Evidence map›Paper›PMID 23223022›Full record

ArticleDiabetes2013

MicroRNA-7 regulates the mTOR pathway and proliferation in adult pancreatic β-cells.

You Wang, Jiangying Liu, Chengyang Liu, Ali Naji, Doris A Stoffers

Open access · hybridAbstract read
In one paragraph

Article in Diabetes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
16.7field-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

107 citing papers in PubMed, 1 synthesis or guideline pooled it, 193 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Review
  6. Review
  7. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
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  12. Article
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  17. Article
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

You WangDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jiangying Liu
Chengyang Liu
Ali Naji
Doris A Stoffers
University of Pennsylvania · US

Funding

ZINC FINGER PROTEINS IN EARLY KIDNEY DEVELOPMENTP01DK049210 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BIRNBAUM, MORRIS J · 1995 to 2016
$26.9M
NIDDK NIH HHS P01 DK049210NIDDK NIH HHS P01DK-49210
6 · The paper itself

Abstract

Elucidating the mechanism underlying the poor proliferative capacity of adult pancreatic β-cells is critical to regenerative therapeutic approaches for diabetes. Here, we show that the microRNA (miR)-7/7ab family member miR-7a is enriched in mouse adult pancreatic islets compared with miR-7b. Remarkably, miR-7a targets five components of the mTOR signaling pathway. Further, inhibition of miR-7a activates mTOR signaling and promotes adult β-cell replication in mouse primary islets, which can be reversed by the treatment with a well-known mTOR inhibitor, rapamycin. These data suggest that miR-7 acts as a brake on adult β-cell proliferation. Most importantly, this miR-7-mTOR proliferation axis is conserved in primary human β-cells, implicating miR-7 as a therapeutic target for diabetes.

Indexed as

Cell ProliferationSignal TransductionAdolescentAdultAnimalsCells, CulturedDiabetes MellitusFemaleHumansHypoglycemic AgentsInsulin-Secreting CellsMaleMiceMice, Inbred C57BLMicroRNAsMiddle AgedHypoglycemic AgentsMicroRNAsMIRN7-1 microRNA, humanMIRN7 microRNA, mouseMTOR protein, humanmTOR protein, mouseTOR Serine-Threonine Kinases

Identifiers

PMID23223022
PMCPMC3581216
OpenAlexW2170854705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.