Skip to content
Open access · CC-BY via OpenAlex

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

ALAN L. LANDAY, Jenna M. Bartley, Dishary Banerjee, Geneva R. Hargis, Laura Haynes, Ali Keshavarzian, Chia‐Ling Kuo, Oh Sung Kwon, Sheng Li, Shuzhao Li, Julia Oh, Ibrahim Tarik Ozbolat, Duygu Ucar, Ming Xu, Xudong Yao

Frontiers in Aging · 2021 · ▲ 6 citations

Abstract

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, telomere(definition) attrition, cellular senescence(definition))." style="text-decoration:underline dotted; text-underline-offset:2px; cursor:help;">hallmarks of aging(definition) 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.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
OpenAlex
DOI
10.3389/fragi.2021.695218
Canonical
link ↗
Fetched
2026-10-23 MST

Cite this

APA
LANDAY, A.L., Bartley, J.M., Banerjee, D., Hargis, G.R., Haynes, L., Keshavarzian, A., Kuo, C., Kwon, O.S., Li, S., Li, S., Oh, J., Ozbolat, I.T., Ucar, D., Xu, M., Yao, X., Unutmaz, D., &amp; Kuchel, G.A. (2021). Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19. <em>Frontiers in Aging</em>. https://doi.org/10.3389/fragi.2021.695218
Vancouver
LANDAY AL, Bartley JM, Banerjee D, Hargis GR, Haynes L, Keshavarzian A, et al. Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19. Frontiers in Aging. 2021. doi:10.3389/fragi.2021.695218.
BibTeX
@article{alan2021Networ, title = {Network Topology of Biological Aging and Geroscience-Guided Approaches to COVID-19}, author = {ALAN L. LANDAY and Jenna M. Bartley and Dishary Banerjee and Geneva R. Hargis and Laura Haynes and Ali Keshavarzian and Chia‐Ling Kuo and Oh Sung Kwon and Sheng Li and Shuzhao Li and Julia Oh and Ibrahim Tarik Ozbolat and Duygu Ucar and Ming Xu and Xudong Yao and Derya Unutmaz and George A. Kuchel}, journal = {Frontiers in Aging}, year = {2021}, doi = {10.3389/fragi.2021.695218}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings