Evidence map›Paper›PMID 35154514›Full record

ArticleDisease markers2022

Identification of Atrial Fibrillation-Related lncRNA Based on Bioinformatic Analysis.

Liangzhen Xie, GuanShen Huang, Mingjian Gao, Jianming Huang, Hai Li, Hao Xia, Xiuting Xiang, Saizhu Wu, Yunjun Ruan

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  6. Article
  7. Review
  8. Article
  9. Noncoding RNAs as Key Regulators for Cardiac Development and Cardiovascular Diseases.Journal of cardiovascular development and disease · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Identification of Immune-Related Genes as Biomarkers for Uremia.International journal of general medicine · 2023
    Article
  15. Article
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Liangzhen XieNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.ORCID https://orcid.org/0000-0003-2903-6608
GuanShen HuangNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Mingjian GaoNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Jianming HuangNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Hai LiNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Hao XiaNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Xiuting XiangHuazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, Guangdong 518000, China.
Saizhu WuNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.ORCID https://orcid.org/0000-0002-9763-4928
Yunjun RuanNanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.ORCID https://orcid.org/0000-0002-5514-2183
Nanfang Hospital · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common arrhythmia in the world. Long noncoding RNA (lncRNA) has been found to play an important role in cardiovascular diseases including heart failure, myocardial infarction, and atherosclerosis. However, the role of lncRNA in AF has rarely been studied. The purpose of this study is to identify the expression profile of lncRNA in AF patients, explore the function of lncRNA in AF, and provide a potential scientific basis for the treatment of AF in the future.

methodsThe lncRNA and mRNA expression profiles were obtained from the atrial appendage samples of GSE31821, GSE411774, GSE79768, and GSE115574 in the Gene Expression Omnibus (GEO) database. Functional analysis was performed via Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Variation Analysis (GSVA). The "CIBERSORT" R kit was used to analyze 22 immune cell infiltrates in AF and sinus rhythm (SR) patients. The "CORRPLOT" R package was used to analyze the immune correlation between lncRNA and immune cells.

resultsA total of 6 differentially expressed lncRNAs and 45 differentially expressed mRNAs were identified in the AF and SR groups. GO, KEGG, and GSVA results showed that abnormally expressed lncRNAs were involved in signaling pathways related to the atrium, including the Toll-like receptor signaling pathway and calcium signaling pathway. Immune cell infiltration analysis revealed that native B cells, follicular helper T cells, and resting dendritic cells may be involved in the AF process. In addition, LINC00844 was negatively correlated with resting dendritic cells.

conclusionThe expression profile of lncRNA in AF patients was different from that in normal controls. The physiological functions of these differentially expressed lncRNAs may be related to the pathogenesis of AF, which provide a scientific basis for the prognosis and treatment of patients with AF.

Indexed as

Computational BiologyAtrial FibrillationHumansRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID35154514
PMCPMC8837454
OpenAlexW4210574380

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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.