Time and the Metrics of Aging
Open accessAbstract
The study of aging relates to changes in physical and functional dimensions that occur over time in living organisms. Yet, a model that establishes the hierarchical relationship and interlaced time courses of molecular, phenotypic, and functional hierarchical domains of aging in humans has not been established. We propose that studying the mechanisms and consequences of aging through the lens of these hierarchical domains and their connections will provide clarity in semantics and enhance a translational perspective. The study of human aging would be most informative from a life course, longitudinal perspective, given that manifestations of aging are already detectable early in life at the molecular level, yet the phenotypic responses remain masked by compensatory/resiliency mechanisms. Understanding the nature of these mechanisms is paramount for developing interventions that reduce the burden of disease and disability in older persons.
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Aging is characterized by accumulation of damage to macromolecules and cell architecture that triggers a proinflammatory state in blood and solid tissues, termed inflammaging.
“Aging is characterized by the accumulation of damage to macromolecules and cell architecture that triggers a proinflammatory state in blood and solid tissues, termed inflammaging.”
From Connecting aging biology and inflammation in the omics era (2022) · cites this paper as [2]
With aging, resilience mechanisms become less effective at repairing or removing damage and preventing its deleterious effects on health.
“With aging, resilience mechanisms become less effective at repairing or removing damage and preventing its deleterious effects on health (2).”
From Connecting aging biology and inflammation in the omics era (2022) · cites this paper as [2]
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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 · see citing works
Clegg, A., Young, J., Iliffe, S., Rikkert, M. O., & Rockwood, K. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62167-9 · Cited by 9,503 · see citing works
An epigenetic biomarker of aging for lifespan and healthspan
Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., et al. (2018) · Aging · doi:10.18632/aging.101414 · Cited by 3,675 · see citing works
Self-citationDNA methylation-based biomarkers and the epigenetic clock theory of ageing
Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095 · see citing works
Senescence in Health and Disease
He, S., & Sharpless, N. E. (2017) · Cell · doi:10.1016/j.cell.2017.05.015 · Cited by 1,766 · see citing works
Autophagy and mitophagy in cardiovascular disease
Bravo-San Pedro, J. M., Kroemer, G., & Galluzzi, L. (2017) · Circulation Research · doi:10.1161/circresaha.117.311082 · Cited by 843 · cited 1× · see citing works
“tophagy or mitophagy cause cardiovascular disorders, including cardiac myopathy and heart failure.(8) Evidence of”
BackgroundClonal Hematopoiesis and Evolution to Hematopoietic Malignancies
Bowman, R. L., Busque, L., & Levine, R. L. (2018) · Cell stem cell · doi:10.1016/j.stem.2018.01.011 · Cited by 448 · see citing works
Aging, inflammation and the environment
Bektas, A., Schurman, S. H., Sen, R., & Ferrucci, L. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.12.015 · Cited by 431 · see citing works
Self-citationVentricular Arterial Stiffening
Kass, D. A. (2005) · Hypertension · doi:10.1161/01.hyp.0000168053.34306.d4 · Cited by 335 · see citing works
Lower Extremity Manifestations of Peripheral Artery Disease
McDermott, M. M. (2015) · Circulation Research · doi:10.1161/circresaha.114.303517 · Cited by 257 · see citing works
Senescent cells: a therapeutic target for cardiovascular disease
Childs, B. G., Li, H., & van Deursen, J. M. (2018) · Journal of Clinical Investigation · doi:10.1172/jci95146 · Cited by 192 · see citing works
Justice, J. N., Gregory, H., Tchkonia, T., LeBrasseur, N. K., Kirkland, J. L., Kritchevsky, S. B., & Nicklas, B. J. (2018) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glx134 · Cited by 129 · see citing works
Age-associated changes in human hematopoietic stem cells
Pang, W. W., Schrier, S. L., & Weissman, I. L. (2016) · Seminars in Hematology · doi:10.1053/j.seminhematol.2016.10.004 · Cited by 123 · see citing works
Autophagy and the immune function in aging
Cuervo, A. M., & Macian, F. (2014) · Current Opinion in Immunology · doi:10.1016/j.coi.2014.05.006 · Cited by 112 · see citing works
Questioning causal involvement of telomeres in aging
Simons, M. J. P. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.002 · Cited by 108 · see citing works
Fabbri, E., Chia, C. W., Spencer, R. G., Fishbein, K. W., Reiter, D. A., Cameron, D., Zane, A. C., Moore, Z. A., Gonzalez-Freire, M., Zoli, M., et al. (2017) · Diabetes · doi:10.2337/db16-0754 · Cited by 76 · see citing works
Self-citationActivation-Induced Autophagy Is Preserved in CD4+ T-Cells in Familial Longevity
Raz, Y., Guerrero‐Ros, I., Maier, A. B., Slagboom, P. E., Atzmon, G., Barzilai, N., & Macián, F. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx020 · Cited by 63 · see citing works
Accelerating aging research: How can we measure the rate of biologic aging?
