Literature DB >> 21133679

Cardiac ion channel safety profiling on the IonWorks Quattro automated patch clamp system.

Xueying Cao1, Yan Tony Lee, Mats Holmqvist, Yingxin Lin, Yucheng Ni, Dmitri Mikhailov, Haiyan Zhang, Christopher Hogan, Liping Zhou, Qiang Lu, Mary Ellen Digan, Laszlo Urban, Gül Erdemli.   

Abstract

The normal electrophysiologic behavior of the heart is determined by the integrated activity of specific cardiac ionic currents. Mutations in genes encoding the molecular components of individual cardiac ion currents have been shown to result in multiple cardiac arrhythmia syndromes. Presently, 12 genes associated with inherited long QT syndrome (LQTS) have been identified, and the most common mutations are in the hKCNQ1 (LQT1, Jervell and Lange-Nielson syndrome), hKCNH2 (LQT2), and hSCN5A (LQT3, Brugada syndrome) genes. Several drugs have been withdrawn from the market or received black box labeling due to clinical cases of QT interval prolongation, ventricular arrhythmias, and sudden death. Other drugs have been denied regulatory approval owing to their potential for QT interval prolongation. Further, off-target activity of drugs on cardiac ion channels has been shown to be associated with increased mortality in patients with underlying cardiovascular diseases. Since clinical arrhythmia risk is a major cause for compound termination, preclinical profiling for off-target cardiac ion channel interactions early in the drug discovery process has become common practice in the pharmaceutical industry. In the present study, we report assay development for three cardiac ion channels (hKCNQ1/minK, hCa(v)1.2, and hNa(v)1.5) on the IonWorks Quattro™ system. We demonstrate that these assays can be used as reliable pharmacological profiling tools for cardiac ion channel inhibition to assess compounds for cardiac liability during drug discovery.

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Year:  2010        PMID: 21133679     DOI: 10.1089/adt.2010.0333

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  6 in total

Review 1.  Towards chamber specific heart-on-a-chip for drug testing applications.

Authors:  Yimu Zhao; Naimeh Rafatian; Erika Yan Wang; Qinghua Wu; Benjamin F L Lai; Rick Xingze Lu; Houman Savoji; Milica Radisic
Journal:  Adv Drug Deliv Rev       Date:  2020-01-07       Impact factor: 15.470

2.  Evaluating state dependence and subtype selectivity of calcium channel modulators in automated electrophysiology assays.

Authors:  Yuri A Kuryshev; Arthur M Brown; Emir Duzic; Glenn E Kirsch
Journal:  Assay Drug Dev Technol       Date:  2014-02-28       Impact factor: 1.738

3.  Predicting QRS and PR interval prolongations in humans using nonclinical data.

Authors:  L Bergenholm; J Parkinson; J Mettetal; N D Evans; M J Chappell; T Collins
Journal:  Br J Pharmacol       Date:  2017-08-24       Impact factor: 8.739

4.  Automated electrophysiology makes the pace for cardiac ion channel safety screening.

Authors:  Clemens Möller; Harry Witchel
Journal:  Front Pharmacol       Date:  2011-11-23       Impact factor: 5.810

5.  Cardiac Safety Implications of hNav1.5 Blockade and a Framework for Pre-Clinical Evaluation.

Authors:  Gül Erdemli; Albert M Kim; Haisong Ju; Clayton Springer; Robert C Penland; Peter K Hoffmann
Journal:  Front Pharmacol       Date:  2012-01-26       Impact factor: 5.810

6.  Englerin A Agonizes the TRPC4/C5 Cation Channels to Inhibit Tumor Cell Line Proliferation.

Authors:  Cheryl Carson; Pichai Raman; Jennifer Tullai; Lei Xu; Martin Henault; Emily Thomas; Sarita Yeola; Jianmin Lao; Mark McPate; J Martin Verkuyl; George Marsh; Jason Sarber; Adam Amaral; Scott Bailey; Danuta Lubicka; Helen Pham; Nicolette Miranda; Jian Ding; Hai-Ming Tang; Haisong Ju; Pamela Tranter; Nan Ji; Philipp Krastel; Rishi K Jain; Andrew M Schumacher; Joseph J Loureiro; Elizabeth George; Giuliano Berellini; Nathan T Ross; Simon M Bushell; Gül Erdemli; Jonathan M Solomon
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

  6 in total

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