Literature DB >> 9539028

Modeling to incorporate defense mechanisms into the estimation of dose responses.

R L Sielken1, D E Stevenson.   

Abstract

Several adverse health effects (including cancer and noncancer effects) may be the result of an imbalance between exogenous and endogenous invading substances and defense mechanisms. In these cases the probability of an adverse effect depends on how much the exposure to a substance increases or decreases the number of defenders or their efficiency as well as increasing or decreasing the number of invaders. Rather than using a dose scale such as parts per million or milligram/kilogram/day in these cases, dose-response models can directly incorporate the impact of defense mechanisms by using a dose scale that corresponds to the number of invaders that break through the defenders and become free to do their damage. The number of breakthroughs at a specific age, the cumulative number of breakthroughs by a specific age, or the cumulative number of breakthroughs in a window of time would usually be the appropriate age-dependent dose. Although a lifetime average daily dose level can be used as a surrogate for an age-dependent dose in simplistic dose-response models, the age-dependent dose itself can be used in more biologically based models that include time, reflect the key role of feedback mechanisms, and treat the human body as an age-dependent dynamic system responding to internal and external stimuli and not as a system at equilibrium. Some illustrative biologic examples of defense mechanisms and invader-defender interactions are presented. Several numerical examples are given in which the dose incorporates the age-dependent effects of a substance on the number of invaders, the number of defenders, and/or the defenders' efficiencies.

Entities:  

Mesh:

Year:  1998        PMID: 9539028      PMCID: PMC1533283          DOI: 10.1289/ehp.98106s1341

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


  2 in total

Review 1.  Challenges to default assumptions stimulate comprehensive realism as a new tier in quantitative cancer risk assessment.

Authors:  R L Sielken; R S Bretzlaff; D E Stevenson
Journal:  Regul Toxicol Pharmacol       Date:  1995-04       Impact factor: 3.271

2.  Quantitative aspects of chemical carcinogenesis and tumor promotion in liver.

Authors:  H W Kunz; H A Tennekes; R E Port; M Schwartz; D Lorke; G Schaude
Journal:  Environ Health Perspect       Date:  1983-04       Impact factor: 9.031

  2 in total
  1 in total

Review 1.  Linear low-dose extrapolation for noncancer heath effects is the exception, not the rule.

Authors:  Lorenz R Rhomberg; Julie E Goodman; Lynne T Haber; Michael Dourson; Melvin E Andersen; James E Klaunig; Bette Meek; Paul S Price; Roger O McClellan; Samuel M Cohen
Journal:  Crit Rev Toxicol       Date:  2011-01       Impact factor: 5.635

  1 in total

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