Resumen
The concept of age acceleration, the difference between biological age and chronological age, is of growing interest, particularly with respect to age-related disorders, such as Alzheimer’s Disease (AD). Whilst studies have reported associations with AD risk and related phenotypes, there remains a lack of consensus on these associations. Here we aimed to comprehensively investigate the relationship between five recognised measures of age acceleration, based on DNA methylation patterns (DNAm age), and cross-sectional and longitudinal cognition and AD-related neuroimaging phenotypes (volumetric MRI and Amyloid-β PET) in the Australian Imaging, Biomarkers and Lifestyle (AIBL) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Significant associations were observed between age acceleration using the Hannum epigenetic clock and cross-sectional hippocampal volume in AIBL and replicated in ADNI. In AIBL, several other findings were observed cross-sectionally, including a significant association between hippocampal volume and the Hannum and Phenoage epigenetic clocks. Further, significant associations were also observed between hippocampal volume and the Zhang and Phenoage epigenetic clocks within Amyloid-β positive individuals. However, these were not validated within the ADNI cohort. No associations between age acceleration and other Alzheimer’s disease-related phenotypes, including measures of cognition or brain Amyloid-β burden, were observed, and there was no association with longitudinal change in any phenotype. This study presents a link between age acceleration, as determined using DNA methylation, and hippocampal volume that was statistically significant across two highly characterised cohorts. The results presented in this study contribute to a growing literature that supports the role of epigenetic modifications in ageing and AD-related phenotypes.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 1807-1823 |
| Número de páginas | 17 |
| Publicación | GeroScience |
| Volumen | 44 |
| N.º | 3 |
| DOI | |
| Estado | Published - jun 2022 |
Nota bibliográfica
Publisher Copyright:© The Author(s) 2022.
Financiación
Open Access funding enabled and organized by CAUL and its Member Institutions Funding for the AIBL study was provided in part by the study partners (Commonwealth Scientific Industrial and research Organisation (CSIRO), Edith Cowan University (ECU), Mental Health Research Institute (MHRI), National Ageing Research Institute (NARI), Austin Health, CogState Ltd.). The AIBL study has also received support from the National Health and Medical Research Council (NHMRC) and the Dementia Collaborative Research Centres program (DCRC2), as well as funding from the Science and Industry Endowment Fund (SIEF) and the Cooperative Research Centre (CRC) for Mental Health—funded through the CRC Program, an Australian Government Initiative. Funding for this research was also supported through a NHMRC grant (GNT1161706) awarded to SML. Some of the DNAm data were generated by funding by the from the National Health and Medical Research Council (NHMRC) Boosting Dementia Research Grant (1151854) linked to the Joint Programming Neurodegenerative Disease (JPND) BRAIN-MEND grant awarded to NA, SML. These data are available from the GEO repository accession number GSE153712. We thank all the investigators within the AIBL who contributed to the design and implementation of the resource and/or provided data but did not actively participate in the development, analysis, interpretation or writing of this current study. A complete listing of AIBL investigators can be found at https://aibl.csiro.au/about/aibl-research-team/. Australian Imaging, Biomarkers and Lifestyle (AIBL) Study* *Data used in the preparation of this article was obtained from the Australian Imaging Biomarkers and Lifestyle flagship study of ageing (AIBL) funded by the Commonwealth Scientific and Industrial Research Organisation (CSIRO). The AIBL investigators, unless listed, contributed data but did not participate in analysis or writing of this report. AIBL researchers are listed at www.aibl.csiro.au. Christopher Fowler11, Stephanie R. Rainey-Smith14,15,16, Sabine Bird14, Julia Bomke7, Pierrick Bourgeat7, Belinda M. Brown15, Samantha C. Burnham1,5, Ashley I. Bush11, Carolyn Chadunow11, Steven Collins11, James Doecke1,7, Vincent Dore5,6, Kathryn A. Ellis11,17,18, Lis Evered19, Amir Fazlollahi5, Jurgen Fripp5, Samantha L. Gardener14, Simon Gibson5, Robert Grenfell5, Elise Harrison11, Richard Head5, Liang Jin11, Adrian Kamer11, Fiona Lamb6, Nicola T. Lautenschlager17, Simon M. Laws1,2,4, Qiao-Xin Li11, Lucy Lim14, Yen Ying Lim8,11, Andrea Louey11, S. Lance Macaulay5, Lucy Mackintosh11, Ralph N. Martins14,20, Paul Maruff11,12, Colin L. Masters11, Simon McBride5, Lidija Milicic1,2, Kelly Pertile11, Tenielle Porter1,2,4, Morgan Radler11, Joanne Robertson11, Mark Rodrigues14, Christopher C. Rowe6,11, Rebecca Rumble11, Olivier Salvado21, Greg Savage22, Rosita Shishegar5.
| Financiadores | Número del financiador |
|---|---|
| Science and Industry Endowment Fund | |
| Austin Health | |
| Joint Programming Neurodegenerative Disease | |
| Cogstate Ltd. | |
| CAUL | |
| Edith Cowan University | |
| Institute for Mental Health Research | |
| Australian National Health and Medical Research Council | |
| Commonwealth Scientific and Industrial Research Organisation | |
| National Ageing Research Institute | |
| Cooperative Research Centres, Australian Government Department of Industry | 1151854, GNT1161706 |
| Cooperative Research Centres, Australian Government Department of Industry |
ASJC Scopus subject areas
- Aging
- Veterinary (miscellaneous)
- Complementary and alternative medicine
- Geriatrics and Gerontology
- Cardiology and Cardiovascular Medicine
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