Evidence map›Paper›PMID 28580277›Full record

ArticleMolecular metabolism2017

Expression and functional assessment of candidate type 2 diabetes susceptibility genes identify four new genes contributing to human insulin secretion.

Fatou K Ndiaye, Ana Ortalli, Mickaël Canouil, Marlène Huyvaert, Clara Salazar-Cardozo, Cécile Lecoeur, Marie Verbanck, Valérie Pawlowski, Raphaël Boutry, Emmanuelle Durand and 12 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05166447 (Twenty-year Follow-up of the Inter99 Cohort), which is not on this map. Cited by 51 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT05166447 enrolling by invitationnot on this mapstarted 2021, after this paper: background citation

Twenty-year Follow-up of the Inter99 Cohort

TypeobservationalSponsorBispebjerg HospitalRan2021 to 2028Enrolled4,000ConditionsCoronary Heart Disease, Acute Myocardial Infarction, Cardiovascular Diseases, Type 2 Diabetes
3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 3 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  17. Analysis of D-amino acids secreted from murine islets of Langerhans using Marfey's reagent and reversed phase LC-MS/MS.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2023
    Article
  18. Article
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  20. Monogenic diabetes.Nature reviews. Disease primers · 2023
    Review
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

22 authors at 4 institutions in 3 countries.

Fatou K NdiayeCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Ana OrtalliCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Mickaël CanouilCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Marlène HuyvaertCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Clara Salazar-CardozoCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Cécile LecoeurCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Marie VerbanckCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Valérie PawlowskiCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Raphaël BoutryCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Emmanuelle DurandCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Iandry RabeariveloCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Olivier SandCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Lorella MarselliDepartment of Clinical and Experimental Medicine, Islet Cell Laboratory, University of Pisa, 56100 Pisa, Italy.
Julie Kerr-ConteInserm U1190, EGID, CHU Lille, University of Lille, 59000 Lille, France.
Vikash ChandraInserm U1016, Institut Cochin, Faculté de Médecine, Paris Descartes University, Sorbonne Paris Cité, 75014 Paris, France.
Raphaël ScharfmannInserm U1016, Institut Cochin, Faculté de Médecine, Paris Descartes University, Sorbonne Paris Cité, 75014 Paris, France.
Odile Poulain-GodefroyCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Piero MarchettiDepartment of Clinical and Experimental Medicine, Islet Cell Laboratory, University of Pisa, 56100 Pisa, Italy.
François PattouInserm U1190, EGID, CHU Lille, University of Lille, 59000 Lille, France.
Amar AbderrahmaniCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Philippe FroguelCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Amélie BonnefondCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000 Lille, France.
Centre National de la Recherche Scientifique · FRDélégation Paris 5 · FRInserm · FRUniversity of Pisa · IT

Funding

European Research Council 294785
6 · The paper itself

Abstract

objectivesGenome-wide association studies (GWAS) have identified >100 loci independently contributing to type 2 diabetes (T2D) risk. However, translational implications for precision medicine and for the development of novel treatments have been disappointing, due to poor knowledge of how these loci impact T2D pathophysiology. Here, we aimed to measure the expression of genes located nearby T2D associated signals and to assess their effect on insulin secretion from pancreatic beta cells.

methodsThe expression of 104 candidate T2D susceptibility genes was measured in a human multi-tissue panel, through PCR-free expression assay. The effects of the knockdown of beta-cell enriched genes were next investigated on insulin secretion from the human EndoC-βH1 beta-cell line. Finally, we performed RNA-sequencing (RNA-seq) so as to assess the pathways affected by the knockdown of the new genes impacting insulin secretion from EndoC-βH1, and we analyzed the expression of the new genes in mouse models with altered pancreatic beta-cell function.

resultsWe found that the candidate T2D susceptibility genes' expression is significantly enriched in pancreatic beta cells obtained by laser capture microdissection or sorted by flow cytometry and in EndoC-βH1 cells, but not in insulin sensitive tissues. Furthermore, the knockdown of seven T2D-susceptibility genes (

conclusionsThis study showed the ability of post-GWAS functional studies to identify new genes and pathways involved in human pancreatic beta-cell function and in T2D pathophysiology.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsCell Cycle ProteinsCell LineDiabetes Mellitus, Type 2DNA-Binding ProteinsFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseHumansInsulinInsulin-Secreting CellsMiceMice, Inbred C57BLMice, ObeseRacemases and EpimerasesAdaptor Proteins, Signal TransducingCell Cycle ProteinsDNA-Binding ProteinsInsulinPRC1 protein, humanRacemases and EpimerasesSerine RacemaseTranscription FactorsZFAND3 protein, humanZFAND6 protein, humanEndoC-βH1Expression analysisGenome-wide association studyInsulin secretionRNAi screeningType 2 diabetes

Identifiers

PMID28580277
PMCPMC5444093
OpenAlexW2604554238

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Registered trials

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.