Evidence map›Paper›PMID 27763497›Full record

ReviewInternational journal of molecular sciences2016

Regulatory Roles of MicroRNAs in Diabetes.

Juan Feng, Wanli Xing, Lan Xie

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 148 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Juan FengMedical Systems Biology Research Center, School of Medicine, Tsinghua University, Beijing 100084, China. fengjuansdu@126.com.
Wanli XingMedical Systems Biology Research Center, School of Medicine, Tsinghua University, Beijing 100084, China. wlxing@tsinghua.edu.cn.
Lan XieMedical Systems Biology Research Center, School of Medicine, Tsinghua University, Beijing 100084, China. xielan@tsinghua.edu.cn.
Tsinghua University · CN

Funding

Impact of Prenatal Alcohol Exposure on Receptor Targeting and FunctioningR03AA020101 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CALDWELL, KEVIN K. · 2010 to 2011
$148k
NIAAA NIH HHS R03 AA020101
6 · The paper itself

Abstract

MicroRNAs (miRNAs), a class of endogenous small noncoding RNAs in eukaryotes, have been recognized as significant regulators of gene expression through post-transcriptional mechanisms. To date, >2000 miRNAs have been identified in the human genome, and they orchestrate a variety of biological and pathological processes. Disruption of miRNA levels correlates with many diseases, including diabetes mellitus, a complex multifactorial metabolic disorder affecting >400 million people worldwide. miRNAs are involved in the pathogenesis of diabetes mellitus by affecting pancreatic β-cell functions, insulin resistance, or both. In this review, we summarize the investigations of the regulatory roles of important miRNAs in diabetes, as well as the potential of circulating miRNAs as diagnostic markers for diabetes mellitus.

Indexed as

AnimalsAntigens, CDDiabetes MellitusGlucose Transporter Type 4HumansInsulin Receptor Substrate ProteinsInsulin ResistanceInsulin-Secreting CellsMiceMicroRNAsPhosphatidylinositol 3-KinasesReceptor, InsulinAntigens, CDGlucose Transporter Type 4INSR protein, humanInsulin Receptor Substrate ProteinsIRS1 protein, humanIRS2 protein, humanMicroRNAsPhosphatidylinositol 3-KinasesReceptor, InsulinSLC2A4 protein, humancirculating miRNAsdiabetesinsulin resistancemiRNAsβ-cell function

Identifiers

PMID27763497
PMCPMC5085760
OpenAlexW2532439566

What OpenQuestion holds

Textmetadata
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.