Evidence map›Paper›PMID 31116911›Full record

ArticleActa physiologica (Oxford, England)2019

A novel sympathetic neuronal GABAergic signalling system regulates NE release to prevent ventricular arrhythmias after acute myocardial infarction.

Yugen Shi, Yan Li, Jie Yin, Hesheng Hu, Mei Xue, Xiaolu Li, Wenjuan Cheng, Ye Wang, Xinran Li, Yu Wang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Acta physiologica (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  17. Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection.Frontiers in cell and developmental biology · 2020
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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 1 institution in 1 country.

Yugen ShiDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Yan LiMedical Research Center, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Jie YinDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Hesheng HuDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Mei XueDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Xiaolu LiDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Wenjuan ChengDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Ye WangDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Xinran LiDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Yu WangDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Jiayu TanDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.
Suhua YanDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Shandong, China.ORCID 0000-0003-1148-033X
Shandong University · CN

Funding

China Postdoctoral Science Foundation 2016M602154Doctoral Fund of Ministry of Education of China 20130131110069Independent Innovation Foundation for Jinan Science and Technology Development Planning 201311020Independent Innovation Foundation for Jinan Science and Technology Development Planning 201602173Medical and Health Technology Development Program in Shandong province 2017WS088National Natural Science Foundation of China 81570305National Natural Science Foundation of China Youth Fund 81600265Natural Science Foundation of Shandong Province 2017MH067Shandong Provincial Health Planning Commission science and Research Fund 2016WS0457Shandong Taishan ScholarshipTechnology Development Planning of Shandong Province 2015GSF121033Technology Development Planning of Shandong Province 2016GSF201034
6 · The paper itself

Abstract

aimOveractivation of the sympathetic nerve may lead to severe ventricular arrhythmias (VAs) after myocardial infarction (MI). Thus, targeting sympathetic nerve activity is an effective strategy to prevent VAs clinically. The superior cervical ganglion (SCG), the extracardiac sympathetic ganglion innervating cardiac muscles, has been found to have a GABAergic signalling system, the physiological significance of which is obscure. We aimed to explore the functional significance of SCG post MI and whether the GABAergic signal system is involved in the process.

methodsAdult male Sprague-Dawley rats were divided into seven different groups. Rats in the MI groups underwent ligation of the left anterior descending coronary artery. All animals were used for electrophysiological testing, renal sympathetic nerve activity (RSNA) testing, and ELISA. Primary SCG sympathetic neurons were used for the in vitro study.

resultsThe GABA

conclusionThe GABAergic signalling system is functionally expressed in SCG sympathetic neurons, and activation of this system suppresses sympathetic activity, thereby facilitating cardiac protection and making it a potential target to alleviate VAs.

Indexed as

AnimalsArrhythmias, CardiacCalciumGABAergic NeuronsGene Knockdown TechniquesMaleMyocardial InfarctionNorepinephrineRatsRats, Sprague-DawleyReceptors, GABA-ASignal TransductionCalciumNorepinephrineReceptors, GABA-AarrhythmiasGABAmyocardial infarctionsuperior cervical gangliasympathetic nerve activity

Identifiers

PMID31116911
PMCPMC6813916
OpenAlexW2945813218

What OpenQuestion holds

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LicenceCC BY
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.