Literature DB >> 21907296

Best practice in the conduct of key nonclinical cardiovascular assessments in drug development: current recommendations from the Safety Pharmacology Society.

D J Leishman1, T W Beck, N Dybdal, D J Gallacher, B D Guth, M Holbrook, B Roche, R M Wallis.   

Abstract

A cardiovascular safety pharmacology assessment is routinely conducted prior to first administration of a new chemical entity or biopharmaceutical to man. These assessments are used to inform clinicians of potential effects in those initial clinical studies. They may also indicate more subtle effects having more relevance for longer term patient treatment studies such as a potential effect in a Thorough QT (TQT) study or a small persistent increase in blood pressure. Many pharmaceutical companies use the nonclinical studies for early decision making to avoid the clinical development of any compound likely to have a positive signal in a TQT study. These latter purposes generally require more sensitive assay systems and a confidence in their translation to man. At present it is often unclear whether any given study meets the standard required to convincingly detect these subtle effects. The Safety Pharmacology Society (SPS) brought together a group of over 50 experts to discuss best practices for dog and monkey cardiovascular assessments in safety pharmacology and toxicology studies in order to build overall confidence in the ability of a study to test a given hypothesis. It is clearly impossible to dictate a very specific standard practice for assays which are conducted globally in very different facilities using different equipment. However it was clear that a framework could be described to improve comparison and interpretation. Recommendations can be summarized on the basis of three key criteria: 1) know your study population quantitatively and qualitatively, 2) know how well your current study matches the historical data and 3) support your conclusions on the basis of the specific study's determined ability to detect change.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21907296     DOI: 10.1016/j.vascn.2011.08.006

Source DB:  PubMed          Journal:  J Pharmacol Toxicol Methods        ISSN: 1056-8719            Impact factor:   1.950


  13 in total

1.  Inter-study variability of preclinical in vivo safety studies and translational exposure-QTc relationships--a PKPD meta-analysis.

Authors:  V Gotta; F Cools; K van Ammel; D J Gallacher; S A G Visser; F Sannajust; P Morissette; M Danhof; P H van der Graaf
Journal:  Br J Pharmacol       Date:  2015-07-21       Impact factor: 8.739

Review 2.  microRNAs as pharmacogenomic biomarkers for drug efficacy and drug safety assessment.

Authors:  Igor Koturbash; William H Tolleson; Lei Guo; Dianke Yu; Si Chen; Huixiao Hong; William Mattes; Baitang Ning
Journal:  Biomark Med       Date:  2015-10-26       Impact factor: 2.851

Review 3.  Cardiac imaging approaches to evaluate drug-induced myocardial dysfunction.

Authors:  Jennifer B Christian; John K Finkle; Bonnie Ky; Pamela S Douglas; David E Gutstein; Paul D Hockings; Pierre Lainee; Daniel J Lenihan; Jay W Mason; Philip T Sager; Thomas G Todaro; Karen A Hicks; Robert C Kane; Hon-Sum Ko; JoAnn Lindenfeld; Eric L Michelson; James Milligan; Jiefen Y Munley; Joel S Raichlen; Amir Shahlaee; Colette Strnadova; Brenda Ye; J Rick Turner
Journal:  Am Heart J       Date:  2012-10-26       Impact factor: 4.749

4.  Predicting QTc Prolongation in Man From Only In Vitro Data.

Authors:  D J Leishman
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-08-20

5.  Human induced pluripotent stem cell-derived versus adult cardiomyocytes: an in silico electrophysiological study on effects of ionic current block.

Authors:  M Paci; J Hyttinen; B Rodriguez; S Severi
Journal:  Br J Pharmacol       Date:  2015-10-15       Impact factor: 8.739

6.  Can non-clinical repolarization assays predict the results of clinical thorough QT studies? Results from a research consortium.

Authors:  Eunjung Park; Gary A Gintant; Daoqin Bi; Devi Kozeli; Syril D Pettit; Jennifer B Pierson; Matthew Skinner; James Willard; Todd Wisialowski; John Koerner; Jean-Pierre Valentin
Journal:  Br J Pharmacol       Date:  2018-01-15       Impact factor: 8.739

7.  Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity.

Authors:  Elisa Passini; Oliver J Britton; Hua Rong Lu; Jutta Rohrbacher; An N Hermans; David J Gallacher; Robert J H Greig; Alfonso Bueno-Orovio; Blanca Rodriguez
Journal:  Front Physiol       Date:  2017-09-12       Impact factor: 4.566

8.  Opportunities to Apply the 3Rs in Safety Assessment Programs.

Authors:  Fiona Sewell; Joanna Edwards; Helen Prior; Sally Robinson
Journal:  ILAR J       Date:  2016-12

9.  Assessment of Interspecies Differences in Drug-Induced QTc Interval Prolongation in Cynomolgus Monkeys, Dogs and Humans.

Authors:  V F S Dubois; W E A de Witte; S A G Visser; M Danhof; O Della Pasqua
Journal:  Pharm Res       Date:  2015-11-09       Impact factor: 4.200

10.  Social housing of non-rodents during cardiovascular recordings in safety pharmacology and toxicology studies.

Authors:  Helen Prior; Anna Bottomley; Pascal Champéroux; Jason Cordes; Eric Delpy; Noel Dybdal; Nick Edmunds; Mike Engwall; Mike Foley; Michael Hoffmann; Robert Kaiser; Ken Meecham; Stéphane Milano; Aileen Milne; Rick Nelson; Brian Roche; Jean-Pierre Valentin; Gemma Ward; Kathryn Chapman
Journal:  J Pharmacol Toxicol Methods       Date:  2016-03-31       Impact factor: 1.950

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.