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Rosenich E, Bransby L, Yassi N, Fripp J, Laws SM, Martins RN, Fowler C, Rainey-Smith SR, Rowe CC, Masters CL, Maruff P, Lim YY. Differential Effects of APOE and Modifiable Risk Factors on Hippocampal Volume Loss and Memory Decline in Aβ- and Aβ+ Older Adults. Neurology 2022; 98:e1704-e1715. [PMID: 35169009 PMCID: PMC9071368 DOI: 10.1212/wnl.0000000000200118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 01/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES This prospective study sought to determine the association of modifiable/nonmodifiable components included in the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score with hippocampal volume (HV) loss and episodic memory (EM) decline in cognitively normal (CN) older adults classified as brain β-amyloid (Aβ) negative (Aβ-) or positive (Aβ+). METHODS Australian Imaging, Biomarkers and Lifestyle study participants (age 58-91 years) who completed ≥2 neuropsychological assessments and a brain Aβ PET scan (n = 592) were included in this study. We computed the CAIDE risk score (age, sex, APOE ε4 status, education, hypertension, body mass index [BMI], hypercholesterolemia, physical inactivity) and a modifiable CAIDE risk score (CAIDE-MR; education, hypertension, BMI, hypercholesterolemia, physical inactivity) for each participant. Aβ+ was classified using Centiloid >25. Linear mixed models assessed interactions between each CAIDE score, Aβ group, and time on HV loss and EM decline. Age, sex, and APOE ε4 were included as separate predictors in CAIDE-MR models to assess differential associations. Exploratory analyses examined relationships between individual modifiable risk factors and outcomes in Aβ- cognitively normal (CN) adults. RESULTS We observed a significant Aβ group × CAIDE × time interaction on HV loss (β [SE] = -0.04 [0.01]; p < 0.000) but not EM decline (β [SE] = -2.33 [9.96]; p = 0.98). Decomposition revealed a significant CAIDE × time interaction in Aβ+ participants only. When modifiable/nonmodifiable CAIDE components were considered separately, we observed a significant Aβ group × CAIDE-MR × time interaction on EM decline only (β [SE] = 3.03 [1.18]; p = 0.01). A significant CAIDE-MR score × time interaction was observed in Aβ- participants only. Significant interactions between APOE ε4 and age × time on HV loss and EM decline were observed in both groups. Exploratory analyses in Aβ- CN participants revealed a significant interaction between BMI × time on EM decline (β [SE] = -3.30 [1.43]; p = 0.02). DISCUSSION These results are consistent with studies showing that increasing age and APOE ε4 are associated with increased rates of HV loss and EM decline. In Aβ- CN adults, lower prevalence of modifiable cardiovascular risk factors was associated with less HV loss and EM decline over ∼10 years, suggesting interventions to reduce modifiable cardiovascular risk factors could be beneficial in this group.
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Affiliation(s)
- Emily Rosenich
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Lisa Bransby
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Nawaf Yassi
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Jurgen Fripp
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Simon M Laws
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Ralph N Martins
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Christopher Fowler
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Stephanie R Rainey-Smith
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Christopher C Rowe
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Colin L Masters
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Paul Maruff
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Yen Ying Lim
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
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Bi XA, Xing Z, Zhou W, Li L, Xu L. Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest with Brain Imaging and Genetic Data. IEEE J Biomed Health Inform 2022; 26:3068-3079. [PMID: 35157601 DOI: 10.1109/jbhi.2022.3151084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Medical imaging technology and gene sequencing technology have long been widely used to analyze the pathogenesis and make precise diagnoses of mild cognitive impairment (MCI). However, few studies involve the fusion of radiomics data with genomics data to make full use of the complementarity between different omics to detect pathogenic factors of MCI. This paper performs multimodal fusion analysis based on functional magnetic resonance imaging (fMRI) data and single nucleotide polymorphism (SNP) data of MCI patients. In specific, first, using correlation analysis methods on sequence information of regions of interests (ROIs) and digitalized gene sequences, the fusion features of samples are constructed. Then, introducing weighted evolution strategy into ensemble learning, a novel weighted evolutionary random forest (WERF) model is built to eliminate the inefficient features. Consequently, with the help of WERF, an overall multimodal data analysis framework is established to effectively identify MCI patients and extract pathogenic factors. Based on the data of MCI patients from the ADNI database and compared with some existing popular methods, the superiority in performance of the framework is verified. Our study has great potential to be an effective tool for pathogenic factors detection of MCI.
