The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
The immune system and aging: a review
Abstract
Abstract The concept of immunosenescence reflects age-related changes in immune responses, both cellular and serological, affecting the process of generating specific responses to foreign and self-antigens. The decline of the immune system with age is reflected in the increased susceptibility to infectious diseases, poorer response to vaccination, increased prevalence of cancer, autoimmune and other chronic diseases. Both innate and adaptive immune responses are affected by the aging process; however, the adaptive response seems to be more affected by the age-related changes in the immune system. Additionally, aged individuals tend to present a chronic low-grade inflammatory state that has been implicated in the pathogenesis of many age-related diseases (atherosclerosis, Alzheimer's disease, osteoporosis and diabetes). However, some individuals arrive to advanced ages without any major health problems, referred to as healthy aging. The immune system dysfunction seems to be somehow mitigated in this population, probably due to genetic and environmental factors yet to be described. In this review, an attempt is made to summarize the current knowledge on how the immune system is affected by the aging process.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“As humans age, the immune system evolves from the immature and developing immune responses in infants and children, through to immune function that is potentially optimal in adolescents and young adults, followed by a gradual decline in immunity (particularly adaptive processes) in older people [1].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [1]
In the citing paper
“Some older people age without any major health problems, known as healthy ageing, and immune system dysfunction appears to be mitigated in this population [1].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [1]
In the citing paper
“Increased levels of circulating pro-inflammatory cytokines (e.g., tumor-necrosis factor alpha, IL-1, and IL-6 [1,25]) characterize low-grade chronic inflammation in older people, a process known as inflamm-aging [1].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [1]
In the citing paper
“In older people, functional activity of immune cells such as phagocytes and the intracellular respiratory burst necessary to kill pathogens are reduced [1].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [1]
In the citing paper
“Many of the most common chronic diseases associated with ageing, such as atherosclerosis, Alzheimer’s disease, osteoporosis and diabetes [1], are related to low-grade inflammation [32].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [1]
In the citing paper
“This is the case in many older people, and these factors may explain why they have a poorer response to vaccines than the young [1,36].”
From Immune function and micronutrient requirements change over the life course (2018) · cites this paper as [1]
Citations
Cites
Inflamm‐aging: An Evolutionary Perspective on Immunosenescence
FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358
C-Reactive Protein, Interleukin 6, and Risk of Developing Type 2 Diabetes Mellitus
Pradhan, A. D. (2001) · JAMA · doi:10.1001/jama.286.3.327 · Cited by 4,433
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
MacLennan, I. C. M. (1994) · Annual Review of Immunology · doi:10.1146/annurev.iy.12.040194.001001 · Cited by 1,795
Neutrophils, from Marrow to Microbes
Borregaard, N. (2010) · Immunity · doi:10.1016/j.immuni.2010.11.011 · Cited by 1,679
Evidence for a mitotic clock in human hematopoietic stem cells: loss of telomeric DNA with age.
Vaziri, H., Dragowska, W., Allsopp, R. C., Thomas, T. E., Harley, C. B., & Lansdorp, P. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.21.9857 · Cited by 1,132
Inflammatory mediators in the elderly
Krabbe, K. S., Pedersen, M., & Bruunsgaard, H. (2004) · Experimental Gerontology · doi:10.1016/j.exger.2004.01.009 · Cited by 928
The aging of the immune system
Weiskopf, D., Weinberger, B., & Grubeck-Loebenstein, B. (2009) · Transplant International · doi:10.1111/j.1432-2277.2009.00927.x · Cited by 908
Regulation of human NK-cell cytokine and chemokine production by target cell recognition
Fauriat, C., Long, E. O., Ljunggren, H., & Bryceson, Y. T. (2009) · Blood · doi:10.1182/blood-2009-08-238469 · Cited by 894
Rubtsov, A. V., Rubtsova, K., Fischer, A., Meehan, R. T., Gillis, J. Z., Kappler, J. W., & Marrack, P. (2011) · Blood · doi:10.1182/blood-2011-01-331462 · Cited by 808
Research works printed but not linked: 6
- Fenske NA, 1988, Am Fam Physician., 37, 219
- Kim SW, 2007, Acta Otolaryngol Suppl, 558, 90
- Facchini A, 1987, Clin Exp Immunol, 68, 340
- Fulop T, 1985, Clin Exp Immunol, 61, 425
- Villanueva JL, 1990, Dis Markers, 8, 85
- Lansdorp PM, 1994, Blood Cells, 20, 376
Cited by
Sorted by citations
Sex differences in immune responses
Klein, S. L., & Flanagan, K. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.90 · Cited by 6,370
Inflammation in CNS neurodegenerative diseases
Stephenson, J., Nutma, E., van der Valk, P., & Amor, S. (2018) · Immunology · doi:10.1111/imm.12922 · Cited by 966
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging · doi:10.18632/aging.101168 · Cited by 801
“The age-related changes in immune functioning and inflammation are believed to contribute to increased susceptibility of a wide range of diseases later in life, including diabetes, some cancers, cardiovascular, neurodegenerative, auto-immune, and infectious diseases [63, 64].”
Impact of Obesity and Metabolic Syndrome on Immunity
Andersen, C. J., Murphy, K. E., & Fernandez, M. L. (2016) · Advances in Nutrition · doi:10.3945/an.115.010207 · Cited by 701
“However, this change adversely affects immunity in older individuals (96, 100).”
BackgroundImmune function and micronutrient requirements change over the life course
Maggini, S., Pierre, A., & Calder, P. C. (2018) · Nutrients · doi:10.3390/nu10101531 · Cited by 710
Metadata
- Authors
- Castelo-Branco, C., & Soveral, I.
- Affiliations
- Faculty of Medicine, Institut Clínic of Gynecology, Obstetrics and Neonatology, University of Barcelona BarcelonaSpain
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- ORCID
- Soveral, Iris
- Venue
- Gynecological Endocrinology
- Publisher
- Informa UK Limited
- Published
- 2013-11-12
- Volume
- 30
- Issue
- 1
- Pages
- 16-22
- ISSN
- 0951-3590 (ISSN-L)
- 1473-0766
- OpenAlex
- W2027663660
- Cited by
- 449
- References
- 97
- Citations by year
- 2026: 16 · 2025: 46 · 2024: 41 · 2023: 50 · 2022: 60 · 2021: 57 · 2020: 36 · 2019: 31 · 2018: 39 · 2017: 26 · 2016: 25 · 2015: 19 · 2014: 3
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gynecological Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- 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 › Immune responses and vaccinations
- Keywords
- immunosenescence, aging, immune system, innate immunity, adaptive immunity, low-grade inflammation, vaccine response, cancer susceptibility, autoimmune disease, healthy aging, age-related diseases
- MeSH terms
- Aging, Animals, Endocrine System, Humans, Immune System, Immunity, Innate, Immunologic Deficiency Syndromes, Inflammation, Autoimmunity, Cellular Senescence, Adaptive Immunity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review