The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Inflammation and sarcopenia: A focus on circulating inflammatory cytokines
Abstract
Sarcopenia is an aged-related syndrome that is progressive and can be accelerated by other concomitant disease states. Sarcopenia, characterized by loss of skeletal muscle mass, reduced muscle strength, and/or reduced physical performance, is one of the main reasons for limitation of daily activities in the elderly. It is associated with an increased incidence of many adverse events, such as dysfunction, falls, weakness, hospitalization, disability and even death. Sarcopenia justifies one of the most widely accepted theories that low-grade chronic inflammation associated with aging, known as inflammatory aging, is important to the pathogenesis of many age-related diseases. Currently, the diagnosis of sarcopenia is based on a comprehensive assessment of three aspects: muscle mass, muscle strength and physical performance. The measurement of muscle mass is complicated, as the measurement of muscle strength and gait speed is easily affected by the physical conditions of the subjects. This makes the measurements inaccurate and prospective, and it is difficult to achieve continuous, purposeful monitoring. In addition, serum levels of inflammatory cytokines change as inflammatory states develop in the elderly population. This manuscript focuses on the correlation between serum inflammatory cytokines and sarcopenia in recent years, plus the possible underlying mechanisms.
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Cites
Sarcopenia: revised European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., et al. (2019) · Age and Ageing · doi:10.1093/ageing/afy169 · Cited by 13,818
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Acute-Phase Proteins and Other Systemic Responses to Inflammation
Gabay, C., & Kushner, I. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400607 · Cited by 6,734
Origin and physiological roles of inflammation
Medzhitov, R. (2008) · Nature · doi:10.1038/nature07201 · Cited by 6,618
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 Nuclear Factor NF- B Pathway in Inflammation
Lawrence, T. (2009) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a001651 · Cited by 4,898
Sarcopenia in Asia: Consensus Report of the Asian Working Group for Sarcopenia
Chen, L.-K., Liu, L.-K., Woo, J., Assantachai, P., Auyeung, T.-W., Bahyah, K. S., Chou, M.-Y., Chen, L.-Y., Hsu, P.-S., Krairit, O., et al. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2013.11.025 · Cited by 4,051
Cruz-Jentoft, A. J., & Sayer, A. A. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31138-9 · Cited by 3,905
Sarcopenia: revised European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., et al. (2019) · Age and Ageing · doi:10.1093/ageing/afz046 · Cited by 3,803
Cited by
Khalafi, M., Akbari, A., Symonds, M. E., Pourvaghar, M. J., Rosenkranz, S. K., & Tabari, E. (2023) · Cytokine · doi:10.1016/j.cyto.2023.156303 · Cited by 69
From mitochondria to sarcopenia: role of 17β-estradiol and testosterone
Tian, X., Lou, S., & Shi, R. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1156583 · Cited by 54
“cellular and functional deterioration is a multifactorial etiology, in which hormonal alterations (9), neuromuscular junction degeneration (10), muscle fat infiltration (11), oxidative stress (12), chronic inflammation (13), and mitochondrial dysfunction (14) are the crucial factors accountable for this pathology.”
BackgroundSarcopenia and cachexia: molecular mechanisms and therapeutic interventions
Wang, T., Zhou, D., & Hong, Z. (2025) · MedComm · doi:10.1002/mco2.70030 · Cited by 46
The Role of Exercise in Cancer-Related Sarcopenia and Sarcopenic Obesity
Papadopetraki, A., Giannopoulos, A., Maridaki, M., Zagouri, F., Droufakou, S., Koutsilieris, M., & Philippou, A. (2023) · Cancers · doi:10.3390/cancers15245856 · Cited by 34
Training modalities for elder sarcopenic obesity: a systematic review and network meta-analysis
Qiu, H., Zheng, W., Zhou, X., Liu, Q., & Zhao, X. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1537291 · Cited by 17
Metadata
- Authors
- Pan, L., Xie, W., Fu, X., Lu, W., Jin, H., Lai, J., Zhang, A., Yu, Y., Li, Y., & Xiao, W.
- Venue
- Experimental Gerontology
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 154
- Pages
- 111544
- ISSN
- 0531-5565 (ISSN-L)
- OpenAlex
- W3198540629
- Cited by
- 298
- References
- 106
- FWCI
- 20.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pan, L., Xie, W., Fu, X., Lu, W., Jin, H., Lai, J., Zhang, A., Yu, Y., Li, Y., & Xiao, W. (2021). Inflammation and sarcopenia: A focus on circulating inflammatory cytokines. Experimental Gerontology. https://doi.org/10.1016/j.exger.2021.111544
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