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Sexton CE, Anstey KJ, Baldacci F, Barnum CJ, Barron AM, Blennow K, Brodaty H, Burnham S, Elahi FM, Götz J, Jeon YH, Koronyo-Hamaoui M, Landau SM, Lautenschlager NT, Laws SM, Lipnicki DM, Lu H, Masters CL, Moyle W, Nakamura A, Pasinetti GM, Rao N, Rowe C, Sachdev PS, Schofield PR, Sigurdsson EM, Smith K, Srikanth V, Szoeke C, Tansey MG, Whitmer R, Wilcock D, Wong TY, Bain LJ, Carrillo MC. Alzheimer's disease research progress in Australia: The Alzheimer's Association International Conference Satellite Symposium in Sydney. Alzheimers Dement 2022; 18:178-190. [PMID: 34058063 PMCID: PMC9396711 DOI: 10.1002/alz.12380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 01/03/2023]
Abstract
The Alzheimer's Association International Conference held its sixth Satellite Symposium in Sydney, Australia in 2019, highlighting the leadership of Australian researchers in advancing the understanding of and treatment developments for Alzheimer's disease (AD) and other dementias. This leadership includes the Australian Imaging, Biomarker, and Lifestyle Flagship Study of Ageing (AIBL), which has fueled the identification and development of many biomarkers and novel therapeutics. Two multimodal lifestyle intervention studies have been launched in Australia; and Australian researchers have played leadership roles in other global studies in diverse populations. Australian researchers have also played an instrumental role in efforts to understand mechanisms underlying vascular contributions to cognitive impairment and dementia; and through the Women's Healthy Aging Project have elucidated hormonal and other factors that contribute to the increased risk of AD in women. Alleviating the behavioral and psychological symptoms of dementia has also been a strong research and clinical focus in Australia.
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Affiliation(s)
| | - Kaarin J. Anstey
- University of New South Wales and Neuroscience Research, Sydney, NSW, Australia
| | - Filippo Baldacci
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
- GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | | | - Anna M. Barron
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Samantha Burnham
- CSIRO Health & Biosecurity, The Australian e-Health Research Centre, Parkville, VIC, Australia
| | - Fanny M. Elahi
- Memory and Aging Center, Weill Institute for NeurosciencesUniversity of California San Francisco, San Francisco, California, USA
| | - Jürgen Götz
- Clem Jones Centre for Ageing Dementia Research (CJCADR), Queensland Brain Institute (QBI), The University of Queensland, St Lucia Campus (Brisbane), Brisbane, QLD, Australia
| | - Yun-Hee Jeon
- The University of Sydney, Sydney, NSW, Australia
| | - Maya Koronyo-Hamaoui
- Departments of Neurosurgery and Biomedical Sciences, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Susan M. Landau
- University of California Berkeley, Berkeley, California, USA
| | - Nicola T. Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- North Western Mental Health, Royal Melbourne Hospital, Melbourne, Australia
| | - Simon M. Laws
- Collaborative Genomics and Translation Group, Edith Cowan University, Joondalup, WA, Australia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Wendy Moyle
- Menzies Health Institute Queensland, Griffith University, Griffith, QLD, Australia
| | - Akinori Nakamura
- Department of Biomarker Research, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Giulio Maria Pasinetti
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISSMS), New York, New York, USA
| | - Naren Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Christopher Rowe
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Molecular Imaging, Austin Health, Melbourne, VIC, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney and School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Einar M. Sigurdsson
- Departments of Neuroscience and Physiology, and Psychiatry, Neuroscience Institute, New York University Grossman School of Medicine, New York, New York, USA
| | - Kate Smith
- Centre for Aboriginal Medical and Dental Health, University of Western Australia, Crawley, WA, Australia
| | - Velandai Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | | | - Malú G. Tansey
- Departments of Neuroscience and Neurology, Center for Translational Research in Neurodegenerative Disease, Normal Fixel Center for Neurological Diseases, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Rachel Whitmer
- Department of Public Health Sciences, University of California, Davis, Davis, California, USA
| | - Donna Wilcock
- Sanders-Brown Center on Aging and Department of Physiology, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Tien Y. Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Lisa J. Bain
- Independent Science Writer, Elverson, Pennsylvania, USA
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Brown BM, Frost N, Rainey-Smith SR, Doecke J, Markovic S, Gordon N, Weinborn M, Sohrabi HR, Laws SM, Martins RN, Erickson KI, Peiffer JJ. High-intensity exercise and cognitive function in cognitively normal older adults: a pilot randomised clinical trial. Alzheimers Res Ther 2021; 13:33. [PMID: 33522961 PMCID: PMC7849126 DOI: 10.1186/s13195-021-00774-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 01/15/2021] [Indexed: 01/20/2023]
Abstract
BACKGROUND Physical inactivity has been consistently linked to increased risk of cognitive decline; however, studies examining the impact of exercise interventions on cognition have produced inconsistent findings. Some observational studies suggest exercise intensity may be important for inducing cognitive improvements; however, this has yet to be thoroughly examined in older adult cohorts. The objective of the current study was to evaluate the effect of systematically manipulated high-intensity and moderate-intensity exercise interventions on cognition. METHODS This multi-arm pilot randomised clinical trial investigated the effects of 6 months of high-intensity exercise and moderate-intensity exercise, compared with an inactive control, on cognition. Outcome measures were assessed at pre- (baseline), post- (6 months), and 12 months post-intervention. Ninety-nine cognitively normal men and women (aged 60-80 years) were enrolled from October 2016 to November 2017. Participants that were allocated to an exercise group (i.e. high-intensity or moderate-intensity) engaged in cycle-based exercise two times per week for 6 months. Cognition was assessed using a comprehensive neuropsychological test battery. Cardiorespiratory fitness was evaluated by a graded exercise test. RESULTS There was a dose-dependent effect of exercise intensity on cardiorespiratory fitness, whereby the high-intensity group experienced greater increases in fitness than the moderate-intensity and control groups. However, there was no direct effect of exercise on cognition. CONCLUSIONS We did not observe a direct effect of exercise on cognition. Future work in this field should be appropriately designed and powered to examine factors that may contribute to individual variability in response to intervention. TRIAL REGISTRATION This study is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12617000643370). Registered on 3 May 2017-retrospectively registered. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372780.
