Evidence map›Paper›PMID 42865716›Full record

ReviewFrontiers in medicine2026

Roles of exosomal miRNAs from different sources in knee osteoarthritis: exercise-regulated skeletal muscle-derived exosomal miRNAs as a prospective therapeutic avenue.

Panpan Li, Si Tang, Benxiang He

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 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

3 authors.

Panpan LiSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, China.
Si TangSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, China.
Benxiang HeSichuan Academy of Chinese Medical Sciences, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee osteoarthritis (KOA) is the most prevalent degenerative joint disorder in the aging population and a leading cause of joint deformity and physical disability. Long-term KOA management demands sustained pharmacological and lifestyle interventions, while advanced stages often necessitate joint replacement surgery, imposing heavy socioeconomic burdens. This narrative review examines the roles of exosomal microRNAs (miRNAs) from diverse cellular sources in KOA, with particular emphasis on exercise-regulated, skeletal muscle-derived exosomal miRNAs. A literature search of PubMed, Web of Science, and Scopus was conducted for relevant publications up to June 2026. Recent evidence demonstrates that exosomes from multiple cell types carry bioactive miRNAs that exert anti-inflammatory effects, facilitate cartilage repair, and regulate subchondral bone remodeling in KOA. While most research focuses on local joint cells and stem cell derivatives, skeletal muscle-the body's largest endocrine organ-remains understudied. Under aging or oxidative stress, senescence-associated miRNAs such as miR-34a are upregulated in muscle-derived exosomes and delivered systemically to joint tissues, modulating chondrocyte function and skeletal stem cell activity. In contrast, exercise dynamically remodels muscle-derived exosomal miRNA profiles, driving favorable metabolic outcomes in skeletal joints via muscle-joint crosstalk. Collectively, these findings suggest that muscle-derived exosomal miRNAs represent a biologically plausible therapeutic avenue for KOA, though direct clinical validation remains to be established.

Indexed as

exosomesknee osteoarthritismesenchymal stem cellsmicroRNAsmuscle-derived exosomes

Identifiers

PMID42865716
PMCPMC13655580

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.