The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Aging-related inflammation in osteoarthritis
Open accessAbstract
Summary It is well accepted that aging is an important contributing factor to the development of osteoarthritis (OA). The mechanisms responsible appear to be multifactorial and may include an age-related pro-inflammatory state that has been termed “inflamm-aging.” Age-related inflammation can be both systemic and local. Systemic inflammation can be promoted by aging changes in adipose tissue that result in increased production of cytokines such as interleukin (IL)-6 and TNFα. Numerous studies have shown an age-related increase in blood levels of IL-6 that has been associated with decreased physical function and frailty. Importantly, higher levels of IL-6 have been associated with an increased risk of knee OA progression. However, knockout of IL-6 in male mice resulted in worse age-related OA rather than less OA. Joint tissue cells, including chondrocytes and meniscal cells, as well as the neighboring infrapatellar fat in the knee joint, can be a local source of inflammatory mediators that increase with age and contribute to OA. An increased production of pro-inflammatory mediators that include cytokines and chemokines, as well as matrix degrading enzymes important in joint tissue destruction, can be the result of cell senescence and the development of the senescence-associated secretory phenotype. Further studies are needed to better understand the basis for inflamm-aging and its role in OA with the hope that this work will lead to new interventions targeting inflammation to reduce not only joint tissue destruction but also pain and disability in older adults with OA.
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López-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
The limited in vitro lifetime of human diploid cell strains
Hayflick, L. (1965) · Experimental Cell Research · doi:10.1016/0014-4827(65)90211-9 · Cited by 5,876
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
Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders
Baker, D. J., Wijshake, T., Tchkonia, T., LeBrasseur, N. K., Childs, B. G., van de Sluis, B., Kirkland, J. L., & van Deursen, J. M. (2011) · Nature · doi:10.1038/nature10600 · Cited by 3,670
Osteoarthritis: A disease of the joint as an organ
Loeser, R. F., Goldring, S. R., Scanzello, C. R., & Goldring, M. B. (2012) · Arthritis & Rheumatism · doi:10.1002/art.34453 · Cited by 3,076
Self-citationSenescent cells, tumor suppression, and organismal aging: good citizens, bad neighbors
Campisi, J. (2005) · Cell · doi:10.1016/j.cell.2005.02.003 · Cited by 2,379
Four faces of cellular senescence
Rodier, F., & Campisi, J. (2011) · Journal of Cell Biology · doi:10.1083/jcb.201009094 · Cited by 2,070
Longitudinal study of muscle strength, quality, and adipose tissue infiltration
Delmonico, M. J., Harris, T. B., Visser, M., Park, S. W., Conroy, M. B., Velasquez-Mieyer, P., Boudreau, R., Manini, T. M., Nevitt, M., Newman, A. B., et al. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28047 · Cited by 1,446
Inflammatory networks during cellular senescence: causes and consequences.
Freund, A., Orjalo, A. V., Desprez, P.-Y., & Campisi, J. (2010) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2010.03.003 · Cited by 1,354
Fat tissue, aging, and cellular senescence
Tchkonia, T., Morbeck, D. E., Von Zglinicki, T., Van Deursen, J., Lustgarten, J., Scrable, H., Khosla, S., Jensen, M. D., & Kirkland, J. L. (2010) · Aging Cell · doi:10.1111/j.1474-9726.2010.00608.x · Cited by 1,094
Cited by
Osteoarthritis: pathogenic signaling pathways and therapeutic targets
Yao, Q., Wu, X., Tao, C., Gong, W., Chen, M., Qu, M., Zhong, Y., He, T., Chen, S., & Xiao, G. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01330-w · Cited by 1,194
How the ageing microenvironment influences tumour progression
Fane, M., & Weeraratna, A. T. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-019-0222-9 · Cited by 849
Lespasio, M. J., Piuzzi, N. S., Husni, M. E., Muschler, G. F., Guarino, A., & Mont, M. A. (2017) · The Permanente Journal · doi:10.7812/tpp/16-183 · Cited by 528
The integration of inflammaging in age-related diseases
Fulop, T., Witkowski, J. M., Olivieri, F., & Larbi, A. (2018) · Seminars in Immunology · doi:10.1016/j.smim.2018.09.003 · Cited by 348
Plasma proteomics identifies CRTAC1 as a biomarker for osteoarthritis severity and progression
Szilagyi, I. A., Vallerga, C. L., Boer, C. G., Schiphof, D., Ikram, M. A., Bierma-Zeinstra, S. M. A., & van Meurs, J. B. J. (2023) · Rheumatology · doi:10.1093/rheumatology/keac415 · Cited by 51
Metadata
- Authors
- Greene, M. A., & Loeser, R. F.
- Venue
- Osteoarthritis and Cartilage
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 23
- Issue
- 11
- Pages
- 1966-1971
- ISSN
- 1063-4584 (ISSN-L)
- OpenAlex
- W1935296231
- Cited by
- 485
- References
- 64
- FWCI
- 22.12
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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