Evidence map›Paper›PMID 34793551›Full record

ArticlePloS one2021

MicroRNA-5195-3p alleviates high glucose‑induced injury in human ARPE-19 cells by targeting GMFB.

Jingjing Liu, Yongsheng Hou, Lili Lin, Nannan Yu, Yanyan Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Jingjing LiuEye Hospital, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.ORCID 0000-0002-3362-8270
Yongsheng HouEye Hospital, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Lili LinEye Hospital, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Nannan YuEye Hospital, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yanyan ZhangEye Hospital, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperglycemia is generally considered to be an important cause of diabetic retinopathy (DR). The aim of the present study was to investigate the role of miR-5195-3p in high glucose (HG)-induced human retinal pigment epithelial ARPE-19 cell injury. Here, we first found that the expression level of miR-5195-3p was significantly downregulated in HG-stimulated ARPE-19 cells using reverse transcription quantitative PCR. Overexpression of miR-5195-3p attenuated the impaired cell viability, increased apoptosis and pro-inflammatory cytokines secretion in ARPE-19 cells under HG condition using CCK-8 assay, flow cytometry and ELISA assay, respectively. Luciferase reporter assay showed that miR-5195-3p could specifically bind to the 3'UTR of glia maturation factor-β (GMFB). GMFB overexpression reversed, while knockdown enhanced the protective effects of miR-5195-3p overexpression against HG-induced ARPE-19 cell injury. In summary, miR-5195-3p targeting GMFB might be a potential therapeutic target for DR.

Indexed as

3' Untranslated RegionsCell CommunicationCell LineCell SurvivalDiabetic RetinopathyGene ExpressionGene Expression RegulationGlia Maturation FactorGlucoseHumansHyperglycemiaMicroRNAsPhagocytosisRetinal Pigment Epithelium3' Untranslated RegionsGlia Maturation FactorGlucoseMicroRNAsMIRN5195 microRNA, human

Identifiers

PMID34793551
PMCPMC8601420
OpenAlexW3214283993

What OpenQuestion holds

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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.