Evidence map›Paper›PMID 38459249›Full record

ArticleMolecular diagnosis & therapy2024

Identification of Plasmatic MicroRNA-206 as New Predictor of Early Recurrence of Atrial Fibrillation After Catheter Ablation Using Next-generation Sequencing.

Filip Šustr, Táňa Macháčková, Martin Pešl, Jana Svačinova, Karolína Trachtová, Zdeněk Stárek, Bohuslav Kianička, Ondřej Slabý, Jan Novák

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Article in Molecular diagnosis & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 3 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

9 authors at 2 institutions in 1 country.

Filip Šustr2nd Department of Internal Medicine, St. Anne's University Hospital in Brno and Faculty of Medicine of Masaryk University, Pekařská 53, 602 00, Brno, Czech Republic.
Táňa MacháčkováOndrej Slaby Joint Research Group, Central European Institute of Technology and Department of Biology of Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Martin Pešl1st Department of Internal Medicine, Cardioangiology, St. Anne's University Hospital in Brno and Faculty of Medicine of Masaryk University, Brno, Czech Republic.
Jana SvačinovaDepartment of Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Karolína TrachtováOndrej Slaby Joint Research Group, Central European Institute of Technology and Department of Biology of Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Zdeněk Stárek1st Department of Internal Medicine, Cardioangiology, St. Anne's University Hospital in Brno and Faculty of Medicine of Masaryk University, Brno, Czech Republic.
Bohuslav Kianička2nd Department of Internal Medicine, St. Anne's University Hospital in Brno and Faculty of Medicine of Masaryk University, Pekařská 53, 602 00, Brno, Czech Republic.
Ondřej SlabýOndrej Slaby Joint Research Group, Central European Institute of Technology and Department of Biology of Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Jan Novák2nd Department of Internal Medicine, St. Anne's University Hospital in Brno and Faculty of Medicine of Masaryk University, Pekařská 53, 602 00, Brno, Czech Republic. jan.novak@fnusa.cz.ORCID http://orcid.org/0000-0001-5204-2067
Masaryk University · CZCentral European Institute of Technology · CZ

Funding

European Union Next Generation Cardiovascular Diseases" (Programme EXCELESEuropean Union Next Generation "National Institute for Research of MetabolicEuropean Union Next Generation No. LX22NPO5104)Fakultni Nemocnice u Svaté Anny v Brně Institutional support projectMinisterstvo Školství, Mládeže a Tělovýchovy Specific research of the Masaryk University MUNI/A/1156/2021
6 · The paper itself

Abstract

backgroundCatheter ablation (CA) of atrial fibrillation (AF) is indicated in patients with recurrent and symptomatic AF episodes. Despite the strict inclusion/exclusion criteria, AF recurrence after CA remains high. Identification of a novel biomarker that would predict AF recurrence would help to stratify the patients. The aim of the study was to seek novel biomarkers among the plasmatic microRNAs (miRNAs, miRs).

methodsA prospective monocentric study was conducted. A total of 49 consecutive AF patients indicated for CA were included. Blood sampling was performed prior to CA. RNA was isolated from plasma using commercial kits. In the exploration phase, small RNA sequencing was performed in ten AF patients (five with and five without AF recurrence) using Illumina instrument. In the validation phase, levels of selected miRNAs were determined using quantitative reverse transcription polymerase chain reaction (qRT-PCR) in all participants.

resultsAltogether, 22 miRNAs were identified as altered between the groups by next-generation sequencing (using the DESeq2 algorithm). Using qRT-PCR, levels of the five most altered miRNAs (miR-190b/206/326/505-5p/1296-5p) were verified in the whole cohort. Plasma levels of hsa-miR-206 were significantly higher in patients with early (within 6 months) AF recurrence and showed an increase of risk recurrence,2.65 times by every increase in its level by 1 unit in the binary logistic regression.

conclusionWe have identified a set of 22 plasmatic miRNAs that differ between the patients with and without AF recurrence after CA and confirmed hsa-miR-206 as a novel miRNA associated with early AF recurrence. Results shall be verified in a larger independent cohort.

Indexed as

Atrial FibrillationBiomarkersCatheter AblationHigh-Throughput Nucleotide SequencingMicroRNAsRecurrenceAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesBiomarkersMicroRNAsMIRN206 microRNA, human

Identifiers

PMID38459249
PMCPMC11068688
OpenAlexW4392598829

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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.