Recent results: Biomarkers of aging
Abstract
This communication reviews recent papers attempting to identify Biomarkers of Aging (BoA). A BoA is a biological parameter that will predict functional capability at some later age. Few, if any, BoA have been found and this review describes the recent search for BoA. Among others that have been put forward are IL6 and other markers of inflammation, allostatic load, and corticosterone, which have been described primarily in humans. Work in model systems as well as theoretical work are also reviewed.
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Elevated IL-6 is a stable indicator of poor COVID-19 outcomes and is among the most reliable ageing parameters.
“elevated IL-6 has been an especially stable indicator of poor outcomes in patients with COVID-19, and studies have demonstrated that IL-6 is also among the most reliable ageing parameters69.”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [69]
Cites
Inflammatory markers and loss of muscle mass (sarcopenia) and strength
Schaap, L. A., Pluijm, S. M. F., Deeg, D. J. H., & Visser, M. (2006) · The American Journal of Medicine · doi:10.1016/j.amjmed.2005.10.049 · Cited by 1,047 · see citing works
A new approach to the concept and computation of biological age.
Klemera, P., & Ďoubal, S. (2006) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2005.10.004 · Cited by 727 · see citing works
Interleukin-6 in Aging and Chronic Disease: A Magnificent Pathway
Maggio, M. G., Guralnik, J. M., Longo, D. L., & Ferrucci, L. (2006) · The Journals of Gerontology Series A · doi:10.1093/gerona/61.6.575 · Cited by 687 · see citing works
The quest for genetic determinants of human longevity: challenges and insights
Christensen, K., Johnson, T. E., & Vaupel, J. W. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1871 · Cited by 489 · see citing works
Self-citationA stress-sensitive reporter predicts longevity in isogenic populations of Caenorhabditis elegans
Rea, S. L., Wu, D., Cypser, J. R., Vaupel, J. W., & Johnson, T. E. (2005) · Nature Genetics · doi:10.1038/ng1608 · Cited by 411 · see citing works
Self-citationBaker, G. T., & Sprott, R. L. (1988) · Experimental Gerontology · doi:10.1016/0531-5565(88)90025-3 · Cited by 341 · see citing works
Gerstbrein, B., Stamatas, G., Kollias, N., & Driscoll, M. (2005) · Aging Cell · doi:10.1111/j.1474-9726.2005.00153.x · Cited by 286 · see citing works
Karlamangla, A. S., Singer, B. H., & Seeman, T. E. (2006) · Psychosomatic Medicine · doi:10.1097/01.psy.0000221270.93985.82 · Cited by 283 · see citing works
Sprott, R. L. (1988) · Experimental Gerontology · doi:10.1016/0531-5565(88)90014-9 · Cited by 274 · see citing works
Fluoroquinolone-Resistant Pseudomonas aeruginosa: Assessment of Risk Factors and Clinical Impact
Gasink, L. B., Fishman, N. O., Weiner, M. G., Nachamkin, I., Bilker, W. B., & Lautenbach, E. (2006) · The American Journal of Medicine · doi:10.1016/j.amjmed.2005.11.029 · Cited by 206 · see citing works
Lifelong corticosterone level determines age-related decline in neurogenesis and memory
Montaron, M., Drapeau, E., Dupret, D., Kitchener, P., Aurousseau, C., Moal, M. L., Piazza, P. V., & Abrous, D. N. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.02.014 · Cited by 203 · see citing works
The relationship between testosterone and molecular markers of inflammation in older men.
Maggio, M. C., Basaria, S. S., Ceda, G. P., Blè, A., Ling, S. M., Bandinelli, S., Valenti, G., & Ferrucci, L. (2005) · PubMed · Cited by 169 · see citing works
Telomere attrition as ageing biomarker.
Bekaert, S., Meyer, T. D., & Oostveldt, P. V. (2005) · PubMed · Cited by 158 · see citing works
Johnson, T. E., Lithgow, G. J., & Murakami, S. (1996) · The Journals of Gerontology Series A · doi:10.1093/gerona/51a.6.b392 · Cited by 130 · see citing works
Self-citationWiltfang, J., Lewczuk, P., Riederer, P. F., Grünblatt, E., Hock, C., Scheltens, P., Hampel, H. J., Vanderstichele, H., Iqbal, K., Galasko, D. R., et al. (2005) · The World Journal of Biological Psychiatry · doi:10.1080/15622970510029786 · Cited by 116 · see citing works
Do biomarkers of stress mediate the relation between socioeconomic status and health?
