Evidence map›Paper›PMID 35046680›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

RNF6 Targeted by miR-26a-5p Protects Pancreatic β-Cell Function Against Type 2 Diabetes.

Fan Yang, Shengxun Zhao, Xuyan Zhang, Sheng Ding, Yancheng Xu

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Fan Yang *Department of Endocrinology, Wuhan University Zhongnan Hospital, Wuhan, 430000, Hubei, People's Republic of China.
Shengxun Zhao *Department of Geriatrics, The First Hospital of Wuhan, Wuhan, 430000, Hubei, People's Republic of China.
Xuyan ZhangDepartment of Endocrinology, The Central Hospital of Wuhan, Wuhan, 430014, Hubei, People's Republic of China.
Sheng DingDepartment of Endocrinology, The Central Hospital of Wuhan, Wuhan, 430014, Hubei, People's Republic of China.
Yancheng XuDepartment of Endocrinology, Wuhan University Zhongnan Hospital, Wuhan, 430000, Hubei, People's Republic of China.
Central Hospital of Wuhan · CNZhongnan Hospital of Wuhan University · CNThe First People's Hospital of Jiangxia District · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D) is characterized by progressive β-cell dysfunction. Regulatory microRNAs (miRNAs) may be associated with this.

methodsSerum miR-26a-5p and RNF6 levels were detected in T2D patients and healthy volunteers via qRT-PCR. Subsequently, the role of specific dysregulated miR-26a-5p or RNF6 in regulating insulin content, cell proliferation, and apoptosis was studied in INS-1 cells. The targeting correlation between miR-26a-5p and RNF6 was detected using a luciferase assay.

resultsRNF6 expression was significantly decreased in T2D individuals and INS-1 cells treated with high glucose, while miR-26a-5p expression was increased. In INS-1 cells, RNF6 overexpression or miR-26a-5p downregulation significantly increased insulin content and secretion, induced proliferation, and inhibited apoptosis. RNF6 has been identified as an miR-26a-5p target, which negatively regulates RNF6 to worsen INS-1 cell function.

conclusionRNF6 promoted insulin secretion and induced cell proliferation in INS-1 cells. This may be related to miR-26a-5p targeting and negatively regulating T2D pathogenesis.

Indexed as

INS-1miR-26a-5ppancreaticRNF6type 2 diabetesβ-cell

Identifiers

PMID35046680
PMCPMC8761081
OpenAlexW4206091768

What OpenQuestion holds

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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.