Evidence map›Paper›PMID 42596531›Full record

ArticlePhysiological reports2026

Extracellular vesicles derived from immobilization-induced atrophic muscle of male mice contain distinct microRNA profiles and impact mRNA profiles in brain neurons.

Noriaki Kawanishi, Shuichi Machida, Katsuhiko Suzuki

Abstract read
In one paragraph

Article in Physiological 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

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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

3 authors.

Noriaki KawanishiFaculty of Advanced Engineering, Chiba Institute of Technology, Narashino, Japan.ORCID https://orcid.org/0000-0001-8414-2441
Shuichi MachidaGraduate School of Health and Sports Science, Juntendo University, Inzai, Chiba, Japan.ORCID https://orcid.org/0000-0003-1076-2757
Katsuhiko SuzukiFaculty of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan.ORCID https://orcid.org/0000-0002-6572-5809

Funding

Japan Society for the Promotion of Science KAKENHI 20H00574Japan Society for the Promotion of Science KAKENHI 23H03274
6 · The paper itself

Abstract

Muscle atrophy caused by inactivity leads to declines in multiple physiological functions, including brain function. Although skeletal muscle is known to secrete extracellular vesicles (EVs) such as exosomes, how inactivity-induced muscle atrophy alters the properties and functions of these EVs remains unclear. In this study, we investigated the effects of cast immobilization-induced muscle atrophy on the microRNA (miRNA) profiles of skeletal muscle-derived EVs in mice, as well as their impact on transcriptome changes in brain neurons. Muscle atrophy induced by cast immobilization significantly altered the microRNA profiles of skeletal muscle-derived EVs, with 25 microRNAs upregulated and 2 microRNAs downregulated compared with controls. Moreover, treatment of brain neurons with EVs derived from atrophic skeletal muscle markedly changed neuronal mRNA expression profiles. Gene Ontology (GO) analysis revealed that upregulated mRNAs in EV-treated neurons were enriched in genes involved in the positive regulation of programmed cell death, including apoptosis. Consistently, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis demonstrated activation of apoptosis-related signaling pathways in brain neurons. These findings suggest that muscle atrophy-induced alterations in skeletal muscle-derived EVs may contribute to brain dysfunction by promoting apoptotic processes in brain neurons.

Indexed as

BrainExtracellular VesiclesMicroRNAsMuscle, SkeletalMuscular AtrophyNeuronsRNA, MessengerAnimalsApoptosisImmobilizationMaleMiceMice, Inbred C57BLTranscriptomeMicroRNAsRNA, Messengerbrain neuronsexosomesextracellular vesiclesmicroRNAmuscle atrophy

Identifiers

PMID42596531
PMCPMC13473741

What OpenQuestion holds

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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.