Evidence map›Paper›PMID 41093755›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Trigeminal Motor Nucleus Regulates Microstructure of Feeding Behavior without Affecting Total Food Intake.

Alison Maun Yeng Kok, Yi-Fei Li, Hua Huang, Nan Wang, Yufei Gao, Yu Fu

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alison Maun Yeng KokInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Yi-Fei LiInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Hua HuangDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore.
Nan WangDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, China.
Yufei GaoDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, China.
Yu FuInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore fu_yu@a-star.edu.sg.ORCID 0000-0002-9226-1982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feeding is critical for animal survival and is tightly regulated by designated neural circuits. Several brain regions have been implicated in feeding regulation, including the hypothalamus, amygdala, parabrachial nucleus, and others. However, how these feeding regulation neurons communicate with the executors of feeding behavior, the trigeminal motor (MoV) neurons that directly control mastication muscles, is unclear. Despite its clear involvement in feeding, MoV is rarely considered as a part of the feeding neural network in literature reviews, indicating an incomplete conceptual framework of feeding regulation. Here, by using Isl1 and ChAT as neuronal markers, we genetically targeted MoV neurons to reveal its connections with other brain regions and investigated their function in feeding in mice of either sex. Notably, we identified direct connection of MoV neurons with forebrain regions including the amygdala and bed nucleus of the stria terminalis, while hypothalamic feeding regulation neurons do not represent as a major direct regulator of MoV neurons. Functionally, although complete silencing of MoV neurons renders the mice incapable of eating, acute inhibition or activation of MoV neurons only changed microstructure of feeding behavior without influencing total food intake, suggesting that MoV neurons mainly function as the executor of feeding but are not involved in appetite regulation. Moreover, activating the GABAergic input neurons of MoV neurons generated similar effect as activating the MoV neurons, because MoV neurons are depolarized by GABA transmission. Together, we established the role of MoV neurons in feeding regulation and advanced the understanding of hindbrain feeding regulation network.

Indexed as

EatingFeeding BehaviorTrigeminal Motor NucleusAnimalsFemaleLIM-Homeodomain ProteinsMaleMiceMice, Inbred C57BLMice, TransgenicNeural PathwaysNeuronsTranscription Factorsinsulin gene enhancer binding protein Isl-1LIM-Homeodomain ProteinsTranscription Factorsfeedingtrigeminal motor nucleus

Identifiers

PMID41093755
PMCPMC12660175

What OpenQuestion holds

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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.