Literature DB >> 26249816

Linear-No-Threshold Default Assumptions for Noncancer and Nongenotoxic Cancer Risks: A Mathematical and Biological Critique.

Kenneth T Bogen.   

Abstract

To improve U.S. Environmental Protection Agency (EPA) dose-response (DR) assessments for noncarcinogens and for nonlinear mode of action (MOA) carcinogens, the 2009 NRC Science and Decisions Panel recommended that the adjustment-factor approach traditionally applied to these endpoints should be replaced by a new default assumption that both endpoints have linear-no-threshold (LNT) population-wide DR relationships. The panel claimed this new approach is warranted because population DR is LNT when any new dose adds to a background dose that explains background levels of risk, and/or when there is substantial interindividual heterogeneity in susceptibility in the exposed human population. Mathematically, however, the first claim is either false or effectively meaningless and the second claim is false. Any dose-and population-response relationship that is statistically consistent with an LNT relationship may instead be an additive mixture of just two quasi-threshold DR relationships, which jointly exhibit low-dose S-shaped, quasi-threshold nonlinearity just below the lower end of the observed "linear" dose range. In this case, LNT extrapolation would necessarily overestimate increased risk by increasingly large relative magnitudes at diminishing values of above-background dose. The fact that chemically-induced apoptotic cell death occurs by unambiguously nonlinear, quasi-threshold DR mechanisms is apparent from recent data concerning this quintessential toxicity endpoint. The 2009 NRC Science and Decisions Panel claims and recommendations that default LNT assumptions be applied to DR assessment for noncarcinogens and nonlinear MOA carcinogens are therefore not justified either mathematically or biologically.
© 2015 The Author. Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

Entities:  

Keywords:  Dose response; genotoxic carcinogens; heterogeneity; human; linearity; low dose; modeling; noncarcinogens; nonlinearity; susceptibility; variability

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Year:  2015        PMID: 26249816     DOI: 10.1111/risa.12460

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

1.  The Influence of Human Interindividual Variability on the Low-Dose Region of Dose-Response Curve Induced by 2,3,7,8-Tetrachlorodibenzo-p-Dioxin in Primary B Cells.

Authors:  Peter Dornbos; Robert B Crawford; Norbert E Kaminski; Sarah L Hession; John J LaPres
Journal:  Toxicol Sci       Date:  2016-07-29       Impact factor: 4.849

2.  Low-dose dose-response for reduced cell viability after exposure of human keratinocyte (HEK001) cells to arsenite.

Authors:  Kenneth T Bogen; Lora L Arnold; Aparajita Chowdhury; Karen L Pennington; Samuel M Cohen
Journal:  Toxicol Rep       Date:  2016-12-14

Review 3.  Implications of nonlinearity, confounding, and interactions for estimating exposure concentration-response functions in quantitative risk analysis.

Authors:  Louis Anthony Cox
Journal:  Environ Res       Date:  2020-05-19       Impact factor: 6.498

4.  Low-Dose Dose-Response for In Vitro Nrf2-ARE Activation in Human HepG2 Cells.

Authors:  Kenneth T Bogen
Journal:  Dose Response       Date:  2017-05-03       Impact factor: 2.658

  4 in total

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