Literature DB >> 18840543

Correct assessment of new compounds using in vivo screening models can reduce false positives.

Tjerk J H Bueters1, Janet Hoogstraate, Sandra A G Visser.   

Abstract

During early drug discovery the initial in vivo efficacy testing is often performed in rodent models optimized to screen and select lead compounds rapidly, before progressing them to in vivo models that reflect the human form of the disease more closely. The way such models are frequently run can risk overestimating the efficacy of new compounds when using pre- and co-administration, as shown in three examples from different central nervous system research areas. This is undesirable for reasons ranging from good decision-making, cost efficiency and time management to the ethics of animal use. Abandoning the use of pre-treatment, monitoring crucial physiological parameters in (satellite) animals and systematically applying simple pharmacokinetic-pharmacodynamic analysis could reduce the number of false positive results.

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Year:  2008        PMID: 18840543     DOI: 10.1016/j.drudis.2008.09.003

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  3 in total

1.  Pharmacokinetic-pharmacodynamic modeling of the inhibitory effects of naproxen on the time-courses of inflammatory pain, fever, and the ex vivo synthesis of TXB2 and PGE2 in rats.

Authors:  Elke H J Krekels; Marie Angesjö; Ingemo Sjögren; Kristina Angeby Möller; Odd-Geir Berge; Sandra A G Visser
Journal:  Pharm Res       Date:  2011-02-23       Impact factor: 4.200

2.  The roles of dopamine transport inhibition and dopamine release facilitation in wake enhancement and rebound hypersomnolence induced by dopaminergic agents.

Authors:  John A Gruner; Val R Marcy; Yin-Guo Lin; Donna Bozyczko-Coyne; Michael J Marino; Maciej Gasior
Journal:  Sleep       Date:  2009-11       Impact factor: 5.849

Review 3.  Engineering large animal models of human disease.

Authors:  C Bruce A Whitelaw; Timothy P Sheets; Simon G Lillico; Bhanu P Telugu
Journal:  J Pathol       Date:  2015-11-28       Impact factor: 7.996

  3 in total

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