Evidence map›Paper›PMID 26319023›Full record

ArticleBMC cardiovascular disorders2015

MicroRNA profiling in the left atrium in patients with non-valvular paroxysmal atrial fibrillation.

Jiangang Wang, Shiqiu Song, Changqing Xie, Jie Han, Yan Li, Jiahai Shi, Meng Xin, Jun Wang, Tiange Luo, Xu Meng and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The role of miR-155 in cardiovascular diseases: Potential diagnostic and therapeutic targets.International journal of cardiology. Cardiovascular risk and prevention · 2025
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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

11 authors at 5 institutions in 2 countries.

Jiangang WangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. wangjiangang7545@126.com.
Shiqiu SongDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. songshiqiu@hotmail.com.
Changqing XieDepartment of Internal Medicine, Vidant Medical Center, Broody School of Medicine, East Carolina University, Greenville, North Carolina, 27834, USA. xcqtiger@163.com.
Jie HanDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. drhanjie@163.com.
Yan LiDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. alanyanli@163.com.
Jiahai ShiDepartment of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, China. happysjh167@163.com.
Meng XinDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. chouniangniang@126.com.
Jun WangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. champignonnn@hotmail.com.
Tiange LuoDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. luotiangelocker@sina.com.
Xu MengDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, P.R. China. mxu@263.net.
Bo YangUniversity of Michigan Cardiovascular Center, University of Michigan, Ann Arbor, Michigan, 48109, USA. boya@med.umich.edu.
Beijing Anzhen Hospital · CNCapital Medical University · CNEast Carolina University · USNantong University · CNUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to identify the miRNA expression profiles in left atrial appendage, with the intention of identifying miRNAs that were significantly associated with non-valvular paroxysmal AF.

methodsThe RNA samples were isolated from healthy controls (n = 5) and patients with atrial fibrillation (n = 8). To confirm the findings obtained by analyzing the miRNA profile, we measured the expression of selected miRNAs in the entire cohort by quantitative PCR.

resultsTen specific miRNAs were found to be differentially expressed between atrial fibrillation and healthy controls with more than a 2-fold change (P < 0.05). Consistent with the data obtained for the profile, expression levels of miRNA-155, miRNA-146b-5p and miRNA-19b were significantly increased in patients with atrial fibrillation. Interestingly, levels of miRNA-146b-5p and miRNA-155, which are known to be associated with inflammation, were independently and positively associated with left atrium dimension, atrial fibrillation duration and high sensitivity C-reactive protein levels. By using four Databases (TargetScan, miRanda, Starbase Clip-seq and miRDB) to perform target gene prediction, there were four genes were related to the inflammatory response and fibrosis, and three others encoding cardiac ion channel proteins. As a result of TaqMan qPCR and Western analysis, the relative mRNA and protein expression level of three target genes (DIER-1, TIMP-4 and CACNA1C) were significantly lower in the atrial fibrillation group than that in the healthy control group.

conclusionsExpression of inflammation-associated miRNAs is significantly up-regulated in the left atrial appendage of patients with non-valvular paroxysmal atrial fibrillation, which may play a significant role in electrical and structural remodeling.

Indexed as

Heart AtriaAdultAtrial FibrillationFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedMicroRNAs

Identifiers

PMID26319023
PMCPMC4553004
OpenAlexW1925529033

What OpenQuestion holds

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LicenceCC BY
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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.