Literature DB >> 7737037

Pharmacokinetic factors influencing risk assessment: saturation of biochemical processes and cofactor depletion.

D D Sumner1, J T Stevens.   

Abstract

Models generally consider risk to be a function of the hazard (toxicity) and exposure (dose). That function is best described by the dose response of the toxic effect. For any risk assessment system to be effective, it should consider that dose-response relationship. Saturation phenomena often produce nonlinear dose curves, and any risk assessment system should be able to address such effects. Physiologically based pharmacokinetics offer an approach to deal with these nonlinear responses. Some historic risk models and common saturable processes are discussed. The impact of maximum tolerated dose (MTD) on risk evaluation and the kinetics of some saturable processes are considered. Specific examples have been selected to demonstrate the importance of saturation of processes in assessing the hazard of chemicals.

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Year:  1994        PMID: 7737037      PMCID: PMC1566761          DOI: 10.1289/ehp.94102s1113

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  24 in total

1.  An examination of some experimental cancer data in the light of the one-hit theory of infectivity titrations.

Authors:  P ARMITAGE
Journal:  J Natl Cancer Inst       Date:  1959-12       Impact factor: 13.506

2.  The maximum tolerated dose in pesticide carcinogenicity studies.

Authors:  H P Burchfield; E E Storrs; H F Kraybill
Journal:  Environ Qual Saf Suppl       Date:  1975

3.  Carcinogenicity bioassays of vinyl chloride: current results.

Authors:  C Maltoni; G Lefemine
Journal:  Ann N Y Acad Sci       Date:  1975-01-31       Impact factor: 5.691

4.  Fate of [14C]vinyl chloride following inhalation exposure in rats.

Authors:  P G Watanabe; G R McGowan; E O Madrid; P J Gehring
Journal:  Toxicol Appl Pharmacol       Date:  1976-07       Impact factor: 4.219

5.  Carcinogenic risk assessment.

Authors:  J Cornfield
Journal:  Science       Date:  1977-11-18       Impact factor: 47.728

6.  Confidence intervals and test of hypotheses concerning dose response relations inferred from animal carcinogenicity data.

Authors:  K S Crump; H A Guess; K L Deal
Journal:  Biometrics       Date:  1977-09       Impact factor: 2.571

7.  Risk of angiosarcoma in workers exposed to vinyl chloride as predicted from studies in rats.

Authors:  P J Gehring; P G Watanabe; C N Park
Journal:  Toxicol Appl Pharmacol       Date:  1979-06-15       Impact factor: 4.219

8.  A comparison of statistical methods for low dose extrapolation utilizing time-to-tumor data.

Authors:  D Krewski; K S Crump; J Farmer; D W Gaylor; R Howe; C Portier; D Salsburg; R L Sielken; J Van Ryzin
Journal:  Fundam Appl Toxicol       Date:  1983 May-Jun

Review 9.  Dose-response functions in carcinogenesis and the Weibull model.

Authors:  F W Carlborg
Journal:  Food Cosmet Toxicol       Date:  1981-04

10.  The importance of metabolite identification in quantitative risk estimation.

Authors:  J T Stevens; D D Sumner
Journal:  J Toxicol Clin Toxicol       Date:  1982-08
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  2 in total

1.  Integrated intravital microscopy and mathematical modeling to optimize nanotherapeutics delivery to tumors.

Authors:  Anne L van de Ven; Min Wu; John Lowengrub; Steven R McDougall; Mark A J Chaplain; Vittorio Cristini; Mauro Ferrari; Hermann B Frieboes
Journal:  AIP Adv       Date:  2012-03-22       Impact factor: 1.548

Review 2.  Cancer risk assessment of extremely low frequency electric and magnetic fields: a critical review of methodology.

Authors:  J McCann
Journal:  Environ Health Perspect       Date:  1998-11       Impact factor: 9.031

  2 in total

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