Margolick, J. B., & Ferrucci, L. (2015) · Experimental Gerontology · doi:10.1016/j.exger.2015.02.009 · Cited by 58 · see citing works
Self-citationLustig, A., Liu, H. B., Metter, E. J., An, Y., Swaby, M. A., Elango, P., Ferrucci, L., Hodes, R. J., & Weng, N. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01027 · Cited by 57 · see citing works
Self-citationSearching for a mitochondrial root to the decline in muscle function with ageing
Gonzalez‐Freire, M., Adelnia, F., Moaddel, R., & Ferrucci, L. (2018) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12313 · Cited by 48 · see citing works
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Frailty: implications for clinical practice and public health
Hoogendijk, E. O., Afilalo, J., Ensrud, K. E., Kowal, P. R., Onder, G., & Fried, L. P. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31786-6 · Cited by 3,369 · see citing works
Measuring biological aging in humans: a quest
Ferrucci, L., Gonzalez‐Freire, M., Fabbri, E., Simonsick, E., Tanaka, T., Moore, Z., Salimi, S., Sierra, F., & de Cabo, R. (2020) · Aging Cell · doi:10.1111/acel.13080 · Cited by 781 · see citing works
Self-citationMelzer, D. R., Pilling, L. C., & Ferrucci, L. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0183-6 · Cited by 371 · see citing works
Self-citationLower socioeconomic status and the acceleration of aging: An outcome-wide analysis
Steptoe, A., & Zaninotto, P. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915741117 · Cited by 307 · see citing works
Vineis, P., Robinson, O., Chadeau‐Hyam, M., Dehghan, A., Mudway, I., & Dagnino, S. (2020) · Environment International · doi:10.1016/j.envint.2020.105887 · Cited by 303 · see citing works
Livshits, G., & Kalinkovich, A. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100980 · Cited by 239 · see citing works
Determinants of accelerated metabolomic and epigenetic aging in a UK cohort
Robinson, O., Chadeau Hyam, M., Karaman, I., Climaco Pinto, R., Ala-Korpela, M., Handakas, E., Fiorito, G., Gao, H., Heard, A., Jarvelin, M., et al. (2020) · Aging Cell · doi:10.1111/acel.13149 · Cited by 205 · see citing works
Connecting aging biology and inflammation in the omics era
Walker, K. A., Basisty, N., Wilson, D. M., & Ferrucci, L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci158448 · Cited by 189 · see citing works
Self-citationMeasuring gait speed to better identify prodromal dementia
Grande, G., Triolo, F., Nuara, A., Welmer, A., Fratiglioni, L., & Vetrano, D. L. (2019) · Experimental Gerontology · doi:10.1016/j.exger.2019.05.014 · Cited by 186 · see citing works
Stress-induced biological aging: A review and guide for research priorities
Polsky, L. R., Rentscher, K. E., & Carroll, J. (2022) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2022.05.016 · Cited by 181 · see citing works
Ageing without dementia: can stimulating psychosocial and lifestyle experiences make a difference?
