Evidence map›Paper›PMID 41360887›Full record

ArticleScientific reports2025

Gastrectomy promoted diabetes remission involves the molecular clock and epigenetic mechanisms in a rat model of lean type 2 diabetes.

Aurélie Le Lay, François Brial, Claude Rouch, Xiaojian Shao, Mathieu Bourgey, Kazuhiro Sonomura, Huiting Ou, Sara Ghezzal, Mylène Vincent, Marylène Rugard and 8 more

Abstract read
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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Aurélie Le Lay *Functional and Adaptive Biology Unit, CNRS UMR 8251, University Paris Cité, 4 Rue Marie Andrée Lagroua Weill-Halle, 75013, Paris, France.
François Brial *INSERM U1132 Biologie de L'os Et du Cartilage (BIOSCAR), University Paris Cité, 75010, Paris, France.
Claude RouchFunctional and Adaptive Biology Unit, CNRS UMR 8251, University Paris Cité, 4 Rue Marie Andrée Lagroua Weill-Halle, 75013, Paris, France.
Xiaojian ShaoVictor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
Mathieu BourgeyVictor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
Kazuhiro SonomuraLife Science Research Center, Technology Research Laboratory, Shimadzu Corporation, Kyoto, 604-8511, Japan.
Huiting OuCenter for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Sara GhezzalFunctional and Adaptive Biology Unit, CNRS UMR 8251, University Paris Cité, 4 Rue Marie Andrée Lagroua Weill-Halle, 75013, Paris, France.
Mylène VincentFunctional and Adaptive Biology Unit, CNRS UMR 8251, University Paris Cité, 4 Rue Marie Andrée Lagroua Weill-Halle, 75013, Paris, France.
Marylène RugardUniversity Paris Cité, INSERM UMR 1124, 45 Rue Des Saint-Pères, 75006, Paris, France.
Karine AudouzeUniversity Paris Cité, INSERM UMR 1124, 45 Rue Des Saint-Pères, 75006, Paris, France.
Jiannis RagoussisVictor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
Fumihiko MatsudaCenter for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Guillaume BourqueVictor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
Elin GrundbergVictor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
Mark LathropVictor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
Christophe MagnanFunctional and Adaptive Biology Unit, CNRS UMR 8251, University Paris Cité, 4 Rue Marie Andrée Lagroua Weill-Halle, 75013, Paris, France.
Dominique GauguierFunctional and Adaptive Biology Unit, CNRS UMR 8251, University Paris Cité, 4 Rue Marie Andrée Lagroua Weill-Halle, 75013, Paris, France. dominique.gauguier@inserm.fr.

Funding

Agence Nationale de la Recherche EpiTriO, ANR-15-EPIG-0002-05Institut National de la Santé et de la Recherche Médicale DIABETOMARKERS
6 · The paper itself

Abstract

Bariatric surgery results in type 2 diabetes (T2D) improvement. To identify mechanisms associated with gastrectomy-promoted T2D remission in lean individuals, we performed pathophysiological, behavioural and molecular (liver transcriptome, metabolome and lipidome) investigations in the Goto-Kakizaki (GK) model of spontaneously-occurring non-obese T2D following vertical sleeve gastrectomy (VSG) or sham operation. VSG resulted in sustained reduction in hyperglycemia and changes in nycthemeral feeding patterns and activity. Liver transcriptome and lipidome profiling pointed to changes in the expression of genes involved in inflammation, PPAR signalling and fatty acid metabolism, and in the regulation of phosphatidylcholine and lysophosphatidylethanolamine classes. Deeper analysis revealed altered expression of genes involved in histone methylation and co-ordinately differential transcription of key regulators of the molecular clock (Clock, Arntl/Bmal1, Per1, Per2, Per3). In addition to previously reported changes in bile acid metabolism and gut microbiome in this model of VSG, our findings underline the multiple biological mechanisms associated with diabetes remission following VSG and suggest a contribution of chronobiology and epigenetic processes in the long-term therapeutic consequences of VSG in the context of polygenic non-obese T2D.

Indexed as

Diabetes Mellitus, Type 2Epigenesis, GeneticGastrectomyAnimalsDisease Models, AnimalLiverMaleRatsTranscriptomeBariatric surgeryCircadian clockEpigenomeGoto-Kakizaki ratLipidomeMetabolomeTranscriptome

Identifiers

PMID41360887
PMCPMC12764555

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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.