The DOI matches its Crossref record; 148 of the 149 references it cites were found in a registry or an index.
Mechanisms underlying T cell ageing
Open accessAbstract
T cell ageing has a pivotal role in rendering older individuals vulnerable to infections and cancer and in impairing the response to vaccination. Easy accessibility to peripheral human T cells as well as an expanding array of tools to examine T cell biology have provided opportunities to examine major ageing pathways and their consequences for T cell function. Here, we review emerging concepts of how the body attempts to maintain a functional T cell compartment with advancing age, focusing on three fundamental domains of the ageing process, namely self-renewal, control of cellular quiescence and cellular senescence. Understanding these critical elements in successful T cell ageing will allow the design of interventions to prevent or reverse ageing-related T cell failure.
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“While mouse studies allow us to glean information on immunosenescence, differences between mouse and human immune-ageing have already been discovered, such as in mechanisms controlling naive T cell repertoire diversity135.”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [135]
In the citing paper
“The NFκB, C/EBPβ, and cGAS-STING pathways also play a key role in the induction of T cell senescence [66].”
From Immunosenescence: a key player in cancer development (2020) · cites this paper as [66]
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“Some studies also documented that memory T cells gradually accumulate with age [66, 97–99].”
From Immunosenescence: a key player in cancer development (2020) · cites this paper as [66]
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López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
Age-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841
Molecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652
Aging, Cellular Senescence, and Cancer
Campisi, J. (2013) · Annual Review of Physiology · doi:10.1146/annurev-physiol-030212-183653 · Cited by 2,954
Cellular senescence: from physiology to pathology
Muñoz-Espín, D., & Serrano, M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3823 · Cited by 2,818
Cellular senescence in aging and age-related disease: from mechanisms to therapy
Childs, B. G., Durik, M., Baker, D. J., & van Deursen, J. M. (2015) · Nature Medicine · doi:10.1038/nm.4000 · Cited by 2,363
Senolytics improve physical function and increase lifespan in old age
Xu, M., Pirtskhalava, T., Farr, J. N., Weigand, B. M., Palmer, A. K., Weivoda, M. M., Inman, C. L., Ogrodnik, M. B., Hachfeld, C. M., Fraser, D. G., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0092-9 · Cited by 2,287
Persistent DNA damage signalling triggers senescence-associated inflammatory cytokine secretion
Rodier, F., Coppé, J.-P., Patil, C. K., Hoeijmakers, W. A. M., Muñoz, D. P., Raza, S. R., Freund, A., Campeau, E., Davalos, A. R., & Campisi, J. (2009) · Nature Cell Biology · doi:10.1038/ncb1909 · Cited by 2,232
Oncogene-Induced Senescence Relayed by an Interleukin-Dependent Inflammatory Network
Kuilman, T., Michaloglou, C., Vredeveld, L. C. W., Douma, S., van Doorn, R., Desmet, C. J., Aarden, L. A., Mooi, W. J., & Peeper, D. S. (2008) · Cell · doi:10.1016/j.cell.2008.03.039 · Cited by 2,086
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Items 501–507 of 507
Li, K., Ainiwaer, K., Song, L., Hu, J., Yang, Y., Liu, Y., Li, H., Xu, S., Wang, Y., Yin, J., et al. (2026) · iScience · doi:10.1016/j.isci.2026.117774
Sakatoku, K., Shimazu, Y., Murata, M., Nishida, T., Shirane, S., Kataoka, K., Uchida, N., Sawa, M., Ishikawa, J., Maegaki, M., et al. (2026) · Transplantation and Cellular Therapy · doi:10.1016/j.jtct.2026.10.007
Xu, W., Ruan, X., He, L., Zhang, Y., & Sun, Y. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1972556
Metabolic gatekeepers shape immune cell function in rheumatoid arthritis
Jia, L., Kothagundla, M. N., Goronzy, J. J., & Weyand, C. M. (2026) · Clinical Science · doi:10.1042/cs20250834
Self-citationM’nassri, A., Ayed‐Boussema, I., Mai, L.-H., Nguyen, T., Brouard, S., Rjiba, K., & Abid‐Essefi, S. (2026) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2026.105203
Rus, C. B., Babeş, E. E., Cinezan, C., & Bustea, C. (2026) · Life · doi:10.3390/life16111806
Evertsson, B., Ruffin, N., Theorell, J., Huang, J., Högelin, K. A., Khademi, M., 50, F. P. 4., & Nimer, F. A. (2026) · Immunobiology · doi:10.1016/j.imbio.2026.153260
Metadata
- Authors
- Goronzy, J. J., & Weyand, C. M.
- Affiliations
- VA Palo Alto Health Care System (US)
- Corresponding author
- Goronzy, Jörg J.
- Venue
- Nature Reviews Immunology
- Published
- 2019-06-11
- Volume
- 19
- Issue
- 9
- Pages
- 573-583
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- PMC
- PMC7584388
- OpenAlex
- W2950578975
- Cited by
- 506
- References
- 149
- Citations by year
- 2026: 90 · 2025: 80 · 2024: 90 · 2023: 76 · 2022: 71 · 2021: 62 · 2020: 32 · 2019: 5
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs (I01 BX001669)
- National Institute on Aging (R01AG045779)
- National Heart, Lung, and Blood Institute (P01HL129941, R01HL142068, R01HL117913)
- National Institute of Allergy and Infectious Diseases (R01AI108906, R01AI129191, R01AI108891, U19AI057266)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR042527)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- cellular senescence, T cell quiescence, T cell self-renewal, T cell differentiation, immunosenescence, anti-aging interventions
- MeSH terms
- Immunosenescence, Cell Differentiation, Homeostasis, Humans, Immunologic Memory, Receptors, Antigen, T-Cell, T-Lymphocytes, Cellular Senescence
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