TY - JOUR
T1 - Challenges for environmental epidemiology research
T2 - Are biomarker concentrations altered by kidney function or urine concentration adjustment?
AU - Weaver, Virginia M.
AU - Kotchmar, Dennis J.
AU - Fadrowski, Jeffrey J.
AU - Silbergeld, Ellen K.
N1 - Funding Information:
1Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA; 2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; 3Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA; 4National Center for Environmental Assessment, United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA and 5Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA. Correspondence: Dr VM Weaver, Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St., Rm. 7041, Baltimore, MD 21205, USA. Tel.: +1 410 955 9213. Fax: +1 410 955 1811. E-mail: vweaver1@jhu.edu Received 25 May 2014; revised 7 January 2015; accepted 7 January 2015; published online 4 March 2015
Funding Information:
The Oak Ridge Institute for Science and Education Research Participation Program at the National Center for Environmental Assessment, Office of Research and Development, US EPA [#: EPA-ORD/NCEA-RTP-2009-02; Dr. Weaver].
Publisher Copyright:
© 2016 Nature America, Inc. All rights reserved.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Biomonitoring has become a standard approach for exposure assessment in occupational and environmental epidemiology. The use of biological effect markers to identify early adverse changes in target organs has also become widely adopted. However, the potential for kidney function to affect biomarker levels in the body and the optimal approach to adjustment of biomarker concentrations in spot urine samples for hydration status are two important but underappreciated challenges associated with biomarker use. Several unexpected findings, such as positive associations between urine nephrotoxicant levels and estimated glomerular filtration rate (eGFR), have been reported recently in research using biomarkers. These and other findings, discussed herein, suggest an impact of kidney glomerular filtration or tubule processing on biomarker levels. This is more commonly raised in the context of decreased kidney filtration, traditionally referred to as reverse causality; however, recent data suggest that populations with normal kidney filtration may be affected as well. Misclassification bias would result if biomarkers reflect kidney function as well as either exposures or early biological effect outcomes. Furthermore, urine biomarker associations with eGFR that differ markedly by approach used to adjust for urine concentration have been reported. Associations between urine measures commonly used for this adjustment, such as urine creatinine, and specific research outcomes could alter observed biomarker associations with outcomes. Research recommendations to address the potential impact of kidney function and hydration status adjustment on biomarkers are provided, including a range of approaches to study design, exposure and outcome assessment, and adjustment for urine concentration.
AB - Biomonitoring has become a standard approach for exposure assessment in occupational and environmental epidemiology. The use of biological effect markers to identify early adverse changes in target organs has also become widely adopted. However, the potential for kidney function to affect biomarker levels in the body and the optimal approach to adjustment of biomarker concentrations in spot urine samples for hydration status are two important but underappreciated challenges associated with biomarker use. Several unexpected findings, such as positive associations between urine nephrotoxicant levels and estimated glomerular filtration rate (eGFR), have been reported recently in research using biomarkers. These and other findings, discussed herein, suggest an impact of kidney glomerular filtration or tubule processing on biomarker levels. This is more commonly raised in the context of decreased kidney filtration, traditionally referred to as reverse causality; however, recent data suggest that populations with normal kidney filtration may be affected as well. Misclassification bias would result if biomarkers reflect kidney function as well as either exposures or early biological effect outcomes. Furthermore, urine biomarker associations with eGFR that differ markedly by approach used to adjust for urine concentration have been reported. Associations between urine measures commonly used for this adjustment, such as urine creatinine, and specific research outcomes could alter observed biomarker associations with outcomes. Research recommendations to address the potential impact of kidney function and hydration status adjustment on biomarkers are provided, including a range of approaches to study design, exposure and outcome assessment, and adjustment for urine concentration.
KW - biomarkers
KW - biomonitoring
KW - creatinine
KW - glomerular filtration rate (GFR)
KW - kidney function
KW - reverse causality
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U2 - 10.1038/jes.2015.8
DO - 10.1038/jes.2015.8
M3 - Article
C2 - 25736163
AN - SCOPUS:84952638957
SN - 1559-0631
VL - 26
SP - 1
EP - 8
JO - Journal of Exposure Science and Environmental Epidemiology
JF - Journal of Exposure Science and Environmental Epidemiology
IS - 1
ER -