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Citation
Tags
HERO ID
1248938
Reference Type
Journal Article
Title
Interpreting variability in population biomonitoring data: Role of elimination kinetics
Author(s)
Aylward, LL; Kirman, CR; Adgate, JL; Mckenzie, LM; Hays, SM
Year
2012
Is Peer Reviewed?
1
Journal
Journal of Exposure Science & Environmental Epidemiology
ISSN:
1559-0631
EISSN:
1559-064X
Volume
22
Issue
4
Page Numbers
398-408
Language
English
PMID
22588214
DOI
10.1038/jes.2012.35
Web of Science Id
WOS:000305694000013
URL
http://www.nature.com/jes/journal/v22/n4/full/jes201235a.html
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Abstract
Biomarker concentrations in spot samples of blood and urine are implicitly interpreted as direct surrogates for long-term exposure magnitude in a variety of contexts including (1) epidemiological studies of potential health outcomes associated with general population chemical exposure, and (2) cross-sectional population biomonitoring studies. However, numerous factors in addition to exposure magnitude influence biomarker concentrations in spot samples, including temporal variation in spot samples because of elimination kinetics. The influence of half-life of elimination relative to exposure interval is examined here using simple first-order pharmacokinetic simulations of urinary concentrations in spot samples collected at random times relative to exposure events. Repeated exposures were modeled for each individual in the simulation with exposure amounts drawn from lognormal distributions with varying geometric standard deviations. Relative variation in predicted spot sample concentrations was greater than the variation in underlying dose distributions when the half-life of elimination was shorter than the interval between exposures, with the degree of relative variation increasing as the ratio of half-life to exposure interval decreased. Results of the modeling agreed well with data from a serial urine collection data set from the Centers for Disease Control. Data from previous studies examining intra-class correlation coefficients for a range of chemicals relying upon repeated sampling support the importance of considering the half-life relative to exposure frequency in design and interpretation of studies using spot samples for exposure classification and exposure estimation. The modeling and data sets presented here provide tools that can assist in interpretation of variability in cross-sectional biomonitoring studies and in design of studies utilizing biomonitoring data as markers for exposure.
Keywords
biomonitoring; toxicokinetics; variability; dose estimation; risk assessment
Tags
•
Arsenic Hazard ID
1. Initial Lit Search
WOS
WOS
Considered New
2. Lit Search Updates through Oct 2015
WOS
Considered
4. Considered through Oct 2015
6. Cluster Filter through Oct 2015
7. Other Studies through Oct 2015
Other
•
Arsenic (Inorganic)
1. Literature
Web of Science
Lit search updates through Oct 2015
3. Hazard ID Screening
Other potentially supporting studies
4. Adverse Outcome Pathways/Networks Screening
Excluded/Not relevant
Electronic discard
•
Arsenic MOA
2. Electronic Discard
1. MOA Literature Screening
MOA Cluster
•
Diethyl phthalate (DEP)
Database searches
Initial Litsearch
Web of Science
Merged reference set
Jan 2020 update
Web of Science
Excluded: No Primary Data on Health Effects
Not chemical specific
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