Evidence map›Paper›PMID 32368413›Full record

ArticleBioResearch open access2020

Goshajinkigan, a Traditional Japanese Medicine, Suppresses Voltage-Gated Sodium Channel Nav1.4 Currents in C2C12 Cells.

Ryota Imai, Shoichiro Horita, Yuko Ono, Keisuke Hagihara, Masaru Shimizu, Yuko Maejima, Kenju Shimomura

Open access · diamondAbstract read
In one paragraph

Article in BioResearch open access, 2020. 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
0.2field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

7 authors at 2 institutions in 1 country.

Ryota ImaiDepartment of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
Shoichiro HoritaDepartment of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
Yuko OnoDepartment of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
Keisuke HagiharaDepartment of Kampo Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Masaru ShimizuDepartment of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
Yuko MaejimaDepartment of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
Kenju ShimomuraDepartment of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
Fukushima Medical University · JPThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Goshajinkigan (GJG) is a traditional Japanese Kampo medicine used clinically to treat muscle pain in Japan. However, its underlying mechanism remains unclear. Since voltage-gated sodium channel (Nav) 1.4 is involved in skeletal muscle contraction, we investigated the possibility that GJG may affect Nav1.4 currents. By using an electrophysiological technique on skeletal muscle cell line C2C12, we found that GJG suppresses Nav1.4 currents in C2C12 cells. It is suggested that GJG may improve skeletal muscle stiffness or cramps by inhibiting abnormal Nav1.4 excitation. GJG may act as a Nav1.4 blocker and may be useful to treat muscle stiffness and clamps as well as easing the pain.

Indexed as

C2C12goshajinkiganKamposkeletal muscletraditional Japanese medicinevoltage-gated sodium channel

Identifiers

PMID32368413
PMCPMC7194311
OpenAlexW3021347561

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.