Exposure Assessment Methods (Past Initiative)
The National Cancer Institute (NCI) and National Institute of Environmental
Health Sciences (NIEHS) are cofunding 11 research projects in response
to a Request
for Applications (RFA) issued to invite proposals to develop exposure
assessment methods applicable to epidemiologic research on cancer. This
initiative is to stimulate interdisciplinary research to develop, test,
validate, and compare technology, methods, and biomarkers that could provide
accurate estimates of retrospective and current environmental exposures
(for example, chemical and physical substances) relevant to cancer development.
The grants, which were awarded in September 2001, are
for:
- Biomarkers of Carcinogen Exposure and Oxidative Injury
David Christiani, Harvard School of Public Health
- Historic Traffic Exposure Maps for Cancer Studies
Paul English, California Department of Health Services
- Quantifying the Impact of Diet on Carcinogen Exposure
James Felton, University of California Lawrence Livermore National Laboratory
- Technology for DNA Damage Analysis and Biomarkers
X.C. Le, University of Alberta
- Exposure to Beef Growth Promoter in Breast Cancer
Young Lin, Ohio State University
- Passive PAH and Micro-camera Personal Monitoring System
Paul Lioy, University of Medicine and Dentistry of New Jersey-Rutgers
University
- Retrospective Assessment of Mixed Chemical Exposures
Gurumurthy Ramachandran, University of Minnesota
- Carcinogen Metabolism Enzyme Expression in Buccal Cells
Simon Spivack, Wadsworth Center/New York State Department of Health
- Validation of Fumonisin and Microcystin Biomarkers
Jia-Sheng Wang, Texas Tech University System
- Validation of Indirect Pesticide Exposure Estimates
Timothy Wilcosky, Research Triangle Institute
- Validation of PAH Biomarkers for Quantifying Cancer
Risk
Junfeng Zhang, University of Medicine and Dentistry of New Jersey-Rutgers
University
Biomarkers of Carcinogen Exposure and Oxidative Injury
David Christiani, M.D., M.P.H., M.S.
Harvard School of Public Health
Boston, Mass.
Cancer is the second leading cause of death in the United States after
heart disease. The great majority of cancers are believed to be preventable
because they are due to known environmental factors that influence their
incidence. Air pollution, which is predominantly composed of particulates
including polycyclic aromatic hydrocarbons (PAH) and metals, is known
to contain significant levels of reactive oxygen species (ROS) that can
lead to deleterious effects within a normal cell. Continued and repeated
exposure to ROS (as seen in occupational exposures) leads to oxidative
injury within a cell that can directly affect DNA, cell signaling and
growth, and the induction of mitosis, and can initiate the multistep cascade
of carcinogenesis.
Previous epidemiologic studies have demonstrated increased cancer incidence
among workers exposed to particulates that contain PAHs and metals. David
Christiani, M.D., M..P.H., M.S., and colleagues are using a repeated measures,
short-term prospective approach to study exposure to such particulates
and their relationship to oxidative injury biomarkers as intermediate
factors in development of cancer in a cohort of occupationally exposed
individuals.
The research addresses important gaps in our knowledge of epidemiologic
exposure assessment and provides the opportunity to characterize both
biologic markers of exposure (1-hydroxypyrene, mononuclear PAH-DNA adducts,
urinary metals and urinary 7,8-dihydro-2'- deoxyguanosine;8-OH-dG) and
biomarkers of early environmental carcinogen damage (PAH-DNA adducts,
urinary 8-OH-dG).
Specifically, the research will characterize and quantify exposures and
exposed populations through evaluation of several biomarkers that are
collected simultaneously in surrogate tissue (blood DNA adducts, urinary
metals, urinary 8-OH-dG and urinary 1- hydroxypyrene). A better understanding
of these risks will lead to improved strategies for cancer prevention.
Historic Traffic Exposure Maps for Cancer Studies
Paul English, Ph.D., M.P.H.
Environmental Health Investigations Branch
California Department of Health Services, Oakland, Calif.
Exposure to traffic exhaust is common in urban areas, and its components
have been found to be associated with lung cancer and leukemia in epidemiological
studies. Determining whether these associations are causal in nature has
been especially limited by the lack of historical individual-level exposure
data.
