Evidence map›Paper›PMID 28078386›Full record

ArticleDiabetologia2017

Early differences in islets from prediabetic NOD mice: combined microarray and proteomic analysis.

Inne Crèvecoeur, Valborg Gudmundsdottir, Saurabh Vig, Fernanda Marques Câmara Sodré, Wannes D'Hertog, Ana Carolina Fierro, Leentje Van Lommel, Conny Gysemans, Kathleen Marchal, Etienne Waelkens and 4 more

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Article in Diabetologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  10. CD8Diabetes · 2021
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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

14 authors at 3 institutions in 2 countries.

Inne CrèvecoeurLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium.
Valborg GudmundsdottirDepartment of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
Saurabh VigLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium.
Fernanda Marques Câmara SodréLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium.
Wannes D'HertogLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium.
Ana Carolina FierroDepartment of Information Technology, IMinds, Faculty of Sciences, Ghent University, Ghent, Belgium.
Leentje Van LommelGene Expression Unit, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Conny GysemansLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium.
Kathleen MarchalDepartment of Information Technology, IMinds, Faculty of Sciences, Ghent University, Ghent, Belgium.
Etienne WaelkensSyBioMa, KU Leuven, Leuven, Belgium.
Frans SchuitGene Expression Unit, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Søren BrunakDepartment of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
Lut OverberghLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium. lutgart.overbergh@kuleuven.be.
Chantal MathieuLaboratory for Clinical and Experimental Endocrinology, KU Leuven, Herestraat 49 bus 902, 3000, Leuven, Belgium.
KU Leuven · BEGhent University · BETechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisType 1 diabetes is an endocrine disease where a long preclinical phase, characterised by immune cell infiltration in the islets of Langerhans, precedes elevated blood glucose levels and disease onset. Although several studies have investigated the role of the immune system in this process of insulitis, the importance of the beta cells themselves in the initiation of type 1 diabetes is less well understood. The aim of this study was to investigate intrinsic differences present in the islets from diabetes-prone NOD mice before the onset of insulitis.

methodsThe islet transcriptome and proteome of 2-3-week-old mice was investigated by microarray and 2-dimensional difference gel electrophoresis (2D-DIGE), respectively. Subsequent analyses using sophisticated pathway analysis and ranking of differentially expressed genes and proteins based on their relevance in type 1 diabetes were performed.

resultsIn the preinsulitic period, alterations in general pathways related to metabolism and cell communication were already present. Additionally, our analyses pointed to an important role for post-translational modifications (PTMs), especially citrullination by PAD2 and protein misfolding due to low expression levels of protein disulphide isomerases (PDIA3, 4 and 6), as causative mechanisms that induce beta cell stress and potential auto-antigen generation. CONCLUSIONS/

interpretationWe conclude that the pancreatic islets, irrespective of immune differences, may contribute to the initiation of the autoimmune process. DATA AVAILABILITY: All microarray data are available in the ArrayExpress database ( www.ebi.ac.uk/arrayexpress ) under accession number E-MTAB-5264.

Indexed as

AnimalsHydrolasesIslets of LangerhansMiceMice, Inbred C57BLMice, Inbred NODModels, TheoreticalOligonucleotide Array Sequence AnalysisPrediabetic StateProtein-Arginine DeiminasesProteomicsReverse Transcriptase Polymerase Chain ReactionTwo-Dimensional Difference Gel ElectrophoresisHydrolasesProtein-Arginine Deiminases2D-DIGEBeta cellsIntrinsic differencesMicroarrayNOD micePathway analysisPost-translational modificationsType 1 diabetes

Identifiers

PMID28078386
OpenAlexW2579646343

What OpenQuestion holds

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Registered trials

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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.