Evidence map›Paper›PMID 33564282›Full record

ArticleEXCLI journal2021

Common differentially expressed genes and pathways correlating both coronary artery disease and atrial fibrillation.

Youjing Zheng, Jia-Qiang He

Open access · greenAbstract read
In one paragraph

Article in EXCLI journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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

2 authors at 1 institution in 1 country.

Youjing ZhengDepartment of Biomedical Sciences and Pathobiology, College of Veterinary Medicine, Virginia Tech, Blacksburg, VA 24061, USA.
Jia-Qiang HeDepartment of Biomedical Sciences and Pathobiology, College of Veterinary Medicine, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0002-0640-5960
Virginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) and atrial fibrillation (AF) share common risk factors, such as hypertension and diabetes. The patients with CAD often suffer concomitantly AF, but how two diseases interact with each other at cellular and molecular levels remain largely unknown. The present study aims to dissect the common differentially expressed genes (DEGs) that are concurrently associated with CAD and AF. Two datasets [GSE71226 for CAD) and GSE31821 for AF] were analyzed with GEO2R and Venn Diagram to identify the DEGs. Signaling pathways, gene enrichments, and protein-protein interactions (PPI) of the identified common DEGs were further analyzed with Kyoto Encyclopedia of Gene and Genome (KEGG), Database for Annotation, Visualization and Integrated Discovery (DAVID), and Search Toll for the Retrieval of Interacting Genes (STRING). 565 up- and 1367 down-regulated genes in GSE71226 and 293 up- and 68 down-regulated genes in GSE31821 were identified. Among those, 21 common DEGs were discovered from both datasets, which lead to the findings of 4 CAD and 21 AF pathways, 3 significant gene enrichments (intracellular cytoplasm, protein binding, and vascular labyrinthine layer), and 3 key proteins (membrane metallo-endopeptidase (MME), transferrin receptor 1 (TfR1), and Lysosome-associated membrane glycoprotein 1 (LAMP1)). Together, these data implied that these three proteins may play a central role in development of both CAD and AF.

Indexed as

atrial fibrillationbioinformaticscoronary artery diseasedifferentially expressed genesignaling pathway

Identifiers

PMID33564282
PMCPMC7868642
OpenAlexW3128755243

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.