Biological Age and Age Acceleration Predict Alzheimer's Disease Plasma Biomarker Levels
Eissman, J. M.; Ma, Y.; Qiao, M.; Reyes-Dumeyer, D.; Piriz, A.; Lee, A. J.; Lantigua, R. A.; Medrano, M.; Rivera Mejia, D.; Honig, L. S.; Grodstein, F.; Bennett, D. A.; De Jager, P. L.; Dalgard, C. L.; Mayeux, R.; Vardarajan, B. N.
Show abstract
Epigenetic clocks can predict pathological aging associated with Alzheimers disease (AD) risk, albeit findings are mixed regarding if clocks are predictive in blood and in non-European populations. We constructed epigenetic clocks from blood methylation data in 704 older Hispanic adults and tested the association with a clinical diagnosis of AD and plasma biomarker levels. Biological age and age acceleration, the rate of biological aging, were significantly associated with sex, clinical diagnosis, and levels of eight plasma biomarkers, including P-Tau217 levels. Additionally, biomarker associations trended more significant among APOE-{varepsilon}4 non-carriers. We also identified that methylation levels in CD4 and CD8 T-cell types are associated with biological aging and showed slightly stronger associations in men. We demonstrate that biological aging, in blood, in a Hispanic cohort of both demented and non-demented individuals, can stratify AD risk, predicting plasma biomarker levels even in preclinical disease.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Novel Blood-Based Epigenetic Clock for Intrinsic Capacity Predicts Mortality and is Associated with Clinical, Immunological and Lifestyle Factors 96%
- Neuronal apoE4 induces early hyperexcitability in select populations of hippocampal neurons by altering Nell2 expression 96%
- Heterochronic parabiosis reprograms the mouse brain transcriptome by shifting aging signatures in multiple cell types 95%
Similar papers in this journal
- ERCC1 mice, unlike other premature aging models, display accelerated epigenetic age 95%
- Age-associated transcriptomic and epigenetic alterations in mouse hippocampus 95%
- Epigenetic clocks of biological aging and risk of incident mild cognitive impairment and dementia: the Women's Health Initiative Memory Study 95%
Similar papers in this journal
- Individual bioenergetic capacity as a potential source of resilience to Alzheimer’s disease 98%
- Integrative epigenetics and transcriptomics identify aging genes in human blood 97%
- Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.