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Foxp3 and Toll-like receptor signaling balance Treg cell anabolic metabolism for suppression
Open accessAbstract
CD4+ effector T cells (Teff cells) and regulatory T cells (Treg cells) undergo metabolic reprogramming to support proliferation and immunological function. Although signaling via the lipid kinase PI(3)K (phosphatidylinositol-3-OH kinase), the serine-threonine kinase Akt and the metabolic checkpoint kinase complex mTORC1 induces both expression of the glucose transporter Glut1 and aerobic glycolysis for Teff cell proliferation and inflammatory function, the mechanisms that regulate Treg cell metabolism and function remain unclear. We found that Toll-like receptor (TLR) signals that promote Treg cell proliferation increased PI(3)K-Akt-mTORC1 signaling, glycolysis and expression of Glut1. However, TLR-induced mTORC1 signaling also impaired Treg cell suppressive capacity. Conversely, the transcription factor Foxp3 opposed PI(3)K-Akt-mTORC1 signaling to diminish glycolysis and anabolic metabolism while increasing oxidative and catabolic metabolism. Notably, Glut1 expression was sufficient to increase the number of Treg cells, but it reduced their suppressive capacity and Foxp3 expression. Thus, inflammatory signals and Foxp3 balance mTORC1 signaling and glucose metabolism to control the proliferation and suppressive function of Treg cells.
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Cites
Fundamentals of Cancer Metabolism
DeBerardinis, R. J., & Chandel, N. S. (2016) · Science Advances · doi:10.1126/sciadv.1600200 · Cited by 3,013
Michalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091
Self-citationThe Immunological Genome Project: networks of gene expression in immune cells
The Immunological Genome Project Consortium, Heng, T. S. P., Painter, M. W., Elpek, K., Lukacs-Kornek, V., Mauermann, N., Turley, S. J., Koller, D., Kim, F. S., Wagers, A. J., et al. (2008) · Nature Immunology · doi:10.1038/ni1008-1091 · Cited by 1,864
Shi, L. Z., Wang, R., Huang, G., Vogel, P., Neale, G., Green, D. R., & Chi, H. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20110278 · Cited by 1,803
Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1
Dang, E. V., Barbi, J., Yang, H.-Y., Jinasena, D., Yu, H., Zheng, Y., Bordman, Z., Fu, J., Kim, Y., Yen, H.-R., et al. (2011) · Cell · doi:10.1016/j.cell.2011.07.033 · Cited by 1,595
Everts, B., Amiel, E., Huang, S. C.-C., Smith, A. M., Chang, C.-H., Lam, W. Y., Redmann, V., Freitas, T. C., Blagih, J., van der Windt, G. J. W., et al. (2014) · Nature Immunology · doi:10.1038/ni.2833 · Cited by 1,064
Panduro, M., Benoist, C., & Mathis, D. (2016) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095948 · Cited by 536
Cutting Edge: Regulatory T Cells Facilitate Cutaneous Wound Healing
Nosbaum, A., Prevel, N., Truong, H.-A., Mehta, P., Ettinger, M., Scharschmidt, T. C., Ali, N. H., Pauli, M. L., Abbas, A. K., & Rosenblum, M. D. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1502139 · Cited by 418
Tissue adaptation of regulatory and intraepithelial CD4 + T cells controls gut inflammation
Sujino, T., London, M., Hoytema van Konijnenburg, D. P., Rendon, T., Buch, T., Silva, H. M., Lafaille, J. J., Reis, B. S., & Mucida, D. (2016) · Science · doi:10.1126/science.aaf3892 · Cited by 250
Wang, S., Charbonnier, L.-M., Noval Rivas, M., Georgiev, P., Li, N., Gerber, G., Bry, L., & Chatila, T. A. (2015) · Immunity · doi:10.1016/j.immuni.2015.06.014 · Cited by 161
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Vitale, I., Manic, G., Coussens, L. M., Kroemer, G., & Galluzzi, L. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.06.001 · Cited by 1,837
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Lu, L., Barbi, J., & Pan, F. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2017.75 · Cited by 580
