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Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging.

Nature aging - 1 Jul 2022

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

Abstract excerpt

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...

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PMID: 36910594
DOI: 10.1038/s43587-022-00243-7
PMCID: PMC9997119

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