Recently, there have been calls for the development of exposure maps
showing modeled concentrations of ambient air pollution using geographic
information systems (GIS) to investigate long-term health effects. A study
subject's residence can be a good predictor of exposure if suitably modeled
levels of air pollution are achieved at a proper spatial scale. Modeling
of air pollution typically has been done either at a regional (air basin)
or localized level. The regional approach results in coarse exposure maps
that lack the spatial resolution needed for epidemiological studies and
can result in exposure misclassification. The localized models achieve
a proper spatial scale but require complex data inputs and are too data
intensive for mapping exposure over wide areas.
Paul English, Ph.D., M.P.H., and colleagues previously developed GIS
traffic exposure maps at an appropriate scale for epidemiological studies
that account for properties of wind and dispersal behavior of specific
pollutants. In this research project, they are further developing this
model by accounting for the surface texture of the landscape using GIS
land use layers.
They also are evaluating and validating this model and several other
models of external exhaust exposure in one California County with nitrogen
dioxide (NO2) field measurements using
passive diffusion tubes. The predicted exposure level from each model
to actual NO2 concentrations at each monitored
location will be compared. The researchers will assess the amount of bias
due to exposure misclassification for each model by geocoding the addresses
of lung cancer cases from the California Cancer Registry and a random
control series, and comparing the predicted and observed NO2
measurements. They will evaluate and validate this model and several other
models of traffic exhaust exposure.
A series of historic traffic exhaust exposure maps will be developed
using the best-evaluated traffic model and retrospective data on traffic
counts, land use, meteorology, point sources, and ambient air monitoring
data. The resulting exposure maps then may be applied to existing cohorts
of study subjects to assign previous exposures and dramatically reduce
the time and cost of expensive prospective studies of traffic exhaust
exposure and cancer risk.
Quantifying the Impact of Diet on Carcinogen Exposure
James Felton, Ph.D.
University of California Lawrence Livermore National Laboratory
Livermore, Calif.
Epidemiologic and animal studies have shown that diet plays a role in
the etiology of human cancer. Cooked muscle meats contain potent mutagens
and rodent carcinogens belonging to the heterocyclic amine (HA) class
of compounds. Based on analyses of cooked meats, humans are exposed to
HAs at levels that may exceed a hundred parts-per-billion. Although it
is possible to reliably measure the amount of HAs present in cooked meats,
quantification of the biologically effective dose of these compounds is
currently limited by imperfect understanding of the effects of individual
physiology and the interactions of these carcinogens with other foods
in the diet.
James Felton, Ph.D., and colleagues are developing an exposure assessment
method that will predict the effect of digestion parameters, intestinal
transport and diet upon the low-dose exposure to commonly ingested food
carcinogens. The aims are to:
- develop an in vitro digestion procedure to estimate the bioavailability
of the four most commonly occurring HAs;
- determine the absorption of the carcinogens from the digestates using
the human colon carcinoma cell line Caco2, a commonly used model for
intestinal absorption;
- determine the effects of single and multiple food interactions on
carcinogen bioavailability in a controlled environment; and
- determine the biologically effective dose of these compounds in humans
and validate the in vitro method.
Cooked meats will be digested in the laboratory, and HAs that are made
available from the meat matrix will be measured using the HPLC method
for measuring Has in food. The laboratory digestates will then be coupled
to Caco-2 intestinal cells to measure transport across the intestinal
cell wall. Using this method, the effect of other foods on HA bioavailability
will be determined by digesting the meat concurrently with vegetables,
fruits, liquids, carbohydrates, and fats.
The results of the laboratory study will be compared to two human studies
to validate the method. There presently is no accurate way to determine
bioavailability of HAs. The in vitro method proposed in this study could
provide valuable insight into the dietary interactions that modulate the
bioavailability of these compounds.
These experiments also will provide a basis for more accurate exposure
measurements for epidemiological investigations of diet and cancer. Better
estimates of the bioavailable dose of these food carcinogens and an understanding
of how other foods affect bioavailability will make it possible to devise
strategies that could potentially reduce exposure levels. Because the
results will be based upon interactions of common foods, they can be easily
conveyed to the public. Once the impact of dietary factors is understood,
then it will be possible to emphasize prevention strategies that will
eliminate or modify risk for cancer.
Technology for DNA Damage Analysis and Biomarkers
X.C. Le, Ph.D.
