Literature DB >> 11754529

ICCVAM evaluation of the murine local lymph node assay. The ICCVAM review process.

D M Sailstad1, D Hattan, R N Hill, W S Stokes.   

Abstract

New test methods are being developed to improve the prediction of human and environmental risks and to benefit animal welfare by reducing, refining, and replacing animal use. Regulatory adoption of new test methods is often a complex and protracted process, requiring test method validation, regulatory acceptance, and implementation. Assessments of new test methods have not always been uniform within or among regulatory agencies. Thus, there have been increased pressures for a harmonized approach to test method evaluation and acceptance. In 1997, in response to these pressures and to U.S. Public Law 103-43, the National Institute of Environmental Health Sciences (NIEHS) established the Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) to coordinate interagency consideration of new and revised test methods. This article describes the validation and acceptance criteria and process used for the first test method evaluated by ICCVAM, the murine local lymph node assay (LLNA). Based on ICCVAM's conclusions and recommendations, the LLNA has been accepted by U.S. regulatory agencies as a stand-alone assay for allergic contact dermatitis. Two related articles in this series of three present the results of the independent peer review evaluation of the LLNA and summarize the performance characteristics of the database substantiating the validity of the LLNA.

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Year:  2001        PMID: 11754529     DOI: 10.1006/rtph.2001.1496

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  5 in total

1.  Safety assessment of allergic contact dermatitis hazards: an analysis supporting reduced animal use for the murine local lymph node assay.

Authors:  Joseph K Haseman; Judy Strickland; David Allen; Eleni Salicru; Michael Paris; Raymond R Tice; William S Stokes
Journal:  Regul Toxicol Pharmacol       Date:  2010-10-23       Impact factor: 3.271

2.  Prediction of skin sensitization potency using machine learning approaches.

Authors:  Qingda Zang; Michael Paris; David M Lehmann; Shannon Bell; Nicole Kleinstreuer; David Allen; Joanna Matheson; Abigail Jacobs; Warren Casey; Judy Strickland
Journal:  J Appl Toxicol       Date:  2017-01-10       Impact factor: 3.446

3.  Integrated decision strategies for skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Nicole Kleinstreuer; Michael Paris; David M Lehmann; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Anna Lowit; David Allen; Warren Casey
Journal:  J Appl Toxicol       Date:  2016-02-06       Impact factor: 3.446

4.  Perspectives on validation of high-throughput assays supporting 21st century toxicity testing.

Authors:  Richard Judson; Robert Kavlock; Matthew Martin; David Reif; Keith Houck; Thomas Knudsen; Ann Richard; Raymond R Tice; Maurice Whelan; Menghang Xia; Ruili Huang; Christopher Austin; George Daston; Thomas Hartung; John R Fowle; William Wooge; Weida Tong; David Dix
Journal:  ALTEX       Date:  2013       Impact factor: 6.043

5.  Multivariate models for prediction of human skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Michael Paris; David M Lehmann; David Allen; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Warren Casey; Nicole Kleinstreuer
Journal:  J Appl Toxicol       Date:  2016-08-02       Impact factor: 3.446

  5 in total

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