Evidence map›Paper›PMID 35711306›Full record

ArticleFrontiers in physiology2022

Mechanistic Insights Into Inflammation-Induced Arrhythmias: A Simulation Study.

Xiangpeng Bi, Shugang Zhang, Huasen Jiang, Wenjian Ma, Yuanfei Li, Weigang Lu, Fei Yang, Zhiqiang Wei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Arrhythmias in Autoimmune Diseases: Immune-Mediated Mechanisms and Management.Journal of cardiovascular development and disease · 2026
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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

8 authors at 2 institutions in 1 country.

Xiangpeng BiCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Shugang ZhangCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Huasen JiangCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Wenjian MaCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Yuanfei LiCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Weigang LuDepartment of Educational Technology, Ocean University of China, Qingdao, China.
Fei YangSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China.
Zhiqiang WeiCollege of Computer Science and Technology, Ocean University of China, Qingdao, China.
Ocean University of China · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases are the primary cause of death of humans, and among these, ventricular arrhythmias are the most common cause of death. There is plausible evidence implicating inflammation in the etiology of ventricular fibrillation (VF). In the case of systemic inflammation caused by an overactive immune response, the induced inflammatory cytokines directly affect the function of ion channels in cardiomyocytes, leading to a prolonged action potential duration (APD). However, the mechanistic links between inflammatory cytokine-induced molecular and cellular influences and inflammation-associated ventricular arrhythmias need to be elucidated. The present study aimed to determine the potential impact of systemic inflammation on ventricular electrophysiology by means of multiscale virtual heart models. The experimental data on the ionic current of three major cytokines [i.e., tumor necrosis factor-α (TNF-α), interleukin-1 (IL-1β), and interleukin-6 (IL-6)] were incorporated into the cell model, and the effects of each cytokine and their combined effect on the cell action potential (AP) were evaluated. Moreover, the integral effect of these cytokines on the conduction of excitation waves was also investigated in a tissue model. The simulation results suggested that inflammatory cytokines significantly prolonged APD, enhanced the transmural and regional repolarization heterogeneities that predispose to arrhythmias, and reduced the adaptability of ventricular tissue to fast heart rates. In addition, simulated pseudo-ECGs showed a prolonged QT interval-a manifestation consistent with clinical observations. In summary, the present study provides new insights into ventricular arrhythmias associated with inflammation.

Indexed as

cardiac simulationCOVID-19inflammationrat ventricleventricular arrhythmia

Identifiers

PMID35711306
PMCPMC9196871
OpenAlexW4281699579

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.