Evidence map›Paper›PMID 41644686›Full record

ArticleScientific reports2026

Functional properties of skeletal myotube-derived extracellular vesicles based on microRNA profiles: a comparative analysis with mesenchymal stem cell-derived extracellular vesicles.

Yudai Kawamoto, Atomu Yamaguchi, Xiaoqi Ma, Yunfei Fu, Qingcheng Guo, Mikiko Uemura, Hidemi Fujino, Noriaki Maeshige

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yudai KawamotoDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Atomu YamaguchiDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Xiaoqi MaDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Yunfei FuDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Qingcheng GuoDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Mikiko UemuraDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Hidemi FujinoDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan.
Noriaki MaeshigeDepartment of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Kobe, Hyogo, 654-0142, Japan. nmaeshige@pearl.kobe-u.ac.jp.

Funding

Fusion-Oriented Research for Disruptive Science and Technology (FOREST) of the Japan Science and Technology Agency JPMJFR234WJSPS KAKENHI 25K02978JSPS KAKENHI 25K20839
6 · The paper itself

Abstract

Skeletal muscle-derived extracellular vesicles (SkM-EVs) are promising candidates for non-invasive, systemically delivered therapies, but their functional specificity relative to clinically advanced mesenchymal stem cell-derived EVs (MSC-EVs) remains unclear. We reanalyzed public miRNA-seq datasets of SkM-EVs and MSC-EVs and integrated validated miRNA-mRNA interactions to infer pathway-level repression potential of EV miRNA cargo. Two complementary approaches were used: a differential-expression-based relative evaluation with RBiomirGS, and an abundance-weighted absolute evaluation that converts miRNA profiles into gene-level Impact Scores followed by preranked KEGG enrichment. Despite their different formulations, both approaches converged on a shared pattern. SkM-EV miRNAs showed a predicted repression bias in FoxO, TGF-β and ErbB signaling pathways linked to muscle atrophy, metabolic homeostasis and pro-proliferative signaling. By contrast, MSC-EV miRNAs showed a predicted repression bias in immune signaling pathways. These source-dependent pathway signatures provide hypothesis-generating evidence that SkM-EVs may be better suited for muscle-, metabolic-, and cancer-related indications, whereas MSC-EVs may be more appropriate for immunomodulatory indications, pending experimental validation. Our miRNA-target-based framework provides a general strategy to benchmark EV sources at the pathway level directly from miRNA profiles.

Indexed as

Extracellular VesiclesMesenchymal Stem CellsMicroRNAsMuscle Fibers, SkeletalAnimalsGene Expression ProfilingHumansMuscle, SkeletalSignal TransductionMicroRNAsEnrichment analysisExtracellular vesiclesMesenchymal stem cellmicroRNA profilingSkeletal muscle

Identifiers

PMID41644686
PMCPMC12929730

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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.