The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Understanding immunosenescence to improve responses to vaccines
Open accessAbstract
In the older adult, the benefits of vaccination to prevent infectious disease are limited, mainly because of the adaptive immune system's inability to generate protective immunity. The age-dependent decrease in immunological competence, often referred to as 'immunosenescence', results from the progressive deterioration of innate and adaptive immune responses. Most insights into mechanisms of immunological aging have been derived from studies of mouse models. In this Review, we explore how well such models are applicable to understanding the aging process throughout the 80-100 years of human life and discuss recent advances in identifying and characterizing the mechanisms that underlie age-associated defective adaptive immunity in humans.
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“These and other models, for which it has been shown that accelerated aging depends, at least partly, on cellular senescence, are valuable for studying the impact of senescence on health and lifespan”
From Guidelines for minimal information on cellular senescence experimentation in vivo (2024) · cites this paper as [100]
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“Mouse models of rapid telomere shortening, dysfunctional mitosis or impaired DNA repair (Terc, BubR1, and Ercc1 mutant mice, respectively), display high levels of cellular senescence and accelerated aging86,99,100.”
From Guidelines for minimal information on cellular senescence experimentation in vivo (2024) · cites this paper as [100]
Experimental — accuracy not yet measuredIn the citing paper
“Evidence of waning adaptive immunity is already apparent in mid adulthood, as early as at the age of 50 years, with increasing clinical relevance in the 7th–10th decade of life”
From Successful and Maladaptive T Cell Aging (2017) · cites this paper as Goronzy and Weyand, 2013
In the citing paper
“Mechanistically, immunosenescence is only partially explained by organismal and cellular senescence.”
From Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? A Review of Potential Options for Therapeutic Intervention (2019) · cites this paper as [23]
In the citing paper
“Therefore, these hallmarks of immunosenescence would be markedly affected by the history of the individual exposure to pathogens (6, 23).”
From Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? A Review of Potential Options for Therapeutic Intervention (2019) · cites this paper as [23]
In the citing paper
“The hallmarks of immunosenescence include: (i) a reduced ability to respond to new antigens; (ii) the accumulation of memory T cells; (iii) a lingering level of low-grade inflammation termed “inflamm-aging.””
From Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? A Review of Potential Options for Therapeutic Intervention (2019) · cites this paper as [23]
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“T cell clones specific for HCMV dominate the repertoire in the older people and contribute to the contraction in diversity in the memory compartment (23).”
From Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? A Review of Potential Options for Therapeutic Intervention (2019) · cites this paper as [23]
In the citing paper
“In contrast, high frequencies of antigen-specific T cells reactive to HCMV persist throughout life.”
From Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? A Review of Potential Options for Therapeutic Intervention (2019) · cites this paper as [23]
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Citations
Cites
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
Of Mice and Not Men: Differences between Mouse and Human Immunology
Mestas, J., & Hughes, C. C. W. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.5.2731 · Cited by 3,822
The PD‐1 pathway in tolerance and autoimmunity
Francisco, L. M., Sage, P. T., & Sharpe, A. H. (2010) · Immunological Reviews · doi:10.1111/j.1600-065x.2010.00923.x · Cited by 2,300
Vaccine Adjuvants: Putting Innate Immunity to Work
Coffman, R. L., Sher, A., & Seder, R. A. (2010) · Immunity · doi:10.1016/j.immuni.2010.10.002 · Cited by 1,983
Changes in thymic function with age and during the treatment of HIV infection
Douek, D. C., McFarland, R. D., Keiser, P. H., Gage, E. A., Massey, J. M., Haynes, B. F., Polis, M. A., Haase, A. T., Feinberg, M. B., Sullivan#, J. L., et al. (1998) · Nature · doi:10.1038/25374 · Cited by 1,893
Metabolic Regulation of T Lymphocytes
MacIver, N. J., Michalek, R. D., & Rathmell, J. C. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095956 · Cited by 1,244
Age-related changes in lymphocyte development and function
Linton, P. J., & Dorshkind, K. A. (2004) · Nature Immunology · doi:10.1038/ni1033 · Cited by 1,199
miR-181a Is an Intrinsic Modulator of T Cell Sensitivity and Selection
Li, Q.-J., Chau, J., Ebert, P. J. R., Sylvester, G., Min, H., Liu, G., Braich, R. S., Manoharan, M., Soutschek, J., Skare, P., et al. (2007) · Cell · doi:10.1016/j.cell.2007.03.008 · Cited by 1,165
Redefining Chronic Viral Infection
Virgin, H. W., Wherry, E. J., & Ahmed, R. (2009) · Cell · doi:10.1016/j.cell.2009.06.036 · Cited by 1,031
Human bone marrow hematopoietic stem cells are increased in frequency and myeloid-biased with age
Pang, W. W., Price, E. A., Sahoo, D., Beerman, I., Maloney, W. J., Rossi, D. J., Schrier, S. L., & Weissman, I. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116110108 · Cited by 991
Research works printed but not linked: 1
- Boraschi, D. et al. Ageing and Immunity. Sci. Transl. Med. (in the press).
