The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Naturally occurring regulatory T cells show reduced sensitivity toward oxidative stress–induced cell death
Open accessAbstract
Although the authors of several studies report elevated numbers of immunosuppressive regulatory T cells (Tregs) in hematologic and solid malignancies, the underlying mechanism is not fully clarified. Cancer is associated with oxidative stress mediated through reactive oxygen species produced by malignant cells, granulocytes, tumor-associated macrophages, and myeloid-derived suppressor cells. Oxidative stress is known to have detrimental effects on natural killer (NK) and T cells during chronic inflammatory conditions and cancer. Paradoxically, greater numbers of Tregs can be detected at tumor sites, indicating that Tregs can persist in this environment of increased oxidative stress. We demonstrate that Tregs, especially naive CD45RA+, exhibit reduced sensitivity to oxidative stress–induced cell death and maintain their suppressive function, a phenomenon that may be attributed to their observed high antioxidative capacity. This newly described characteristic could explain their enrichment in malignancies associated with increased levels of oxidative stress.
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Curiel, T. J., Coukos, G., Zou, L., Alvarez, X., Cheng, P., Mottram, P., Evdemon-Hogan, M., Conejo-Garcia, J. R., Zhang, L., Burow, M., et al. (2004) · Nature Medicine · doi:10.1038/nm1093 · Cited by 5,151
Seddiki, N., Santner-Nanan, B., Martinson, J., Zaunders, J., Sasson, S., Landay, A., Solomon, M., Selby, W., Alexander, S. I., Nanan, R., et al. (2006) · The Journal of Experimental Medicine · doi:10.1084/jem.20060468 · Cited by 1,512
Niedbala, W., Cai, B., Liu, H., Pitman, N., Chang, L., & Liew, F. Y. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0703725104 · Cited by 156
Takahashi, A., Hanson, M. G. V., Norell, H. R., Havelka, A. M., Kono, K., Malmberg, K.-J., & Kiessling, R. V. R. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.10.6080 · Cited by 101
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Cited by
Corzo, C. A., Condamine, T., Lu, L., Cotter, M. J., Youn, J.-I., Cheng, P., Cho, H.-I., Celis, E., Quiceno, D. G., Padhya, T., et al. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20100587 · Cited by 1,173
Huang, Z., Rose, A. H., & Hoffmann, P. R. (2012) · Antioxidants & Redox Signaling · doi:10.1089/ars.2011.4145 · Cited by 908
Metabolic programming and PDHK1 control CD4+ T cell subsets and inflammation
Gerriets, V. A., Kishton, R. J., Nichols, A. G., Macintyre, A. N., Inoue, M., Ilkayeva, O., Winter, P. S., Liu, X., Priyadharshini, B., Slawinska, M. E., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci76012 · Cited by 731
Xu, C., Sun, S., Johnson, T., Qi, R., Zhang, S., Zhang, J., & Yang, K. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109235 · Cited by 518
Neutrophils in Homeostasis, Immunity, and Cancer
Nicolás-Ávila, J. Á., Adrover, J. M., & Hidalgo, A. (2017) · Immunity · doi:10.1016/j.immuni.2016.12.012 · Cited by 403
Metadata
- Authors
- Mougiakakos, D., Johansson, C. C., & Kiessling, R.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2009-04-09
- Volume
- 113
- Issue
- 15
- Pages
- 3542-3545
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W1992776568
- Cited by
- 194
- References
- 4
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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