Evidence map›Paper›PMID 34389797›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2021

LncRNA XIST shuttled by adipose tissue-derived mesenchymal stem cell-derived extracellular vesicles suppresses myocardial pyroptosis in atrial fibrillation by disrupting miR-214-3p-mediated Arl2 inhibition.

Boyu Yan, Ting Liu, Chang Yao, Xinglong Liu, Qian Du, Lihua Pan

Abstract read
PubMed Publisher
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  5. Caspase-1 in cancer and inflammatory diseases: a potential therapeutic target.Apoptosis : an international journal on programmed cell death · 2026
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  20. Non-coding RNA and arrhythmias: expression, function, and molecular mechanism.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Review
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

6 authors at 2 institutions in 1 country.

Boyu Yan *Department of Cardiology, Pingxiang People's Hospital, Pingxiang, People's Republic of China.
Ting Liu *Department of Pharmacy, Pingxiang People's Hospital, Pingxiang, People's Republic of China.
Chang YaoDepartment of Cardiology, Pingxiang People's Hospital, Pingxiang, People's Republic of China.
Xinglong LiuDepartment of Cardiology, Pingxiang People's Hospital, Pingxiang, People's Republic of China.
Qian DuDepartment of Cardiology, Pingxiang People's Hospital, Pingxiang, People's Republic of China.
Lihua PanDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, People's Republic of China. panlihua2020@163.com.ORCID 0000-0002-7069-5712
Jiangxi Pingxiang People's Hospital · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms underlying atrial fibrillation (AF), a type of heart arrhythmia, have not been fully identified. Long noncoding RNAs (lncRNAs) have been implicated in the progression of AF. The current study aimed to ascertain the means by which X-inactive specific transcript (XIST), a lncRNA, contributes to the pathogenesis of AF in an animal model or in atrial myocytes. Extracellular vesicles (EVs) derived from mouse adipose tissue-derived mesenchymal stem cells (AMSCs) were isolated, transfected with XIST, and either injected into AF mouse models or incubated with atrial myocytes. The in vitro and in vivo effects of EV-derived XIST on myocardial pyroptosis were determined by Western blot analysis of pyroptosis-related protein and an ELISA for inflammatory factors. Bioinformatics analysis revealed a relationship between XIST, microRNA (miR)-214-3p, and Arl2, which was subsequently verified by a dual luciferase assay and RNA immunoprecipitation. Functional experiments were performed to elucidate whether changes in miR-214-3p or Arl2 regulated the effect of XIST on myocardial pyroptosis. Overexpressed XIST from AMSC-EVs were found to decrease myocardial pyroptosis while alleviating inflammation, which was demonstrated by reduced expression of nucleotide-binding and oligomerization domain-like receptor family pyrin domain-containing 3 (NLRP3), apoptosis-associated speck-like protein containing a CARD (ASC), cleared-caspase-1/caspase-1 and gasdermin D (GSDMD), as well as the amount of interleukin (IL)-1β and IL-18 in both the cardiomyocytes and AF mouse tissues. Mechanistically, XIST is a competing endogenous RNA (ceRNA) of miR-214-3p, triggering upregulation of its target gene Arl2. Silencing of Arl2 or overexpression miR-214-3p reversed the effects of XIST on inflammation and pyroptosis. Taken together, the key findings of our study suggest that XIST may blunt myocardial pyroptosis by absorbing miR-214-3p to promote Arl2 expression, providing encouraging insight into XIST-based targeted therapy for AF.

Indexed as

PyroptosisAnimalsAtrial FibrillationCell-Derived MicroparticlesCell LineDown-RegulationGTP-Binding ProteinsMesenchymal Stem CellsMiceMicroRNAsNLR Family, Pyrin Domain-Containing 3 ProteinRNA, Long NoncodingArl2 protein, mouseGTP-Binding ProteinsMicroRNAsMirn214 microRNA, mouseNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, mouseRNA, Long NoncodingXIST non-coding RNA

Identifiers

PMID34389797
OpenAlexW3189610418

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.