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Kishton, R. J., Sukumar, M., & Restifo, N. P. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.016 · Cited by 548
Self-citationSaravia, J., Chapman, N. M., & Chi, H. (2019) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0220-6 · Cited by 489
Wang, H., Zhang, H., Wang, Y., Brown, Z. J., Xia, Y., Huang, Z., Shen, C., Hu, Z., Beane, J., Ansa-Addo, E. A., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.07.032 · Cited by 398
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Fuchs, E., & Blau, H. M. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.09.011 · Cited by 332
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Gaber, T., Strehl, C., & Buttgereit, F. (2017) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2017.37 · Cited by 320
Competition for nutrients and its role in controlling immune responses
Kedia-Mehta, N., & Finlay, D. K. (2019) · Nature Communications · doi:10.1038/s41467-019-10015-4 · Cited by 287
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Sugiura, A., & Rathmell, J. C. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1701041 · Cited by 208
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Salmond, R. J. (2018) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2018.00122 · Cited by 211
Mesenchymal stem cell repression of Th17 cells is triggered by mitochondrial transfer
Luz-Crawford, P., Hernandez, J., Djouad, F., Luque-Campos, N., Caicedo, A., Carrère-Kremer, S., Brondello, J.-M., Vignais, M.-L., Pène, J., & Jorgensen, C. (2019) · Stem Cell Research & Therapy · doi:10.1186/s13287-019-1307-9 · Cited by 152
Functional reprogramming of regulatory T cells in the absence of Foxp3
Charbonnier, L.-M., Cui, Y., Stephen-Victor, E., Harb, H., Lopez, D., Bleesing, J. J., Garcia-Lloret, M. I., Chen, K., Ozen, A., Carmeliet, P., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0442-x · Cited by 145
Kim, M. J., Kim, K., Park, H. J., Kim, G.-R., Hong, K. H., Oh, J. H., Son, J., Park, D. J., Kim, D., Choi, J.-M., et al. (2023) · Nature Immunology · doi:10.1038/s41590-022-01373-1 · Cited by 90
Treg Destabilization and Reprogramming: Implications for Cancer Immunotherapy
Munn, D. H., Sharma, M. D., & Johnson, T. S. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-1351 · Cited by 84
Regulatory T Cell Stability and Plasticity in Atherosclerosis
Ali, A. J., Makings, J., & Ley, K. (2020) · Cells · doi:10.3390/cells9122665 · Cited by 65
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Wara, A. K., Wang, S., Wu, C., Fang, F., Haemmig, S., Weber, B. N., Aydogan, C. O., Tesmenitsky, Y., Aliakbarian, H., Hawse, J. R., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108550 · Cited by 49
Single-cell RNA-seq unveils critical regulators of human FOXP3+ regulatory T cell stability
Yi, G., Zhao, Y., Xie, F., Zhu, F., Wan, Z., Wang, J., Wang, X., Gao, K., Cao, L., Li, X., et al. (2020) · Science Bulletin · doi:10.1016/j.scib.2020.01.002 · Cited by 27
Treg Cells Survive and Thrive in Inhospitable Environments
Grzes, K. M., Field, C. S., & Pearce, E. J. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.05.012 · Cited by 16
Metadata
- Authors
- Gerriets, V. A., Kishton, R. J., Johnson, M. O., Cohen, S., Siska, P. J., Nichols, A. G., Warmoes, M. O., de Cubas, A. A., MacIver, N. J., Locasale, J. W., Turka, L. A., Wells, A. D., & Rathmell, J. C.
- Venue
- Nature Immunology
- Published
- 2016-10-03
- Volume
- 17
- Issue
- 12
- Pages
- 1459-1466
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W2529711900
- Cited by
- 539
- References
- 10
- FWCI
- 22.71
- Type
- journal article
- Language
- en
- Open access
- green
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