Evidence map›Paper›PMID 38766777›Full record

ArticleOrganogenesis2024

Exosomes derived from TNF-α-treated bone marrow mesenchymal stem cells ameliorate myocardial infarction injury in mice.

Shuo Wang, Rubin Wu, Qincong Chen, Tao Liu, Liu Li

Abstract read
In one paragraph

Article in Organogenesis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Shuo WangDepartment of Cardiovascular Medicine, Hebei Medical University of Shijiazhuang People's Hospital, Shijiazhuang, Hebei, China.
Rubin WuDepartment of Cardiovascular Medicine, Hebei Medical University of Shijiazhuang People's Hospital, Shijiazhuang, Hebei, China.
Qincong ChenDepartment of Cardiovascular Medicine, Hebei Medical University of Shijiazhuang People's Hospital, Shijiazhuang, Hebei, China.
Tao LiuDepartment of Cardiovascular Medicine, Hebei Medical University Second Hospital, Shijiazhuang, Hebei, China.
Liu LiDepartment of Cardiovascular Medicine, Hebei Medical University First Hospital, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes derived from bone marrow mesenchymal stem cells (BMSCs) exhibit considerable therapeutic potential for myocardial regeneration. In our investigation, we delved into their impact on various aspects of myocardial infarction (MI), including cardiac function, tissue damage, inflammation, and macrophage polarization in a murine model. We meticulously isolated the exosomes from TNF-α-treated BMSCs and evaluated their therapeutic efficacy in a mouse MI model induced by coronary artery ligation surgery. Our comprehensive analysis, incorporating ultrasound, serum assessment, Western blot, and qRT-PCR, revealed that exosomes from TNF-α-treated BMSCs demonstrated significant therapeutic potential in reducing MI-induced injury. Treatment with these exosomes resulted in improved cardiac function, reduced infarct area, and increased left ventricular wall thickness in MI mice. On a mechanistic level, exosome treatment fostered M2 macrophage polarization while concurrently suppressing M1 polarization. Hence, exosomes derived from TNF-α-treated BMSCs emerge as a promising therapeutic strategy for alleviating MI injury in a mouse model.

Indexed as

ExosomesMesenchymal Stem CellsMyocardial InfarctionTumor Necrosis Factor-alphaAnimalsBone Marrow CellsDisease Models, AnimalMacrophagesMaleMiceMice, Inbred C57BLTumor Necrosis Factor-alphaBMSCsexosomesmacrophage polarizationmyocardial infarctionTNF-α

Identifiers

PMID38766777
PMCPMC11110693

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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.