Cited by
Sorted by citations
A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
The Tabula Muris Consortium, Almanzar, N., Antony, J., Baghel, A. S., Bakerman, I., Bansal, I., Barres, B. A., Beachy, P. A., Berdnik, D., Bilen, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2496-1 · Cited by 1,247
Champiat, S., Dercle, L., Ammari, S., Massard, C., Hollebecque, A., Postel-Vinay, S. C., Chaput, N., Eggermont, A. M. M., Marabelle, A., Soria, J., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-1741 · Cited by 1,204
“This may be explained by a different immunological background in older patients such as modification of T-cell costimulatory/co-inhibitory proteins expression or higher concentrations of inflammatory cytokines (20, 21).”
BackgroundPitt, J. M., Vétizou, M., Daillère, R., Roberti, M. P., Yamazaki, T., Routy, B., Lepage, P., Boneca, I. G., Chamaillard, M., Kroemer, G., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.06.001 · Cited by 1,060
“For example, segmented filamentous bacteria (SFB) are potent inducers of Th17 and Th1 cells in the small intestine (Goto et al., 2014; Ivanov et al., 2009).”
An aged immune system drives senescence and ageing of solid organs
Yousefzadeh, M. J., Flores, R. R., Zhu, Y., Schmiechen, Z. C., Brooks, R. W., Trussoni, C. E., Cui, Y., Angelini, L., Lee, K.-A., McGowan, S. J., et al. (2021) · Nature · doi:10.1038/s41586-021-03547-7 · Cited by 972
Immunosenescence: molecular mechanisms and diseases
Liu, Z., Liang, Q., Ren, Y., Guo, C., Ge, X., Wang, L., Cheng, Q., Luo, P., Zhang, Y., & Han, X. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01451-2 · Cited by 1,082
Metadata
- Authors
- Goronzy, J. J., & Weyand, C. M.
- Affiliations
- Stanford Medicine (US)
- VA Palo Alto Health Care System (US)
- Corresponding author
- Goronzy, Jörg J
- Venue
- Nature Immunology
- Published
- 2013-04-18
- Volume
- 14
- Issue
- 5
- Pages
- 428-436
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC4183346
- OpenAlex
- W1992431343
- Cited by
- 827
- References
- 115
- Citations by year
- 2026: 66 · 2025: 62 · 2024: 89 · 2023: 76 · 2022: 61 · 2021: 83 · 2020: 58 · 2019: 68 · 2018: 46 · 2017: 59 · 2016: 53 · 2015: 53 · 2014: 38 · 2013: 15
- FWCI
- 4.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute (P01HL058000, R01HL117913)
- National Eye Institute (R01EY011916)
- National Institute of Allergy and Infectious Diseases (R01AI044142, U01AI089859, R01AI44142, R01AI108906, U19AI090019, 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 › Immunology and Microbiology › Immunology › Immune responses and vaccinations
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- immunosenescence, immunological aging, older adults, vaccine response, innate immune dysregulation, mouse models of aging
- MeSH terms
- Aged, Aged, 80 and over, Aging, Animals, Communicable Disease Control, Humans, Immunocompetence, Vaccination, Vaccines, Cellular Senescence, Mice, Adaptive Immunity
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