Evidence map›Paper›PMID 33086656›Full record

ArticleBiomedicines2020

Effect of Gosha-Jinki-Gan on Levels of Specific mRNA Transcripts in Mouse Testes after Busulfan Treatment.

Ning Qu, Kenta Nagahori, Miyuki Kuramasu, Yuki Ogawa, Kaori Suyama, Shogo Hayashi, Kou Sakabe, Masahiro Itoh

Abstract read
In one paragraph

Article in Biomedicines, 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
–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. 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

8 authors.

Ning QuDepartment of Anatomy, Division of Basic Medical Science, Tokai University School of Medicine, Kanagawa 259-1193, Japan.ORCID 0000-0001-5110-6719
Kenta NagahoriDepartment of Anatomy, Tokyo Medical University, Tokyo 160-8402, Japan.
Miyuki KuramasuDepartment of Anatomy, Tokyo Medical University, Tokyo 160-8402, Japan.
Yuki OgawaDepartment of Anatomy, Tokyo Medical University, Tokyo 160-8402, Japan.
Kaori SuyamaDepartment of Anatomy, Division of Basic Medical Science, Tokai University School of Medicine, Kanagawa 259-1193, Japan.
Shogo HayashiDepartment of Anatomy, Division of Basic Medical Science, Tokai University School of Medicine, Kanagawa 259-1193, Japan.ORCID 0000-0003-0302-7658
Kou SakabeDepartment of Anatomy, Division of Basic Medical Science, Tokai University School of Medicine, Kanagawa 259-1193, Japan.
Masahiro ItohDepartment of Anatomy, Tokyo Medical University, Tokyo 160-8402, Japan.

Funding

Grant-in-Aid for General Science Research from the Ministry of Education Science Sports and Culture in Japan, and the 2018 Tokai University School of Medicine Research Aid. C: 15K08937 and C: 19K07876
6 · The paper itself

Abstract

With the increase in survival rates of cancer patients in recent years, infertility caused by anticancer treatments has become a significant concern for cancer survivors. Some studies have suggested that Sertoli cells play a key role in mediating testicular immunology in busulfan-induced aspermatogenesis. We recently demonstrated that Gosha-jinki-gan (TJ107), a traditional Japanese medicine, can completely recover injured spermatogenesis in mice 60 days after busulfan injection. In the present study, we sought to examine the levels of mRNA transcripts encoding markers of 25 Sertoli cell-specific products and 10 markers of germ cell differentiation. Our results demonstrated that only supplementation of TJ107 at day 60 after busulfan injection could significantly recover the increase in five mRNA species (

Indexed as

anticancer treatmentaspermatogenesisoriental medicinespecific mRNA transcript

Identifiers

PMID33086656
PMCPMC7603379

What OpenQuestion holds

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Registered trials

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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.