Evidence map›Paper›PMID 41188983›Full record

ArticleMolecular brain2025

Gpr176 modulates the firing pattern of parvalbumin-positive interneurons in the orbitofrontal cortex of mouse.

Jing Tian, Ziran Huang, Wen Zhang

Abstract read
In one paragraph

Article in Molecular brain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Jing TianDepartment of Neurobiology, School of Basic Medical Sciences and National Institute on Drug Dependence, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Ziran HuangDepartment of Neurobiology, School of Basic Medical Sciences and National Institute on Drug Dependence, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Wen ZhangDepartment of Neurobiology, School of Basic Medical Sciences and National Institute on Drug Dependence, Peking University, 38 Xueyuan Road, Beijing, 100191, China. zhangw@hsc.pku.edu.cn.

Funding

Ministry of Science and Technology of the People's Republic of China STI2030-Major Projects 2021ZD0202900National Natural Science Foundation of China 32170960
6 · The paper itself

Abstract

Parvalbumin-positive (PV+) interneurons are the most abundant type of interneurons in the cortex. Its characteristic high-frequency non-accommodating firing pattern is critical for cortical inhibition, network activity, and mouse behavior. In the brain, neuromodulation via G protein-coupled receptors (GPCRs) regulates neuronal activities, including the output of neurons. GPCRs are the largest receptor superfamily, and there are GPCRs called "orphan GPCRs" whose endogenous ligands are still not clear. Meanwhile, studies have shown that some of them are constitutively active, but the modulation of these GPCRs on neuronal activity is far from clear. Among orphan GPCRs, Gpr176 is a constitutively active GPCR known for its role in the circadian rhythm in the central nervous system. In the present study, we found that the expression of Gpr176 was mainly expressed in PV + interneurons in the prefrontal cortex, and the knockdown of Gpr176 increased the output of PV + interneurons by increasing the membrane potential change in the repolarizing phase of action potentials in a train. We also found that the synaptic activities of these neurons were not affected. Furthermore, we observed changes in behaviors of mice with the knockdown of Gpr176 in the PV + interneurons of the prefrontal cortex. These data suggest an important role of Gpr176 in the regulation of intrinsic membrane properties of PV + interneurons in the prefrontal cortex.

Indexed as

Action PotentialsInterneuronsParvalbuminsPrefrontal CortexReceptors, G-Protein-CoupledAnimalsBehavior, AnimalGene Knockdown TechniquesMaleMiceMice, Inbred C57BLParvalbuminsReceptors, G-Protein-CoupledAction potentialGpr176Parvalbumin-positive interneuronThe prefrontal cortex

Identifiers

PMID41188983
PMCPMC12584449

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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.