Evidence map›Paper›PMID 35660473›Full record

ArticleHeart rhythm2022

Serum exosomal long noncoding RNAs as a diagnostic biomarker for atrial fibrillation.

Ji-Young Kang, Dasom Mun, Hyoeun Kim, Nuri Yun, Boyoung Joung

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Heart rhythm, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  17. Research progress of non-coding RNA in atrial fibrillation.Frontiers in cardiovascular medicine · 2023
    Review
  18. Advances in Therapeutic Applications of Extracellular Vesicles.International journal of nanomedicine · 2023
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Ji-Young KangDivision of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dasom MunDivision of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyoeun KimDepartment of Biochemistry and Molecular Biology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Nuri YunInstitute of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.
Boyoung JoungDivision of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: cby6908@yuhs.ac.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomal long noncoding RNAs (lncRNAs) are known as ideal diagnostic biomarkers of various diseases. However, there are no reports on the use of serum exosomal lncRNAs as diagnostic biomarkers for atrial fibrillation (AF).

objectiveThe purpose of this study was to explore serum exosomal lncRNAs as a useful tool for diagnosing AF.

methodsSerum exosomes from patients with persistent AF and controls were isolated using a polymer-based exosome precipitation kit. We conducted a multiphase process including screening and 2 independent validation phases. In the screening phase, serum exosomal lncRNA expression profiles were examined using RNA sequencing analysis. In 2 validation phases, we evaluated the expression levels of candidate exosomal lncRNAs using quantitative reverse transcription polymerase chain reaction. Finally, we performed different statistical and functional analyses.

resultsAfter the screening phase, we identified 26 differentially expressed lncRNAs (ie, 15 upregulated and 11 downregulated lncRNAs with a |fold change| ≥2 and P <.05) in serum exosomes from patients with persistent AF compared with controls. We then screened out 6 exosomal lncRNAs as biomarker candidates following parameters: read length ≥200 nucleotides; exon number ≥2; and coding potential score <0.1. In 2 validation phases, exosomal lncRNAs LOC105377989 and LOC107986997 were consistently upregulated in the serum of patients with persistent AF compared with controls (P <.0001). Moreover, both exosomal lncRNAs exhibited significant diagnostic validity for AF. Notably, exosomal lncRNA LOC107986997 was involved in AF-related pathophysiological mechanisms.

conclusionSerum-derived exosomal lncRNA LOC107986997 could serve as a potential biomarker for AF diagnosis.

Indexed as

Atrial FibrillationExosomesRNA, Long NoncodingBiomarkersHumansBiomarkersRNA, Long NoncodingAtrial fibrillationBiomarkerDiagnosisExosomeLong noncoding RNAs

Identifiers

PMID35660473
OpenAlexW4282002298

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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.