The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Nanosized UCMSC-derived extracellular vesicles but not conditioned medium exclusively inhibit the inflammatory response of stimulated T cells: implications for nanomedicine
Open accessAbstract
Undesired immune responses have drastically hampered outcomes after allogeneic organ transplantation and cell therapy, and also lead to inflammatory diseases and autoimmunity. Umbilical cord mesenchymal stem cells (UCMSCs) have powerful regenerative and immunomodulatory potential, and their secreted extracellular vesicles (EVs) are envisaged as a promising natural source of nanoparticles to increase outcomes in organ transplantation and control inflammatory diseases. However, poor EV preparations containing highly-abundant soluble proteins may mask genuine vesicular-associated functions and provide misleading data. Here, we used Size-Exclusion Chromatography (SEC) to successfully isolate EVs from UCMSCs-conditioned medium. These vesicles were defined as positive for CD9, CD63, CD73 and CD90, and their size and morphology characterized by NTA and cryo-EM. Their immunomodulatory potential was determined in polyclonal T cell proliferation assays, analysis of cytokine profiles and in the skewing of monocyte polarization. In sharp contrast to the non-EV containing fractions, to the complete conditioned medium and to ultracentrifuged pellet, SEC-purified EVs from UCMSCs inhibited T cell proliferation, resembling the effect of parental UCMSCs. Moreover, while SEC-EVs did not induce cytokine response, the non-EV fractions, conditioned medium and ultracentrifuged pellet promoted the secretion of pro-inflammatory cytokines by polyclonally stimulated T cells and supported Th17 polarization. In contrast, EVs did not induce monocyte polarization, but the non-EV fraction induced CD163 and CD206 expression and TNF-α production in monocytes. These findings increase the growing evidence confirming that EVs are an active component of MSC's paracrine immunosuppressive function and affirm their potential for therapeutics in nanomedicine. In addition, our results highlight the importance of well-purified and defined preparations of MSC-derived EVs to achieve the immunosuppressive effect.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Dominici, M., Le Blanc, K., Mueller, I., Slaper-Cortenbach, I., Marini, F. C., Krause, D. S., Deans, R. J., Keating, A., Prockop, D. J., & Horwitz, E. M. (2006) · Cytotherapy · doi:10.1080/14653240600855905 · Cited by 17,766
The M1 and M2 paradigm of macrophage activation: Time for reassessment
Martinez, F. O., & Gordon, S. (2014) · F1000Prime Reports · doi:10.12703/p6-13 · Cited by 4,689
Current concepts in the diagnosis and management of cytokine release syndrome.
Lee, D. W., Gardner, R., Porter, D. L., Louis, C. U., Ahmed, N., Jensen, M., Grupp, S. A., & Mackall, C. L. (2014) · Blood · doi:10.1182/blood-2014-05-552729 · Cited by 2,806
Volpe, E., Servant, N., Zollinger, R., Bogiatzi, S. I., Hupé, P., Barillot, E., & Soumelis, V. (2008) · Nature Immunology · doi:10.1038/ni.1613 · Cited by 938
Mesenchymal stem cell exosome: a novel stem cell-based therapy for cardiovascular disease
Lai, R. C., Chen, T. S., & Lim, S. K. (2011) · Regenerative Medicine · doi:10.2217/rme.11.35 · Cited by 553 · cited 1×
“The majority of these caveats could be overcome by using EVs, resulting in a number of reports describing their benefits [22,44].”
BackgroundEvidence-Based Clinical Use of Nanoscale Extracellular Vesicles in Nanomedicine
Fais, S., O’Driscoll, L., Borras, F. E., Buzas, E., Camussi, G., Cappello, F., Carvalho, J., Cordeiro da Silva, A., Del Portillo, H., El Andaloussi, S., et al. (2016) · ACS Nano · doi:10.1021/acsnano.5b08015 · Cited by 481
Mesenchymal stem cells induce apoptosis of activated T cells
Plumas, J., Chaperot, L., Richard, M.-J., Molens, J.-P., Bensa, J.-C., & Favrot, M.-C. (2005) · Leukemia · doi:10.1038/sj.leu.2403871 · Cited by 326
Cited by
Han, Y., Yang, J., Fang, J., Zhou, Y., Candi, E., Wang, J., Hua, D., Shao, C., & Shi, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00932-0 · Cited by 720
Haraszti, R. A., Miller, R., Stoppato, M., Sere, Y. Y., Coles, A., Didiot, M.-C., Wollacott, R., Sapp, E., Dubuke, M. L., Li, X., et al. (2018) · Molecular Therapy · doi:10.1016/j.ymthe.2018.09.015 · Cited by 567
Cosenza, S., Toupet, K., Maumus, M., Luz-Crawford, P., Blanc-Brude, O., Jorgensen, C., & Noël, D. (2018) · Theranostics · doi:10.7150/thno.21072 · Cited by 490
Extracellular vesicle isolation methods: rising impact of size-exclusion chromatography
Monguió-Tortajada, M., Gálvez-Montón, C., Bayes-Genis, A., Roura, S., & Borràs, F. E. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03071-y · Cited by 438
Self-citationDabrowska, S., Andrzejewska, A., Janowski, M., & Lukomska, B. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.591065 · Cited by 282
Metadata
- Authors
- Monguió-Tortajada, M., Roura, S., Gálvez-Montón, C., Pujal, J. M., Aran, G., Sanjurjo, L., Franquesa, M., Sarrias, M.-R., Bayes-Genis, A., & Borràs, F. E.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2017
- Volume
- 7
- Issue
- 2
- Pages
- 270-284
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W2566274288
- Cited by
- 176
- References
- 7
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nanosized UCMSC-derived extracellular vesicles but not conditioned medium exclusively inhibit the inflammatory response of stimulated T cells: implications for nanomedicine. https://app.cochat.ai/papers/10.7150/thno.16154
- The paper
- Monguió-Tortajada, M., Roura, S., Gálvez-Montón, C., Pujal, J. M., Aran, G., Sanjurjo, L., Franquesa, M., Sarrias, M.-R., Bayes-Genis, A., & Borràs, F. E. (2017). Nanosized UCMSC-derived extracellular vesicles but not conditioned medium exclusively inhibit the inflammatory response of stimulated T cells: implications for nanomedicine. Theranostics. https://doi.org/10.7150/thno.16154
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
