Evidence map›Paper›PMID 29416504›Full record

ArticleFrontiers in cellular neuroscience2018

Electrophysiological and Morphological Properties of α and γ Motoneurons in the Rat Trigeminal Motor Nucleus.

Kayo Nishimura, Masahiro Ohta, Mitsuru Saito, Yukako Morita-Isogai, Hajime Sato, Eriko Kuramoto, Dong Xu Yin, Yoshinobu Maeda, Takeshi Kaneko, Takashi Yamashiro and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

14 authors at 4 institutions in 2 countries.

Kayo NishimuraDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Masahiro OhtaDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Mitsuru SaitoDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Yukako Morita-IsogaiDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Hajime SatoDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Eriko KuramotoDepartment of Oral Anatomy and Cell Biology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Dong Xu YinDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Yoshinobu MaedaDepartment of Removable Prosthodontics, Osaka University Graduate School of Dentistry, Suita, Japan.
Takeshi KanekoDepartment of Morphological Brain Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takashi YamashiroDepartment of Orthodontics and Dentofacial Orthopedics, Osaka University Graduate School of Dentistry, Suita, Japan.
Kenji TakadaDepartment of Orthodontics and Dentofacial Orthopedics, Osaka University Graduate School of Dentistry, Suita, Japan.
Seog Bae OhDepartment of Neurobiology and Physiology, School of Dentistry, Seoul National University, Seoul, South Korea.
Hiroki ToyodaDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Youngnam KangDepartment of Neuroscience and Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan.
Osaka University · JPKagoshima University · JPKyoto University · JPSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The muscle contraction during voluntary movement is regulated by activities of α- and γ-motoneurons (αMNs and γMNs, respectively). The tension of jaw-closing muscles can be finely tuned over a wide range. This excellent function is likely to be achieved by the specific populations of αMNs innervating jaw-closing muscles. Indeed, we have recently demonstrated that in the rat dorsolateral trigeminal motor nucleus (dl-TMN), the size distribution of αMNs was bimodal and the population of smaller αMNs showed a size distribution similar to that of γMNs, by immunohistochemically identifying αMNs and γMNs based on the expressions of estrogen-related receptor gamma (Err3) and neuronal DNA binding protein NeuN together with ChAT. This finding suggests the presence of αMNs as small as γMNs. However, differences in the electrophysiological membrane properties between αMNs and γMNs remain unknown also in the dl-TMN. Therefore, in the present study, we studied the electrophysiological membrane properties of MNs in the dl-TMN of infant rats at postnatal days 7-12 together with their morphological properties using whole-cell current-clamp recordings followed by immunohistochemical staining with an anti-NeuN and anti-ChAT antibodies. We found that the ChAT-positive and NeuN-positive αMNs were divided into two subclasses: the first one had a larger cell body and displayed a 4-aminopyridine (4-AP)-sensitive current while the second one had a smaller cell body and displayed a less prominent 4-AP-sensitive current and a low-threshold spike, suitable for their orderly recruitment. We finally found that γMNs showing ChAT-positive and NeuN-negative immunoreactivities had smaller cell bodies and displayed an afterdepolarization mediated by flufenamate-sensitive cation current. It is suggested that these electrophysiological and morphological features of MNs in the dl-TMN are well correlated with the precise control of occlusion.

Indexed as

electrophysiologyNeuNtrigeminal motor nucleusα-motoneuronγ-motoneuron

Identifiers

PMID29416504
PMCPMC5787551
OpenAlexW2791746460

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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.