Fratiglioni, L., Marseglia, A., & Dekhtyar, S. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30039-9 · Cited by 158 · see citing works
Kuo, P.-L., Schrack, J. A., Shardell, M. D., Levine, M. E., Moore, A. Z., An, Y., Elango, P., Karikkineth, A. C., Tanaka, T., de Cabo, R., et al. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13024 · Cited by 137 · see citing works
Self-citationGao, X., Huang, N., Guo, X., & Huang, T. (2022) · Aging Cell · doi:10.1111/acel.13610 · Cited by 136 · see citing works
The road ahead for health and lifespan interventions
Gonzalez-Freire, M., Diaz-Ruiz, A., Hauser, D., Martinez-Romero, J., Ferrucci, L., Bernier, M., & de Cabo, R. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101037 · Cited by 118 · see citing works
Self-citationLi, X., Cao, X., Zhang, J., Fu, J., Mohedaner, M., Danzengzhuoga, Sun, X., Yang, G., Yang, Z., Kuo, C., et al. (2023) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18611 · Cited by 114 · see citing works
Sehgal, R., Markov, Y., Qin, C., Meer, M. V., Hadley, C., Shadyab, A. H., Casanova, R., Manson, J. E., Bhatti, P., Moore, A. Z., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00958-3 · Cited by 107 · see citing works
Self-citationIntegrating DNA Methylation Measures of Biological Aging into Social Determinants of Health Research
Raffington, L., & Belsky, D. W. (2022) · Current Environmental Health Reports · doi:10.1007/s40572-022-00338-8 · Cited by 94 · see citing works
Martínez-Amezcua, P., Powell, D. S., Kuo, P.-L., Reed, N. S., Sullivan, K., Palta, P., Szklo, M., Sharrett, R. A., Schrack, J. A., Lin, F. R., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.13742 · Cited by 97 · see citing works
Self-citationThe Role of Psychological and Social Well-being on Physical Function Trajectories in Older Adults
Saadeh, M., Welmer, A., Dekhtyar, S., Fratiglioni, L., & Calderón‐Larrañaga, A. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa114 · Cited by 98 · see citing works
Fostering healthy aging: The interdependency of infections, immunity and frailty
Vetrano, D. L., Triolo, F., Maggi, S., Malley, R., Jackson, T., Poscia, A., Bernabei, R., Ferrucci, L., & Fratiglioni, L. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101351 · Cited by 95 · see citing works
Self-citationLongitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging
Kuo, P., Schrack, J. A., Levine, M. E., Shardell, M. D., Simonsick, E. M., Chia, C. W., Moore, A. Z., Tanaka, T., An, Y., Karikkineth, A. C., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00243-7 · Cited by 94 · see citing works
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Huang, H., Chen, Y., Xu, W., Cao, L., Qian, K., Bischof, E. Y., Kennedy, B. K., & Pu, J. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.11.007 · Cited by 91 · see citing works
Aging biomarkers and the brain
Higgins‐Chen, A., Thrush, K., & Levine, M. E. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.01.003 · Cited by 86 · see citing works
Self-citationLi, X., & Ma, L. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102175 · Cited by 83 · see citing works
The brain–body energy conservation model of aging
Shaulson, E. D., Cohen, A. A., & Picard, M. A. (2024) · Nature Aging · doi:10.1038/s43587-024-00716-x · Cited by 76 · see citing works
Cui, F., Tang, L., Li, D., Ma, Y., Wang, J., Xie, J., Su, B., Tian, Y., & Zheng, X. (2024) · Science Advances · doi:10.1126/sciadv.adl3747 · Cited by 73 · see citing works
Barreto, P. D. S., Guyonnet, S., Ader, I., Andrieu, S., Casteilla, L., Davezac, N., Dray, C., Fazilleau, N., Gourdy, P., Liblau, R., et al. (2021) · The Journal of Frailty & Aging · doi:10.14283/jfa.2020.18 · Cited by 63 · see citing works
Physical Activity on Telomere Length as a Biomarker for Aging: A Systematic Review
Schellnegger, M., Lin, A. C., Hammer, N., & Kamolz, L. (2022) · Sports Medicine - Open · doi:10.1186/s40798-022-00503-1 · Cited by 60 · see citing works
Comparing the prognostic value of geriatric health indicators: a population-based study
