Evidence map›Paper›PMID 42196195›Full record

ArticleInternational journal of molecular sciences2026

A Comparative Analysis of iPSC, MSC, and 293T-Derived Exosomes for Parkinson's Disease Therapy.

Kuan-Fei Chen, Syuan-Ling Lin, Chuan-Hao Kuo, Woei-Cherng Shyu, Long-Bin Jeng, Shih-Ping Liu

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 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

6 authors.

Kuan-Fei ChenGraduate Institute of Biomedical Science, China Medical University, Taichung 411, Taiwan.
Syuan-Ling LinTranslational Medicine Research Center, China Medical University Hospital, Taichung 404, Taiwan.ORCID 0000-0001-8517-754X
Chuan-Hao KuoTranslational Medicine Research Center, China Medical University Hospital, Taichung 404, Taiwan.
Woei-Cherng ShyuTranslational Medicine Research Center, China Medical University Hospital, Taichung 404, Taiwan.
Long-Bin JengCell Therapy Center, China Medical University Hospital, Taichung 404, Taiwan.
Shih-Ping LiuTranslational Medicine Research Center, China Medical University Hospital, Taichung 404, Taiwan.ORCID 0000-0002-5803-4460

Funding

China Medical University Hospital DMR-111-139
6 · The paper itself

Abstract

Parkinson's disease (PD) lacks effective therapeutic methods. Exosomes are specialized vesicles that feature a double-layered lipid structure and are rich in proteins, miRNA, mRNA, growth factors, and other biomolecules. Their diverse components enable tissue repair and cell activation, making exosomes a promising candidate for therapeutic applications, including for PD. Exosomes are widely studied in cancer treatment and regenerative medicine. Since these vesicles retain the characteristics of their source cells, selecting the appropriate cell type is crucial. In this study, we compared exosomes derived from induced pluripotent stem cells (iPSCs), mesenchymal stem cells (MSCs), and 293T cells in terms of particle production, protein content, cellular uptake efficiency, and therapeutic effects on PD. The results showed that exosomes derived from iPSCs outperformed those from the other two cell types in all evaluated aspects, followed by MSC-derived exosomes, while 293T-derived exosomes were the least effective. This study provides valuable comparative data to inform the selection of source cells for exosome-based therapies in regenerative medicine.

Indexed as

ExosomesInduced Pluripotent Stem CellsMesenchymal Stem CellsParkinson DiseaseHEK293 CellsHumansexosomeinduced pluripotent stem cellParkinson’s disease

Identifiers

PMID42196195
PMCPMC13207335

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.