Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Risk assessment extrapolations and physiological modeling.

H J Clewell, M E Andersen

    Toxicology and Industrial Health
    |December 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Prognostic significance of circulating tumor DNA as a baseline or dynamic factor in advanced NSCLC without oncogenic drivers: A systematic review and meta-analysis.

    Critical reviews in oncology/hematology·2026
    Same author

    Using available <i>in vitro</i> metabolite identification and time course kinetics for β-chloroprene and its metabolite, (1-chloroethenyl) oxirane, to include reactive oxidative metabolites and glutathione depletion in a PBPK model for β-chloroprene.

    Frontiers in pharmacology·2023
    Same author

    Response to "letter concerning: Clewell (2019) incorporation of <i>in vitro</i> metabolism data and physiologically based pharmacokinetic modeling in a risk assessment for chloroprene." (UIHT-2020-0053).

    Inhalation toxicology·2020
    Same author

    Derivation of whole blood biomonitoring equivalents for titanium for the interpretation of biomonitoring data.

    Regulatory toxicology and pharmacology : RTP·2020
    Same author

    Toxicity testing in the 21st century: progress in the past decade and future perspectives.

    Archives of toxicology·2019
    Same author

    Assessing children's exposure to manganese in drinking water using a PBPK model.

    Toxicology and applied pharmacology·2019
    Same journal

    The history of the Toxicology Roundtable-75 years of scientific discussion.

    Toxicology and industrial health·2026
    Same journal

    Perfluorooctane sulfonate (PFOS) increases metastatic potential of thyroid cancer cells in correlation with activation of multiple invasion-related signaling proteins.

    Toxicology and industrial health·2026
    Same journal

    Biological and computational evidence of dinotefuran-DNA interactions: A combined <i>in</i> <i>vitro</i> and <i>in</i> <i>silico</i> study.

    Toxicology and industrial health·2026
    Same journal

    Dibromoacetonitrile mediated depression-like behavior in mice and induced HT22 cytotoxicity through the MKP-1/P38 MAPK signaling pathway and the antagonistic effect of N-acetylcysteine.

    Toxicology and industrial health·2026
    Same journal

    Subchronic γ-hexachlorocyclohexane exposure is associated with altered TLR4-linked pulmonary immune responses following endotoxin challenge: Insights from a two-hit mouse model.

    Toxicology and industrial health·2026
    Same journal

    Humanin improved the rotenone-induced reactive oxygen species formation in PC12 cells by modulating the SIRT3/Nrf2/HO-1 signaling pathway.

    Toxicology and industrial health·2026
    See all related articles

    Physiologically based pharmacokinetic models offer a scientifically sound method for extrapolating animal study data to predict human health risks from environmental chemical exposure. These models improve risk assessment accuracy by accounting for various exposure scenarios and doses.

    Area of Science:

    • Toxicology
    • Environmental Health
    • Pharmacokinetics

    Background:

    • Risk assessment for environmental chemical exposure relies on extrapolations from animal studies to predict human risks.
    • Key challenges include extrapolating across species, dose levels, exposure routes, and timeframes.
    • Current methods often involve assumptions, estimates, and statistical correlations.

    Purpose of the Study:

    • To introduce physiologically based pharmacokinetic (PBPK) models as a superior alternative for chemical risk assessment.
    • To highlight the capability of PBPK models to handle complex extrapolations in exposure scenarios.
    • To demonstrate the utility of PBPK models in improving dose selection and data analysis.

    Main Methods:

    • Utilizing physiologically based pharmacokinetic models with detailed biological information.

    Related Experiment Videos

  • Developing and applying PBPK models for both volatile and nonvolatile chemicals.
  • Employing readily available techniques for parameter determination and personal computer-based computation.
  • Main Results:

    • Successful development of PBPK models for diverse chemicals has been demonstrated.
    • These models effectively perform necessary extrapolations for risk assessment.
    • Computational requirements are now accessible with personal computers.

    Conclusions:

    • PBPK models provide a robust framework for scientifically sound extrapolations in risk assessment.
    • Their predictive power enhances dose selection for studies and retrospective analysis.
    • PBPK modeling represents a significant advancement for more reliable environmental chemical risk assessment.