Evidence map›Paper›PMID 27338626›Full record

ArticleDiabetologia2016

Cell type-specific deletion in mice reveals roles for PAS kinase in insulin and glucagon production.

Francesca Semplici, Angeles Mondragon, Benedict Macintyre, Katja Madeyski-Bengston, Anette Persson-Kry, Sara Barr, Anna Ramne, Anna Marley, James McGinty, Paul French and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  8. The α-cell in diabetes mellitus.Nature reviews. Endocrinology · 2018
    Review
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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

20 authors at 9 institutions in 4 countries.

Francesca SempliciSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK.
Angeles MondragonSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK.
Benedict MacintyreSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK.
Katja Madeyski-BengstonAstraZeneca R&D, DECS, AstraZeneca R&D, Mölndal, Sweden.
Anette Persson-KryAstraZeneca R&D, DECS, AstraZeneca R&D, Mölndal, Sweden.
Sara BarrAstraZeneca R&D, DECS, AstraZeneca R&D, Mölndal, Sweden.
Anna RamneAstraZeneca R&D, DECS, AstraZeneca R&D, Mölndal, Sweden.
Anna MarleyAstraZeneca R&D, Alderley Edge, UK.
James McGintyPhotonics Group, Department of Physics, Imperial College London, London, UK.
Paul FrenchPhotonics Group, Department of Physics, Imperial College London, London, UK.
Helen SoedlingSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK.
Ryohsuke YokosukaSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK.
Julien GaitanUniversité de Bordeaux, Institut de Chimie et Biologie des Membranes et des Nano-objets, CNRS UMR 5248, Pessac, France.
Jochen LangUniversité de Bordeaux, Institut de Chimie et Biologie des Membranes et des Nano-objets, CNRS UMR 5248, Pessac, France.
Stephanie Migrenne-LiParis Diderot University, Unit of Functional and Adaptive Biology (BFA), CNRS UMR 8251, Paris, France.
Erwann PhilippeParis Diderot University, Unit of Functional and Adaptive Biology (BFA), CNRS UMR 8251, Paris, France.
Pedro L HerreraDepartment of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Christophe MagnanParis Diderot University, Unit of Functional and Adaptive Biology (BFA), CNRS UMR 8251, Paris, France.
Gabriela da Silva XavierSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK. g.dasilva-xavier@imperial.ac.uk.
Guy A RutterSection of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, Imperial Centre for Translational and Experimental Medicine, Hammersmith Hospital, du Cane Road, London, W12 0NN, UK. g.rutter@imperial.ac.uk.
Imperial College London · GBAstraZeneca (Sweden) · SEHammersmith Hospital · GBCentre National de la Recherche Scientifique · FRAstraZeneca (United Kingdom) · GBInstitut de Chimie · FRUnit of Functional and Adaptive Biology · FRUniversité de Bordeaux · FRUniversity of Geneva · CH

Funding

Medical Research Council GO401641Medical Research Council MR/J0003042/1Medical Research Council MR/K001981/1Wellcome Trust 081958/Z/07/ZWellcome Trust WT098424AIA
6 · The paper itself

Abstract

aims/hypothesisPer-Arnt-Sim kinase (PASK) is a nutrient-regulated domain-containing protein kinase previously implicated in the control of insulin gene expression and glucagon secretion. Here, we explore the roles of PASK in the control of islet hormone release, by generating mice with selective deletion of the Pask gene in pancreatic beta or alpha cells.

methodsFloxed alleles of Pask were produced by homologous recombination and animals bred with mice bearing beta (Ins1 (Cre); PaskBKO) or alpha (Ppg (Cre) [also known as Gcg]; PaskAKO) cell-selective Cre recombinase alleles. Glucose homeostasis and hormone secretion in vivo and in vitro, gene expression and islet cell mass were measured using standard techniques.

resultsIns1 (Cre)-based recombination led to efficient beta cell-targeted deletion of Pask. Beta cell mass was reduced by 36.5% (p < 0.05) compared with controls in PaskBKO mice, as well as in global Pask-null mice (38%, p < 0.05). PaskBKO mice displayed normal body weight and fasting glycaemia, but slightly impaired glucose tolerance, and beta cell proliferation, after maintenance on a high-fat diet. Whilst glucose tolerance was unaffected in PaskAKO mice, glucose infusion rates were increased, and glucagon secretion tended to be lower, during hypoglycaemic clamps. Although alpha cell mass was increased (21.9%, p < 0.05), glucagon release at low glucose was impaired (p < 0.05) in PaskAKO islets. CONCLUSIONS/

interpretationThe findings demonstrate cell-autonomous roles for PASK in the control of pancreatic endocrine hormone secretion. Differences between the glycaemic phenotype of global vs cell type-specific null mice suggest important roles for tissue interactions in the control of glycaemia by PASK.

Indexed as

AllelesAnimalsDiet, High-FatGlucagon-Secreting CellsGlucoseHomeostasisInsulin-Secreting CellsMaleMiceMice, KnockoutProtein Serine-Threonine KinasesGlucosePAS domain kinasesProtein Serine-Threonine KinasesBasic scienceBeta cell signal transductionIsletsMousePAS kinase

Identifiers

PMID27338626
PMCPMC4969360
OpenAlexW2467840688

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.