University of Alberta
Edmonton, Canada
Characterization of environmental determinants of cancer is an important
goal for development of effective public health strategies for cancer
prevention and control. Informative epidemiological investigations of
relationships between the environment and cancer rely on accurate, quantifiable
exposure measurements. In traditional population surveys that attempt
to link a substance with cancer occurrence, exposure data often is obtained
indirectly by questionnaires or personal interviews. The uncertainty associated
with errors in exposure assessment has obscured or limited identification
of cancer etiologies. Rather than the current reliance on external dose
estimation and extrapolation from high-dose exposure with rodent models,
sufficiently sensitive biomarkers based on DNA damage measurements could
permit more realistic assessment of environmental risk.
X.C. Le, Ph.D., and colleagues are working to develop innovative, cost-effective,
and reliable technology for quantifying exposures, especially low-level
exposures. They aim to develop highly sensitive technology for measuring
minute amounts of DNA damage, and improve biomarkers for epidemiological
investigations of environment and cancer relationships. The technology
combines the specificity of antibodies and capillary electrophoresis separation
with the high sensitivity of laser-induced fluorescence detection.
In addition, specific DNA-recognition proteins will be used to bind with
various DNA lesions to detect a range of DNA lesions. Automated and high
throughput assay formats will be explored that make use of the high-sensitivity
technology. The sensitive DNA damage measurements will be used as potential
biomarkers for exposure assessment. The technology also will be useful
to monitor DNA damage induced by anticancer agents and to study DNA repair,
which is an essential protection mechanism against cancer initiation.
Exposure to Beef Growth Promoter in Breast Cancer
Young C. Lin, D.V.M., Ph.D.
Ohio State University
College of Veterinary Medicine
Laboratory of Reproductive and Molecular Endocrinology
Columbus, Ohio
The laboratory-based study is to develop an assay system to detect and
measure low levels of Zeranol, a nonsteroidal agent with estrogenic activity,
used as a growth promoter in U.S. beef and veal industries. This project
is an initial effort to develop an accurate method to quantitate Zeranol
in human specimens (e.g., breast tissue, serum, and urine) and in beef
products.
Although there has been no evidence or reports of breast cancer linked
with meat additives such as Zeranol, laboratory experiments previously
conducted by Young C. Lin, D.V.M., Ph.D., and colleagues have noted estrogenic
activity of the agent in breast cell and tissue cultures. They hypothesize
that the proposed laboratory assay could potentially quantitate how much
estrogenic activity, currently unknown, is correlated with measured levels
of Zeranol in beef products available in supermarkets.
The researchers further anticipate that the assay will be able to contribute
significantly toward answering the question about suspected environmental
causes of breast cancer. For instance, since breast cancer is a hormone-related
malignancy and appears to be associated with estrogen, knowing the amount
of exposure to estrogenic substances such as Zeranol will allow future
investigators to determine whether there is any association betweeen the
agent and risk for breast cancer.
The aims are to:
- investigate relationships among beef consumption, levels of Zeranol
in breast, serum, and urine, and breast cancer in patients of The Ohio
State University Hospital;
- measure Zeranol levels in commercially available beef products purchased
in supermarkets from 5 different regions across the United States;
- utilize established in vitro model systems to confirm the presence
of biological activity (mitogenic activity; altered expression of mechanism-based
molecular biomarkers) in specimens from human subjects and commercial
beef products in which Zeranol levels were detected; and
- after the assay system has been validated in human specimens, possible
relationships will be investigated among beef consumption, levels of
Zeranol in breast, serum, and urine, and breast cancer in patients of
The Ohio State University Hospital.
Passive PAH and Micro-camera Personal Monitoring System
Paul Lioy, Ph.D.
University of Medicine and Dentistry of New Jersey-Rutgers University
Environmental and Occupational Health Sciences Institute
Piscataway, N.J.
Paul Lioy, Ph.D, and colleagues are developing a new, sensitive diffusion
(or passive) sampler and coupling its use to a miniaturized personal portable
video camera system (MPPVCS) for measurement and assessment of personal
exposure to carcinogenic organics in personal air. The research project
will:
- determine the sampling rate under different sampling conditions (different
air concentration, sampling duration, temperature, humidity, and face
velocity);
- evaluate the performance of the sampler in side-by-side comparisons
with proven active sampling method;
- evaluate the ability of subjects to successfully wear and manage battery
and tape changes; and
- evaluate the combined effectiveness of the sampler and MPPVCS to capture
information about volunteer personal exposures to carcinogenic organics.
