The DOI matches its Crossref record; 121 of the 123 references it cites were found in a registry or an index.
Signaling pathways in aged T cells – A reflection of T cell differentiation, cell senescence and host environment
Open accessAbstract
With increasing age, the ability of the immune system to protect against new antigenic challenges or to control chronic infections erodes. Decline in thymic function and cumulating antigenic experiences of acute and chronic infections threaten T cell homeostasis, but insufficiently explain the failing immune competence and the increased susceptibility for autoimmunity. Alterations in signaling pathways in the aging T cells account for many of the age-related defects. Signaling threshold calibrations seen with aging frequently built on mechanisms that are operational in T cell development and T cell differentiation or are adaptations to the changing environment in the aging host. Age-related changes in transcription of receptors and signaling molecules shift the balance towards inhibitory pathways, most dominantly seen in CD8 T cells and to a lesser degree in CD4 T cells. Prominent examples are the expression of negative regulatory receptors of the CD28 and the TNF receptor superfamilies as well the expression of various cytoplasmic and nuclear dual-specific phosphatases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“These oligoclonal expanded CD8 + memory T cells are further distinguished in humans by loss of expression of the CD28 co-stimulatory molecule (47,48) and impaired immune function.”
From Causes, consequences, and reversal of immune system aging (2013) · cites this paper as [48]
In the citing paper
“Several studies found age-related alterations in T-cell signaling pathways [135], including impairment of PTK phosphorylation, decreased Ca2+ mobilization, and lowered PKC, PI3K and MAPK activation [136].”
From Aging of the immune system: Focus on inflammation and vaccination (2016) · cites this paper as [136]
In the citing paper
“High ROS levels in T cells can inhibit TCR signaling through lowered expression of TCR/CD3, diminished phosphorylation of ZAP70 and altered Ca2+ mobilization [136].”
From Aging of the immune system: Focus on inflammation and vaccination (2016) · cites this paper as [136]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mitochondria, Oxidants, and Aging
Balaban, R. S., Nemoto, S., & Finkel, T. (2005) · Cell · doi:10.1016/j.cell.2005.02.001 · Cited by 4,388
Mortality Associated With Influenza and Respiratory Syncytial Virus in the United States
Thompson, W. W., Shay, D. K., Weintraub, E., Brammer, L., Cox, N., Anderson, L. J., & Fukuda, K. (2003) · JAMA · doi:10.1001/jama.289.2.179 · Cited by 3,673
Microbial translocation is a cause of systemic immune activation in chronic HIV infection
Brenchley, J. M., Price, D. A., Schacker, T. W., Asher, T. E., Silvestri, G., Rao, S., Kazzaz, Z., Bornstein, E., Lambotte, O., Altmann, D., et al. (2006) · Nature Medicine · doi:10.1038/nm1511 · Cited by 3,559
AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity
Cantó, C., Gerhart-Hines, Z., Feige, J. N., Lagouge, M., Noriega, L., Milne, J. C., Elliott, P. J., Puigserver, P., & Auwerx, J. (2009) · Nature · doi:10.1038/nature07813 · Cited by 3,300
Signal transduction by reactive oxygen species
Finkel, T. (2011) · Journal of Cell Biology · doi:10.1083/jcb.201102095 · Cited by 2,322
AMP-activated/SNF1 protein kinases: conserved guardians of cellular energy
Hardie, D. G. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2249 · Cited by 2,261
Molecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S.-J., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.09.006 · Cited by 2,103
Molecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.11.006 · Cited by 1,355
Conserved modes of recruitment of ATM, ATR and DNA-PKcs to sites of DNA damage
Falck, J., Coates, J., & Jackson, S. P. (2005) · Nature · doi:10.1038/nature03442 · Cited by 1,304
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
Flagged first, then by citations
2 of the 123 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
The future of cancer treatment: immunomodulation, CARs and combination immunotherapy
Khalil, D. N., Smith, E. L., Brentjens, R. J., & Wolchok, J. D. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.25 · Cited by 929
Understanding immunosenescence to improve responses to vaccines
Goronzy, J. J., & Weyand, C. M. (2013) · Nature Immunology · doi:10.1038/ni.2588 · Cited by 827
Self-citationT cell responses in patients with COVID-19
Chen, Z., & John Wherry, E. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0402-6 · Cited by 797
Causes, consequences, and reversal of immune system aging
Montecino-Rodriguez, E., Berent-Maoz, B., & Dorshkind, K. (2013) · Journal of Clinical Investigation · doi:10.1172/jci64096 · Cited by 793
Mittelbrunn, M., & Kroemer, G. (2021) · Nature Immunology · doi:10.1038/s41590-021-00927-z · Cited by 702
Metadata
- Authors
- Goronzy, J. J., Li, G., Yu, M., & Weyand, C. M.
- Affiliations
- VA Palo Alto Health Care System (US)
- Corresponding author
- Goronzy, Jörg J.
- Venue
- Seminars in Immunology
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 24
- Issue
- 5
- Pages
- 365-372
- ISSN
- 1044-5323 (ISSN-L)
- PMC
- PMC3435478
- OpenAlex
- W2028580603
- Cited by
- 134
- References
- 123
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 8 · 2023: 10 · 2022: 8 · 2021: 14 · 2020: 12 · 2019: 13 · 2018: 6 · 2017: 7 · 2016: 11 · 2015: 11 · 2014: 9 · 2013: 13 · 2012: 3
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Seminars in 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, R01 EY 11916)
- National Institute of Allergy and Infectious Diseases (R01AI044142, U19-AI57266, R01AI44142, U19AI090019, U19AI057266)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR042527, R01AR42527)
- 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 Response and Inflammation
- Keywords
- T cell senescence, signaling pathways, T cell differentiation, T cell homeostasis, CD8+ T cells, CD4+ T cells, CD28, TNF receptor superfamily, immunosenescence, autoimmunity, chronic infection, thymic function
- MeSH terms
- Aging, Animals, Cell Differentiation, Humans, Receptors, Antigen, T-Cell, T-Lymphocytes, Signal Transduction, Cellular Senescence
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