Evidence map›Paper›PMID 39996740›Full record

ReviewCells2025

Metabolic Regulation by the Hypothalamic Neuropeptide, Gonadotropin-Inhibitory Hormone at Both the Central and Peripheral Levels.

You Lee Son, Simone L Meddle, Yasuko Tobari

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

You Lee SonDivision of Stem Cell Biology, Institute for Genetic Medicine, Hokkaido University, Kita 15, Nishi 7, Kita-ku, Sapporo 060-0815, Japan.ORCID 0000-0002-3429-5324
Simone L MeddleThe Roslin Institute and Royal (Dick) School of Veterinary Studies R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK.ORCID 0000-0002-5629-1332
Yasuko TobariCenter for Human and Animal Symbiosis Science, Department of Animal Science and Biotechnology, School of Veterinary Medicine, Azabu University, Fuchinobe 1-17-71, Chuo-ku, Sagamihara 252-5201, Japan.ORCID 0000-0003-4438-2912

Funding

JSPS KAKENHI 21K06240 and 24K0951104Roslin Institute Strategic Grant funding BB/P013759/1 and BBS/E/RL/230001CUKRI Biotechnology and Biological Sciences Research Council (BBSRC) BB/5015760/1
6 · The paper itself

Abstract

Gonadotropin-inhibitory hormone (GnIH) is well-established as a negative regulator of reproductive physiology and behavior across vertebrates, acting on the hypothalamic-pituitary-gonadal (HPG) axis; however, recent data have also demonstrated its involvement in the control of metabolic processes. GnIH neurons and fibers have been identified in hypothalamic regions associated with feeding behavior and energy homeostasis, with GnIH receptors being expressed throughout the hypothalamus. GnIH does not act alone in the hypothalamus, but rather interacts with the melanocortin system, as well as with other neuropeptides. GnIH and its receptors are also expressed in peripheral tissues involved in important metabolic functions. Therefore, the local action of GnIH in peripheral organs, including the pancreas, gastrointestinal tract, gonad, and adipose tissue, is also suggested. This review aims to provide a comprehensive summary of the emerging role of GnIH in metabolic regulation at both the central and peripheral levels.

Indexed as

Hypothalamic HormonesHypothalamusNeuropeptidesAnimalsEnergy MetabolismHumansHypothalamic HormonesNeuropeptidesadipose tissuefood intakegonadotropin-inhibitory hormone (GnIH)hypothalamusmetabolismRFamide-related peptide-3 (RFRP-3)

Identifiers

PMID39996740
PMCPMC11853802

What OpenQuestion holds

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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.