Evidence map›Paper›PMID 34341703›Full record

ArticleAging and disease2021

MSC-Derived Exosomes can Enhance the Angiogenesis of Human Brain MECs and Show Therapeutic Potential in a Mouse Model of Parkinson's Disease.

Chunling Xue, Xuechun Li, Li Ba, Mingjia Zhang, Ying Yang, Yang Gao, Zhao Sun, Qin Han, Robert Chunhua Zhao

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

62 citing papers in PubMed, 101 citations in OpenAlex.

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  16. [Recent advances on the role of exosomes in neurodegenerative diseases].Se pu = Chinese journal of chromatography · 2025
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2 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Chunling Xue1Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering of Chinese Academy of Medical Sciences, Beijing Key Laboratory, Beijing, China.
Xuechun Li1Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering of Chinese Academy of Medical Sciences, Beijing Key Laboratory, Beijing, China.
Li Ba1Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering of Chinese Academy of Medical Sciences, Beijing Key Laboratory, Beijing, China.
Mingjia Zhang1Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering of Chinese Academy of Medical Sciences, Beijing Key Laboratory, Beijing, China.
Ying Yang2Department of oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Yang Gao2Department of oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Zhao Sun2Department of oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Qin Han1Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering of Chinese Academy of Medical Sciences, Beijing Key Laboratory, Beijing, China.
Robert Chunhua Zhao1Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Center of Excellence in Tissue Engineering of Chinese Academy of Medical Sciences, Beijing Key Laboratory, Beijing, China.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most widespread neurodegenerative disorder in the world. It has been reported that exosomes derived from mesenchymal stem cells (MSCs) can contribute to the recovery of PD. However, the underlying mechanism remains poorly defined. In this study, proteomics and time-series analysis showed that exosomes derived from MSCs can keep human brain microvascular endothelial cells (HBMECs) in a transcriptionally active state, which may be beneficial for angiogenesis. Next, we found that MSC-derived exosomes can promote the angiogenesis of HBMECs by increasing the expression of ICAM1, and alleviate the damage caused by 1-methyl-4-phenylpyridinium (MPP+) in these cells. Accordingly, when ICAM1 was knocked down, the tube formation ability of HBMECs was obviously decreased. In addition, ICAM1 was found to promote the angiogenesis of HBMECs by activating the SMAD3 and P38MAPK signaling pathways. In a PD mouse model, MSC-derived exosomes were found to contribute to the recovery of PD by promoting ICAM1-related angiogenesis. These findings demonstrate that the exosome-ICAM1-SMAD3/P38MAPK axis can promote the angiogenesis of HBMECs, with possible therapeutic potential for PD.

Indexed as

angiogenesisexosomesMSCsPDSMAD3 and P38MAPK signaling pathways

Identifiers

PMID34341703
PMCPMC8279521
OpenAlexW3187910293

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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.