Zucchelli, A., Vetrano, D. L., Grande, G., Calderón-Larrañaga, A., Fratiglioni, L., Marengoni, A., & Rizzuto, D. (2019) · BMC Medicine · doi:10.1186/s12916-019-1418-2 · Cited by 55 · see citing works
Developments in molecular epidemiology of aging
Hägg, S., Belsky, D. W., & Cohen, A. A. (2019) · Emerging Topics in Life Sciences · doi:10.1042/etls20180173 · Cited by 56 · see citing works
Plasma proteomic signature of the risk of developing mobility disability: A 9‐year follow‐up
Osawa, Y., Semba, R. D., Fantoni, G., Candia, J., Biancotto, A., Tanaka, T., Bandinelli, S., & Ferrucci, L. (2020) · Aging Cell · doi:10.1111/acel.13132 · Cited by 57 · see citing works
Self-citationCao, X., Ma, C., Zheng, Z., Liu, H., Hao, M., Chen, X., Crimmins, E. M., Gill, T. M., Levine, M. E., & Liu, Z. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101548 · Cited by 58 · see citing works
Self-citationTea consumption and attenuation of biological aging: a longitudinal analysis from two cohort studies
Xiang, Y., Xu, H., Chen, H., Tang, D., Huang, Z., Zhang, Y., Wang, Z., Wang, Z., Yangla, Han, M., et al. (2023) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2023.100955 · Cited by 68 · see citing works
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Self-citationDelirium and frailty in older adults: Clinical overlap and biological underpinnings
Bellelli, G., Triolo, F., Ferrara, M. C., Deiner, S. G., Morandi, A., Cesari, M., Davis, D. H. J., Marengoni, A., Inzitari, M., Watne, L. O., et al. (2024) · Journal of Internal Medicine · doi:10.1111/joim.20014 · Cited by 58 · see citing works
Clock Work: Deconstructing the Epigenetic Clock Signals in Aging, Disease, and ReprogrammingPreprint
Levine, M. E., Higgins‐Chen, A., Thrush, K., Minteer, C. J., & Niimi, P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.13.480245 · Cited by 58 · see citing works
Self-citationDekhtyar, S., Vetrano, D. L., Marengoni, A., Wang, H., Pan, K., Fratiglioni, L., & Calderón‐Larrañaga, A. (2019) · American Journal of Epidemiology · doi:10.1093/aje/kwz101 · Cited by 53 · see citing works
Huang, W., Zhang, Z., Colucci, M., Deng, L., Yang, M., Huang, X., Zhou, X. J., Jin, Y., Lazzarini, E., Balbi, C., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.108447 · Cited by 52 · see citing works
Measuring healthy ageing: current and future tools
Silva, N., Rajado, A. T., Esteves, F., Brito, D. V. C., Apolónio, J. D., Roberto, V. P., Binnie, A., Araújo, I. M., Nóbrega, C., Bragança, J., et al. (2023) · Biogerontology · doi:10.1007/s10522-023-10041-2 · Cited by 50 · see citing works
Yang, Z., Pu, F., Cao, X., Li, X., Sun, S., Zhang, J., Chen, C., Han, L., Yang, Y., Wang, W., et al. (2022) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2022.113542 · Cited by 42 · see citing works
Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II
Jawinski, P., Markett, S. A., Drewelies, J., Düzel, S., Demuth, I., Steinhagen‐Thiessen, E., Wagner, G. G., Gerstorf, D., Lindenberger, U., Christian Gaser, B., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.791222 · Cited by 42 · see citing works
Sustaining an ageing population: the role of micronutrients in frailty and cognitive impairment
O’Connor, D. M. A., Molloy, A. M., Laird, E. J., Kenny, R. A., & O’Halloran, A. M. (2023) · Proceedings of The Nutrition Society · doi:10.1017/s0029665123002707 · Cited by 41 · see citing works
Bortone, I., Griseta, C., Battista, P., Castellana, F., Lampignano, L., Zupo, R., Sborgia, G., Lozupone, M., Moretti, B., Giannelli, G., et al. (2021) · European Journal of Neurology · doi:10.1111/ene.14882 · Cited by 39 · see citing works
The association between sleep parameters and sarcopenia in Japanese community-dwelling older adults
Shibuki, T., Iida, M., Harada, S., Kato, S., Kuwabara, K., Hirata, A., Sata, M., Matsumoto, M., Osawa, Y., Okamura, T., et al. (2023) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2023.104948 · Cited by 35 · see citing works
NMR metabolomic modeling of age and lifespan: A multicohort analysis