The new passive sampler consists of a denuder, which is made from 10
0.2-cm (or 2-cm) sections of a multicapillary gas chromatography (GC)
column (900 of 40-micrometer internal diameter). Due to the high value
of diffusive area (inner cylindrical surface) to diffusive path length
(the radius of the each column), the sampling rate will be about 1000
times higher than the traditional badge or tube-type diffusive samplers.
The denuder-type geometry will allow constant sampling rates in a wide
range of sampling conditions.
Also, the stationary phase of the capillary column allows direct thermal
desorption of analytes to an analytical instrument, which avoids dilution
of the sample by solvent and increases the sensitivity by a factor of
100. The sampler can be used repeatedly without any regeneration process.
The sampler is light (<1 g), small (11.5 mm in diameter and 2 mm or
2 cm in length), and easy for a person to carry.
During the exposure session, a lightweight, unobtrusive MPPVCS will be
attached to each study participant in order to obtain real time information
about proximity to sources of carcinogenic organics and the individual's
activities at a given period of time. The MPPVCS weighs less than one
pound and can be comfortably worn. Use of MPPVCSs can reduce the costs
and burden associated with having a videographer track the individual,
reduce the burden associated with having study participants complete questionnaires
and time/activity diaries, and avoid information loss from failure to
complete questionnaires or the study participants being unaware of activities
and the environment.
In summary, the researchers are developing and validating a sensitive,
simple, and cost-effective technique to directly measure personal exposure
to carcinogenic organics. Joint use of the new diffusive sampler and MPPVCS
will capture both the levels of exposure and the locations of exposure,
and possible sources. This combined approach will improve the accuracy
of community or residential assessments of personal exposure to carcinogens
for prospective epidemiological studies, and provide improved characterization
of exposure for risk assessments.
Retrospective Assessment of Mixed Chemical Exposures
Gurumurthy Ramachandran, Ph.D.
University of Minnesota
Division of Environmental and Occupational Health
Minneapolis, Minn.
Misclassification of exposure is a persistent source of bias in epidemiologic
studies of occupational cancer. This occurs because:
- exposure reconstructions are typically based on sparse data with
significant uncertainty;
- biologically relevant doses are not estimated (for example, for exposures
to inhaled dusts, the cumulative lung burdens of the worker do not account
for retention and clearance of inhaled dusts); and
- exposures to multiple chemicals are not taken into account.
Gurumurthy Ramachandran, Ph.D., and colleagues are developing an improved
exposure and dose assessment method for epidemiologic research on occupational
cancer that accounts for the uncertainties in exposure reconstruction
due to sparse data, determinants of etiologically relevant dose, and exposures
to multiple chemicals, using a Bayesian probabilistic framework.
The methodology will be developed and demonstrated using a large occupational
exposure dataset (1950-2000), from Falconbridge Ltd., Sudbury, Ontario,
which is one of the world's leading primary nickel production companies.
Workers at the company historically have been exposed to several nickel
species (oxidic, sulfitic, and soluble), diesel particulate matter, and
silica -- all of which are proven or suspected human lung carcinogens.
A novel Bayesian methodology that synthesizes expert judgment and historical
measurements is being developed for exposure reconstruction. The exposure
reconstruction will incorporate retention and clearance models for estimating
the cumulative lung dose of oxidic, sulfitic, and soluble nickel species,
diesel particulate matter, and airborne silica. The exposure reconstruction
then will be available for a planned epidemiologic case-control study
of lung cancer among the Falconbridge employees. The methods also will
be applicable to other industry-based epidemiologic studies where available
data are sparse and exposures to chemical mixtures are the norm.
Carcinogen Metabolism Enzyme Expression in Buccal Cells
Simon Spivack, M.D.
New York State Department of Health
Wadsworth Center
Albany, N.Y.
Simon Spivack, M.D., M.P.H., and colleagues are evaluating the validity
of testing for gene expression in buccal cells as a way to accurately
reflect gene expression in human lung tissue when both are exposed to
tobacco smoke, as occurs in smokers. Previous studies of coding sequence
polymorphisms in these genes have presented very mixed results as to whether
they confer risk for lung cancer. The parallel induction of genes encoding
carcinogen-metabolizing enzymes simultaneously in both the lung and an
easily accessible surrogate tissue (buccal cells), suggests the possibility
of being able to expression phenotype smokers for bioactivating gene inducibility.
