ArticleCellular and molecular life sciences : CMLS2023
Exosomes from TNF-α preconditioned human umbilical cord mesenchymal stromal cells inhibit the autophagy of acinar cells of severe acute pancreatitis via shuttling bioactive metabolites.
Article in Cellular and molecular life sciences : CMLS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Stem Cell-Derived Extracellular Vesicles for Acute Pancreatitis: a Systematic Review and Meta-analysis of Preclinical Studies.Stem cell reviews and reports · 2025Pooled it
- Article
- Cell death and its interaction with mitochondrial dysfunction in pathogenesis of acute pancreatitis: a comprehensive review.Apoptosis : an international journal on programmed cell death · 2026Review
- P-glycoprotein exofection between fetal and maternal cells as a mechanism of intercellular material transfer at the feto maternal interface.bioRxiv : the preprint server for biology · 2026Article
- Extracellular vesicle-based drug overview: research landscape, quality control and nonclinical evaluation strategies.Signal transduction and targeted therapy · 2025Review
- Exofection by exosomes: A transient functional cargo transfer.Extracellular vesicle · 2025Article
- Cerium-based nanoplatform for severe acute pancreatitis: Achieving enhanced anti-inflammatory effects through calcium homeostasis restoration and oxidative stress mitigation.Materials today. Bio · 2025Article
- Immunopathological characteristics and therapeutic effects of UC-MSCs in a pigeon breeder's lung mouse model.Acta biochimica et biophysica Sinica · 2025Article
- Effects and mechanisms of exosomes in microenvironment angiogenesis in breast cancer: An updated review.Oncology research · 2025Review
- Biological Nanotherapeutics Derived From Human Umbilical Cord Mesenchymal Stem Cells: Mechanisms and Translational Potential in Multisystem Therapies for Regeneration and Oncology.International journal of nanomedicine · 2025Review
- Application of autophagy in mesenchymal stem cells.World journal of stem cells · 2024Article
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Authors and funding
12 authors at 2 institutions in 1 country.
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Abstract
Severe acute pancreatitis (SAP) is a common critical disease of the digestive system, with high mortality and a lack of effective prevention and treatment measures. Despite mesenchymal stromal cell transplantation having the potential to treat SAP, its clinical application prospect is limited, and the mechanism is unclear. Here, we reveal the therapeutic role of exosomes from TNF-α-preconditioned human umbilical cord mesenchymal stromal cells (HUCMSCs) in attenuating SAP and show that it is partly dependent on exosomal metabolites. Bioactive metabolomics analysis showed that 48 metabolites be significantly differentially expressed between the two groups (Exo-Ctrl group versus Exo-TNF-α group). Then, the further functional experiments indicated that 3,4-dihydroxyphenylglycol could be a key molecule mediating the therapeutic effect of TNF-α-preconditioned HUCMSCs. The animal experiments showed that 3,4-dihydroxyphenylglycol reduced inflammation and oxidative stress in the pancreatic tissue and inhibited acinar cell autophagy in a rat model of SAP. Mechanistically, we revealed that 3,4-dihydroxyphenylglycol activated the mTOR pathway to inhibit acinar cell autophagy and alleviate SAP. In summary, our study demonstrated that exosomes from TNF-α-preconditioned HUMSCs inhibit the autophagy of acinar cells of SAP by shuttling 3,4-dihydroxyphenylglycol and inhibiting the mTOR pathway. This study revealed the vital role and therapeutic potential of metabolite-derived exosomes in SAP, providing a new promising method to prevent and therapy SAP.
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Registered trials
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.