Evidence map›Paper›PMID 40812310›Full record

ArticleCell metabolism2025

Glucose-dependent insulinotropic polypeptide receptor signaling in oligodendrocytes increases the weight-loss action of GLP-1R agonism.

Robert Hansford, Sophie Buller, Anthony H Tsang, Simon Benoit, Anna G Roberts, Emmy Erskine, Thomas Brown, Valentina Pirro, Frank Reimann, Norio Harada and 7 more

Abstract read
In one paragraph

Article in Cell metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. The evolving landscape of obesity pharmacotherapy.Nature reviews. Drug discovery · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. The role of GIPR in food intake control.Frontiers in endocrinology · 2025
    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

17 authors.

Robert HansfordWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Sophie BullerWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Anthony H TsangWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Simon BenoitWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Anna G RobertsDepartment of Neuroscience, Physiology, and Pharmacology, University College London, London, UK.
Emmy ErskineWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Thomas BrownWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Valentina PirroDiabetes, Obesity and Complications, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Frank ReimannWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK.
Norio HaradaDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University, Kyoto, Japan.
Nobuya InagakiDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University, Kyoto, Japan.
Ricardo J SammsDiabetes, Obesity and Complications, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Johannes BroichhagenLeibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), 13125 Berlin, Germany.
David J HodsonOxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), NIHR Oxford Biomedical Research Centre, Churchill Hospital, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Alice AdriaenssensDepartment of Neuroscience, Physiology, and Pharmacology, University College London, London, UK.
Soyoung ParkDiabetes, Obesity and Complications, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Clemence BlouetWellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB20QQ, UK. Electronic address: csb69@medschl.cam.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The next generation of obesity medicines harness the activity of the glucose-dependent insulinotropic polypeptide and glucagon-like peptide 1 receptors (GIPR and GLP-1R), but their mechanism of action remains unclear. Here, we report that the GIPR is enriched in oligodendrocytes and GIPR signaling bidirectionally regulates oligodendrogenesis. In mice with adult-onset deletion of GIPR in oligodendrocytes, GIPR agonism fails to enhance the weight-loss effects of GLP-1R agonism. Mechanistically, GIPR agonism increases brain access of GLP-1R agonists, and GIPR signaling in oligodendrocytes is required for this effect. In addition, we show that vasopressin neurons of the paraventricular hypothalamus are necessary for the weight-loss response to GLP-1R activation, targeted by peripherally administered GLP-1R agonists via their axonal compartment, and this access is increased by activation of the GIPR in oligodendrocytes. Collectively, our findings identify a novel mechanism by which incretin therapies may function to promote synergistic weight loss in the management of excess adiposity.

Indexed as

Glucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsOligodendrogliaReceptors, Gastrointestinal HormoneWeight LossAnimalsGastric Inhibitory PolypeptideMaleMiceMice, Inbred C57BLMice, KnockoutObesitySignal TransductionGastric Inhibitory Polypeptidegastric inhibitory polypeptide receptorGlp1r protein, mouseGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsReceptors, Gastrointestinal Hormoneblood-brain barrierglucose-dependent insulinotropic peptidehypothalamusincretinmedian eminenceobesityoligodendrocytesweight loss

Identifiers

PMID40812310
PMCPMC7619446

What OpenQuestion holds

Textmetadata
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.