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Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics
Pu, F., Chen, W., Li, C., Fu, J., Gao, W., Ma, C., Cao, X., Zhang, L., Hao, M., Zhou, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49283-0 · Cited by 39 · see citing works
Social Frailty in the COVID-19 Pandemic Era
Lozupone, M., Montagna, M. L., Gioia, I. D., Sardone, R., Resta, E., Daniele, A., Giannelli, G., Bellomo, A., & Panza, F. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.577113 · Cited by 35 · see citing works
Age-Related Disease Burden in China, 1997–2017: Findings From the Global Burden of Disease Study
Hu, D., Yan, W. S., Zhu, J., Zhu, Y., & Chen, J. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.638704 · Cited by 34 · see citing works
Association of PM2.5 Components with Acceleration of Aging: Moderating Role of Sex Hormones
Pan, R., Wang, J., Chang, W., Song, J. G., Yi, W., Zhao, F., Zhang, Y., Fang, J., Du, P., Cheng, J., et al. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.2c09005 · Cited by 33 · see citing works
Sanz, B., Arrieta, H., Rezola‐Pardo, C., Fernández‐Atutxa, A., Garin-Balerdi, J., Arizaga, N., Rodriguez‐Larrad, A., & Irazusta, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-88455-6 · Cited by 33 · see citing works
Diet and exercise in frailty and sarcopenia. Molecular aspects
Millan-Domingo, F., Garcia-Dominguez, E., Gambini, J., Olaso-Gonzalez, G., Viña, J., & Gomez-Cabrera, M. C. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101322 · Cited by 31 · see citing works
Cardiovascular Aging and Exercise: Implications for Heart Failure Prevention and Management
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The Cutting Edge of Epigenetic Clocks: In Search of Mechanisms Linking Aging and Mental Health
Harvanek, Z. M., Boks, M. P., Vinkers, C. H., & Higgins‐Chen, A. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.02.001 · Cited by 31 · see citing works
Ruan, Z., Li, D., Huang, D., Liang, M., Xu, Y., Qiu, Z., & Chen, X. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-076746 · Cited by 32 · see citing works
Physical resilience in older adults: Potential use in promoting healthy aging
Li, J., Chhetri, J. K., & Ma, L. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101701 · Cited by 30 · see citing works
Vigezzi, G. P., Barbati, C., Maggioni, E., Stenholm, S., Odone, A., Amerio, A., Ardito, C., Bertuccio, P., Costa, G., d’Errico, A., et al. (2025) · Social Science & Medicine · doi:10.1016/j.socscimed.2025.118049 · Cited by 36 · see citing works
Borbély, É., Payrits, M., Hunyady, Á., Mező, G., & Pintér, E. (2019) · GeroScience · doi:10.1007/s11357-019-00083-1 · Cited by 30 · see citing works
Rhythmic auditory stimuli modulate movement recovery in response to perturbation during locomotion
Ravi, D. K., Bartholet, M., Σκιαδόπουλος, Α., Kent, J. A., Wickstrom, J., Taylor, W. R., Singh, N. B., & Stergiou, N. (2021) · Journal of Experimental Biology · doi:10.1242/jeb.237073 · Cited by 29 · see citing works
Dietary patterns and accelerated multimorbidity in older adults
Abbad-Gomez, D., Carballo‐Casla, A., Beridze, G., López‐García, E., Rodríguez-Artalejo, F., Sala, M., Comas, M., Vetrano, D. L., & Calderón‐Larrañaga, A. (2025) · Nature Aging · doi:10.1038/s43587-025-00929-8 · Cited by 32 · see citing works
Calderón‐Larrañaga, A., Saadeh, M., Hooshmand, B., Refsum, H., Smith, A. D., Marengoni, A., & Vetrano, D. L. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.5316 · Cited by 29 · see citing works
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Choudhary, P., Kathuria, D., Suri, S., Bahndral, A., & Naveen, A. K. (2023) · Food Bioscience · doi:10.1016/j.fbio.2023.102389 · Cited by 29 · see citing works
Kok, A. A. L., Huisman, M. A., Giltay, E. J., & Lunansky, G. (2025) · The Lancet Healthy Longevity · doi:10.1016/j.lanhl.2024.100673 · Cited by 32 · see citing works
Metabolomics-Based Frailty Biomarkers in Older Chinese Adults
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Activity patterns are associated with fractional lifespan, memory, and gait speed in aged dogs
