COVID‐19 is an emergent disease of aging
Open accessPublished version of a preprint
Abstract
COVID‐19 is an ongoing pandemic caused by the SARS‐CoV‐2 coronavirus that poses one of the greatest challenges to public health in recent years. SARS‐CoV‐2 is known to preferentially target older subjects and those with pre‐existing conditions, but the reason for this age dependence is unclear. Here, we found that the case fatality rate for COVID‐19 grows exponentially with age in all countries tested, with the doubling time approaching that of all‐cause human mortality. In addition, men and those with multiple age‐related diseases are characterized by increased mortality. Moreover, similar mortality patterns were found for all‐cause pneumonia. We further report that the gene expression of ACE2, the SARS‐CoV‐2 receptor, grows in the lung with age, except for subjects on a ventilator. Together, our findings establish COVID‐19 as an emergent disease of aging, and age and age‐related diseases as its major risk factors. In turn, this suggests that COVID‐19, and deadly respiratory diseases in general, may be targeted, in addition to antiviral approaches, by approaches that target the aging process.
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In data from Wuhan, age was the main risk factor for COVID-19 progression to acute respiratory distress syndrome and end-organ failure.
“data from Wuhan, China showed that age was the primary risk factor associated with COVID-19 progression to acute respiratory distress syndrome (ARDS) and end-organ failure7”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [8]
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Cites
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244 · see citing works
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263 · see citing works
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286 · see citing works
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148 · see citing works
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463 · see citing works
A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688 · see citing works
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254 · see citing works
In situ click chemistry generation of cyclooxygenase-2 inhibitors
Bhardwaj, A., Kaur, J., Wuest, M., & Wuest, F. (2017) · Nature Communications · doi:10.1038/s41467-016-0009-6 · Cited by 7,448 · see citing works
Factors associated with COVID-19-related death using OpenSAFELY
Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2521-4 · Cited by 6,674 · see citing works
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 · see citing works
Estimates of the severity of coronavirus disease 2019: a model-based analysis
Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30243-7 · Cited by 3,660 · see citing works
Letko, M., Marzi, A., & Munster, V. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0688-y · Cited by 3,109 · see citing works
DNA 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
Senolytics improve physical function and increase lifespan in old age
Xu, M., Pirtskhalava, T., Farr, J. N., Weigand, B. M., Palmer, A. K., Weivoda, M. M., Inman, C. L., Ogrodnik, M. B., Hachfeld, C. M., Fraser, D. G., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0092-9 · Cited by 2,287 · see citing works
Zou, X., Chen, K., Zou, J., Han, P., Hao, J., & Han, Z. (2020) · Frontiers of Medicine · doi:10.1007/s11684-020-0754-0 · Cited by 2,287 · see citing works
Ziegler, C. G. K., Allon, S. J., Nyquist, S. K., Mbano, I. M., Miao, V. N., Tzouanas, C. N., Cao, Y., Yousif, A. S., Bals, J., Hauser, B. M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.035 · Cited by 2,284 · see citing works
Monteil, V., Kwon, H., Prado, P., Hagelkrüys, A., Wimmer, R. A., Stahl, M., Leopoldi, A., Garreta, E., Hurtado del Pozo, C., Prosper, F., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.004 · Cited by 2,122 · see citing works
Structure of SARS Coronavirus Spike Receptor-Binding Domain Complexed with Receptor
Li, F., Li, W., Farzan, M., & Harrison, S. C. (2005) · Science · doi:10.1126/science.1116480 · Cited by 2,031 · see citing works
Expression of the SARS-CoV-2 cell receptor gene ACE2 in a wide variety of human tissues
Li, M., Li, L., Zhang, Y., & Wang, X. (2020) · Infectious Diseases of Poverty · doi:10.1186/s40249-020-00662-x · Cited by 1,605 · see citing works
Ferrario, C. M., Jessup, J. A., Chappell, M. C., Averill, D. B., Brosnihan, K. B., Tallant, E. A., Diz, D. I., & Gallagher, P. E. (2005) · Circulation · doi:10.1161/circulationaha.104.510461 · Cited by 1,567 · see citing works
Hydrolysis of Biological Peptides by Human Angiotensin-converting Enzyme-related Carboxypeptidase
Vickers, C., Hales, P., Kaushik, V. K., Dick, L. R., Gavin, J. M., Tang, J., Godbout, K., Parsons, T. F., Baronas, E., Hsieh, F., et al. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m200581200 · Cited by 1,406 · see citing works
Clonal hematopoiesis in human aging and disease
Jaiswal, S., & Ebert, B. L. (2019) · Science · doi:10.1126/science.aan4673 · Cited by 1,156 · see citing works
Cellular senescence drives age-dependent hepatic steatosis
Ogrodnik, M., Miwa, S., Tchkonia, T., Tiniakos, D., Wilson, C. L., Lahat, A., Day, C. P., Burt, A., Palmer, A., Anstee, Q. M., et al. (2017) · Nature Communications · doi:10.1038/ncomms15691 · Cited by 1,044 · see citing works
Qi, F., Qian, S., Zhang, S., & Zhang, Z. (2020) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2020.03.044 · Cited by 905 · see citing works
The Influence of Age on T Cell Generation and TCR Diversity
Naylor, K., Li, G., Vallejo, A. N., Lee, W.-W., Koetz, K., Bryl, E., Witkowski, J., Fulbright, J., Weyand, C. M., & Goronzy, J. J. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.11.7446 · Cited by 802 · see citing works
Nasal Gene Expression of Angiotensin-Converting Enzyme 2 in Children and Adults.
