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Roccati E, Bindoff AD, Collins JM, Eastgate J, Borchard J, Alty J, King AE, Vickers JC, Carboni M, Logan C. Modifiable dementia risk factors and AT(N) biomarkers: findings from the EPAD cohort. Front Aging Neurosci 2024; 16:1346214. [PMID: 38384935 PMCID: PMC10879413 DOI: 10.3389/fnagi.2024.1346214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/15/2024] [Indexed: 02/23/2024] Open
Abstract
Introduction Modifiable risk factors account for a substantial proportion of Alzheimer's disease (AD) cases and we currently have a discrete AT(N) biomarker profile for AD biomarkers: amyloid (A), p-tau (T), and neurodegeneration (N). Here, we investigated how modifiable risk factors relate to the three hallmark AT(N) biomarkers of AD. Methods Participants from the European Prevention of Alzheimer's Dementia (EPAD) study underwent clinical assessments, brain magnetic resonance imaging, and cerebrospinal fluid collection and analysis. Generalized additive models (GAMs) with penalized regression splines were modeled in the AD Workbench on the NTKApp. Results A total of 1,434 participants were included (56% women, 39% APOE ε4+) with an average age of 65.5 (± 7.2) years. We found that modifiable risk factors of less education (t = 3.9, p < 0.001), less exercise (t = 2.1, p = 0.034), traumatic brain injury (t = -2.1, p = 0.036), and higher body mass index (t = -4.5, p < 0.001) were all significantly associated with higher AD biomarker burden. Discussion This cross-sectional study provides further support for modifiable risk factors displaying neuroprotective associations with the characteristic AT(N) biomarkers of AD.
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Affiliation(s)
- Eddy Roccati
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | - Aidan David Bindoff
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | - Jessica Marie Collins
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | - Joshua Eastgate
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | - Jay Borchard
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | - Jane Alty
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
- Royal Hobart Hospital, Hobart, TAS, Australia
| | - Anna Elizabeth King
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | - James Clement Vickers
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia
| | | | - Chad Logan
- Roche Diagnostics GmbH, Penzberg, Germany
| | - EPAD Consortium
- Department of Radiology and Nuclear Medicine, University of Amsterdam, De Boelelaan, Amsterdam, Netherlands
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Slee MG, Rainey‐Smith SR, Villemagne VL, Doecke JD, Sohrabi HR, Taddei K, Ames D, Dore V, Maruff P, Laws SM, Masters CL, Rowe CC, Martins RN, Erickson KI, Brown BM. Physical activity and brain amyloid beta: A longitudinal analysis of cognitively unimpaired older adults. Alzheimers Dement 2024; 20:1350-1359. [PMID: 37984813 PMCID: PMC10917015 DOI: 10.1002/alz.13556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/13/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION The current study evaluated the relationship between habitual physical activity (PA) levels and brain amyloid beta (Aβ) over 15 years in a cohort of cognitively unimpaired older adults. METHODS PA and Aβ measures were collected over multiple timepoints from 731 cognitively unimpaired older adults participating in the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study of Aging. Regression modeling examined cross-sectional and longitudinal relationships between PA and brain Aβ. Moderation analyses examined apolipoprotein E (APOE) ε4 carriage impact on the PA-Aβ relationship. RESULTS PA was not associated with brain Aβ at baseline (β = -0.001, p = 0.72) or over time (β = -0.26, p = 0.24). APOE ε4 status did not moderate the PA-Aβ relationship over time (β = 0.12, p = 0.73). Brain Aβ levels did not predict PA trajectory (β = -54.26, p = 0.59). DISCUSSION Our study did not identify a relationship between habitual PA and brain Aβ levels. HIGHLIGHTS Physical activity levels did not predict brain amyloid beta (Aβ) levels over time in cognitively unimpaired older adults (≥60 years of age). Apolipoprotein E (APOE) ε4 carrier status did not moderate the physical activity-brain Aβ relationship over time. Physical activity trajectories were not impacted by brain Aβ levels.
