Evidence map›Paper›PMID 40223406›Full record

ArticlePhysiological reports2025

A semi-automated observation approach to quantify mouse skeletal muscle differentiation using immunohistochemistry.

Kenta Shimizu, Yamato Yoshida, Kenshin Iwasa, Yasuyuki Fujii, Ursula M Jacob, Tilman Fritsch, Ali S Abdelhameed, Vittorio Calabrese, Naomi Osakabe

Abstract read
In one paragraph

Article in Physiological reports, 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

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

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

9 authors.

Kenta ShimizuSystems Engineering and Science, Graduate School of Engineering and Science, Shibaura Institute of Technology, Saitama, Japan.
Yamato YoshidaSystems Engineering and Science, Graduate School of Engineering and Science, Shibaura Institute of Technology, Saitama, Japan.
Kenshin IwasaDepartment of Bioscience and Engineering, Faculty of System Science and Engineering, Shibaura Institute of Technology, Saitama, Japan.
Yasuyuki FujiiSystems Engineering and Science, Graduate School of Engineering and Science, Shibaura Institute of Technology, Saitama, Japan.
Ursula M JacobHealthcare AG, Zurich, Switzerland.
Tilman FritschNAM Institute, Salzburg, Austria.
Ali S AbdelhameedDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Vittorio CalabreseDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Naomi OsakabeSystems Engineering and Science, Graduate School of Engineering and Science, Shibaura Institute of Technology, Saitama, Japan.ORCID 0000-0001-8159-7053

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 23H02166
6 · The paper itself

Abstract

Histological analysis is vital for understanding skeletal muscle diseases. However, quantifying data requires much effort, so automation is expected to reduce workload. The present study proposes a semi-automated method to quantify expressed paired box protein (Pax-7) /bromodeoxyuridine (BrdU)-positive cells. Soleus muscle was harvested from mice 2 weeks after oral administration of the epicatechin tetramer cinnamantanin A2 (A2), known to induce skeletal muscle hypertrophy. Before the necropsy, mice were treated with BrdU to facilitate cell tracking. For histological examination, frozen sections were stained with hematoxylin and eosin (HE) to measure cell size by cross-sectional area (CSA) and were immunostained with anti-BrdU and anti-Pax-7 antibodies. Treatment with A2 caused a shift in the CSA distribution curve towards larger values, thus revealing an increase in muscle size. The analysis of BrdU/Pax-7 positive cells, performed both manually and semi-automatically, revealed a slight increase with A2 treatment, while Pax-7 positive cells remained unchanged. Correlation between manual and semi-automated analysis showed a coefficient of determination of 0.7132, indicating a significant reduction in analysis time by approximately 20 times. This study highlights the effectiveness of semi-automated histological analysis in skeletal muscle research and provides a practical solution to increase the efficiency of muscle regeneration evaluation.

Indexed as

Cell DifferentiationImmunohistochemistryMuscle DevelopmentMuscle, SkeletalAnimalsCatechinMaleMiceMice, Inbred C57BLPAX7 Transcription FactorCatechinPax7 protein, mousePAX7 Transcription FactorBrdUdiffrentationimmunohistochemistryPax‐7semi‐automated quantificationskeletal muscle satellite cells

Identifiers

PMID40223406
PMCPMC11994891

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.