If this carcinogen metabolism pathway is relevant to lung cancer susceptibility,
then a high phase I- and low phase II-enzyme inducibility phenotype might
be hypothesized to confer risk for lung cancer. The power of studies on
carcinogen-metabolizing gene induction in lung cancer to date has been
limited by the number of study participants enrolled and short supply
of suitable, quality human lung tissue for expression or activity assays.
This study takes advantage of newly developed real-time methods for
quantifying gene expression in appropriate, smoke-exposed epithelium,
and compares that expression to that in precisely-defined microdissected
smoke-exposed human lung epithelia.
The aims are to:
- develop quantitative real-time RT-PCR assays for the evaluation of
gene expression of a panel of carcinogen metabolizing enzymes in buccal
mucosa, including Ahr, ER, CYP1B1, CYP1A1, GSTM1, GSTM3, GSTP1, GSTT1,
NQO1;
- compare the gene expression in buccal mucosa to simultaneously sampled
plasma assayed for nicotine and cotinine by state-of-the-art LC-MS-MS
techniques;
- quantitatively compare the expression of carcinogen metabolizing enzyme
genes from in situ tobacco-exposed human buccal mucosal cells with that
from microdissected human lung bronchial and alveolar epithelial cells
also exposed in situ; and
- measure the variability of this buccal cell carcinogen-metabolizing
gene expression across individuals, accounting for expression confounders
such as tobacco smoke exposure and dietary constituents, and thereby
identify phase I and phase II high or low expressers.
The long-term goal is to develop a panel of biomarkers in an easily accessible,
smoke-exposed epithelium that identifies smokers at high-risk for lung
cancer, and thereby allows smoking-cessation, chemoprevention, and early-disease
detection strategies to be focused on those individuals who are most susceptible.
Validation of Fumonisin and Microcystin Biomarkers
Jia-Sheng Wang, M.D., Ph.D.,
Texas Tech University System
Lubbock, Texas
The long-term goal of this research project is to study relationships
between exposure to fumonisins and microcystins and human liver and esophageal
cancer risks in high-risk populations. Fumonisins and microcystins are
recently identified environmental biotoxins that are produced by toxicogenic
fungi and cyanobacteria, respectively. Fumonisins are carcinogens, and
both fumonisins and microcystins are strong tumor promoters in animal
models.
Human populations in certain areas of world are exposed to higher levels
of these toxins in their daily life mainly through contaminated dietary
components and/or drinking water. Both toxins have been etiologically
linked to high incidence of human primary liver and esophageal cancer
in several areas of South Africa and China. Although analytical methods
for detecting these toxins in environmental samples have been reported
and potential biomarkers, such as disruption of sphingolipids metabolism
by fumonisins and inhibition of protein phosphatases by microcystins,
have been found in animal models, validation of these biomarkers in humans,
especially in high-risk populations, has not been done or reported.
To date, methods are lacking for simultaneous detection of these toxins
in environmental samples and in human body fluids. This is critical, however,
for assessment of human cancer risks because coexposure to these biotoxins
has been widely reported in high-risk populations.
Jia-Sheng Wang, M.D., Ph.D., and colleagues are developing and validating
analytical array methods to simultaneously measure these biotoxins in
both environmental samples and human body fluids. The researchers are
using molecular epidemiological tools to validate methods for biomarkers
in body fluids of cases of primary liver cancer and esophageal cancer
and controls. The working hypothesis underlying this research is that
long-term exposure to fumonisins and microcystins may induce synergistic
carcinogenic effects in high-risk individuals, and application of validated
biomarkers can improve the quantitative estimation of human cancer risk
from exposure to these biotoxins.
The aims are to:
- develop rapid and sensitive analytical array method(s) for measuring
fumonisin and microcystin biomarkers based on a previously developed
immunoaffinity-HPLC method for aflatoxins and/or HPLC-enzyme-linked
immunosorbent assay for microcystins;
- validate method(s) for measuring biomarkers of microcystins and fumonisins
in food, water, and body fluids such as blood and urine samples collected
from two one-week longitudinal biomonitoring studies in study participants
from high-risk areas for primary liver and esophageal cancer; and
- perform molecular epidemiologic studies in two high-risk populations
of primary liver cancer and esophageal cancer in Qidong and Huaian,
China, to explore cancer risks from exposures to fumonisins and microcystins.
Validation of Indirect Pesticide Exposure Estimates
Timothy Wilcosky, Ph.D.
Research Triangle Institute
Research Triangle Park, N.C.
