Evidence map›Paper›PMID 29221794›Full record

ArticleNeuropharmacology2018

GLP-1 action in the mouse bed nucleus of the stria terminalis.

Diana L Williams, Nicole A Lilly, Ian J Edwards, Pallas Yao, James E Richards, Stefan Trapp

Open access · hybridAbstract read
In one paragraph

Article in Neuropharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. A Distinct Subpopulation of Extended Amygdala Neurons Drives Food Intake.Biological psychiatry global open science · 2026
    Article
  5. Article
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  7. Review
  8. Review
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  10. Novel neural pathways targeted by GLP-1R agonists and bariatric surgery.Pflugers Archiv : European journal of physiology · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

6 authors at 2 institutions in 2 countries.

Diana L WilliamsPsychology Department & Program in Neuroscience, Florida State University, USA.
Nicole A LillyPsychology Department & Program in Neuroscience, Florida State University, USA.
Ian J EdwardsCentre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology & Pharmacology, University College London, London, WC1E 6BT, UK.
Pallas YaoCentre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology & Pharmacology, University College London, London, WC1E 6BT, UK.
James E RichardsCentre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology & Pharmacology, University College London, London, WC1E 6BT, UK.
Stefan TrappCentre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology & Pharmacology, University College London, London, WC1E 6BT, UK. Electronic address: s.trapp@ucl.ac.uk.
University College London · GBFlorida State University · US

Funding

Neuroendocrine Integration of Satiety and Food RewardR01DK095757 · NIDDK · FLORIDA STATE UNIVERSITY · PI WILLIAMS, DIANA L · 2013 to 2022
$3.3M
Medical Research Council MR/J013293/2Medical Research Council MR/N02589X/1NIDDK NIH HHS R01 DK095757
6 · The paper itself

Abstract

Glucagon-like peptide-1 (GLP-1) injected into the brain reduces food intake. Similarly, activation of preproglucagon (PPG) cells in the hindbrain which synthesize GLP-1, reduces food intake. However, it is far from clear whether this happens because of satiety, nausea, reduced reward, or even stress. Here we explore the role of the bed nucleus of the stria terminalis (BNST), an area involved in feeding control as well as stress responses, in GLP-1 responses. Using cre-expressing mice we visualized projections of NTS PPG neurons and GLP-1R-expressing BNST cells with AAV-driven Channelrhodopsin-YFP expression. The BNST displayed many varicose YFP+ PPG axons in the ventral and less in the dorsal regions. Mice which express RFP in GLP-1R neurons had RFP+ cells throughout the BNST with the highest density in the dorsal part, suggesting that PPG neuron-derived GLP-1 acts in the BNST. Indeed, injection of GLP-1 into the BNST reduced chow intake during the dark phase, whereas injection of the GLP-1 receptor antagonist Ex9 increased feeding. BNST-specific GLP-1-induced food suppression was less effective in mice on high fat (HF, 60%) diet, and Ex9 had no effect. Restraint stress-induced hypophagia was attenuated by BNST Ex9 treatment, further supporting a role for endogenous brain GLP-1. Finally, whole-cell patch clamp recordings of RFP+ BNST neurons demonstrated that GLP-1 elicited either a depolarizing or hyperpolarizing reversible response that was of opposite polarity to that under dopamine. Our data support a physiological role for BNST GLP-1R in feeding, and suggest complex cellular responses to GLP-1 in this nucleus.

Indexed as

Analysis of VarianceAnimalsDose-Response Relationship, DrugEatingExcitatory Amino Acid AntagonistsGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorLuminescent ProteinsMaleMembrane PotentialsMiceMice, Inbred C57BLMice, TransgenicPatch-Clamp TechniquesPeptide FragmentsProglucagonExcitatory Amino Acid Antagonistsexendin (9-39)FG 9041Glucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorLuminescent ProteinsPeptide FragmentsProglucagonQuinoxalinesBNSTChannelrhodopsinElectrophysiologyFood intakeGlucagon-like peptide-1 receptorPPGPreproglucagonStress

Identifiers

PMID29221794
PMCPMC5840513
OpenAlexW2771716101

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.