Evidence map›Paper›PMID 28377873›Full record

ArticleMolecular metabolism2017

Molecular phenotyping of multiple mouse strains under metabolic challenge uncovers a role for

Céline Cruciani-Guglielmacci, Lara Bellini, Jessica Denom, Masaya Oshima, Neïké Fernandez, Priscilla Normandie-Levi, Xavier P Berney, Nadim Kassis, Claude Rouch, Julien Dairou and 21 more

Open 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. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.9field-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.

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

34 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. The role of fatty acid metabolism on B cells and B cell-related autoimmune diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Review
  3. A Sex-Specific Minimal CpG-Based Model for Biological Aging UsingInternational journal of molecular sciences · 2025
    Article
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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

31 authors at 9 institutions in 5 countries.

Céline Cruciani-GuglielmacciUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Lara BelliniUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Jessica DenomUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Masaya OshimaINSERM U1016, Université Paris-Descartes, Institut Cochin, Paris, France.
Neïké FernandezUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Priscilla Normandie-LeviUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Xavier P BerneyCentre for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.
Nadim KassisUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Claude RouchUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Julien DairouUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France.
Tracy GormanDiscovery Sciences, Innovative Medicines & Early Development Biotech Unit, AstraZeneca, Cambridge Science Park, Milton Road, Cambridge CB4 0WG, UK.
David M SmithDiscovery Sciences, Innovative Medicines & Early Development Biotech Unit, AstraZeneca, Cambridge Science Park, Milton Road, Cambridge CB4 0WG, UK.
Anna MarleyDiscovery Sciences, Innovative Medicines & Early Development Biotech Unit, AstraZeneca, Cambridge Science Park, Milton Road, Cambridge CB4 0WG, UK.
Robin LiechtiVital-IT Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Dmitry KuznetsovVital-IT Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Leonore WiggerVital-IT Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Frédéric BurdetVital-IT Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Anne-Laure LefèvreRecherche de Découverte, PIT Métabolisme, IdRS, 11 rue des Moulineaux, 92150 Suresnes, France.
Isabelle WehrleRecherche de Découverte, PIT Métabolisme, IdRS, 11 rue des Moulineaux, 92150 Suresnes, France.
Ingo UphuesBoehringer Ingelheim Pharma GmbH & Co, KG 88400 Biberach, Germany.
Tobias HildebrandtBoehringer Ingelheim Pharma GmbH & Co, KG 88400 Biberach, Germany.
Werner RustBoehringer Ingelheim Pharma GmbH & Co, KG 88400 Biberach, Germany.
Catherine BernardRecherche de Découverte, PIT Métabolisme, IdRS, 11 rue des Moulineaux, 92150 Suresnes, France.
Alain KtorzaRecherche de Découverte, PIT Métabolisme, IdRS, 11 rue des Moulineaux, 92150 Suresnes, France.
Guy A RutterSection of Cell Biology and Functional Genomics, Department of Medicine, Imperial College London, London W120NN, UK.
Raphael ScharfmannINSERM U1016, Université Paris-Descartes, Institut Cochin, Paris, France.
Ioannis XenariosVital-IT Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Hervé Le StunffUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France; I2BC - UMR 9198 Université Paris Sud, Gif sur Yvette, France.
Bernard ThorensCentre for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.
Christophe MagnanUnité de Biologie Fonctionnelle et Adaptative, Sorbonne Paris Cité, CNRS UMR 8251, Université Paris Diderot, Paris, France. Electronic address: christophe.magnan@univ-paris-diderot.fr.
Mark IbbersonVital-IT Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. Electronic address: mark.ibberson@sib.swiss.
Centre National de la Recherche Scientifique · FRSIB Swiss Institute of Bioinformatics · CHServier (France) · FRAstraZeneca (United Kingdom) · GBBoehringer Ingelheim (Germany) · DEInserm · FRImperial College London · GBUniversité Paris-Sud · FRUniversity of Lausanne · CH

Funding

Biotechnology and Biological Sciences Research Council BB/J015873/1Medical Research Council MR/J0003042/1Medical Research Council MR/K001981/1Wellcome TrustWellcome Trust WT098424AIA
6 · The paper itself

Abstract

objectiveIn type 2 diabetes (T2D), pancreatic β cells become progressively dysfunctional, leading to a decline in insulin secretion over time. In this study, we aimed to identify key genes involved in pancreatic beta cell dysfunction by analyzing multiple mouse strains in parallel under metabolic stress.

methodsMale mice from six commonly used non-diabetic mouse strains were fed a high fat or regular chow diet for three months. Pancreatic islets were extracted and phenotypic measurements were recorded at 2 days, 10 days, 30 days, and 90 days to assess diabetes progression. RNA-Seq was performed on islet tissue at each time-point and integrated with the phenotypic data in a network-based analysis.

resultsA module of co-expressed genes was selected for further investigation as it showed the strongest correlation to insulin secretion and oral glucose tolerance phenotypes. One of the predicted network hub genes was

conclusionOur results suggest a role for

Indexed as

AcetyltransferasesAnimalsCell LineDiabetes Mellitus, Type 2Fatty Acid ElongasesGene Regulatory NetworksGlucoseHumansInsulinInsulin-Secreting CellsInsulin SecretionMaleMiceMice, Inbred BALB CMice, Inbred C57BLPhenotypeAcetyltransferasesELOVL2 protein, humanELOVL2 protein, mouseFatty Acid ElongasesGlucoseInsulinBeta cell dysfunctionDiabetesMetabolic stressMolecular phenotypingNetwork analysisPancreas

Identifiers

PMID28377873
PMCPMC5369210
OpenAlexW2580270810

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.