Literature DB >> 12165064

Safety pharmacology--a progressive approach.

William S Redfern1, Ian D Wakefield, Helen Prior, Christopher E Pollard, Timothy G Hammond, Jean-Pierre Valentin.   

Abstract

Although deaths and life-threatening adverse drug reactions (ADRs) in Phase I clinical trials are extremely rare, less severe ADRs occur with an incidence of over 13%. Of the candidate drugs (CDs) that fail prior to marketing, it is generally acknowledged that about 1 in 5 do so because of ADRs in the clinic. Once new chemical entities (NCEs) are on the market, ADRs are estimated to be the fourth leading cause of death in the USA. These various statistics indicate that there is room for improvement in preclinical safety assessment, and a smarter approach to safety pharmacology (SP) can contribute to this. Rather than 'bundling' the SP studies together just prior to Phase I trials, a step-wise, streamlined approach can be adopted throughout the drug discovery process. In this way, the SP information can contribute to making informed judgements at each milestone throughout the preclinical drug discovery process: (i) to assist in series and compound selection; (ii) to assess potential risk of failure in the clinic due to ADRs; (iii) to predict potential ADRs that the clinical pharmacologists can focus on; (iv) to define a therapeutic window for acute dosing in humans. To achieve these objectives, the SP tests need to be carefully selected, adequately validated in-house, and be robust and reliable. To achieve (ii) above, outcome criteria have to be set which, for each test (in vitro and in vivo), take into account acceptable safety margins for the particular therapeutic target. Thus, highly sensitive and predictive SP tests positioned strategically and as early as possible should contribute to reducing attrition during clinical development and ultimately to marketing safer medicines more rapidly.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12165064     DOI: 10.1046/j.1472-8206.2002.00098.x

Source DB:  PubMed          Journal:  Fundam Clin Pharmacol        ISSN: 0767-3981            Impact factor:   2.748


  9 in total

Review 1.  Reducing safety-related drug attrition: the use of in vitro pharmacological profiling.

Authors:  Joanne Bowes; Andrew J Brown; Jacques Hamon; Wolfgang Jarolimek; Arun Sridhar; Gareth Waldron; Steven Whitebread
Journal:  Nat Rev Drug Discov       Date:  2012-12       Impact factor: 84.694

Review 2.  [Implications of pharmacogenetics in every-day practice].

Authors:  T Gerloff; I Roots
Journal:  Internist (Berl)       Date:  2005-11       Impact factor: 0.743

Review 3.  Value of non-clinical cardiac repolarization assays in supporting the discovery and development of safer medicines.

Authors:  Jean-Pierre Valentin; Chris Pollard; Pierre Lainée; Tim Hammond
Journal:  Br J Pharmacol       Date:  2010-01       Impact factor: 8.739

4.  A novel CMKLR1 small molecule antagonist suppresses CNS autoimmune inflammatory disease.

Authors:  Kareem L Graham; Jian V Zhang; Susanna Lewén; Thomas M Burke; Ton Dang; Maria Zoudilova; Raymond A Sobel; Eugene C Butcher; Brian A Zabel
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

5.  On the potential of in vitro organ-chip models to define temporal pharmacokinetic-pharmacodynamic relationships.

Authors:  Christopher W McAleer; Amy Pointon; Christopher J Long; Rocky L Brighton; Benjamin D Wilkin; L Richard Bridges; Narasimham Narasimhan Sriram; Kristin Fabre; Robin McDougall; Victorine P Muse; Jerome T Mettetal; Abhishek Srivastava; Dominic Williams; Mark T Schnepper; Jeff L Roles; Michael L Shuler; James J Hickman; Lorna Ewart
Journal:  Sci Rep       Date:  2019-07-03       Impact factor: 4.379

6.  A fingerprint pair analysis of hERG inhibition data.

Authors:  Clayton Springer; Katherine L Sokolnicki
Journal:  Chem Cent J       Date:  2013-10-21       Impact factor: 4.215

7.  Translational potential of a mouse in vitro bioassay in predicting gastrointestinal adverse drug reactions in Phase I clinical trials.

Authors:  C Keating; L Ewart; L Grundy; J P Valentin; D Grundy
Journal:  Neurogastroenterol Motil       Date:  2014-05-11       Impact factor: 3.598

8.  The integration of pharmacophore-based 3D QSAR modeling and virtual screening in safety profiling: A case study to identify antagonistic activities against adenosine receptor, A2A, using 1,897 known drugs.

Authors:  Fan Fan; Dora Toledo Warshaviak; Hisham K Hamadeh; Robert T Dunn
Journal:  PLoS One       Date:  2019-01-03       Impact factor: 3.240

9.  A proteomic platform to identify off-target proteins associated with therapeutic modalities that induce protein degradation or gene silencing.

Authors:  Xin Liu; Ye Zhang; Lucas D Ward; Qinghong Yan; Tanggis Bohnuud; Rocio Hernandez; Socheata Lao; Jing Yuan; Fan Fan
Journal:  Sci Rep       Date:  2021-08-04       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.