Evidence map›Paper›PMID 38845032›Full record

ReviewJournal of biological engineering2024

Role of mesenchymal stem cell-derived exosomes in the regeneration of different tissues.

Defa Huang, Haibin Shen, Fangfang Xie, Die Hu, Qing Jin, Yuexin Hu, Tianyu Zhong

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  5. [Research progress on the mechanisms and optimization strategies of mesenchymal stem cell-derived exosomes in the treatment of liver diseases].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
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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

7 authors.

Defa Huang *Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Haibin Shen *Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Fangfang XieLaboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Die HuLaboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Qing JinLaboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Yuexin HuLaboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Tianyu ZhongLaboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China. zhongtianyu@gmail.com.

Funding

Ganzhou Science and Technology Plan Project 2023LNS37081the National Natural Science Foundation of China 82260422
6 · The paper itself

Abstract

Exosomes are nanovesicles with multiple components used in several applications. Mesenchymal stem cells (MSCs) are well known for their great potential in clinical applications. MSC-derived exosomes (MSC-Exos) have been shown to mediate tissue regeneration in various diseases, including neurological, autoimmune, and inflammatory diseases, cancer, ischemic heart disease, lung injury, and liver fibrosis. They can modulate the immune response by interacting with immune effector cells in the presence of anti-inflammatory compounds and are involved in intercellular communication through various types of cargo. This review summarizes the MSC-Exos-mediated tissue regeneration in various diseases, including neurological, cardiovascular, liver, kidney, articular cartilage, and oral tissue applications. In addition, we discuss the challenges and prospects of MSC-Exos in tissue regeneration.

Indexed as

ExosomesMesenchymal stem cellTissue regeneration

Identifiers

PMID38845032
PMCPMC11155050

What OpenQuestion holds

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Registered trials

None linked

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.