Evidence map›Paper›PMID 34790726›Full record

ArticleAnnals of translational medicine2021

MiR-34a promotes fibrosis of hepatic stellate cells via the TGF-β pathway.

Jie Zhang, Haixia Wang, Linlin Yao, Peng Zhao, Xiaoyan Wu

Abstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Review
  2. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
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  6. Review
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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.

Jie ZhangDepartment of Nutrition, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Haixia WangHealthcare Department, The Third Hospital of Jinan, Jinan, China.
Linlin YaoDepartment of Cardiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Peng Zhao *Department of Cardiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xiaoyan Wu *Department of Cardiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have confirmed that MicroRNA (miRNA) is a key regulator exhibiting different effects in human liver fibrosis. However, the function of miR-34a in liver fibrosis has not been reported. Hence, this study aimed to investigate the regulatory mechanism of miR-34a in liver fibrosis.

methodsThe expression of miR-34a was measured in fibrosis tissues via the quantitative real-time PCR (qRT-PCR) assay. Subsequently, 30 male C57BL/6J mice were divided into control and treatment groups and used to establish animal models of liver fibrosis to explore the expression level of miR-34a. Moreover, Cell Counting Kit 8 (CCK-8) and transwell assays were preformed to identify the regulatory mechanism of miR-34a in cells. The effect of miR-34a on the activity of transforming growth factor-β (TGF-β) pathway was observed by western blot.

resultsUp-regulation of miR-34a was detected in fibrosis cells. Moreover, the cellular phenotype was suppressed by miR-34a down-regulation in a primary culture of hepatic stellate cells (HSCs). Besides, it was found that increased miR-34a could significantly promote the invasion and migration of HSCs. Moreover, miR-34a activates HSCs through transforming TGF-β, α-smooth muscle actin (α-SMA), and Monocyte chemoattractant protein-1 (MCP-1), which further affects liver fibrosis.

conclusionsMiR-34a promotes the fibrosis of HSCs as well as cell proliferation, migration, and invasion.

Indexed as

Bificohepatic stellate cells (HSCs)liver fibrosisMiR-34atransforming growth factor-β (TGF-β)

Identifiers

PMID34790726
PMCPMC8576652

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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.