Mondino, A., Khan, M. Z., Case, B. C., Giovagnoli, S., Thomson, A., Lascelles, B. D. X., Gruen, M. E., & Olby, N. J. (2023) · Scientific Reports · doi:10.1038/s41598-023-29181-z · Cited by 28 · see citing works
DNAm aging biomarkers are responsive: Insights from 51 longevity interventional studies in humansPreprint
Sehgal, R., Borrus, D. S., Kasamato, J., Armstrong, J., González, J. T., Markov, Y., Priyanka, A., Smith, R. S., Carreras-Gallo, N., Dwaraka, V. B., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.22.619522 · Cited by 28 · see citing works
Aortic remodeling is modest and sex-independent in mice when hypertension is superimposed on aging
Spronck, B., Ferruzzi, J., Bellini, C. M., Caulk, A. W., Murtada, S., & Humphrey, J. D. (2020) · Journal of Hypertension · doi:10.1097/hjh.0000000000002400 · Cited by 26 · see citing works
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Schrack, J. A., Wanigatunga, A. A., Zipunnikov, V., Kuo, P., Simonsick, E. M., & Ferrucci, L. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa011 · Cited by 25 · see citing works
Self-citationHao, M., Zhang, H., Wu, J., Huang, Y., Li, X., Wang, M., Wang, S., Wang, J., Chen, J., Bao, Z., et al. (2025) · Advanced Science · doi:10.1002/advs.202501765 · Cited by 24 · see citing works
Bogdan, P. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01452 · Cited by 23 · see citing works
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Self-citationCao, X., Chen, C., Zhang, J., Xue, Q., Hoogendijk, E. O., Liu, X., Li, S., Wang, X., Zhu, Y., & Liu, Z. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-02913-y · Cited by 23 · see citing works
Rothermund, K., Englert, C., & Gerstorf, D. (2023) · Gerontology · doi:10.1159/000534324 · Cited by 23 · see citing works
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Balachandran, A., Pei, H., Shi, Y., Beard, J., Caspi, A., Cohen, A. A., Domingue, B. W., Indik, C. E., Ferrucci, L., Furuya, A., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00866-6 · Cited by 22 · see citing works
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Farrell, S., Stubbings, G., Rockwood, K. J., Mitnitski, A., & Rutenberg, A. D. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111403 · Cited by 22 · see citing works
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Lu, W. (2024) · Journal of Aging Research and Lifestyle · doi:10.14283/jarlife.2024.13 · Cited by 21 · see citing works
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Pang, L., Liu, Y., Shen, M., Ye, J., Chen, R., Lan, Z., Wu, Z., Guo, Y., & Zhang, P. (2020) · Aging · doi:10.18632/aging.202136 · Cited by 20 · see citing works
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Fiore, M., Terracina, S. A., Ferraguti, G., Petrella, C., Bruno, S. M., Blaconà, G., Certo, M. G. D., Minni, A., Greco, A., Musacchio, A., et al. (2022) · Current Cancer Drug Targets · doi:10.2174/1568009622666220816120353 · Cited by 21 · see citing works
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Alsaleh, G., Richter, F., & Simon, A. (2022) · Nature Reviews Rheumatology · doi:10.1038/s41584-022-00863-8 · Cited by 17 · see citing works
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Robinson, O., & Lau, C. E. (2023) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2023.102360 · Cited by 18 · see citing works
Lozupone, M., Solfrizzi, V., Sardone, R., Dibello, V., Castellana, F., Zupo, R., Lampignano, L., Bortone, I., Daniele, A., & Panza, F. (2023) · Epigenomics · doi:10.2217/epi-2023-0279 · Cited by 17 · see citing works
Feng, Y., Xu, W., Tang, S., Ye, Z., Fang, P., Abdullah, G., Yang, H., Kong, D., Huang, H., Wang, Y., et al. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111749 · Cited by 20 · see citing works
Simpson, F. R., Pajewski, N. M., Beavers, K. M., Kritchevsky, S. B., McCaffery, J. M., Nicklas, B. J., Wing, R. R., Bertoni, A. G., Ingram, F., Ojeranti, D., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa153 · Cited by 19 · see citing works
