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Development of a copper database for exposure-response analysis.

While its precise form has not yet been defined, it is assumed that the exposure-response curve for copper (Cu) is U-shaped, as both Cu deficiency and excess can produce adverse health effects. Exposure-response relationships provide the foundation for setting recommended levels of exposure to essential and nonessential substances. A group of toxicologists, biologists, and epidemiologists formed a working group in 2002 to review the literature on Cu excess and deficiency as well as possible exposure-response modeling strategies. It was decided that in order to conduct more complex modeling exercises with studies on Cu, the information had to be organized into a database for application of emerging analytical approaches in exposure-response assessment. The database would support both current as well as proposed methods for exposure-response assessment and accommodate a variety of reporting methods found in the literature. As there are multiple studies looking at a wide range of adverse health effects attributed to excess and deficiency, data were organized into ordered categories of severity to create a common measure of response. The present study (1) outlines the approach used to identify studies for the Cu database based on their quality and usefulness for exposure-response analyses; (2) provides an overview of the process used to define a common dose metric; and (3) describes the process used to categorize a diverse number of responses from Cu excess and deficiency to an ordinal severity score. Efforts are underway to use this database to define the exposure-response curve for Cu excess and deficiency; however, the comprehensive database can be used to carry out other in-depth analyses on Cu toxicity.

Authors

  • Krewski, Daniel, Krewski D, McLaughlin Centre for Population Health Risk Assessment, Institute of Population Health, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada. dkrewski@uottawa.ca

  • Chambers, Andrea, Chambers A,

  • Stern, Bonnie Ransom, Stern BR,

  • Aggett, Peter J, Aggett PJ,

  • Plunkett, Laura, Plunkett L,

  • Rudenko, Larisa, Rudenko L,

YEAR OF PUBLICATION: 2010
SOURCE: J Toxicol Environ Health A. 2010;73(2):208-16. doi: 10.1080/15287390903340815.
JOURNAL TITLE ABBREVIATION: J Toxicol Environ Health A
JOURNAL TITLE: Journal of toxicology and environmental health. Part A
ISSN: 1528-7394 (Print) 0098-4108 (Linking)
VOLUME: 73
ISSUE: 2
PAGES: 208-16
PLACE OF PUBLICATION: England
ABSTRACT:
While its precise form has not yet been defined, it is assumed that the exposure-response curve for copper (Cu) is U-shaped, as both Cu deficiency and excess can produce adverse health effects. Exposure-response relationships provide the foundation for setting recommended levels of exposure to essential and nonessential substances. A group of toxicologists, biologists, and epidemiologists formed a working group in 2002 to review the literature on Cu excess and deficiency as well as possible exposure-response modeling strategies. It was decided that in order to conduct more complex modeling exercises with studies on Cu, the information had to be organized into a database for application of emerging analytical approaches in exposure-response assessment. The database would support both current as well as proposed methods for exposure-response assessment and accommodate a variety of reporting methods found in the literature. As there are multiple studies looking at a wide range of adverse health effects attributed to excess and deficiency, data were organized into ordered categories of severity to create a common measure of response. The present study (1) outlines the approach used to identify studies for the Cu database based on their quality and usefulness for exposure-response analyses; (2) provides an overview of the process used to define a common dose metric; and (3) describes the process used to categorize a diverse number of responses from Cu excess and deficiency to an ordinal severity score. Efforts are underway to use this database to define the exposure-response curve for Cu excess and deficiency; however, the comprehensive database can be used to carry out other in-depth analyses on Cu toxicity.
LANGUAGE: eng
DATE OF PUBLICATION: 2010
DATE COMPLETED: 20100209
DATE REVISED: 20131121
MESH DATE: 2010/02/10 06:00
EDAT: 2010/01/16 06:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
LOCATION IDENTIFIER: 10.1080/15287390903340815 [doi]
COMMENT IN:
OWNER: NLM

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Daniel Krewski

Chief Risk Scientist

Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
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