TY - JOUR
T1 - Analysis of second-generation epigenetic clocks reveals further associations between disproportionate biological ageing and hippocampal volume
AU - Alzheimer’s Disease Neuroimaging Initiative (ADNI)
AU - Australian Imaging Biomarkers, Lifestyle (AIBL) Study
AU - Milicic, Lidija
AU - Vacher, Michael
AU - Doré, Vincent
AU - Bourgeat, Pierrick
AU - Shishegar, Rosita
AU - Doecke, James D.
AU - Maruff, Paul
AU - Rowe, Christopher C.
AU - Villemagne, Victor L.
AU - Raj, Balebail Ashok
AU - Fargher, Kristin
AU - Smith, Amanda
AU - Raudin, Lisa
AU - Chaing, Gloria
AU - Relkin, Norman
AU - Smith, Karen Elizabeth
AU - Shim, Hyungsub
AU - Boles Ponto, Laura L.
AU - Schultz, Susan K.
AU - Sarrael, Antero
AU - Hernando, Raymundo
AU - Pomara, Nunzio
AU - Drost, Dick
AU - Kertesz, Andrew
AU - Rogers, John
AU - Rachinsky, Irina
AU - Pasternak, Stephen
AU - Finger, Elizabether
AU - Bachman, David
AU - Spicer, Kenneth
AU - Mintzer, Jacobo
AU - Miller, Bruce L.
AU - Rosen, Howard J.
AU - Correia, Stephen
AU - Malloy, Paul
AU - Salloway, Stephen
AU - Tremont, Geoffrey
AU - Querfurth, Henry
AU - Ott, Brian R.
AU - Watkins, Franklin
AU - Garg, Pradeep
AU - Williamson, Jeff D.
AU - SinkS, Kaycee M.
AU - Schwartz, Eben S.
AU - Kitzmiller, Tamar J.
AU - Santulli, Robert B.
AU - Anderson, Karen
AU - Blank, Karen
AU - Pearlson, Godfrey D.
AU - Brown, Alice D.
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - Age acceleration, or the difference between biological and chronological age, is a research area of growing interest, particularly in the field of age-related and neurodegenerative disorders, including Alzheimer’s disease (AD). First-generation epigenetic clocks that predict chronological age utilising DNA methylation data were the first to derive estimates of age acceleration, which have been associated with several age-related conditions. More recently, second-generation epigenetic clocks that are predictors of specific traits such as age-related health, disease or morbidity and mortality phenotypes have been developed. These are considered better predictors of health-related traits and show stronger associations with lifespan and mortality than most first-generation clocks. This study aimed to extend on our previous findings of associations of first-generation clocks with hippocampal volume, by investigating the relationship between ten second-generation clocks and brain volumetrics, brain Aβ burden and cognition in the Australian Imaging, Biomarkers and Lifestyle (AIBL) and Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohorts. Significant associations were found between age acceleration, as estimated by the Principal Components PhenoAge (PCPhenoAge) epigenetic clock, and hippocampal volume in the AIBL study, with replication in the ADNI dataset. Several other significant cross-sectional findings were observed between hippocampal volume and GrimAge, PCGrimAge, PCHorvathS2013, PCHorvathS2018 and PCHannumG2013 and between a DNA methylation-derived estimate of telomere length and change in brain Aβ burden. However, these results were not validated in the ADNI cohort. This investigation of second-generation epigenetic clocks further adds to the body of existing literature on the application of epigenetic clocks in relation to the ageing process and in the development of AD-related traits.
AB - Age acceleration, or the difference between biological and chronological age, is a research area of growing interest, particularly in the field of age-related and neurodegenerative disorders, including Alzheimer’s disease (AD). First-generation epigenetic clocks that predict chronological age utilising DNA methylation data were the first to derive estimates of age acceleration, which have been associated with several age-related conditions. More recently, second-generation epigenetic clocks that are predictors of specific traits such as age-related health, disease or morbidity and mortality phenotypes have been developed. These are considered better predictors of health-related traits and show stronger associations with lifespan and mortality than most first-generation clocks. This study aimed to extend on our previous findings of associations of first-generation clocks with hippocampal volume, by investigating the relationship between ten second-generation clocks and brain volumetrics, brain Aβ burden and cognition in the Australian Imaging, Biomarkers and Lifestyle (AIBL) and Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohorts. Significant associations were found between age acceleration, as estimated by the Principal Components PhenoAge (PCPhenoAge) epigenetic clock, and hippocampal volume in the AIBL study, with replication in the ADNI dataset. Several other significant cross-sectional findings were observed between hippocampal volume and GrimAge, PCGrimAge, PCHorvathS2013, PCHorvathS2018 and PCHannumG2013 and between a DNA methylation-derived estimate of telomere length and change in brain Aβ burden. However, these results were not validated in the ADNI cohort. This investigation of second-generation epigenetic clocks further adds to the body of existing literature on the application of epigenetic clocks in relation to the ageing process and in the development of AD-related traits.
KW - Ageing
KW - Alzheimer’s disease
KW - DNA methylation
KW - Epigenetic clock
KW - Epigenetics
UR - https://www.scopus.com/pages/publications/105042316150
U2 - 10.1007/s11357-026-02346-0
DO - 10.1007/s11357-026-02346-0
M3 - Article
C2 - 42322545
AN - SCOPUS:105042316150
SN - 2509-2715
JO - GeroScience
JF - GeroScience
ER -