The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.
Metabolic changes in aging humans: current evidence and therapeutic strategies
Open accessAbstract
Aging and metabolism are inextricably linked, and many age-related changes in body composition, including increased central adiposity and sarcopenia, have underpinnings in fundamental aging processes. These age-related changes are further exacerbated by a sedentary lifestyle and can be in part prevented by maintenance of activity with aging. Here we explore the age-related changes seen in individual metabolic tissues - adipose, muscle, and liver - as well as globally in older adults. We also discuss the available evidence for therapeutic interventions such as caloric restriction, resistance training, and senolytic and senomorphic drugs to maintain healthy metabolism with aging, focusing on data from human studies.
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Cites
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
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
Goodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083 · cited 1×
“5%–4% per year) is substantially greater than the loss of muscle (1% per year), implying that reduced muscle function plays an important role in the loss of strength (75) with age.”
BackgroundKim, H. J., Park, S. Y., Choi, Y. J., Han, S. J., Lee, K. W., & Kim, D. J. (2013) · Hormone Research in Paediatrics · doi:10.1159/000348848 · Cited by 3,048
Geroscience: Linking Aging to Chronic Disease
Kennedy, B. K., Berger, S. L., Brunet, A., Campisi, J., Cuervo, A. M., Epel, E. S., Franceschi, C., Lithgow, G. J., Morimoto, R. I., Pessin, J. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.039 · Cited by 2,764
Longitudinal Effects of Aging on Serum Total and Free Testosterone Levels in Healthy Men
Harman, S. M., Metter, E. J., Tobin, J. D., Pearson, J., & Blackman, M. R. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.2.7219 · Cited by 2,760
What is the cause of the ageing atrophy?
Lexell, J., Taylor, C. C., & Sjöström, M. (1988) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(88)90132-3 · Cited by 2,075
Hickson, L. J., Langhi Prata, L. G. P., Bobart, S. A., Evans, T. K., Giorgadze, N., Hashmi, S. K., Herrmann, S. M., Jensen, M. D., Jia, Q., Jordan, K. L., et al. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.08.069 · Cited by 1,383 · cited 1×
“A recent study in humans with diabetic kidney disease demonstrated the ability of senescent cell–targeting, or senolytic, drugs to remove senescent cells from human adipose tissue (120).”
BackgroundSelf-citationDecline in skeletal muscle mitochondrial function with aging in humans
Short, K. R., Bigelow, M. L., Kahl, J., Singh, R., Coenen-Schimke, J., Raghavakaimal, S., & Nair, K. S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501559102 · Cited by 1,333
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
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Cited by
Best, L., Dost, T., Esser, D., Flor, S., Gamarra, A. M., Haase, M., Kadibalban, A. S., Marinos, G., Walker, A., Zimmermann, J., et al. (2025) · Nature Microbiology · doi:10.1038/s41564-025-01959-z · Cited by 65
Wang, Z., Mei, H., Song, B., & Shi, Z. (2025) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2025.110638 · Cited by 6
Metadata
- Authors
- Palmer, A. K., & Jensen, M. D.
- Venue
- Journal of Clinical Investigation
- Published
- 2022-08-15
- Volume
- 132
- Issue
- 16
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- OpenAlex
- W4291332516
- Cited by
- 331
- References
- 122
- FWCI
- 29.13
- Type
- journal article
- Language
- en
- Open access
- gold
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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.