Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging

Pei Lun Kuo, Jennifer A. Schrack, Morgan E. Levine, Michelle D. Shardell, Eleanor Marie Simonsick, Chee Wei Chia, Ann Zenobia Moore, Toshiko Tanaka, Yang An, Ajoy Karikkineth, Majd AlGhatrif, Palchamy Elango, Linda M. Zukley, Josephine M. Egan, Rafael de Cabo, Susan M. Resnick, Luigi Ferrucci

Research output: Contribution to journalArticlepeer-review

Abstract

To define metrics of phenotypic aging, it is essential to identify biological and environmental factors that influence the pace of aging. Previous attempts to develop aging metrics were hampered by cross-sectional designs and/or focused on younger populations. In the Baltimore Longitudinal Study of Aging (BLSA), we collected longitudinally across the adult age range a comprehensive list of phenotypes within four domains (body composition, energetics, homeostatic mechanisms and neurodegeneration/neuroplasticity) and functional outcomes. We integrated individual deviations from population trajectories into a global longitudinal phenotypic metric of aging and demonstrate that accelerated longitudinal phenotypic aging is associated with faster physical and cognitive decline, faster accumulation of multimorbidity and shorter survival. These associations are more robust compared with the use of phenotypic and epigenetic measurements at a single time point. Estimation of these metrics required repeated measures of multiple phenotypes over time but may uniquely facilitate the identification of mechanisms driving phenotypic aging and subsequent age-related functional decline.

Original languageEnglish (US)
Pages (from-to)635-643
Number of pages9
JournalNature Aging
Volume2
Issue number7
DOIs
StatePublished - Jul 2022

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Aging
  • Neuroscience (miscellaneous)

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