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

Y Yudai Kawamoto A Atomu Yamaguchi X Xiaoqi Ma Y Yunfei Fu Q Qingcheng Guo M Mikiko Uemura H Hidemi Fujino N Noriaki Maeshige

Abstract

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.

Article Details

Volume / Issue Vol. 16, Issue 1
Published February 05, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

Y

Yudai Kawamoto

A

Atomu Yamaguchi

X

Xiaoqi Ma

Y

Yunfei Fu

Q

Qingcheng Guo

M

Mikiko Uemura

H

Hidemi Fujino

N

Noriaki Maeshige