Evidence map›Paper›PMID 28456609›Full record

ArticleJournal of pharmacological and toxicological methods2017

Computational modeling for cardiac safety pharmacology analysis: Contribution of fibroblasts.

Xin Gao, Tyler Engel, Brian E Carlson, Tetsuro Wakatsuki

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmacological and toxicological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Nonmyocytes as electrophysiological contributors to cardiac excitation and conduction.American journal of physiology. Heart and circulatory physiology · 2023
    Review
  3. Review
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

4 authors at 2 institutions in 1 country.

Xin GaoDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, United States.
Tyler EngelInvivoSciences, Inc., Madison, WI, United States.
Brian E CarlsonDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, United States.
Tetsuro WakatsukiInvivoSciences, Inc., Madison, WI, United States. Electronic address: tetsuro@invivosciences.com.
Invivo Sciences (United States) · USUniversity of Michigan–Ann Arbor · US

Funding

Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
THE EFFECTS OF MYOFIBROBLASTS ON ELECTROMECHANICAL FUNCTION OF MODEL HEART TISSUER01HL109505 · NHLBI · WASHINGTON UNIVERSITY · PI ELSON, ELLIOT L., GENIN, GUY M · 2012 to 2015
$2.0M
Engineered Tissue Based Phenotypic Screening of Mixture based LibrariesR43AG052220 · NIA · INVIVOSCIENCES, INC. · PI WAKATSUKI, TETSURO · 2015 to 2016
$759k
NHLBI NIH HHS R01 HL109505NHLBI NIH HHS U01 HL122199NIA NIH HHS R43 AG052220
6 · The paper itself

Abstract

introductionDrug-induced proarrhythmic potential is an important regulatory criterion in safety pharmacology. The application of in silico approaches to predict proarrhythmic potential of new compounds is under consideration as part of future guidelines. Current approaches simulate the electrophysiology of a single human adult ventricular cardiomyocyte. However, drug-induced proarrhythmic potential can be different when cardiomyocytes are surrounded by non-muscle cells. Incorporating fibroblasts in models of myocardium is important particularly for predicting a drugs cardiac liability in the aging population - a growing population who take more medications and exhibit increased cardiac fibrosis. In this study, we used computational models to investigate the effects of fibroblast coupling on the electrophysiology and response to drugs of cardiomyocytes.

methodsA computational model of cardiomyocyte electrophysiology and ion handling (O'Hara, Virag, Varro, & Rudy, 2011) is coupled to a passive model of fibroblast electrophysiology to test the effects of three compounds that block cardiomyocyte ion channels. Results are compared to model results without fibroblast coupling to see how fibroblasts affect cardiomyocyte action potential duration at 90% repolarization (APD

resultsSimulation results show changes in cardiomyocyte APD DISCUSSION: Coupling cardiomyocytes and fibroblasts are predicted to decrease proarrhythmic susceptibility under dofetilide, vardenafil and nebivolol block. However, this result is sensitive to parameters which define the electrophysiological function of the fibroblast. Fibroblast membrane capacitance and conductance (C

Indexed as

Computer SimulationAnimalsAnti-Arrhythmia AgentsDrug Evaluation, PreclinicalFibroblastsHumansMembrane PotentialsMyocytes, CardiacAnti-Arrhythmia Agents

Identifiers

PMID28456609
PMCPMC5629969
OpenAlexW2607785757

What OpenQuestion holds

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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.