Publication related to RSI or an RSI staff member

The future of mechanistic research in risk assessment: where are we going and can we get there from here?

Quantitative estimates of human health risk are often based on mathematical models fit to experimental or epidemiological data. Recent years have witnessed a trend towards the use of mechanistic models in risk assessment applications. Such models afford a more biologically based interpretation of the data and a firmer scientific basis for extrapolation beyond the conditions under which the original data were obtained. In this article, we review some recent advances in the development of biologically based models for mutagenesis, carcinogenesis and developmental toxicity. Pharmacokinetic and receptor-binding models and their roles in mechanistic risk assessment are also discussed. The future of mechanistic research in risk assessment is contemplated, including the need for more elaborate experiments to obtain the data necessary for mechanistic modeling.

Authors

  • Goddard, M J, Goddard MJ, Environmental Health Centre, Tunney's Pasture, Ottawa, Ontario, Canada.

  • Krewski, D, Krewski D,

YEAR OF PUBLICATION: 1995
SOURCE: Toxicology. 1995 Sep 1;102(1-2):53-70. doi: 10.1016/0300-483x(95)03036-f.
JOURNAL TITLE ABBREVIATION: Toxicology
JOURNAL TITLE: Toxicology
ISSN: 0300-483X (Print) 0300-483X (Linking)
VOLUME: 102
ISSUE: 1-2
PAGES: 53-70
PLACE OF PUBLICATION: Ireland
ABSTRACT:
Quantitative estimates of human health risk are often based on mathematical models fit to experimental or epidemiological data. Recent years have witnessed a trend towards the use of mechanistic models in risk assessment applications. Such models afford a more biologically based interpretation of the data and a firmer scientific basis for extrapolation beyond the conditions under which the original data were obtained. In this article, we review some recent advances in the development of biologically based models for mutagenesis, carcinogenesis and developmental toxicity. Pharmacokinetic and receptor-binding models and their roles in mechanistic risk assessment are also discussed. The future of mechanistic research in risk assessment is contemplated, including the need for more elaborate experiments to obtain the data necessary for mechanistic modeling.
LANGUAGE: eng
DATE OF PUBLICATION: 1995 Sep 1
DATE COMPLETED: 19951207
DATE REVISED: 20190819
MESH DATE: 1995/09/01 00:01
EDAT: 1995/09/01 00:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
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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