In vitro human tissue models in risk assessment: Report of a consensus-building workshop

James T. MacGregor, Jerry M. Collins, Yuichi Sugiyama, Charles A. Tyson, Jack Dean, Lewis Smith, Melvin Andersen, Rodger D. Curren, J. Brian Houston, Fred F. Kadlubar, Gregory L. Kedderis, Kannan Krishnan, Albert P. Li, Ralph E. Parchment, Kenneth Thummel, Joseph E. Tomaszewski, Roger Ulrich, Alison E M Vickers, Steven A. Wrighton

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Advances in the technology of human cell and tissue culture and the increasing availability of human tissue for laboratory studies have led to the increased use of in vitro human tissue models in toxicology and pharmacodynamics studies and in quantitative modeling of metabolism, pharmacokinetic behavior, and transport. In recognition of the potential importance of such models in toxicological risk assessment, the Society of Toxicology sponsored a workshop to evaluate the current status of human cell and tissue models and to develop consensus recommendations on the use of such models to improve the scientific basis of risk assessment. This report summarizes the evaluation by invited experts and workshop attendees of the current status of such models for prediction of human metabolism and identification of drug-drug interactions, prediction of human toxicities, and quantitative modeling of pharmacokinetic and pharmaco-toxicodynamic behavior. Consensus recommendations for the application and improvement of current models are presented.
    Original languageEnglish
    Pages (from-to)17-36
    Number of pages19
    JournalToxicological Sciences
    Volume59
    Issue number1
    DOIs
    Publication statusPublished - 2001

    Keywords

    • Hepatocytes
    • Human tissues
    • In vitro cell models
    • Pharmacologically based pharmacokinetic (PBPK) modeling
    • Risk assessment

    Fingerprint

    Dive into the research topics of 'In vitro human tissue models in risk assessment: Report of a consensus-building workshop'. Together they form a unique fingerprint.

    Cite this