Literature DB >> 27150081

Genetically Defined Strains in Drug Development and Toxicity Testing.

Michael F W Festing1.   

Abstract

There is growing concern about the poor quality and lack of repeatability of many pre-clinical experiments involving laboratory animals. According to one estimate as much as $28 billion is wasted annually in the USA alone in such studies. A decade ago the FDA's "Critical path" white paper noted that "The traditional tools used to assess product safety-animal toxicology and outcomes from human studies-have changed little over many decades and have largely not benefited from recent gains in scientific knowledge. The inability to better assess and predict product safety leads to failures during clinical development and, occasionally, after marketing." Repeat-dose 28-days and 90-days toxicity tests in rodents have been widely used as part of a strategy to assess the safety of drugs and chemicals but their repeatability and power to detect adverse effects have not been formally evaluated.The guidelines (OECD TG 407 and 408) for these tests specify the dose levels and number of animals per dose but do not specify the strain of animals which should be used. In practice, almost all the tests are done using genetically undefined "albino" rats or mice in which the genetic variation, a major cause of inter-individual and strain variability, is unknown and uncontrolled. This chapter suggests that a better strategy would be to use small numbers of animals of several genetically defined strains of mice or rats instead of the undefined animals used at present. Inbred strains are more stable providing more repeatable data than outbred stocks. Importantly their greater phenotypic uniformity should lead to more powerful and repeatable tests. Any observed strain differences would indicate genetic variation in response to the test substance, providing key data. We suggest that the FDA and other regulators and funding organizations should support research to evaluate this alternative.

Entities:  

Keywords:  Drug development; Experimental design; Factorial experimental designs; Inbred strains; Preclinical development; Signal/noise ratio; Statistical analysis; Statistics; Toxicity testing

Mesh:

Year:  2016        PMID: 27150081     DOI: 10.1007/978-1-4939-3661-8_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

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Authors:  Peter Dornbos; John J LaPres
Journal:  Toxicology       Date:  2017-12-21       Impact factor: 4.221

2.  Immune responses to the real world.

Authors:  Caroline J Zeiss; Cory F Brayton
Journal:  Lab Anim (NY)       Date:  2017-12-29       Impact factor: 12.625

3.  Impact of TCR Diversity on the Development of Transplanted or Chemically Induced Tumors.

Authors:  Hans Schreiber; Matthias Leisegang; Karin Schreiber; Theodore G Karrison; Steven P Wolf; Kazuma Kiyotani; Madeline Steiner; Eric R Littmann; Eric G Pamer; Thomas Kammertoens
Journal:  Cancer Immunol Res       Date:  2019-12-12       Impact factor: 11.151

4.  Low empathy-like behaviour in male mice associates with impaired sociability, emotional memory, physiological stress reactivity and variations in neurobiological regulations.

Authors:  Giovanni Laviola; Francesca Zoratto; Danilo Ingiosi; Valentina Carito; Damien Huzard; Marco Fiore; Simone Macrì
Journal:  PLoS One       Date:  2017-12-04       Impact factor: 3.240

Review 5.  Immune Relevant and Immune Deficient Mice: Options and Opportunities in Translational Research.

Authors:  Enrico Radaelli; Sara F Santagostino; Rani S Sellers; Cory F Brayton
Journal:  ILAR J       Date:  2018-12-31

6.  MicroRNAs in toxic acute kidney injury: Systematic scoping review of the current status.

Authors:  Fathima Shihana; Melissa L Barron; Fahim Mohamed; Devanshi Seth; Nicholas A Buckley
Journal:  Pharmacol Res Perspect       Date:  2021-04

Review 7.  New Rodent Population Models May Inform Human Health Risk Assessment and Identification of Genetic Susceptibility to Environmental Exposures.

Authors:  Alison H Harrill; Kimberly A McAllister
Journal:  Environ Health Perspect       Date:  2017-08-15       Impact factor: 9.031

  7 in total

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