IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v15y1995i5p555-565.html
   My bibliography  Save this article

A Trichloroethylene Risk Assessment Using a Monte Carlo Analysis of Parameter Uncertainty in Conjunction with Physiologically‐Based Pharmacokinetic Modeling

Author

Listed:
  • William J. Cronin
  • Eric J. Oswald
  • Michael L. Shelley
  • Jeffrey W. Fisher
  • Carlyle D. Flemming

Abstract

A Monte Carlo simulation is incorporated into a risk assessment for trichloroethylene (TCE) using physiologically‐based pharmacokinetic (PBPK) modeling coupled with the linearized multistage model to derive human carcinogenic risk extrapolations. The Monte Carlo technique incorporates physiological parameter variability to produce a statistically derived range of risk estimates which quantifies specific uncertainties associated with PBPK risk assessment approaches. Both inhalation and ingestion exposure routes are addressed. Simulated exposure scenarios were consistent with those used by the Environmental Protection Agency (EPA) in their TCE risk assessment. Mean values of physiological parameters were gathered from the literature for both mice (carcinogenic bioassay subjects) and for humans. Realistic physiological value distributions were assumed using existing data on variability. Mouse cancer bioassay data were correlated to total TCE metabolized and area‐under‐the‐curve (blood concentration) trichloroacetic acid (TCA) as determined by a mouse PBPK model. These internal dose metrics were used in a linearized multistage model analysis to determine dose metric values corresponding to 10‐6 lifetime excess cancer risk. Using a human PBPK model, these metabolized doses were then extrapolated to equivalent human exposures (inhalation and ingestion). The Monte Carlo iterations with varying mouse and human physiological parameters produced a range of human exposure concentrations producing a 10‐6 risk.

Suggested Citation

  • William J. Cronin & Eric J. Oswald & Michael L. Shelley & Jeffrey W. Fisher & Carlyle D. Flemming, 1995. "A Trichloroethylene Risk Assessment Using a Monte Carlo Analysis of Parameter Uncertainty in Conjunction with Physiologically‐Based Pharmacokinetic Modeling," Risk Analysis, John Wiley & Sons, vol. 15(5), pages 555-565, October.
  • Handle: RePEc:wly:riskan:v:15:y:1995:i:5:p:555-565
    DOI: 10.1111/j.1539-6924.1995.tb00752.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.1995.tb00752.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1539-6924.1995.tb00752.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tracey J. Woodruff & Frédéric Y. Bois & David Auslander & Robert C. Spear, 1992. "Structure and Parameterization of Pharmacokinetic Models: Their Impact on Model Predictions," Risk Analysis, John Wiley & Sons, vol. 12(2), pages 189-201, June.
    2. Jeffrey W. Fisher & Bruce C. Allen, 1993. "Evaluating the Risk of Liver Cancer in Humans Exposed to Trichloroethylene Using Physiological Models," Risk Analysis, John Wiley & Sons, vol. 13(1), pages 87-95, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leona H. Clark & R. Woodrow Setzer & Hugh A. Barton, 2004. "Framework for Evaluation of Physiologically‐Based Pharmacokinetic Models for Use in Safety or Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1697-1717, December.
    2. Karen H. Watanabe & Frédéric Y. Bois, 1996. "Interspecies Extrapolation of Physiological Pharmacokinetic Parameter Distributions," Risk Analysis, John Wiley & Sons, vol. 16(6), pages 741-754, December.
    3. Maxine E. Dakins & John E. Toll & Mitchell J. Small & Kevin P. Brand, 1996. "Risk‐Based Environmental Remediation: Bayesian Monte Carlo Analysis and the Expected Value of Sample Information," Risk Analysis, John Wiley & Sons, vol. 16(1), pages 67-79, February.
    4. Weihsueh A. Chiu & Paul White, 2006. "Steady‐State Solutions to PBPK Models and Their Applications to Risk Assessment I: Route‐to‐Route Extrapolation of Volatile Chemicals," Risk Analysis, John Wiley & Sons, vol. 26(3), pages 769-780, June.
    5. Kevin P. Brand & Mitchell J. Small, 1995. "Updating Uncertainty in an Integrated Risk Assessment: Conceptual Framework and Methods," Risk Analysis, John Wiley & Sons, vol. 15(6), pages 719-729, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:15:y:1995:i:5:p:555-565. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.