Evidence map›Paper›PMID 37609444›Full record

ArticlePeerJ2023

Transcription factor EB (TFEB) improves ventricular remodeling after myocardial infarction by inhibiting Wnt/

Cong Liu, Dawang Zhou, Qiang Zhang, Hongyan Wei, Yuanzheng Lu, Bo Li, Haohong Zhan, Jingge Cheng, Chuyue Wang, Yilin Yang and 3 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

  1. [Integrating Bioinformatics and Machine Learning Algorithms to Screen Inflammatory Biomarkers for Atrial Fibrillation and Experimental Validation].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. MCardiovascular diagnosis and therapy · 2024
    Article
  7. 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

13 authors at 3 institutions in 1 country.

Cong Liu *Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Dawang Zhou *Department of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Qiang ZhangDepartment of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Hongyan WeiDepartment of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuanzheng LuDepartment of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Bo LiDepartment of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Haohong ZhanDepartment of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jingge ChengDepartment of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Chuyue WangDepartment of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yilin YangDepartment of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Shuhao LiDepartment of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chunlin HuDepartment of Emergency Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoxing LiaoDepartment of Emergency Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Sun Yat-sen University · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adverse left ventricular remodeling after myocardial infarction (MI) compromises cardiac function and increases heart failure risk. Until now, comprehension of the role transcription factor EB (TFEB) plays after MI is limited. Objectives: The purpose of this study was to describe the effects of TFEB on fibroblasts differentiation and extracellular matrix expression after MI. Methods: AAV9 (adeno-associated virus) mediated up- and down-regulated TFEB expressions were generated in C57BL/6 mice two weeks before the MI modeling. Echocardiography, Masson, Sirius red staining immunofluorescence, and wheat germ agglutinin staining were performed at 3 days, and 1, 2, and 4 weeks after MI modeling. Fibroblasts collected from SD neonatal rats were transfected by adenovirus and siRNA, and cell counting kit-8 (CCK8), immunofluorescence, wound healing and Transwell assay were conducted. Myocardial fibrosis-related proteins were identified by Western blot. PNU-74654 (100 ng/mL) was used for 12 hours to inhibit Results: The up-regulation of TFEB resulted in reduced fibroblasts proliferation and its differentiation into myofibroblasts in vitro studies. A significant up-regulation of EF and down-regulation of myocyte area was shown in the AAV9-TFEB group. Meanwhile, decreased protein level of Conclusions: TFEB demonstrated potential in restraining fibrosis after MI by inhibiting the Wnt/

Indexed as

Basic Helix-Loop-Helix Leucine Zipper Transcription FactorsMyocardial InfarctionVentricular RemodelingAnimalsBenzamidesbeta CateninCollagen Type IMiceMice, Inbred C57BLRatsRats, Sprague-DawleyWnt Signaling PathwayBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBenzamidesbeta CateninCollagen Type IPNU-74654Tcfeb protein, mouseTFEB protein, ratMyocardial infarctionTranscription factor EBVentricular remodeling

Identifiers

PMID37609444
PMCPMC10441526
OpenAlexW4385983118

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.