Literature DB >> 25246669

The concordance between nonclinical and phase I clinical cardiovascular assessment from a cross-company data sharing initiative.

Lorna Ewart1, Mike Aylott2, Mark Deurinck2, Mike Engwall2, David J Gallacher2, Helena Geys2, Philip Jarvis2, Haisong Ju2, Derek Leishman2, Louise Leong2, Nick McMahon2, Andy Mead2, Phil Milliken2, Willi Suter2, Ard Teisman2, Karel Van Ammel2, Hugo M Vargas2, Rob Wallis3, Jean-Pierre Valentin2.   

Abstract

It is widely accepted that more needs to be done to bring new, safe, and efficacious drugs to the market. Cardiovascular toxicity detected both in early drug discovery as well as in the clinic, is a major contributor to the high failure rate of new molecules. The growth of translational safety offers a promising approach to improve the probability of success for new molecules. Here we describe a cross-company initiative to determine the concordance between the conscious telemetered dog and phase I outcome for 3 cardiovascular parameters. The data indicate that, in the context of the methods applied in this analysis, the ability to detect compounds that affect the corrected QT interval (QTc) was good within the 10-30x exposure range but the predictive or detective value for heart rate and diastolic blood pressure was poor. These findings may highlight opportunities to refine both the animal and the clinical study designs, as well as refocusing the assessment of value of dog cardiovascular assessments beyond phase 1. This investigation has also highlighted key considerations for cross-company data sharing and presents a unique learning opportunity to improve future translational projects.
© The Author 2014. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  cardiovascular system; concordance; phase I; safety pharmacology; statistical analysis; translational safety

Mesh:

Year:  2014        PMID: 25246669     DOI: 10.1093/toxsci/kfu198

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  15 in total

1.  Can an early phase clinical pharmacology study replace a thorough QT study? Experience with a novel H3-receptor antagonist/inverse agonist.

Authors:  Rashmi R Shah; Pierre Maison-Blanche; Philippe Robert; Emmanuel Denis; Thierry Duvauchelle
Journal:  Eur J Clin Pharmacol       Date:  2016-02-16       Impact factor: 2.953

2.  Human ex-vivo action potential model for pro-arrhythmia risk assessment.

Authors:  Guy Page; Phachareeya Ratchada; Yannick Miron; Guido Steiner; Andre Ghetti; Paul E Miller; Jack A Reynolds; Ken Wang; Andrea Greiter-Wilke; Liudmila Polonchuk; Martin Traebert; Gary A Gintant; Najah Abi-Gerges
Journal:  J Pharmacol Toxicol Methods       Date:  2016-05-25       Impact factor: 1.950

Review 3.  Workshop Report: FDA Workshop on Improving Cardiotoxicity Assessment With Human-Relevant Platforms.

Authors:  Li Pang; Philip Sager; Xi Yang; Hong Shi; Frederick Sannajust; Mathew Brock; Joseph C Wu; Najah Abi-Gerges; Beverly Lyn-Cook; Brian R Berridge; Norman Stockbridge
Journal:  Circ Res       Date:  2019-10-10       Impact factor: 17.367

Review 4.  "Digital biomarkers" in preclinical heart failure models - a further step towards improved translational research.

Authors:  Alexander Schmidt; Jakob Balitzki; Ljubica Grmaca; Julia Vogel; Philip Boehme; Katharina Boden; Jörg Hüser; Hubert Truebel; Thomas Mondritzki
Journal:  Heart Fail Rev       Date:  2022-08-24       Impact factor: 4.654

Review 5.  Evaluation of drug-induced QT interval prolongation in animal and human studies: a literature review of concordance.

Authors:  Hugo M Vargas; Alan S Bass; John Koerner; Sherri Matis-Mitchell; Michael K Pugsley; Matthew Skinner; Matthew Burnham; Matthew Bridgland-Taylor; Syril Pettit; Jean-Pierre Valentin
Journal:  Br J Pharmacol       Date:  2015-07-14       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.  Toxicity testing in the 21st century beyond environmental chemicals.

Authors:  Costanza Rovida; Shoji Asakura; Mardas Daneshian; Hana Hofman-Huether; Marcel Leist; Leo Meunier; David Reif; Anna Rossi; Markus Schmutz; Jean-Pierre Valentin; Joanne Zurlo; Thomas Hartung
Journal:  ALTEX       Date:  2015       Impact factor: 6.043

8.  Integrating in vitro data and physiologically based kinetic modeling-facilitated reverse dosimetry to predict human cardiotoxicity of methadone.

Authors:  Miaoying Shi; Hans Bouwmeester; Ivonne M C M Rietjens; Marije Strikwold
Journal:  Arch Toxicol       Date:  2020-05-04       Impact factor: 5.153

9.  Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop.

Authors:  Blanca Rodriguez; Annamaria Carusi; Najah Abi-Gerges; Rina Ariga; Oliver Britton; Gil Bub; Alfonso Bueno-Orovio; Rebecca A B Burton; Valentina Carapella; Louie Cardone-Noott; Matthew J Daniels; Mark R Davies; Sara Dutta; Andre Ghetti; Vicente Grau; Stephen Harmer; Ivan Kopljar; Pier Lambiase; Hua Rong Lu; Aurore Lyon; Ana Minchole; Anna Muszkiewicz; Julien Oster; Michelangelo Paci; Elisa Passini; Stefano Severi; Peter Taggart; Andy Tinker; Jean-Pierre Valentin; Andras Varro; Mikael Wallman; Xin Zhou
Journal:  Europace       Date:  2015-11-29       Impact factor: 5.214

10.  Quantitative Comparison of Effects of Dofetilide, Sotalol, Quinidine, and Verapamil between Human Ex vivo Trabeculae and In silico Ventricular Models Incorporating Inter-Individual Action Potential Variability.

Authors:  Oliver J Britton; Najah Abi-Gerges; Guy Page; Andre Ghetti; Paul E Miller; Blanca Rodriguez
Journal:  Front Physiol       Date:  2017-08-18       Impact factor: 4.566

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