Dowd, J. B., & Goldman, N. (2006) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2005.040816 · Cited by 112 · see citing works
Eshaghian, A., Vleugels, R. A., Canter, J. A., Mcdonald, M., Stasko, T., & Sligh, J. E. (2005) · Journal of Investigative Dermatology · doi:10.1038/sj.jid.5700088 · Cited by 107 · see citing works
Markers of Inflammation, Vascular Endothelial Dysfunction, and Age-related Cataract
Klein, R., Klein, R., Lee, K. E., et al. (2005) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2005.08.021 · Cited by 99 · see citing works
Hu, P., Bretsky, P., Crimmins, E. M., Guralnik, J. M., Reuben, D. B., & Seeman, T. E. (2006) · The Journals of Gerontology Series A · doi:10.1093/gerona/61.6.616 · Cited by 60 · see citing works
Spinney, L. (2006) · Nature · doi:10.1038/442736a · Cited by 22 · see citing works
Molecular Determinants of Human Longevity
Panza, F., D’Introno, A., Colacicco, A. M., Capurso, C. A., Palasciano, R., Capurso, S. A., Gadaleta, A., Capurso, A., Kehoe, P. G., & Solfrizzi, V. (2005) · Advances in clinical chemistry · doi:10.1016/s0065-2423(04)39007-4 · Cited by 2 · see citing works
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Facing up to the global challenges of ageing
Partridge, L., Deelen, J., & Slagboom, P. E. (2018) · Nature · doi:10.1038/s41586-018-0457-8 · Cited by 1,475 · see citing works
Jylhävä, J., Pedersen, N. L., & Hägg, S. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.03.046 · Cited by 1,240 · see citing works
Aging, adiposity, and calorie restriction
Fontana, L. (2007) · JAMA · doi:10.1001/jama.297.9.986 · Cited by 526 · see citing works
Zhang, Q., Vallerga, C. L., Walker, R. M., Lin, T., Henders, A. K., Montgomery, G. W., He, J., Fan, D., Fowdar, J., Kennedy, M., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0667-1 · Cited by 487 · see citing works
Vaiserman, A., & Krasnienkov, D. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.630186 · Cited by 454 · see citing works
SARS-CoV-2, COVID-19 and the aging immune system
Bartleson, J. M., Radenkovic, D., Covarrubias, A. J., Furman, D., Winer, D. A., & Verdin, E. (2021) · Nature Aging · doi:10.1038/s43587-021-00114-7 · Cited by 359 · see citing works
Metabolomic markers reveal novel pathways of ageing and early development in human populations
Menni, C., Kastenmüller, G., Petersen, A. K., Bell, J. T., Psatha, M., Tsai, P.-C., Gieger, C., Schulz, H., Erte, I., John, S., et al. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt094 · Cited by 282 · see citing works
Prins, B. P., Abbasi, A., Wong, A., Vaez, A., Nolte, I., Franceschini, N., Stuart, P. E., Guterriez Achury, J., Mistry, V., Bradfield, J. P., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1001976 · Cited by 199 · see citing works
Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
Galkin, F., Mamoshina, P., Aliper, A., de Magalhães, J. P., Gladyshev, V. N., & Zhavoronkov, A. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101050 · Cited by 189 · see citing works
Measuring Biological Age via Metabonomics: The Metabolic Age Score
Hertel, J., Friedrich, N., Wittfeld, K., Pietzner, M., Budde, K., Van der Auwera, S., Lohmann, T., Teumer, A., Völzke, H., Nauck, M., et al. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00561 · Cited by 181 · see citing works
Teyssier, J.-R., Chauvet-Gelinier, J.-C., Ragot, S., & Bonin, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049677 · Cited by 73 · see citing works
- Authors
- Johnson, T. E.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Johnson, Thomas E.
- ORCID
- Johnson, Thomas E.
- Venue
- Experimental Gerontology
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 41
- Issue
- 12
- Pages
- 1243-1246
- ISSN
- 0531-5565 (ISSN-L)
- OpenAlex
- W2134041267
- Cited by
- 257
- References
- 21
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 12 · 2023: 15 · 2022: 17 · 2021: 22 · 2020: 15 · 2019: 14 · 2018: 12 · 2017: 11 · 2016: 11 · 2015: 18 · 2014: 9 · 2013: 11 · 2012: 16
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Experimental Gerontology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- aging biomarkers, aging, functional capacity, interleukin-6, inflammation, allostatic load, corticosterone, model organisms
- MeSH terms
- Aged, Aging, Animals, Cognition Disorders, DNA, Mitochondrial, Humans, Socioeconomic Factors, Biomarkers, Interleukin-6, Cytokines, Telomere, Caenorhabditis elegans, Risk Assessment, Models, Animal
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