg organics
      particles    _   Genetic Activity
                                                                100//g particles
                                                                 % Extractables
  kilometer (km)

        t

  Particle Emis-
 sion Rate (PER)
      km

       t

Sample Activity
  Rate (SAR)
            Particle Potency

-------
Table 2,   Distribution of Responses in Susceptible Bioassays Across Sample Categories
     B/oassays
                                        Organic Solvent
                                          Extracts of
                                           Particles
                Biological Fluid
                  Extracts of
                   Particles
Unextracted
 Particles
Vapor Phase
   Alone
 Whole
Exhaust
Gene Mutation

• Microbial
• Mammalian Cells in vitro
• Plants
• Insects
• Mammals in vivo
Cytogenetic Endpomts
• Mammalian Cells in vitro
• Plants
• Mammals in vivo
Primary DNA Effects
• In vitro Mammalian
• In vivo/in vitro Mammalian
Carcinogenesis Endpoints
• Mammalian Cells in vitro
• In vivo Mammals (complete)
• In vivo Initiation
• In vivo Co-carcinogenesis
                                              V
V
V
                                              ^
                                                                                        V
                                     ^
                                                                                                            x/
                                                                           x/
(\l) - data consist of limited experimentation that may not apply to all bioassays of this class.
 Table 3.

 Step*
           Composition and Logistics of an Emission Assessment

                                     Trial A"
                                                Trial 5"
                                Particle Collection
                                  from Filters(s)
                                        I

                              Extraction of Organics
                                        1
                                    Bioassay
                                        1
                                                                                         Particle Collection
                                                                                           from Filters(s)
                                                                                                 1

                                                                                       Extraction of Organics
                                                                                                 1
                                                                                             Bioassay
                                                                                                 1

3
4
1
Ames Test
Conducted with
Triplicate
Plates/Dose

{
Mouse Lymphoma
Assay Conducted
with Duplicate
Cultures
Data Analysis
1
SCE Assay
Conducted with
Duplicate
Cultures

1
Ames Test
Conducted with
Triplicate
Plates/Dose

1
Mouse Lymphoma
Assay Conducted
with Duplicate
Cultures
Data Analysis
1
SCf Assay
Conducted with
Duplicate
Cultures

"Step 1 - Independent trials for determination of Particle Emission Rate (PER).
 Step 2 - Independent trials to measure percent extractables.
 Step 3 - Replicate data within independent trials for each of the three bioassays.
 Step 4 - Data analysis and comparison with other emission samples.
^Definition of independent trials A and B has not been made. Trials may be different runs on the same day or different runs on two days. The total
 paniculate required per trial is approximately 0.5 g.
    sions are generated by combustion
    and are believed to be derived from
    mono-  or poly-substituted PAHs or
    nitroaromatics that can be activated
    to  genotoxic  agents by bacteria or
    animal cells (such as liver cells or
    macrophages).
    Mutagens are bound to particles but
    can be extracted, to various degrees,
    with organic solvents and  biological
    fluids.  Thus,  one  can expect some
    level of bioavailability.
                                             3. The levels and composition of chemi-
                                               cals found in emissions may vary
                                               significantly with engine types, fuel
                                               types, operating conditions, control
                                               devices, and environmental condi-
                                               tions of collection.
                                             4. An efficient  screening program to
                                               compare  quantitative  variations in
                                               one of the  above  parameters (by
                                               holding all other  parameters  con-
                                               stant) can be accomplished using a
                                               series  of short-term  in  vitro  tests;
                                             however, the assessment cannot be
                                             conducted  on whole-emission col-
                                             lections; rather, it requires a standard
                                             sample collection and  processing
                                             protocol  for  the  preparation of
                                             organic compounds recovered from
                                             the solid phase.
                                             A uniform data interpretation scheme
                                             has  been defined in  which the
                                             relative biological  activity  of each
                                             bioassay can be quantitatively com-
                                             pared  to an  existing  data  base

-------
    developed from similar engines,
    fuels, or fuel additives. Samples that
    show statistically significant devia-
    tions from the data base can be inter-
    pretated as a signal that an engine,
    fuel, or fuel additive might warrant
    further investigation for  possible
    health impact.

  The  proposed  approach  should be
adequate  for making quantitative com-
parisons  of the  biological  activity  of
emissions generated by different engines
or fuels under standardized running and
collection protocols and  for identifying
reponses which fall outside the normal
range of engines, fuels, or fuel additives.
The results will not be suitable for use in
quantifying the absolute health risk  of
emissions because of the many uncer-
tainties associated with bioavailability
and dosimetry of emissions to hetero-
geneous  human  populations  under
normal exposure conditions and the lack
of formal linkages between the responses
in short-term tests and human disorders.
D. Brusick, R. Young, andD. Jagannathare with Litton Bionetics, Inc., Kensington,
  MD 20895.
Joellen Lewtas is the EPA Project Officer (see below).
The complete report, entitled "Use of Short-Term Genotoxic Bioassays in the
  Evaluation of Unregulated Automobile Exhausts," (Order No. PB 84-226 976;
  Cost: $14.50, subject to change) will be available only from:
        National Technical Information Service
        5285 Port Royal Road
        Springfield, VA 22161
        Telephone: 703-487-4650
The EPA Project Officer can be contacted at:
        Health Effects Research Laboratory
        U.S. Environmental Protection Agency
        Research Triangle Park, NC 27711
References
 1. National  Research  Council. Health
    Effects of Exposure to Diesel Exhaust.
    National Academy Press, Washing-
    ton, DC, 1981.
 2. U.S.  EPA, Office of Research  and
    Development. Diesel Emissions Sym-
    posium Proceedings. A Compendium
    of Manuscripts from the Symposium
    held in Raleigh, North Carolina,
    1981.
 3. Albert, R.E., J.  Lewtas,  S. Nesnow,
    T.W. Thorslund, and E. Anderson. A
    comparative potency method for
    cancer risk assessment: application
    to diesel  particulate emission. Risk
    Analysis, 3-101-117, 1983.
 4. Claxton, L. and M. Kohan. Bacterial
    mutagenesis and the evaluation of
    mobile-source emissions. In: Short-
    Term Bioassays in  the  Analysis of
    Complex Environmental Mixtures II,
    M.D. Waters, S.S. Sandhu, J. Lewtas
    Huisingh, L. Claxton,  S.  Nesnow,
    eds.. Plenum Publishing Corp., 1981,
    pp 229-317.
                                                                         S. GOVERNMENT PRINTING OFFICE: 1984/759-102/10687

-------
United States
Environmental Protection
Agency
  Center for Environmental Research
  Information
  Cincinnati OH 45268
Official Business
Penalty for Private Use $300
•  r.' -, i  ''
t i  »  ::
t- * I, u -- i. '
                                                            K.V  o 1 rcr
                                                            \J 15 I i 14

-------