Evidence map›Paper›PMID 38917196›Full record

ArticlePLoS computational biology2024

A simulation study on the antiarrhythmic mechanisms of established agents in myocardial ischemia and infarction.

Qince Li, Zheng Yan, Zhen Wang, Cuiping Liang, Xiqian Wang, Xianghu Wu, Wei Wang, Yongfeng Yuan, Kuanquan Wang

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Observational
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

9 authors.

Qince LiSchool of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.ORCID 0000-0003-3447-7352
Zheng YanSchool of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.
Zhen WangZibo Central Hospital, Zibo, Shandong, China.ORCID 0009-0003-1142-9435
Cuiping LiangBeijing Institute of Computer Technology and Applications, Beijing, China.
Xiqian WangZibo Central Hospital, Zibo, Shandong, China.
Xianghu WuZibo Central Hospital, Zibo, Shandong, China.
Wei WangSchool of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.
Yongfeng YuanSchool of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.
Kuanquan WangSchool of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China.ORCID 0000-0003-1347-3491

Funding

National Natural Science Foundation of China 62133009
6 · The paper itself

Abstract

Patients with myocardial ischemia and infarction are at increased risk of arrhythmias, which in turn, can exacerbate the overall risk of mortality. Despite the observed reduction in recurrent arrhythmias through antiarrhythmic drug therapy, the precise mechanisms underlying their effectiveness in treating ischemic heart disease remain unclear. Moreover, there is a lack of specialized drugs designed explicitly for the treatment of myocardial ischemic arrhythmia. This study employs an electrophysiological simulation approach to investigate the potential antiarrhythmic effects and underlying mechanisms of various pharmacological agents in the context of ischemia and myocardial infarction (MI). Based on physiological experimental data, computational models are developed to simulate the effects of a series of pharmacological agents (amiodarone, telmisartan, E-4031, chromanol 293B, and glibenclamide) on cellular electrophysiology and utilized to further evaluate their antiarrhythmic effectiveness during ischemia. On 2D and 3D tissues with multiple pathological conditions, the simulation results indicate that the antiarrhythmic effect of glibenclamide is primarily attributed to the suppression of efflux of potassium ion to facilitate the restitution of [K+]o, as opposed to recovery of IKATP during myocardial ischemia. This discovery implies that, during acute cardiac ischemia, pro-arrhythmogenic alterations in cardiac tissue's excitability and conduction properties are more significantly influenced by electrophysiological changes in the depolarization rate, as opposed to variations in the action potential duration (APD). These findings offer specific insights into potentially effective targets for investigating ischemic arrhythmias, providing significant guidance for clinical interventions in acute coronary syndrome.

Indexed as

Anti-Arrhythmia AgentsComputer SimulationModels, CardiovascularMyocardial InfarctionMyocardial IschemiaAction PotentialsAnimalsArrhythmias, CardiacComputational BiologyHumansAnti-Arrhythmia Agents

Identifiers

PMID38917196
PMCPMC11230589

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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.