Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants

Chia Ling Kuo, Luke C. Pilling, Janice L. Atkins, Jane A.H. Masoli, João Delgado, Christopher Tignanelli, George A. Kuchel, David Melzer, Kenneth B. Beckman, Morgan E. Levine

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Age and disease prevalence are the 2 biggest risk factors for Coronavirus disease 2019 (COVID-19) symptom severity and death. We therefore hypothesized that increased biological age, beyond chronological age, may be driving disease-related trends in COVID-19 severity. Methods: Using the UK Biobank England data, we tested whether a biological age estimate (PhenoAge) measured more than a decade prior to the COVID-19 pandemic was predictive of 2 COVID-19 severity outcomes (inpatient test positivity and COVID-19-related mortality with inpatient test-confirmed COVID-19). Logistic regression models were used with adjustment for age at the pandemic, sex, ethnicity, baseline assessment centers, and preexisting diseases/conditions. Results: Six hundred and thirteen participants tested positive at inpatient settings between March 16 and April 27, 2020, 154 of whom succumbed to COVID-19. PhenoAge was associated with increased risks of inpatient test positivity and COVID-19-related mortality (ORMortality = 1.63 per 5 years, 95% CI: 1.43-1.86, p = 4.7 × 10-13) adjusting for demographics including age at the pandemic. Further adjustment for preexisting diseases/conditions at baseline (ORM = 1.50, 95% CI: 1.30-1.73 per 5 years, p = 3.1 × 10-8) and at the early pandemic (ORM = 1.21, 95% CI: 1.04-1.40 per 5 years, p =. 011) decreased the association. Conclusions: PhenoAge measured in 2006-2010 was associated with COVID-19 severity outcomes more than 10 years later. These associations were partly accounted for by prevalent chronic diseases proximate to COVID-19 infection. Overall, our results suggest that aging biomarkers, like PhenoAge may capture long-term vulnerability to diseases like COVID-19, even before the accumulation of age-related comorbid conditions.

Original languageEnglish (US)
Pages (from-to)E133-E141
JournalJournals of Gerontology - Series A Biological Sciences and Medical Sciences
Volume76
Issue number8
DOIs
StatePublished - Aug 1 2021

Bibliographical note

Publisher Copyright:
© 2021 The Author(s). Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved.

Keywords

  • Biological age
  • Biomarkers
  • Phenotypic age
  • UK Biobank

Fingerprint

Dive into the research topics of 'Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants'. Together they form a unique fingerprint.

Cite this