Evidence map›Paper›PMID 39339669›Full record

ReviewNutrients2024

The Possible Involvement of Glucagon-like Peptide-2 in the Regulation of Food Intake through the Gut-Brain Axis.

Maria Caterina Baccari, Maria Giuliana Vannucchi, Eglantina Idrizaj

Abstract readReview
In one paragraph

Review in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Maria Caterina BaccariDepartment of Experimental & Clinical Medicine, Section of Physiological Sciences, University of Florence, 50134 Florence, Italy.ORCID 0000-0003-4665-1426
Maria Giuliana VannucchiDepartment of Experimental & Clinical Medicine, Research Unit of Histology & Embryology, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-1060-5025
Eglantina IdrizajDepartment of Experimental & Clinical Medicine, Section of Physiological Sciences, University of Florence, 50134 Florence, Italy.ORCID 0000-0002-2756-6552

Funding

University of Florence RI-CATEN23
6 · The paper itself

Abstract

Food intake regulation is a complex mechanism involving the interaction between central and peripheral structures. Among the latter, the gastrointestinal tract represents one of the main sources of both nervous and hormonal signals, which reach the central nervous system that integrates them and sends the resulting information downstream to effector organs involved in energy homeostasis. Gut hormones released by nutrient-sensing enteroendocrine cells can send signals to central structures involved in the regulation of food intake through more than one mechanism. One of these is through the modulation of gastric motor phenomena known to be a source of peripheral satiety signals. In the present review, our attention will be focused on the ability of the glucagon-like peptide 2 (GLP-2) hormone to modulate gastrointestinal motor activity and discuss how its effects could be related to peripheral satiety signals generated in the stomach and involved in the regulation of food intake through the gut-brain axis. A better understanding of the possible role of GLP-2 in regulating food intake through the gut-brain axis could represent a starting point for the development of new strategies to treat some pathological conditions, such as obesity.

Indexed as

Brain-Gut AxisEatingGlucagon-Like Peptide 2AnimalsBrainGastrointestinal MotilityGastrointestinal TractHumansGlucagon-Like Peptide 2food intakegastric motilityglucagon-like peptide-2 (GLP-2)gut–brain axisperipheral satiety signals

Identifiers

PMID39339669
PMCPMC11435434

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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.