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Effects of aging on T cell function
Open accessAbstract
Immunosenescence influences many components of the immune system. Most importantly, profound changes in T cell function are evident in older individuals. The impact of aging on specific T cell subsets has been difficult to examine, but recent advances in murine model systems and new insights into T cell function have allowed for the more precise examination of how T cell responses change with aging. Importantly, recent studies have shown that age-related enhancement of both Th17 generation and regulatory T cell function may contribute to significant changes in immune function. In this review, we summarize the current views on how aging influences the factors that impact T cell function and how this can affect the immune response to infections, vaccinations, and tumors.
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“Furthermore, regulatory T cells (Tregs) appear to accumulate with age and further contribute to reduced responsiveness of effector T cells (11, 12).”
From Aging promotes reorganization of the CD4 T cell landscape toward extreme regulatory and effector phenotypes (2019) · cites this paper as [12]
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Cites
Vignali, D. A. A., Collison, L. W., & Workman, C. J. (2008) · Nature Reviews Immunology · doi:10.1038/nri2343 · Cited by 3,463
A function for interleukin 2 in Foxp3-expressing regulatory T cells
Fontenot, J. D., Rasmussen, J. P., Gavin, M. A., & Rudensky, A. Y. (2005) · Nature Immunology · doi:10.1038/ni1263 · Cited by 1,819
MacLennan, I. C. M. (1994) · Annual Review of Immunology · doi:10.1146/annurev.iy.12.040194.001001 · Cited by 1,795
Interleukin-2 Signaling via STAT5 Constrains T Helper 17 Cell Generation
Laurence, A., Tato, C. M., Davidson, T. S., Kanno, Y., Chen, Z., Yao, Z., Blank, R. B., Meylan, F., Siegel, R., Hennighausen, L., et al. (2007) · Immunity · doi:10.1016/j.immuni.2007.02.009 · Cited by 1,507
Saurwein-Teissl, M., Lung, T. L., Marx, F., Gschösser, C., Asch, E., Blasko, I., Parson, W., Böck, G., Schönitzer, D., Trannoy, E., et al. (2002) · The Journal of Immunology · doi:10.4049/jimmunol.168.11.5893 · Cited by 499
Yager, E. J., Ahmed, M., Lanzer, K., Randall, T. D., Woodland, D. L., & Blackman, M. A. (2008) · The Journal of Experimental Medicine · doi:10.1084/jem.20071140 · Cited by 490
Neutralizing antibodies derived from the B cells of 1918 influenza pandemic survivors
Yu, X., Tsibane, T., McGraw, P. A., House, F. S., Keefer, C. J., Hicar, M. D., Tumpey, T. M., Pappas, C., Perrone, L. A., Martinez, O., et al. (2008) · Nature · doi:10.1038/nature07231 · Cited by 457
Lages, C. S., Suffia, I., Velilla, P. A., Huang, B., Warshaw, G., Hildeman, D. A., Belkaid, Y., & Chougnet, C. (2008) · The Journal of Immunology · doi:10.4049/jimmunol.181.3.1835 · Cited by 399
Cytokine-mediated regulation of antimicrobial proteins
Kolls, J. K., McCray, P. B., & Chan, Y. R. (2008) · Nature reviews. Immunology · doi:10.1038/nri2433 · Cited by 374
Expanded CD4+ and CD8+ T cell clones in elderly humans
Schwab, R., Szabó, P. E., Manavalan, J. S., Weksler, M. E., Posnett, D. N., Pannetier, C., Kourilsky, P., & Even, J. (1997) · The Journal of Immunology · doi:10.4049/jimmunol.158.9.4493 · Cited by 291
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Lee, H., Han, A., Choi, C., Ahn, S., Min, S., Min, S., Lee, H., Kim, D. K., Yang, J., & Ha, J. (2018) · Korean Journal of Transplantation · doi:10.4285/jkstn.2018.32.4.92 · Cited by 1
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Vaillancourt, V. T. (2012) · Constellation (Université du Québec à Chicoutimi) · doi:10.1522/030279331
Warren, K. J. (2012) · Iowa State University Digital Repository (Iowa State University) · doi:10.31274/etd-180810-575
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Gasparoto, T. H. (2009) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.25.2009.tde-25032010-090117
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Clinthorne, J. F. (2013) · Michigan State University Libraries · doi:10.25335/m5zq68
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da Silva, F. P. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2016.tde-14062016-105916
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Diana, E. D. N., Nugraha, W., Rahma, A., Frieda, F., Oktafiani, A., Widyaswari, R., & Irawanto, M. E. (2021) · MEDICINUS · doi:10.56951/medicinus.v34i3.79
Srivast, R., Agrawal, A., Vahed, H., & BenMohamed, L. (2023) · Research Square · doi:10.21203/rs.3.rs-3133852/v1
Immune Response and Infections in the Elderly
Bryan, N. B., & Sarwari, A. R. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316676325.011
Immunogenicity of HIV-1 Env-Gag VLP mRNA and Adenovirus Vector Vaccines in Mice
Yang, J., Ma, Q., He, X., Li, H., Zhang, X., Hao, Y., & Feng, X. (2025) · Vaccines · doi:10.3390/vaccines13121242
Sleep and Immunity in Older Age
Hampson, P., Rossi, A., Arora, T., Lord, J. M., & Taheri, S. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4776-4_12
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24844701
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654485
Liu, W., Xu, J., Pu, Q., Lan, M., Zhang, X., Gu, Y., Wang, Y., Zheng, F., Qian, J., Fan, C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21220382
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654461
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654482
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654479
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654470
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654467
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24844603
Fu, X., Qin, P., Li, F., Zhu, H., You, H., Zhang, Y., Xu, B., Li, T., Zhang, F., Han, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654464
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Metadata
- Authors
- Haynes, L., & Maue, A. C.
- Affiliations
- Trudeau Institute (US)
- SUNY Upstate Medical University (US)
- Corresponding author
- Haynes, Laura
- Maue, Alexander C
- ORCID
- Haynes, Laura
- Venue
- Current Opinion in Immunology
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 21
- Issue
- 4
- Pages
- 414-417
- ISSN
- 0952-7915 (ISSN-L)
- PMC
- PMC3800142
- OpenAlex
- W2048088192
- Cited by
- 244
- References
- 32
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 12 · 2023: 10 · 2022: 13 · 2021: 17 · 2020: 18 · 2019: 13 · 2018: 14 · 2017: 2 · 2016: 13 · 2015: 13 · 2014: 23 · 2013: 22 · 2012: 24
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Immunology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P01AG021600)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- immunosenescence, T cell function, aging, Th17 cells, regulatory T cells, T cell response, infection immunity, vaccination, antitumor immunity
- MeSH terms
- Aging, Animals, Bacterial Infections, Humans, Immune Tolerance, Neoplasms, Vaccination, Virus Diseases, T-Lymphocyte Subsets, Interleukin-17, T-Lymphocytes, Regulatory, Mice
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