Evidence map›Paper›PMID 39920768›Full record

ArticleStem cell research & therapy2025

Exosomes derived from liver failure patients' plasma stimulated mesenchymal stem cells alleviate acute liver failure.

Zhuoran Wang, Jun Ling, Shaoli You, Bing Zhu

Abstract read
In one paragraph

Article in Stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

1 citing paper in PubMed.

  1. Animal models accurately representing acute liver failure (Review).International journal of molecular medicine · 2026
    Review
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

4 authors.

Zhuoran Wang *The Fifth Medical Center of Chinese PLA General Hospital, No. 100, Xisi Huanzhong Road, Beijing, 10039, China.
Jun Ling *The Fifth Medical Center of Chinese PLA General Hospital, No. 100, Xisi Huanzhong Road, Beijing, 10039, China.
Shaoli YouThe Fifth Medical Center of Chinese PLA General Hospital, No. 100, Xisi Huanzhong Road, Beijing, 10039, China. youshaoli1972@163.com.
Bing ZhuThe Fifth Medical Center of Chinese PLA General Hospital, No. 100, Xisi Huanzhong Road, Beijing, 10039, China. zhubing302@163.com.ORCID http://orcid.org/0000-0003-0190-6384

Funding

National Key Transform Program 2017ZX10203201
6 · The paper itself

Abstract

backgroundExosomes derived from pre-stimulated mesenchymal stem cells (MSCs) have improved therapeutic effects in disease-associated microenvironments. In this study, we investigated the therapeutic potential of exosomes from MSCs stimulated with plasma from patients with liver failure (LF-Exos).

methodsUntreated exosomes (NC-Exos) and LF-Exos were extracted and characterized by nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), western blotting, and miRNA sequencing. We then examined the protective effects of LF-Exos on hepatocytes acutely injured by D-galactosamine (D-GalN)/lipopolysaccharide (LPS) co-treatment and on a mouse model of acute liver failure (ALF). Apoptosis was assessed using the CCK-8 assay and flow cytometry. Liver tissue damage was examined by hematoxylin and eosin staining and immunohistochemistry. The levels of signaling pathway proteins were determined by western blotting.

resultsStimulation with plasma from patients with liver failure significantly altered the morphology of MSCs and reduced their proliferative activity. Gene chip analysis identified 31 differentially expressed miRNAs, and further analysis showed that these differentially expressed miRNAs may affect the PI3K-AKT signaling pathway. Compared to NC-Exos, LF-Exos induced AKT phosphorylation in hepatocytes and liver tissues, inhibited D-GalN/LPS-induced apoptosis in hepatocytes, and reduced pathological liver injury in the mouse model of ALF.

conclusionThe biological effects of Exos were improved after stimulation with plasma from patients with liver failure. LF-Exos may inhibit the activity of the NLRP3 inflammasome and activate the PI3K-AKT signaling pathway to exert protective effects on acutely injured hepatocytes and a mouse model of ALF.

Indexed as

ExosomesLiver Failure, AcuteMesenchymal Stem CellsAnimalsApoptosisCell ProliferationDisease Models, AnimalFemaleGalactosamineHepatocytesHumansLipopolysaccharidesMaleMiceMice, Inbred C57BLMicroRNAsGalactosamineLipopolysaccharidesMicroRNAsProto-Oncogene Proteins c-aktExosomesLiver failureMesenchymal stem cells

Identifiers

PMID39920768
PMCPMC11806533

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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.