Evidence map›Paper›PMID 40678612›Full record

ArticleJournal of orthopaedic translation2025

PPARγ controls ESCRT-dependent fibroblast-like synoviocyte exosome biogenesis and alleviates chondrocyte osteoarthritis mediated by exosomal ANXA1.

Shuangshuo Jia, Yue Yang, Jiabao Liu, Ziyuan Wang, Lunhao Bai

Abstract read
In one paragraph

Article in Journal of orthopaedic translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Rab27: Molecular switch of tumor exosome secretion (Review).International journal of molecular medicine · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. 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

5 authors.

Shuangshuo JiaDepartment of Orthopedic Surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, China.
Yue YangDepartment of Orthopedic Surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, China.
Jiabao LiuDepartment of Orthopedics, Sun Yat-sen Memorial Hospital, Guangzhou, China.
Ziyuan WangDepartment of Orthopedics Surgery, Central Hospital of Shenyang Medical College, Shenyang, 110000, China.
Lunhao BaiDepartment of Orthopedic Surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exercise therapy has been recognized as first line therapy of osteoarthritis (OA). The exercise related exosome involved in the interaction between fibroblast-like synoviocytes (FLSs) and chondrocytes could be a novel nanoparticle strategy for treating OA. Methods: Single-cell transcriptome sequencing was used to investigate the exercise therapy-related gene. Cells were transfected by recombinant adenovirus carrying knockdown or overexpression sequences. Quantitative proteomics of FLS-derived exosomes via data-independent acquisition was used to investigate exosomal cargo. Results: In this study, PPARγ was upregulated in FLSs under exercise stimulation. Our data revealed that overexpression (OE) PPARγ FLSs derived exosome could ameliorate the OA severity Conclusions: PPARγ controls ESCRT-dependent FLSs exosome biogenesis and alleviates chondrocyte osteoarthritis mediated by exosomal cargo ANXA1 protein. The translational potential of this article: PPARγ/ESCRT - FLSs exosomal ANXA1 - ERK axis provides a deeper theoretical basis for exercise therapy of OA and a new idea for the clinical transformation of nanoparticles into OA therapy.

Indexed as

ANXA1AutophagyExercise therapyExosomeOsteoarthritisPPARγ

Identifiers

PMID40678612
PMCPMC12268348

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.