Evidence map›Paper›PMID 23372846›Full record

ArticlePloS one2013

The miRNA profile of human pancreatic islets and beta-cells and relationship to type 2 diabetes pathogenesis.

Martijn van de Bunt, Kyle J Gaulton, Leopold Parts, Ignasi Moran, Paul R Johnson, Cecilia M Lindgren, Jorge Ferrer, Anna L Gloyn, Mark I McCarthy

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
19.8field-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

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 203 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Article
  19. Article
  20. Long non-coding RNAs: a valuable biomarker for metabolic syndrome.Molecular genetics and genomics : MGG · 2022
    Review

48 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

9 authors at 5 institutions in 3 countries.

Martijn van de BuntOxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, United Kingdom.
Kyle J Gaulton
Leopold Parts
Ignasi Moran
Paul R Johnson
Cecilia M Lindgren
Jorge Ferrer
Anna L Gloyn
Mark I McCarthy
Centre for Human Genetics · GBConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESChurchill Hospital · GBUniversity of Oxford · GBWellcome Sanger Institute · GB

Funding

The international 1q type 2 diabetes consortiumR01DK073490 · NIDDK · UNIVERSITY OF OXFORD · PI MCCARTHY, MARK IAN · 2006 to 2010
$5.9M
NIDDK NIH HHS R01 DK073490Wellcome Trust 086596/Z/08/ZWellcome Trust 090532Wellcome Trust 090532/Z/09/ZWellcome Trust 095101Wellcome Trust 095101/2/10/Z
6 · The paper itself

Abstract

Recent advances in the understanding of the genetics of type 2 diabetes (T2D) susceptibility have focused attention on the regulation of transcriptional activity within the pancreatic beta-cell. MicroRNAs (miRNAs) represent an important component of regulatory control, and have proven roles in the development of human disease and control of glucose homeostasis. We set out to establish the miRNA profile of human pancreatic islets and of enriched beta-cell populations, and to explore their potential involvement in T2D susceptibility. We used Illumina small RNA sequencing to profile the miRNA fraction in three preparations each of primary human islets and of enriched beta-cells generated by fluorescence-activated cell sorting. In total, 366 miRNAs were found to be expressed (i.e. >100 cumulative reads) in islets and 346 in beta-cells; of the total of 384 unique miRNAs, 328 were shared. A comparison of the islet-cell miRNA profile with those of 15 other human tissues identified 40 miRNAs predominantly expressed (i.e. >50% of all reads seen across the tissues) in islets. Several highly-expressed islet miRNAs, such as miR-375, have established roles in the regulation of islet function, but others (e.g. miR-27b-3p, miR-192-5p) have not previously been described in the context of islet biology. As a first step towards exploring the role of islet-expressed miRNAs and their predicted mRNA targets in T2D pathogenesis, we looked at published T2D association signals across these sites. We found evidence that predicted mRNA targets of islet-expressed miRNAs were globally enriched for signals of T2D association (p-values <0.01, q-values <0.1). At six loci with genome-wide evidence for T2D association (AP3S2, KCNK16, NOTCH2, SCL30A8, VPS26A, and WFS1) predicted mRNA target sites for islet-expressed miRNAs overlapped potentially causal variants. In conclusion, we have described the miRNA profile of human islets and beta-cells and provide evidence linking islet miRNAs to T2D pathogenesis.

Indexed as

Gene Expression ProfilingCluster AnalysisDiabetes Mellitus, Type 2Gene Expression RegulationGenetic Predisposition to DiseaseHumansInsulin-Secreting CellsIslets of LangerhansMicroRNAsOrgan SpecificityMicroRNAs

Identifiers

PMID23372846
PMCPMC3555946
OpenAlexW2084825118

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.