The DOI matches its Crossref record; 224 of the 224 references it cites were found in a registry or an index.
Ageing and the telomere connection: An intimate relationship with inflammation
Open accessAbstract
Telomeres are the heterochromatic repeat regions at the ends of eukaryotic chromosomes, whose length is considered to be a determinant of biological ageing. Normal ageing itself is associated with telomere shortening. Here, critically short telomeres trigger senescence and eventually cell death. This shortening rate may be further increased by inflammation and oxidative stress and thus affect the ageing process. Apart from shortened or dysfunctional telomeres, cells undergoing senescence are also associated with hyperactivity of the transcription factor NF-κB and overexpression of inflammatory cytokines such as TNF-α, IL-6, and IFN-γ in circulating macrophages. Interestingly, telomerase, a reverse transcriptase that elongates telomeres, is involved in modulating NF-κB activity. Furthermore, inflammation and oxidative stress are implicated as pre-disease mechanisms for chronic diseases of ageing such as neurodegenerative diseases, cardiovascular disease, and cancer. To date, inflammation and telomere shortening have mostly been studied individually in terms of ageing and the associated disease phenotype. However, the interdependent nature of the two demands a more synergistic approach in understanding the ageing process itself and for developing new therapeutic approaches. In this review, we aim to summarize the intricate association between the various inflammatory molecules and telomeres that together contribute to the ageing process and related diseases.
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1 retracted
Akiyama, M., Hideshima, T., Hayashi, T., Tai, Y., Mitsiades, C. S., Mitsiades, N., Chauhan, D., Richardson, P. G. G., Munshi, N. C., & Anderson, K. C. (2003) · PubMed · Cited by 212
RetractedLópez-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
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
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
Telomeres shorten during ageing of human fibroblasts
Harley, C. B., Futcher, A. B., & Greider, C. W. (1990) · Nature · doi:10.1038/345458a0 · Cited by 5,750
A role for mitochondria in nlrp3 inflammasome activation
Zhou, R., Yazdi, A. S., Menu, P., & Tschopp, J. (2011) · Nature · doi:10.1038/nature09663 · Cited by 5,602
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
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
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
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
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Self-citationThe Role of Inflammation in CKD
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Metadata
- Authors
- Zhang, J., Rane, G., Dai, X., Shanmugam, M. K., Arfuso, F., Samy, R. P., Lai, M. K. P., Kappei, D., Kumar, A. P., & Sethi, G.
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 25
- Pages
- 55-69
- ISSN
- 1568-1637 (ISSN-L)
- OpenAlex
- W2177939130
- Cited by
- 386
- References
- 224
- FWCI
- 3.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, J., Rane, G., Dai, X., Shanmugam, M. K., Arfuso, F., Samy, R. P., Lai, M. K. P., Kappei, D., Kumar, A. P., & Sethi, G. (2016). Ageing and the telomere connection: An intimate relationship with inflammation. Ageing Research Reviews. https://doi.org/10.1016/j.arr.2015.11.006
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