Evidence map›Paper›PMID 34753799›Full record

ArticleDiabetes2022

Human Islet MicroRNA-200c Is Elevated in Type 2 Diabetes and Targets the Transcription Factor ETV5 to Reduce Insulin Secretion.

Jones K Ofori, Alexandros Karagiannopoulos, Mototsugu Nagao, Efraim Westholm, Shaima Ramadan, Anna Wendt, Jonathan L S Esguerra, Lena Eliasson

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 35 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

8 authors at 1 institution in 1 country.

Jones K Ofori
Alexandros Karagiannopoulos
Mototsugu Nagao
Efraim Westholm
Shaima Ramadan
Anna Wendt
Jonathan L S Esguerra
Schlumberger (Ireland) · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are part of deregulated insulin secretion in type 2 diabetes (T2D) development. Rodent models have suggested miR-200c to be involved, but the role and potential as therapeutic target of this miRNA in human islets are not clear. Here we report increased expression of miR-200c in islets from T2D as compared with nondiabetic (ND) donors and display results showing reduced glucose-stimulated insulin secretion in EndoC-βH1 cells overexpressing miR-200c. We identify transcription factor ETV5 as the top rank target of miR-200c in human islets using TargetScan in combination with Pearson correlation analysis of miR-200c and mRNA expression data from the same human donors. Among other targets were JAZF1, as earlier shown in miR-200 knockout mice. Accordingly, linear model analysis of ETV5 and JAZF1 gene expression showed reduced expression of both genes in islets from human T2D donors. Western blot analysis confirmed the reduced expression of ETV5 on the protein level in EndoC-βH1 cells overexpressing miR-200c, and luciferase assay validated ETV5 as a direct target of miR-200c. Finally, LNA knockdown of miR-200c increased glucose-stimulated insulin secretion in islets from T2D donors approximately threefold. Our data reveal a vital role of the miR-200c-ETV5 axis in β-cell dysfunction and pathophysiology of T2D.

Indexed as

Diabetes Mellitus, Type 2AnimalsCells, CulturedDNA-Binding ProteinsDown-RegulationGene Expression RegulationGlucoseHumansInsulinInsulin-Secreting CellsInsulin SecretionIslets of LangerhansMiceMicroRNAsTranscription FactorsDNA-Binding ProteinsETV5 protein, humanGlucoseInsulinMicroRNAsMIRN200 microRNA, humanTranscription Factors

Identifiers

PMID34753799
PMCPMC8914283
OpenAlexW3212011400

What OpenQuestion holds

Textmetadata
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.