Evidence map›Paper›PMID 21838757›Full record

ArticleBritish journal of pharmacology2012

Dynamic monitoring of beating periodicity of stem cell-derived cardiomyocytes as a predictive tool for preclinical safety assessment.

Yama A Abassi, Biao Xi, Nan Li, Wei Ouyang, Alexander Seiler, Manfred Watzele, Ralf Kettenhofen, Heribert Bohlen, Andreas Ehlich, Eugen Kolossov and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 125 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 4 countries.

Yama A AbassiACEA Biosciences Inc., San Diego, California, USA. yabassi@aceabio.com
Biao Xi
Nan Li
Wei Ouyang
Alexander Seiler
Manfred Watzele
Ralf Kettenhofen
Heribert Bohlen
Andreas Ehlich
Eugen Kolossov
Xiaobo Wang
Xiao Xu
European Automobile Manufacturers Association · BERoche Pharma AG (Germany) · DEHigh Throughput Biology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeCardiac toxicity is a major concern in drug development and it is imperative that clinical candidates are thoroughly tested for adverse effects earlier in the drug discovery process. In this report, we investigate the utility of an impedance-based microelectronic detection system in conjunction with mouse embryonic stem cell-derived cardiomyocytes for assessment of compound risk in the drug discovery process. EXPERIMENTAL APPROACH: Beating of cardiomyocytes was measured by a recently developed microelectronic-based system using impedance readouts. We used mouse stem cell-derived cardiomyocytes to obtain dose-response profiles for over 60 compounds, including ion channel modulators, chronotropic/ionotropic agents, hERG trafficking inhibitors and drugs known to induce Torsades de Pointes arrhythmias. KEY

resultsThis system sensitively and quantitatively detected effects of modulators of cardiac function, including some compounds missed by electrophysiology. Pro-arrhythmic compounds produced characteristic profiles reflecting arrhythmia, which can be used for identification of other pro-arrhythmic compounds. The time series data can be used to identify compounds that induce arrhythmia by complex mechanisms such as inhibition of hERG channels trafficking. Furthermore, the time resolution allows for assessment of compounds that simultaneously affect both beating and viability of cardiomyocytes. CONCLUSIONS AND IMPLICATIONS: Microelectronic monitoring of stem cell-derived cardiomyocyte beating provides a high throughput, quantitative and predictive assay system that can be used for assessment of cardiac liability earlier in the drug discovery process. The convergence of stem cell technology with microelectronic monitoring should facilitate cardiac safety assessment.

Indexed as

AnimalsCalcium ChannelsCells, CulturedDrug DiscoveryDrug Evaluation, PreclinicalElectric ImpedanceEmbryonic Stem CellsERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsMiceMyocytes, CardiacPotassium ChannelsSodium ChannelsTorsades de PointesCalcium ChannelsERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsPotassium ChannelsSodium Channels

Identifiers

PMID21838757
PMCPMC3372727
OpenAlexW1748447088

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.