Evidence map›Paper›PMID 18655850›Full record

ReviewBiochimica et biophysica acta2008

Role of microRNAs in diabetes.

Xiaoqing Tang, Guiliang Tang, Sabire Ozcan

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

94 citing papers in PubMed, 1 synthesis or guideline pooled it, 180 citations in OpenAlex.

  1. Pooled it
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  10. Therapeutic potential ofFrontiers in nutrition · 2025
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34 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.

Xiaoqing TangDepartment of Molecular and Cellular Biochemistry, University of Kentucky, College of Medicine, 741 South Limestone, Lexington, KY 40536, USA. xiaoqing.tang@uky.edu
Guiliang Tang
Sabire Ozcan
University of Kentucky · US

Funding

UNDERSTANDING THE MOLECULAR BASIS OF EPIGENETIC TRANSCRIPTIONAL SILENCINGP20RR020171 · NCRR · UNIVERSITY OF KENTUCKY · PI VANDER KOOI, CRAIG · 2004 to 2011
$16.5M
Histone Acetylation and Insulin Gene ExpressionR01DK067581 · NIDDK · UNIVERSITY OF KENTUCKY · PI OZCAN, SABIRE · 2005 to 2010
$1.5M
Role of microRNAs in insulin production and secretion in pancreatic beta-cellsK01DK078648 · NIDDK · UNIVERSITY OF KENTUCKY · PI TANG, XIAOQING · 2007 to 2009
$306k
Rhabdovirus phosphoproteins: RNA silencing and complex formationR03AI068934 · NIAID · UNIVERSITY OF KENTUCKY · PI GOODIN, MICHAEL M · 2007 to 2008
$135k
NCRR NIH HHS P20 RR020171NCRR NIH HHS P20 RR20171NIAID NIH HHS 5 R03 AI 068934NIAID NIH HHS R03 AI068934NIDDK NIH HHS K01 DK078648NIDDK NIH HHS R01 DK067581NIDDK NIH HHS R01DK067581
6 · The paper itself

Abstract

Diabetes is one of the most common chronic diseases in the world. Multiple and complex factors including various genetic and physiological changes can lead to type 1 and type 2 diabetes. However, the major mechanisms underlying the pathogenesis of diabetes remain obscure. With the recent discovery of microRNAs (miRNAs), these small ribonucleotides have been implicated as new players in the pathogenesis of diabetes and diabetes-associated complications. MiRNAs have been shown to regulate insulin production, insulin secretion, and insulin action. This review summarizes the recent progress in the cutting-edge research of miRNAs involved in diabetes and diabetes related complications.

Indexed as

AnimalsDiabetes ComplicationsDiabetes MellitusHumansInsulinInsulin-Secreting CellsInsulin SecretionMicroRNAsInsulinMicroRNAs

Identifiers

PMID18655850
PMCPMC2643014
OpenAlexW2090070787

What OpenQuestion holds

Textmetadata
LicenceTDM
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.