Evidence mapPaperPMID 33859569Full record

ArticleFrontiers in physiology2021

Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression.

Qian-Chen Wang, Zhen-Yu Wang, Qian Xu, Ruo-Bing Li, Guo-Gang Zhang, Rui-Zheng Shi

Open access · goldAbstract read
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Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.6field-weighted citation impact, top 1% 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

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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

7 citing papers in PubMed, 28 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

6 authors at 2 institutions in 1 country.

Qian-Chen WangDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China.
Zhen-Yu WangDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Qian XuDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, Changsha, China.
Ruo-Bing LiDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China.
Guo-Gang ZhangDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China.
Rui-Zheng ShiDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEpicardial adipose tissue (EAT) is closely adjacent to the coronary arteries and myocardium, its role as an endocrine organ to affect the pathophysiological processes of the coronary arteries and myocardium has been increasingly recognized. However, the specific gene expression profiles of EAT in coronary artery disease (CAD) has not been well characterized. Our aim was to investigate the role of EAT in CAD at the gene level.

methodsHere, we compared the histological and gene expression difference of EAT between CAD and non-CAD. We investigated the gene expression profiles in the EAT of patients with CAD through the high-throughput RNA sequencing. We performed bioinformatics analysis such as functional enrichment analysis and protein-protein interaction network construction to obtain and verify the hub differentially expressed genes (DEGs) in the EAT of CAD.

resultsOur results showed that the size of epicardial adipocytes in the CAD group was larger than in the control group. Our findings on the EAT gene expression profiles of CAD showed a total of 747 DEGs (fold change >2,

conclusionEpicardial adipose tissue in CAD shows unique gene expression profiles and may act as key regulators in the CAD pathological process.

Indexed as

bioinformatics analysiscoronary artery diseaseepicardial adipose tissuegene expression profilesmRNA

Identifiers

PMID33859569
PMCPMC8042318
OpenAlexW3150477685

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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 Socratic graph.