Skip to main content

Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19.

Publication ,  Journal Article
Landay, A; Bartley, J; Banerjee, D; Hargis, G; Haynes, L; Keshavarzian, A; Kuo, C-L; Kwon, OS; Li, S; Li, S; Oh, J; Ozbolat, IT; Ucar, D ...
Published in: Front Aging
July 2021

Aging has emerged as the greatest and most prevalent risk factor for the development of severe COVID-19 infection and death following exposure to the SARS-CoV-2 virus. The presence of multiple co-existing chronic diseases and conditions of aging further enhances this risk. Biological aging not only enhances the risk of chronic diseases, but the presence of such conditions further accelerates varied biological processes or "hallmarks" implicated in aging. Given growing evidence that it is possible to slow the rate of many biological aging processes using pharmacological compounds has led to the proposal that such geroscience-guided interventions may help enhance immune resilience and improve outcomes in the face of SARS-CoV-2 infection. Our review of the literature indicates that most, if not all, hallmarks of aging may contribute to the enhanced COVID-19 vulnerability seen in frail older adults. Moreover, varied biological mechanisms implicated in aging do not function in isolation from each other, and exhibit intricate effects on each other. With all of these considerations in mind, we highlight limitations of current strategies mostly focused on individual single mechanisms, and we propose an approach which is far more multidisciplinary and systems-based emphasizing network topology of biological aging and geroscience-guided approaches to COVID-19.

Duke Scholars

Published In

Front Aging

DOI

EISSN

2673-6217

Publication Date

July 2021

Volume

2

Location

Switzerland

Related Subject Headings

  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Landay, A., Bartley, J., Banerjee, D., Hargis, G., Haynes, L., Keshavarzian, A., … Kuchel, G. A. (2021). Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19. Front Aging, 2. https://doi.org/10.3389/fragi.2021.695218
Landay, Alan, Jenna Bartley, Dishary Banerjee, Geneva Hargis, Laura Haynes, Ali Keshavarzian, Chia-Ling Kuo, et al. “Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19.Front Aging 2 (July 2021). https://doi.org/10.3389/fragi.2021.695218.
Landay A, Bartley J, Banerjee D, Hargis G, Haynes L, Keshavarzian A, et al. Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19. Front Aging. 2021 Jul;2.
Landay, Alan, et al. “Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19.Front Aging, vol. 2, July 2021. Pubmed, doi:10.3389/fragi.2021.695218.
Landay A, Bartley J, Banerjee D, Hargis G, Haynes L, Keshavarzian A, Kuo C-L, Kwon OS, Li S, Oh J, Ozbolat IT, Ucar D, Xu M, Yao X, Unutmaz D, Kuchel GA. Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19. Front Aging. 2021 Jul;2.

Published In

Front Aging

DOI

EISSN

2673-6217

Publication Date

July 2021

Volume

2

Location

Switzerland

Related Subject Headings

  • 3202 Clinical sciences