Evidence map›Paper›PMID 31227612›Full record

ArticleBioscience reports2019

Long noncoding RNA MALAT1 promotes cardiomyocyte apoptosis after myocardial infarction via targeting miR-144-3p.

Xiaohong Gong, Yun Zhu, Haixia Chang, Yongqin Li, Feng Ma

Abstract read
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Role of N6-methyladenosine Modification in Cardiac Remodeling.Frontiers in cardiovascular medicine · 2022
    Review
  20. Article
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.

Xiaohong GongDepartment of Cardiovascular Medicine, Xi'an Central Hospital, Xi'an City 710003, Shaanxi Province, P.R. China.
Yun ZhuDepartment of ENT, the First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an City 710061, Shaanxi Province, P.R. China yj74853@163.com.ORCID 0000-0002-2535-744X
Haixia ChangDepartment of Cardiovascular Medicine, Xi'an Central Hospital, Xi'an City 710003, Shaanxi Province, P.R. China.
Yongqin LiDepartment of Cardiovascular Medicine, the second Affiliated Hospital of Xi'an Jiao Tong University, Xi'an City 710003, Shaanxi Province, P.R. China.
Feng MaDepartment of Cardiovascular Medicine, Xi'an Central Hospital, Xi'an City 710003, Shaanxi Province, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aims to excavate the role of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in myocardial infarction (MI), especially in an ischemia/reperfusion injury model and the underlying mechanism involving the MALAT1-miR144 axis. Our results demonstrated that the expression of MALAT1 has a higher level, while miR-144 expression significantly reduced in myocardial tissue after MI and also in left anterior descending (LAD)-ligation mice. This result was confirmed

Indexed as

3' Untranslated RegionsAdenocarcinoma of LungAnimalsApoptosisCells, CulturedHumansLung NeoplasmsMiceMicroRNAsMyocardial InfarctionMyocardiumMyocytes, CardiacReperfusion InjuryRNA, Long NoncodingUp-Regulation3' Untranslated RegionsMALAT1 long non-coding RNA, humanMicroRNAsMIRN144 microRNA, humanRNA, Long Noncodingcardiomyocyte apoptosislong non-coding RNA MALAT1miR-144-3pMyocardial infarction

Identifiers

PMID31227612
PMCPMC6680374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.