Evans, J. K., Usoh, C. O., Simpson, F. R., Espinoza, S. E., Hazuda, H. P., Pandey, A., Beckner, T., & Espeland, M. A. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad088 · Cited by 19 · see citing works
Twardzik, E., Schrack, J. A., Freedman, V. A., Reed, N. S., Ehrlich, J. R., & Martínez-Amezcua, P. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad271 · Cited by 19 · see citing works
Xiang, H., Huang, Y., Zhang, Y., He, P., Ye, Z., Yang, S., Zhang, Y., Gan, X., Hou, F. F., & Qin, X. (2024) · Age and Ageing · doi:10.1093/ageing/afae245 · Cited by 19 · see citing works
The Multidimensional Prognostic Index in general practice: One‐year follow‐up study
Meyer, A. M., Siri, G., Becker, I., Betz, T., Bödecker, A.-W., Robertz, J. W., Krause, O., Benzing, T. R., Pilotto, A., & Polidori, M. C. (2019) · International Journal of Clinical Practice · doi:10.1111/ijcp.13403 · Cited by 19 · see citing works
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Boccardi, V., & Mecocci, P. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-33330-0_9 · Cited by 19 · see citing works
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LaMonte, M. J., & Eaton, C. B. (2021) · Current Sports Medicine Reports · doi:10.1249/jsr.0000000000000869 · Cited by 18 · see citing works
Zhang, X., Hou, X., Liu, T., Zhongsheng, Z., Jiang, J., & Wu, X. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1010562 · Cited by 18 · see citing works
Han, M., Fang, J., Zhang, Y., Song, X., Jin, L., & Ma, Y. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-03874-6 · Cited by 18 · see citing works
Integrative multi‐omics analysis reveals the critical role of the PBXIP1 gene in Alzheimer's disease
Zhang, J., Sun, X., Jia, X., Sun, B., Xu, S., Zhang, W., & Liu, Z. (2023) · Aging Cell · doi:10.1111/acel.14044 · Cited by 17 · see citing works
Xu, X., & Xu, Z. (2024) · Clinical Cardiology · doi:10.1002/clc.24321 · Cited by 18 · see citing works
Holistic frailty prevention: The promise of movement‐based mind–body therapies
Loewenthal, J. V., Berning, M., Wayne, P. M., Eckstrom, E., & Orkaby, A. (2023) · Aging Cell · doi:10.1111/acel.13986 · Cited by 17 · see citing works
Koivunen, K., Sillanpää, E., von Bonsdorff, M. B., Sakari‐Rantala, R., Törmäkangas, T., & Rantanen, T. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz251 · Cited by 17 · see citing works
Telomere Length as a Biomarker of Biological Aging in Shift Workers
Ledda, C., Loreto, C., & Rapisarda, V. (2020) · Applied Sciences · doi:10.3390/app10082764 · Cited by 17 · see citing works
Implementing Precision Medicine in Human Frailty through Epigenetic Biomarkers
García‐Giménez, J. L., Mena, S., Tarazona‐Santabalbina, F. J., Viña, J., Gómez‐Cabrera, M. C., & Pallardó, F. V. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041883 · Cited by 16 · see citing works
- Authors
- Ferrucci, L., Levine, M. E., Kuo, P.-L., & Simonsick, E. M.
- Affiliations
- National Institute on Aging (US)
- Yale University (US)
- Johns Hopkins University (US)
- Venue
- Circulation Research
- Published
- 2018-09-14
- Volume
- 123
- Issue
- 7
- Pages
- 740-744
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- PMC
- PMC6205734
- OpenAlex
- W2892085335
- Cited by
- 303
- References
- 20
- Citations by year
- 2026: 55 · 2025: 61 · 2024: 48 · 2023: 37 · 2022: 35 · 2021: 26 · 2020: 23 · 2019: 17 · 2018: 1
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Circulation Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (Z01AG000015, R00AG052604, P30AG021342)
- 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, molecular aging, functional aging, life course, longitudinal aging study, compensatory mechanisms, resilience, aging interventions, older adults, disease burden
- MeSH terms
- Healthy Aging, Age Factors, Aging, Animals, Cardiovascular Diseases, Cardiovascular System, Gene Expression Regulation, Health Status, Humans, Life Expectancy, Phenotype, Risk Factors, Time Factors, Signal Transduction
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