Many years typically elapse between etiologic carcinogenic exposures
and the subsequent occurrence of cancer, and therefore, epidemiologists
often must use indirect estimates of historical exposures for study participants.
Earlier research suggests that historical data on crops and associated
pesticide applications can be used to estimate the probability of agricultural
pesticide exposures among persons living near fields, but this retrospective
work could not ascertain whether nearby residents actually were exposed.
However, a prospective study that collects environmental and biological
samples from households at different distances from agricultural fields
would reveal whether a clear exposure gradient occurs as a function of
distance from the fields, and indicate whether there is a correspondence
between measured exposures and a records-based method for predicting household
member pesticide exposures. If a predictable exposure gradient occurs
with increasing distance from the fields, then retrospective exposure
estimates could be further refined to account for this gradient.
Timothy Wilcosky, Ph.D., and colleagues are investigating the herbicide
atrazine as a marker of pesticide exposure in persons living near corn
fields in Illinois. These areas have pockets of rural housing located
in proximity to cornfields, and towns and communities that lie in juxtaposition
to agricultural lands.
To identify specific areas and specific houses, the researchers are using
a variety of data including the U.S. Census of Agriculture and the Illinois
Agricultural Statistics Service, aerial photography and/or satellite imagery,
GIS data sets, localized census data (block, block group, and census tract
levels), and topographic maps. From each of the 50 households enrolled,
the researchers will include one adult and one child younger than 4 years-of-age
from whom they will obtain a urine sample. They also will obtain a dust
sample and drinking water sample from each home.
A questionnaire will capture information about behaviors and housing
characteristics that might influence the participants' pesticide dose.
This research will help reveal whether records-based techniques will be
useful for reconstructing pesticide exposures, and whether use of additional
exposure-related variables increases the precision of the exposure estimates.
Validation of PAH Biomarkers for Quantifying Cancer Risk
Junfeng Zhang, Ph.D.
University of Medicine and Dentistry of New Jersey-Rutgers University
Piscataway, N.J.
Biological monitoring is particularly useful for assessing exposure to
pollutants, such as polycyclic aromatic hydrocarbons (PAHs), that are
present in multiple environmental media. Although a number of PAH biomarkers
have been developed, epidemiological studies relating cancer mortality
to average biomarker concentrations are lacking, and the current risk
assessment frame is based on air concentrations of benzo[a]pyrene (BaP).
Junfeng Zhang, Ph.D., and colleagues' research will fill several important
gaps that have hampered the application of PAH biomarkers in quantifying
cancer risk. Two urinary markers, 1-hydroxypyrene and 9-hydroxy-benzo[a]pyrene,
will be validated.
The researchers will:
- Establish a quantitative relationship between urinary concentrations
and BaP exposure, which will be measured as 24-hour average personal
air concentration and 24-hour dietary intake.
- Examine whether there is a significant day-to-day variation in urinary
marker concentrations in study participants who have stable daily PAH
exposures. This is important because for a biomarker to be useful for
estimating cancer risk, the marker should be able to predict people's
average (steady) exposure.
- Examine whether a first morning urine sample can efficiently represent
daily exposure or a 24-hour composite urine sample is required. This
is of practical importance because 24-hour urine samples are considerably
harder to get in free-living populations.
- Examine relationships between urinary markers and other PAH metrics,
because other metrics of PAH mixture may prove to be a better index
for future risk assessment.
The study is being conducted with 100 nonsmoking adults who have a wide
range of exposure to airborne BaP, including both occupationally and non-occupationally
exposed individuals. Inclusion of non-occupationally exposed individuals
in evaluating the biomarkers is important because high PAH exposures also
can occur in the course of their daily lives, including non-smokers.
Two sets of repeated measurements are being taken for each study participant.
Each set includes 24-hour personal breathing-zone concentrations of gas-phase
and particle-phase PAHs; 24-hour dietary PAH intakes; and biomarker concentrations
in first-morning urine and in 24-hour-composite urine. All measurements
will be made within the same 24-hour period. Two repeated measurements
are separated by at least three months to maximize the representativeness
of daily exposure.
Air samples and food samples are being analyzed for at least 16 common
PAHs, including pyrene and BaP, using the established HPLC/fluorescence
methods. The spot nature of urinary concentrations will be corrected with
creatinine. Statistical methods to be used include descriptive analyses,
scatter plots, correlation analyses, paired comparisons, and linear mixed
models. Adjustments will be made for age, sex, height, weight, and body
mass index in the mixed models.
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