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Temporal dynamics of epigenetic aging and frailty from midlife to old age.
Mak, Jonathan K L; Karlsson, Ida K; Tang, Bowen; Wang, Yunzhang; Pedersen, Nancy L; Hägg, Sara; Jylhävä, Juulia; Reynolds, Chandra A.
Affiliation
  • Mak JKL; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Karlsson IK; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Tang B; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Wang Y; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Pedersen NL; Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
  • Hägg S; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Jylhävä J; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Reynolds CA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Article in En | MEDLINE | ID: mdl-37889476
ABSTRACT

BACKGROUND:

DNA methylation-derived epigenetic clocks and frailty are well-established biological age measures capturing different aging processes. However, whether they are dynamically linked to each other across chronological age remains poorly understood.

METHODS:

This analysis included 1,309 repeated measurements in 524 individuals aged 50 to 90 years from the Swedish Adoption/Twin Study of Aging. Frailty was measured using a validated 42-item frailty index (FI). Five epigenetic clocks were calculated, including four principal component (PC)-based clocks trained on chronological age (PCHorvathAge, PCHannumAge) and aging-related physiological conditions (PCPhenoAge, PCGrimAge), and a pace of aging clock (DunedinPACE). Using dual change score models, we examined the dynamic, bidirectional associations between each of the epigenetic clocks and the FI over age to test for potential causal associations.

RESULTS:

The FI exhibited a nonlinear, accelerated increase across the older adulthood, whereas the epigenetic clocks mostly increased linearly with age. For PCHorvathAge, PCHannumAge, PCPhenoAge, and PCGrimAge, their associations with the FI were primarily due to correlated levels at age 50 but with no evidence of a dynamic longitudinal association. In contrast, we observed a unidirectional association between DunedinPACE and the FI, where a higher DunedinPACE predicted a subsequent increase in the FI, but not vice versa.

CONCLUSION:

Our results highlight a temporal order between epigenetic aging and frailty such that changes in DunedinPACE precede changes in the FI. This potentially suggests that the pace of aging clock can be used as an early marker of the overall physiological decline at system level.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Gerontol A Biol Sci Med Sci Journal subject: GERIATRIA Year: 2023 Document type: Article Affiliation country: Suecia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Gerontol A Biol Sci Med Sci Journal subject: GERIATRIA Year: 2023 Document type: Article Affiliation country: Suecia