Evidence map›Paper›PMID 34552631›Full record

ArticleStem cells international2021

Human Umbilical Cord Mesenchymal Stem Cell-Derived Extracellular Vesicles Promote the Proliferation of Schwann Cells by Regulating the PI3K/AKT Signaling Pathway via Transferring miR-21.

Yongbin Ma, Dan Zhou, Huanyan Zhang, Liming Tang, Fen Qian, Jianhua Su

Abstract read
In one paragraph

Article in Stem cells international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  11. Hitting the target: cell signaling pathways modulation by extracellular vesicles.Extracellular vesicles and circulating nucleic acids · 2024
    Review
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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.

Yongbin MaDepartment of Central Laboratory, Jintan Hospital, Jiangsu University, 500 Avenue Jintan, Jintan 213200, China.ORCID https://orcid.org/0000-0002-7287-2284
Dan ZhouDepartment of Central Laboratory, Jintan Hospital, Jiangsu University, 500 Avenue Jintan, Jintan 213200, China.ORCID https://orcid.org/0000-0002-0544-2516
Huanyan ZhangDepartment of Central Laboratory, Jintan Hospital, Jiangsu University, 500 Avenue Jintan, Jintan 213200, China.ORCID https://orcid.org/0000-0003-0318-2762
Liming TangDepartment of Pain, Zhi'xi Town Center Hospital, 128 Zhenxing South Road, Jintan 213251, China.ORCID https://orcid.org/0000-0002-6817-9567
Fen QianDepartment of Pain, Zhi'xi Town Center Hospital, 128 Zhenxing South Road, Jintan 213251, China.ORCID https://orcid.org/0000-0003-3286-6899
Jianhua SuDepartment of Central Laboratory, Jintan Hospital, Jiangsu University, 500 Avenue Jintan, Jintan 213200, China.ORCID https://orcid.org/0000-0002-6621-180X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an alternative mesenchymal stem cell- (MSC-) based therapy, MSC-derived extracellular vesicles (EVs) have shown promise in the field of regenerative medicine. We previously found that human umbilical cord mesenchymal stem cell-derived EVs (hUCMSC-EVs) improved functional recovery and nerve regeneration in a rat model of sciatic nerve transection. However, the underlying mechanisms are poorly understood. Here, we demonstrated for the first time that hUCMSC-EVs promoted the proliferation of Schwann cells by activating the PI3K/AKT signaling pathway. Furthermore, we showed that hUCMSC-EVs mediated Schwann cell proliferation via transfer of miR-21. Our findings highlight a novel mechanism of hUCMSC-EVs in treating peripheral nerve injury and suggest that hUCMSC-EVs may be an attractive option for clinical application in the treatment of peripheral nerve injury.

Identifiers

PMID34552631
PMCPMC8452411

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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.