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Affiliation(s)
- Michael G. Slee
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Stephanie R. Rainey‐Smith
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- School of Psychological ScienceUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
| | - Victor L. Villemagne
- Department of Molecular Imaging & TherapyAustin HealthHeidelbergVictoriaAustralia
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
- Centre for Precision HealthEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - James D. Doecke
- The Australian e‐Health Research CentreCSIROHerstonQueenslandAustralia
| | - Hamid R. Sohrabi
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- Department of Biomedical SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Kevin Taddei
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
| | - David Ames
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- National Ageing Research InstituteParkvilleVictoriaAustralia
- Academic Unit for Psychiatry of Old AgeUniversity of MelbourneCarltonVictoriaAustralia
| | - Vincent Dore
- Department of Molecular Imaging & TherapyAustin HealthHeidelbergVictoriaAustralia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- Cogstate LtdMelbourneVictoriaAustralia
| | - Simon M. Laws
- Centre for Precision HealthEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Collaborative Genomics and Translation GroupSchool of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Curtin Medical SchoolCurtin UniversityBentleyWestern AustraliaAustralia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Christopher C. Rowe
- Department of Molecular Imaging & TherapyAustin HealthHeidelbergVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
| | - Ralph N. Martins
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- Department of Biomedical SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Kirk I. Erickson
- Department of PsychologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Belinda M. Brown
- Centre for Healthy AgeingHealthy Futures InstituteMurdoch UniversityMurdochWestern AustraliaAustralia
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
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Stojanovic M, Waters AB, Kiselica AM, Benge JF. The impact of technology-based compensatory behaviors on subjective cognitive decline in older adults with a family history of dementia. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-9. [PMID: 37647340 DOI: 10.1080/23279095.2023.2247109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
The current study examined whether greater use of technology to help with daily tasks is associated with less subjective cognitive decline (SCD), especially in individuals with a family history of Alzheimer's disease (AD). Individuals over the age of 50 (n = 102; age range 50-85) completed surveys about their digital and analog approaches to daily tasks, physical activity, and SCD. Participants with and without family histories of AD were matched on age, education, sex, and family history of AD using the R package MatchIt. There was no main effect of technology-based behavioral strategies on SCD (p = 0.259). However, a family history of AD moderated the association between technology use and SCD even when controlling for another protective lifestyle factor, physical activity. In individuals with a family history of AD, more reliance on technology-based behavioral strategies was associated with less SCD (p = 0.018), but this relationship was not significant in individuals without family history of AD (p = 0.511). Our findings suggest that technology-based behavioral strategies are associated with less SCD in individuals with a family history of AD, independent of another protective lifestyle factor. Future recommendations provided by healthcare providers to address SCD in cognitively unimpaired older adults might include focusing on technological assistance.
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Affiliation(s)
- Marta Stojanovic
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
- Department of Psychological and Brain Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Abigail B Waters
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
- Department of Psychology, Suffolk University, Boston, MA, USA
| | - Andrew M Kiselica
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
| | - Jared F Benge
- Department of Neurology, University of Texas at Austin, Austin, TX, USA
- Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, USA
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Lissaman R, Lancaster TM, Parker GD, Graham KS, Lawrence AD, Hodgetts CJ. Tract-specific differences in white matter microstructure between young adult APOE ε4 carriers and non-carriers: A replication and extension study. NEUROIMAGE. REPORTS 2022; 2:None. [PMID: 36507069 PMCID: PMC9726682 DOI: 10.1016/j.ynirp.2022.100126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 08/05/2022] [Accepted: 08/18/2022] [Indexed: 12/15/2022]
Abstract
The parahippocampal cingulum bundle (PHCB) interconnects regions known to be vulnerable to early Alzheimer's disease (AD) pathology, including posteromedial cortex and medial temporal lobe. While AD-related pathology has been robustly associated with alterations in PHCB microstructure, specifically lower fractional anisotropy (FA) and higher mean diffusivity (MD), emerging evidence indicates that the reverse pattern is evident in younger adults at increased risk of AD. In one such study, Hodgetts et al. (2019) reported that healthy young adult carriers of the apolipoprotein-E (APOE) ε4 allele - the strongest common genetic risk factor for AD - showed higher FA and lower MD in the PHCB but not the inferior longitudinal fasciculus (ILF). These results are consistent with proposals claiming that heightened neural activity and intrinsic connectivity play a significant role in increasing posteromedial cortex vulnerability to amyloid-β and tau spread beyond the medial temporal lobe. Given the implications for understanding AD risk, here we sought to replicate Hodgetts et al.'s finding in a larger sample (N = 128; 40 APOE ε4 carriers, 88 APOE ε4 non-carriers) of young adults (age range = 19-33). Extending this work, we also conducted an exploratory analysis using a more advanced measure of white matter microstructure: hindrance modulated orientational anisotropy (HMOA). Contrary to the original study, we did not observe higher FA or lower MD in the PHCB of APOE ε4 carriers relative to non-carriers. Bayes factors (BFs) further revealed moderate-to-strong evidence in support of these null findings. In addition, we observed no APOE ε4-related differences in PHCB HMOA. Our findings indicate that young adult APOE ε4 carriers and non-carriers do not differ in PHCB microstructure, casting some doubt on the notion that early-life variation in PHCB tract microstructure might enhance vulnerability to amyloid-β accumulation and/or tau spread.
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Affiliation(s)
- Rikki Lissaman
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- Douglas Research Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- School of Psychology, University of Bath, Bath, England, United Kingdom
| | - Greg D. Parker
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
| | - Kim S. Graham
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Andrew D. Lawrence
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
| | - Carl J. Hodgetts
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
- Department of Psychology, Royal Holloway, University of London, Egham, England, United Kingdom
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