The DOI matches its Crossref record; 241 of the 241 references it cites were found in a registry or an index.
Immunosenescence: molecular mechanisms and diseases
Open accessAbstract
Infection susceptibility, poor vaccination efficacy, age-related disease onset, and neoplasms are linked to innate and adaptive immune dysfunction that accompanies aging (known as immunosenescence). During aging, organisms tend to develop a characteristic inflammatory state that expresses high levels of pro-inflammatory markers, termed inflammaging. This chronic inflammation is a typical phenomenon linked to immunosenescence and it is considered the major risk factor for age-related diseases. Thymic involution, naïve/memory cell ratio imbalance, dysregulated metabolism, and epigenetic alterations are striking features of immunosenescence. Disturbed T-cell pools and chronic antigen stimulation mediate premature senescence of immune cells, and senescent immune cells develop a proinflammatory senescence-associated secretory phenotype that exacerbates inflammaging. Although the underlying molecular mechanisms remain to be addressed, it is well documented that senescent T cells and inflammaging might be major driving forces in immunosenescence. Potential counteractive measures will be discussed, including intervention of cellular senescence and metabolic-epigenetic axes to mitigate immunosenescence. In recent years, immunosenescence has attracted increasing attention for its role in tumor development. As a result of the limited participation of elderly patients, the impact of immunosenescence on cancer immunotherapy is unclear. Despite some surprising results from clinical trials and drugs, it is necessary to investigate the role of immunosenescence in cancer and other age-related diseases.
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.
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
Oxidants, oxidative stress and the biology of ageing
Finkel, T., & Holbrook, N. J. (2000) · Nature · doi:10.1038/35041687 · Cited by 9,413
The serial cultivation of human diploid cell strains
Hayflick, L., & Moorhead, P. S. (1961) · Experimental Cell Research · doi:10.1016/0014-4827(61)90192-6 · Cited by 8,508
A biomarker that identifies senescent human cells in culture and in aging skin in vivo.
Dimri, G. P., Lee, X., Basile, G., Acosta, M., Scott, G., Roskelley, C., Medrano, E. E., Linskens, M., Rubelj, I., & Pereira-Smith, O. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.20.9363 · Cited by 7,477
Jemal, A., Siegel, R., Ward, E., Murray, T., Xu, J., & Thun, M. J. (2007) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.57.1.43 · Cited by 7,439
The chemokine system in diverse forms of macrophage activation and polarization
MANTOVANI, A., SICA, A., SOZZANI, S., ALLAVENA, P., VECCHI, A., & LOCATI, M. (2004) · Trends in Immunology · doi:10.1016/j.it.2004.09.015 · Cited by 6,534
Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
Sallusto, F., Lenig, D., Förster, R., Lipp, M., & Lanzavecchia, A. (1999) · Nature · doi:10.1038/44385 · Cited by 5,846 · cited 1×
“These CD28 T-cell subsets may contribute to inflammaging and further aggravate the disease severity of RA upon stimulation by increasing the production of inflammatory factors.(176,177) Favorable clinical responses were identified using specific treatments significantly reducing CD8 CD28 T cells in RA patients.”
BackgroundInflamm‐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
Cellular senescence: when bad things happen to good cells
Campisi, J., & d'Adda di Fagagna, F. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2233 · Cited by 4,441
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty
Ferrucci, L., & Fabbri, E. (2018) · Nature Reviews Cardiology · doi:10.1038/s41569-018-0064-2 · Cited by 3,690
Cited by
The Impact of Immune System Aging on Infectious Diseases
Quiros-Roldan, E., Sottini, A., Natali, P. G., & Imberti, L. (2024) · Microorganisms · doi:10.3390/microorganisms12040775 · Cited by 133
“More generally, immunosenescence refers to a series of complex changes leading to altered innate and adaptive immune system functions which, overall, may result in a state of immunodeficiency [15].”
Jang, D., Shin, J., Shim, E., Ohtani, N., & Jeon, O. H. (2024) · Aging Cell · doi:10.1111/acel.14315 · Cited by 84
Targeting aging and age-related diseases with vaccines
Wu, R., Sun, F., Zhang, W., Ren, J., & Liu, G.-H. (2024) · Nature Aging · doi:10.1038/s43587-024-00597-0 · Cited by 66
Theodorakis, N., Feretzakis, G., Tzelves, L., Paxinou, E., Hitas, C., Vamvakou, G., Verykios, V. S., & Nikolaou, M. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14090931 · Cited by 51
Fuentealba, M., Rouch, L., Guyonnet, S., Lemaitre, J.-M., de Souto Barreto, P., Vellas, B., Andrieu, S., & Furman, D. (2025) · Nature Aging · doi:10.1038/s43587-025-00883-5 · Cited by 51
Metadata
- Authors
- Liu, Z., Liang, Q., Ren, Y., Guo, C., Ge, X., Wang, L., Cheng, Q., Luo, P., Zhang, Y., & Han, X.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2023-05-13
- Volume
- 8
- Issue
- 1
- Pages
- 200-200
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4376631082
- Cited by
- 960
- References
- 241
- FWCI
- 138.87
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Immunosenescence: molecular mechanisms and diseases. https://app.cochat.ai/papers/10.1038/s41392-023-01451-2
- The paper
- Liu, Z., Liang, Q., Ren, Y., Guo, C., Ge, X., Wang, L., Cheng, Q., Luo, P., Zhang, Y., & Han, X. (2023). Immunosenescence: molecular mechanisms and diseases. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-023-01451-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.