Interpreting Biomarkers of Exposure In Humans

Marsha K. Morgan and Linda S, Sheldon

U.S. EPA/Office of Research and Development (OKI) (/National Exposure Research Laboratory (NERL)

Science Issues

sT\ iomonitoring is a useful tool for understanding the linkages between external chemical
#-<^exposures and possible health outcomes in humans. The importance of this research is
^to increase our understanding of how to properly interpret and use biomarkers to assess
human exposures and internal doses. Chemicals or their metabolites are commonly measured in
fluids such as urine, blood, or saliva. In recent years, there has been an explosion of available human
biomonitoring data from researchers in academia, private industry, and government. Unfortunately,
a majority of these studies have collected little or no environmental measurement data. Environmental
measurement data are vital in understanding the important sources (i.e., dust, air, food), pathways,
and routes (i.e., ingestion, inhalation, and dermal) of human exposures to chemicals. Biomarker data
by themselves only show that humans were exposed to a chemical at some point in time. The Office
of Research and Development (ORD) has conducted and/or funded numerous human exposure
studies in the past several years that have simultaneously collected environmental measurement
and biomarker data. Statistical analyses are ongoing to understand the relationship between external
exposure, internal dose, and biomarkers of exposure, and EPA has already learned a great deal from
these analyses. This knowledge and tools for its application will benefit risk assessors and decision-
makers, thus improving EPA's ability to identify agents of concern, select effective risk mitigation
strategies, and demonstrate accountability for reducing adverse health effects of environmental chemicals.

EPA and CDC Exposure and
Biomarker Studies

/ I lie Agency is currently performing statistical analyses on human exposure and/or

a biomonitoring data collected from several studies to understand the relationship between
^ external exposure, internal dose, and biomarkers of exposure. These include such studies
as the Children's Total Exposure to Persistent Pesticides and Other Persistent Organic Pollutants
(CTEPP) Study, Children's Pesticide Post-application Exposure Study (CPPAES), Biological and
Environmental Monitoring forOrganophosphate and Pyrethroid Pesticide Exposures in Children Living
in Jacksonville, FL (JAX), Minnesota Children's Pesticide Exposure Study (MNCPES), and National
Health and Nutrition Examination Surveys (NHANES).

Science Questions

How can previous personal exposures be assessed or reconstructed through biological
measurements?

What is the range of typical personal exposures, and how does this relate to observed measures
of internal dose through multiple routes?

What tools are needed to design future exposure and epidemiological studies that will include the
collection of biomarker of exposure samples and associated metadata?

How can biomarkers of exposure be used to improve current exposure and risk assessment
methodologies and to support accountability?

Research to Address
Science Questions

Develop a framework and modeling tools to guide future biomarker of exposure applications.

~	Develop better measurement methods and procedures for collecting biomarkers of exposure
in human research studies.

~	Develop statistical methods and models to assess human exposures to chemicals.

~	Identify and provide valuable data inputs for modelers in their toxicokinetic and exposure models.

~	Develop tools and approaches for interpreting biomarkers to assess human exposures.

~	Use biomarkers to assess cumulative exposures and risk.

~	Use PBPK models and available exposure data to reconstruct human exposures to chemicals.

Intake of	Intake of Excreted amount

chlorpyrifos	TCP	of TCP in urine

Figure 1. The median potential aggregate absorbed doses of chlorpyrifos and TCP compared
with the excreted median amounts of TCP in the preschool children's urine in North Carolina.

Examples of Research Partnerships

An interagency agreement (I AG) was developed with CDC to examine the urinary biomarker
concentrations of chemicals (bisphenol-A, phthalate metabolites, atrazine/metabolites, diakyl
phosphates, and pyrethroids metabolites) from children in the CTEPP study. These cutting-edge
methods were recently developed by CDC.

~ EPA is collaborating with the University of Washington through an EPA's 2004 Science to Achieve
Results (STAR) research grant to use CTEPP data to help predict aggregate pesticide exposures
of children using second order probabilistic methods and comparison of those predictions to
observed levels of urinary biomarkers.

Research Application - Interpreting
Biomarkers to Assess Human Exposures

"Tor example in the CTEPP study, the urinary biomarker of exposure for the pesticide
~-chlorpyrifos, 3,5,6-trichloro-2-pyridinol (TCP), was also measurable in several media such as
/ food, air, and dust. Dietary ingestion was the dominant route of the children's exposure to both
fitrforpyrifos and TCP; however, the children's median dietary intake was more than 10 times higher
for TCP than for chlorpyrifos.

Figure 1 shows that the children's total intake of TCP was substantially greater than their total intake
of chlorpyrifos by all routes of exposure. This is an important scientific finding since the scientific
community had considered TCP as a reliable urinary biomarker of exposure to chlorpyrifos in humans
for some time.

Impact

/ I "fiis research will identify the strengths and limitations of using existing biomarker data as

I quantitative estimates of human exposures to chemicals. Future studies will be greatly
^ improved by understanding how to properly collect and interpret biomarkers of exposure
in humans. Important data inputs will be provided to modelers for their toxicokinetic and exposure
models to reduce the uncertainties of human exposures to these chemicals. Cutting-edge methods
will be developed for the collection and analysis of biomarkers of exposure (i.e., urine, blood, hair,
saliva) in humans. The data generated from this research will provide valuable scientific data/
information to risk assessors and decision-makers.

Disclaimer: although this work was reviewed by EPA and approved
for publication, it may not necessarily reflect official Agency policy

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