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Evaluation of immunomodulatory effects of co-culture or supernatant of dexamethasone or IFN-γ-treated adipose-derived mesenchymal stem cells on spleen mononuclear cells
1
Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
2
Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3
Department of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and
Medicine, King’s College London, London, England
* These authors contributed equally
* Corresponding Author: E. Sharif-Paghaleh,
European Cytokine Network 2022, 33(3), 70-78. https://doi.org/10.1684/ecn.2022.0482
Accepted 14 November 2022;
Abstract
Although mesenchymal stem cells (MSCs) have exhibited promising immunomodulatory potential in preclinical studies, clinical studies have revealed variable results. These results often depend on environmental cues. Pre-conditioning MSCs with cytokines is one of the methods used to enhance their immunomodulatory effects. In this study, we harvested adipose-derived MSCs from mice and cultured them with different doses of the cytokine, IFN-γ, and the corticosteroid drug, dexamethasone, in order to investigate their effects on MSC immunosuppressive function. We found the co-culture or supernatant of MSCs, pre-conditioned with IFN-γ, together with spleen mononuclear cells resulted in a significant reduction of mononuclear cell proliferation. Although the supernatant of MSCs, pre-conditioned with dexamethasone, showed similar results, dexamethasone pre-conditioning of co-cultured MSCs increased mononuclear cell proliferation. The results further our understanding of immune-related effects of MSCs which may provide a basis for further in vivo studies to achieve better clinical results. We propose that pre-conditioning with cytokines might be an effective method to boost the immunomodulatory effects of MSCs.Keywords
Cite This Article
Copyright © 2022 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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