Literature DB >> 24845945

Comprehensive in vitro Proarrhythmia Assay, a novel in vitro/in silico paradigm to detect ventricular proarrhythmic liability: a visionary 21st century initiative.

Icilio Cavero1, Henry Holzgrefe.   

Abstract

INTRODUCTION: The Comprehensive in vitro Proarrhythmia Assay (CiPA) is a novel safety screening proposal intended to replace the 2005 regulatory strategy recommended by the International Conference of Harmonization S7B guideline. AREAS COVERED: CiPA consists of three components. The first assay evaluates candidate drug effects on key cardiac ion channels. Then, simulations test whether the channel dataset yields proarrhythmic markers on a computationally reconstructed human ventricular cardiomyocyte action potential. Finally, the relevance of in silico conclusions is verified by determining the electrical activity of human stem cell-derived ventricular cardiomyocytes. EXPERT OPINION: The CiPA initiative is intended to move safety pharmacology from a predominantly traditional pharmacodynamics approach to in silico and in vitro drug toxicity assessment. In practice, CiPA assays will have to be compliant with regulatory safety pharmacology tenets. The latter will necessitate international consensus on assay protocols, method standardization and validation and, thus, is likely to involve protracted discussions to achieve agreement. As such, full CiPA implementation by July 2015, as currently envisaged, to supplant E14 guidance for a thorough QT/QTc interval study as prerequisite for noncardiac drug marketing approval, appears to be difficult. Nevertheless, safety stakeholders should do their best to validate and implement the CiPA initiative in the shortest possible time.

Entities:  

Keywords:  cardiac action potential modeling; cardiac ion channel assays; comprehensive in vitro proarrhythmia assay; human stem cell-derived cardiomyocyte; safety pharmacology

Mesh:

Year:  2014        PMID: 24845945     DOI: 10.1517/14740338.2014.915311

Source DB:  PubMed          Journal:  Expert Opin Drug Saf        ISSN: 1474-0338            Impact factor:   4.250


  28 in total

1.  Detecting moxifloxacin-induced QTc prolongation in thorough QT and early clinical phase studies using a highly automated ECG analysis approach.

Authors:  Gopi Krishna Panicker; Dilip R Karnad; Pramod Kadam; Fabio Badilini; Anil Damle; Snehal Kothari
Journal:  Br J Pharmacol       Date:  2016-03-04       Impact factor: 8.739

2.  Genome Editing of Induced Pluripotent Stem Cells to Decipher Cardiac Channelopathy Variant.

Authors:  Priyanka Garg; Angelos Oikonomopoulos; Haodong Chen; Yingxin Li; Chi Keung Lam; Karim Sallam; Marco Perez; Robert L Lux; Michael C Sanguinetti; Joseph C Wu
Journal:  J Am Coll Cardiol       Date:  2018-07-03       Impact factor: 24.094

3.  A new classifier-based strategy for in-silico ion-channel cardiac drug safety assessment.

Authors:  Hitesh B Mistry; Mark R Davies; Giovanni Y Di Veroli
Journal:  Front Pharmacol       Date:  2015-03-24       Impact factor: 5.810

Review 4.  Applications of genetically engineered human pluripotent stem cell reporters in cardiac stem cell biology.

Authors:  Joe Z Zhang; Hongchao Guo; Joseph C Wu
Journal:  Curr Opin Biotechnol       Date:  2018-03-24       Impact factor: 9.740

5.  Semi-mechanistic modelling platform to assess cardiac contractility and haemodynamics in preclinical cardiovascular safety profiling of new molecular entities.

Authors:  Raja Venkatasubramanian; Teresa A Collins; Lawrence J Lesko; Jerome T Mettetal; Mirjam N Trame
Journal:  Br J Pharmacol       Date:  2020-06-18       Impact factor: 8.739

6.  Performance of Machine Learning Algorithms for Qualitative and Quantitative Prediction Drug Blockade of hERG1 channel.

Authors:  Soren Wacker; Sergei Yu Noskov
Journal:  Comput Toxicol       Date:  2017-05-13

Review 7.  Drug-Induced QT/QTc Interval Shortening: Lessons from Drug-Induced QT/QTc Prolongation.

Authors:  Marek Malik
Journal:  Drug Saf       Date:  2016-07       Impact factor: 5.606

Review 8.  Human pluripotent stem cells: Prospects and challenges as a source of cardiomyocytes for in vitro modeling and cell-based cardiac repair.

Authors:  Matthew E Hartman; Dao-Fu Dai; Michael A Laflamme
Journal:  Adv Drug Deliv Rev       Date:  2015-05-14       Impact factor: 15.470

9.  PK/PD Modelling of the QT Interval: a Step Towards Defining the Translational Relationship Between In Vitro, Awake Beagle Dogs, and Humans.

Authors:  Eleonora Marostica; Karel Van Ammel; Ard Teisman; David Gallacher; Jan Van Bocxlaer; Filip De Ridder; Koen Boussery; An Vermeulen
Journal:  AAPS J       Date:  2016-04-26       Impact factor: 4.009

10.  Revealing kinetics and state-dependent binding properties of IKur-targeting drugs that maximize atrial fibrillation selectivity.

Authors:  Nicholas Ellinwood; Dobromir Dobrev; Stefano Morotti; Eleonora Grandi
Journal:  Chaos       Date:  2017-09       Impact factor: 3.642

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