Evidence map›Paper›PMID 38414350›Full record

ArticleActa biochimica et biophysica Sinica2024

miR-29b-1-5p exacerbates myocardial injury induced by sepsis in a mouse model by targeting TERF2.

Yaqing Jiang, Junmei Xu, Hua Zeng, Zhaojing Lin, Qiong Yi, Jiali Guo, Feng Xiao

Open access · diamondAbstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Yaqing JiangDepartment of Anesthesiology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Junmei XuDepartment of Anesthesiology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Hua ZengDepartment of Anesthesiology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Zhaojing LinDepartment of Anesthesiology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Qiong YiDepartment of Intensive Care Unit, the First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410007, China.
Jiali GuoDepartment of Anesthesiology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Feng XiaoDepartment of Anesthesiology, the Second Xiangya Hospital, Central South University, Changsha 410011, China.
Central South University · CNFirst Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial damage is a critical complication and a significant contributor to mortality in sepsis. MicroRNAs (miRNAs) have emerged as key players in sepsis pathogenesis. In this study, we explore the effect and mechanisms of miR-29b-1-5p on sepsis-induced myocardial damage. Sepsis-associated Gene Expression Omnibus datasets (GSE72380 and GSE29914) are examined for differential miRNAs. The mouse sepsis-induced cardiac injury was established by Lipopolysaccharide (LPS) or cecal ligation and puncture (CLP). LPS-treated HL-1 mouse cardiomyocytes simulate myocardial injury

Indexed as

MicroRNAsSepsisAnimalsAntagomirsDown-RegulationLipopolysaccharidesMiceAntagomirsLipopolysaccharidesMicroRNAsapoptosisautophagymiR-29b-1-5pmyocardial injurysepsistelomeric repeat-binding factor 2 (TERF2)

Identifiers

PMID38414350
PMCPMC11090849
OpenAlexW4391609988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.