Evidence map›Paper›PMID 32130618›Full record

ArticleMolecular biology reports2020

LncRNA MIAT/miR-133a-3p axis regulates atrial fibrillation and atrial fibrillation-induced myocardial fibrosis.

Lixia Yao, Bolun Zhou, Ling You, Haijuan Hu, Ruiqin Xie

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.6field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Long Non-coding RNA Based Therapy for Cardiovascular Disease.Journal of cardiovascular translational research · 2025
    Review
  5. Gene Therapies in Atrial Fibrillation.Journal of cardiovascular translational research · 2025
    Review
  6. Review
  7. Journal of thoracic disease · 2025
    Article
  8. International journal of molecular sciences · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Role of LncRNA MIAT in Diabetic Complications.Current medicinal chemistry · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Overview of Cardiac Arrhythmias and Treatment Strategies.Pharmaceuticals (Basel, Switzerland) · 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

5 authors at 3 institutions in 1 country.

Lixia YaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050000, Hebei, People's Republic of China.
Bolun ZhouXiangya School of Medicine, Central South University, Changsha, 410013, Hunan, People's Republic of China.
Ling YouDepartment of Cardiology, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050000, Hebei, People's Republic of China.
Haijuan HuDepartment of Cardiology, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050000, Hebei, People's Republic of China.
Ruiqin XieDepartment of Cardiology, The Second Hospital of Hebei Medical University, 215 West Heping Road, Shijiazhuang, 050000, Hebei, People's Republic of China. xie_ruiqin@126.com.
Hebei Medical University · CNCentral South University · CNSecond Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is a commonly encountered heart arrhythmia and a risk factor for cardiovascular system. The purpose of the present study was to explore the role of long non-coding RNA myocardial infarction-associated transcript (MIAT) in AF and AF-induced myocardial fibrosis and the possible mechanisms involved in this process. We successfully induced an AF rat model. Expression of MIAT presented a dramatic increase, while microRNA (miR)-133a-3p presented a dramatic decrease in atrium tissues of rats with AF induction. In addition, we also found that MIAT was highly expressed and miR-133a-3p was significantly reduced in peripheral blood leukocyte of AF patients. For biological function exploration of MIAT/miR-133a-3p axis, MIAT was knocked down using small hairpin RNA (shRNA) lentivirus injection and the rescue experiments were performed simultaneously by inhibiting miR-133a-3p using anti-miR-133a-3p lentivirus injection in rats with AF. MIAT downregulation significantly alleviated AF, increased atrial effective refractory period (AERP), and reduced the duration of AF as well as cardiomyocytes apoptosis. Whereas these effects of MIAT downregulation on AF were reversed by anti-miR-133a-3p administration. Luciferase reporter revealed that miR-133a-3p was directly regulated by MIAT. Moreover, MIAT knockdown effectively reduced AF-induced atrial fibrosis by detecting reduced collagen in the right atria and inhibited expression of fibrosis-related gene expression of collagen I, collagen III, connective tissue growth factor (CTGF) and transforming growth factor-β1 (TGF-β1) in rats with AF, these findings were in contrast with the findings for rats with inhibition of miR-133a-3p. In conclusion, our study demonstrated the role of MIAT downregulation in alleviating AF and AF-induced myocardial fibrosis, and the functional regulatory pathway of MIAT targeting miR-133a-3p.

Indexed as

AnimalsApoptosisAtrial FibrillationCardiomyopathiesChinaEndomyocardial FibrosisFemaleFibrosisHumansMaleMicroRNAsMyocardial InfarctionMyocardiumRatsRats, Sprague-DawleyRNA, Long NoncodingMiat long non-coding RNAMicroRNAsMIRN133 microRNA, ratRNA, Long NoncodingAtrial fibrillationMicroRNA-133a-3pMyocardial fibrosisMyocardial infarction-associated transcriptRat

Identifiers

PMID32130618
OpenAlexW3010056033

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.