Evidence map›Paper›PMID 27412250›Full record

ReviewDiabetologia2016

Targeting insulin-producing beta cells for regenerative therapy.

Adriana Migliorini, Sara S Roscioni, Heiko Lickert

Abstract readReview
PubMed Publisher
In one paragraph

Review in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Adriana MiglioriniInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany.
Sara S RoscioniInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany.
Heiko LickertInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany. heiko.lickert@helmholtz-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic beta cells differ in terms of glucose responsiveness, insulin secretion and proliferative capacity; however, the molecular pathways that regulate this cellular heterogeneity are unknown. We have identified the Wnt-planar cell polarity (PCP) effector Flattop (FLTP) as a biomarker that identifies mature beta cells in the islets of Langerhans. Interestingly, three-dimensional architecture and Wnt-PCP ligands are sufficient to trigger mouse and human beta cell maturation. These results highlight the fact that novel biomarkers shed light on the long-standing mystery of beta cell heterogeneity and identify the Wnt-PCP pathway as triggering beta cell maturation. Understanding heterogeneity in the islets of Langerhans might allow targeting of beta cell subpopulations for regenerative therapy and provide building principles for stem cell-derived islets. This review summarises a presentation given at the 'Can we make a better beta cell?' symposium at the 2015 annual meeting of the EASD. It is accompanied by two other reviews on topics from this symposium (by Amin Ardestani and Kathrin Maedler, DOI: 10.1007/s00125-016-3892-9 , and by Harry Heimberg and colleagues, DOI: 10.1007/s00125-016-3879-6 ) and a commentary by the Session Chair, Shanta Persaud (DOI: 10.1007/s00125-016-3870-2 ).

Indexed as

AnimalsCell- and Tissue-Based TherapyCell DifferentiationHumansInsulin-Secreting CellsIslets of LangerhansMiceMicrotubule-Associated ProteinsWnt Signaling PathwayMicrotubule-Associated ProteinsBeta cell heterogeneityCell-replacement therapyDedifferentiationIslet architectureMaturationPlasticityRegenerative therapyWnt signalling

Identifiers

What OpenQuestion holds

Textmetadata
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.