Bunyavanich, S., Do, A. N., & Vicencio, A. (2020) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2020.8707 · Cited by 776 · see citing works
The Clinical potential of Senolytic Drugs
Kirkland, J. L., Tchkonia, T., Zhu, Y., Niedernhofer, L. J., & Robbins, P. D. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14969 · Cited by 539 · see citing works
Wu, P., Hao, X., Lau, E. H. Y., Wong, J. Y., Leung, K. S. M., Wu, J. T. K., Cowling, B. J., & Leung, G. M. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.3.2000044 · Cited by 462 · see citing works
Individual variation of the SARS‐CoV‐2 receptor ACE2 gene expression and regulation
Chen, J., Jiang, Q., Xia, X., Liu, K., Yu, Z., Tao, W., Gong, W., & Han, J. J. (2020) · Aging Cell · doi:10.1111/acel.13168 · Cited by 436 · see citing works
Age- and gender-related difference of ACE2 expression in rat lung
Xudong, X., Junzhu, C., Xingxiang, W., Furong, Z., & Yanrong, L. (2006) · Life Sciences · doi:10.1016/j.lfs.2005.09.038 · Cited by 410 · see citing works
Ewig, S., Birkner, N., Strauss, R., Schaefer, É., Pauletzki, J., Bischoff, H. G., Schraeder, P., Welte, T., & Hoeffken, G. (2009) · Thorax · doi:10.1136/thx.2008.109785 · Cited by 404 · see citing works
Vu, T., FARISH, S. J., Jenkins, M. A., & Kelly, H. A. (2002) · Vaccine · doi:10.1016/s0264-410x(02)00041-5 · Cited by 375 · see citing works
Thymic involution and rising disease incidence with age
Palmer, S., Albergante, L., Blackburn, C. C., & Newman, T. J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714478115 · Cited by 364 · see citing works
Analysis of the human thymic perivascular space during aging
Flores, K. G., Li, J., Sempowski, G. D., Haynes, B. F., & Hale, L. P. (1999) · Journal of Clinical Investigation · doi:10.1172/jci7558 · Cited by 247 · see citing works
Infection in an aging population
Kline, K. A., & Bowdish, D. M. E. (2015) · Current Opinion in Microbiology · doi:10.1016/j.mib.2015.11.003 · Cited by 229 · see citing works
Why Aging T Cells Fail: Implications for Vaccination
Haynes, L., & Swain, S. L. (2006) · Immunity · doi:10.1016/j.immuni.2006.06.003 · Cited by 169 · see citing works
The role of immunity in susceptibility to respiratory infection in the aging lung
Meyer, K. C. (2001) · Respiration Physiology · doi:10.1016/s0034-5687(01)00261-4 · Cited by 147 · see citing works
. Persistent viral infections and immune aging.
Brunner, S., Herndler-Brandstetter, D., Weinberger, B., & Grubeck-Loebenstein, B. (2011) · Ageing Research Reviews · doi:10.1016/j.arr.2010.08.003 · Cited by 143 · see citing works
Cai, G. (2020) · medRxiv · doi:10.1101/2020.02.05.20020107 · Cited by 128 · see citing works
Correction: Corrigendum: Origin and structure of polar domains in doped molecular crystals
Meirzadeh, E., Azuri, I., Yang, Q., Ehre, D., Rappe, A. M., Lahav, M., Kronik, L., & Lubomirsky, I. (2017) · Nature Communications · doi:10.1038/ncomms14597 · Cited by 100 · see citing works
Zhavoronkov, A. A. (2020) · Aging · doi:10.18632/aging.102988 · Cited by 92 · see citing works
Cai, G. (2020) · Preprints.org · doi:10.20944/preprints202002.0051.v2 · Cited by 52 · see citing works
Taylor, S. (1870) · Nature · doi:10.1038/001430c0 · Cited by 4 · see citing works
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Mueller, A. L., McNamara, M. S., & Sinclair, D. A. (2020) · Aging · doi:10.18632/aging.103344 · Cited by 1,128 · see citing works
Bajaj, V., Gadi, N., Spihlman, A. P., Wu, S. C., Choi, C. H., & Moulton, V. R. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2020.571416 · Cited by 476 · see citing works
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Alehagen, U., Opstad, T. B., Alexander, J., Larsson, A., & Aaseth, J. (2021) · Biomolecules · doi:10.3390/biom11101478 · Cited by 69 · see citing works
- Authors
- Santesmasses, D., Castro, J. P., Zenin, A. A., Shindyapina, A. V., Gerashchenko, M. V., Zhang, B., Kerepesi, C., Yim, S. H., Fedichev, P. O., & Gladyshev, V. N.
- Affiliations
- Brigham and Women's Hospital (US)
- Lomonosov Moscow State University (RU)
- Moscow Institute of Physics and Technology (RU)
- Corresponding author
- Gladyshev, Vadim N.
- ORCID
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2020-10
- Volume
- 19
- Issue
- 10
- Pages
- e13230-e13230
- ISSN
- 1474-9718 (ISSN-L)
- 1474-9726
- PMC
- PMC7576244
- OpenAlex
- W3091629566
- Cited by
- 172
- References
- 44
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 20 · 2023: 27 · 2022: 31 · 2021: 57 · 2020: 20
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Aging Cell (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (AG067782)
- National Institute of General Medical Sciences (GM065204)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, aging, age-related diseases, case fatality rate, mortality, sex differences, ACE2 gene expression, lung aging, pneumonia, ventilator use, age dependence, respiratory diseases
- MeSH terms
- Betacoronavirus, Angiotensin-Converting Enzyme 2, COVID-19, SARS-CoV-2, Age Factors, Aged, Aging, Female, Humans, Peptidyl-Dipeptidase A, Male, Pneumonia, Viral, Sex Factors, Global Health, Coronavirus Infections, Pandemics
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