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Affiliation(s)
- Belinda M Brown
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia.
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia.
- Centre for Healthy Ageing, Murdoch University, Murdoch, Western Australia, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
| | - Natalie Frost
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - Stephanie R Rainey-Smith
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
- Centre for Healthy Ageing, Murdoch University, Murdoch, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - James Doecke
- Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Shaun Markovic
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
| | - Nicole Gordon
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
| | - Michael Weinborn
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
- Centre for Healthy Ageing, Murdoch University, Murdoch, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Simon M Laws
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Ralph N Martins
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Kirk I Erickson
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jeremiah J Peiffer
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
- Centre for Healthy Ageing, Murdoch University, Murdoch, Western Australia, Australia
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5
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Zhou X, Li YYT, Fu AKY, Ip NY. Polygenic Score Models for Alzheimer's Disease: From Research to Clinical Applications. Front Neurosci 2021; 15:650220. [PMID: 33854414 PMCID: PMC8039467 DOI: 10.3389/fnins.2021.650220] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/09/2021] [Indexed: 12/13/2022] Open
Abstract
The high prevalence of Alzheimer's disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health. Recent epidemiological and genetics studies have revealed the polygenic nature of the disease, which is possibly explainable by a polygenic score model that considers multiple genetic risks. Here, we systemically review the rationale and methods used to construct polygenic score models for studying AD. We also discuss the associations of polygenic risk scores (PRSs) with clinical outcomes, brain imaging findings, and biochemical biomarkers from both the brain and peripheral system. Finally, we discuss the possibility of incorporating polygenic score models into research and clinical practice along with potential challenges.
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Affiliation(s)
- Xiaopu Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, China
| | - Yolanda Y. T. Li
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Amy K. Y. Fu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, China
| | - Nancy Y. Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, China
- *Correspondence: Nancy Y. Ip,
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6
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Lim YY, Laws SM, Perin S, Pietrzak RH, Fowler C, Masters CL, Maruff P. BDNF VAL66MET polymorphism and memory decline across the spectrum of Alzheimer's disease. GENES BRAIN AND BEHAVIOR 2020; 20:e12724. [PMID: 33369083 DOI: 10.1111/gbb.12724] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/07/2020] [Accepted: 12/20/2020] [Indexed: 12/29/2022]
Abstract
The brain-derived neurotrophic factor (BDNF) Val66Met (rs6265) polymorphism has been shown to moderate the extent to which memory decline manifests in preclinical Alzheimer's disease (AD). To date, no study has examined the relationship between BDNF and memory in individuals across biologically confirmed AD clinical stages (i.e., Aβ+). We aimed to understand the effect of BDNF on episodic memory decline and clinical disease progression over 126 months in individuals with preclinical, prodromal and clinical AD. Participants enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study who were Aβ + (according to positron emission tomography), and cognitively normal (CN; n = 238), classified as having mild cognitive impairment (MCI; n = 80), or AD (n = 66) were included in this study. Cognition was evaluated at 18 month intervals using an established episodic memory composite score over 126 months. We observed that in Aβ + CNs, Met66 was associated with greater memory decline with increasing age and were 1.5 times more likely to progress to MCI/AD over 126 months. In Aβ + MCIs, there was no effect of Met66 on memory decline or on disease progression to AD over 126 months. In Aβ + AD, Val66 homozygotes showed greater memory decline, while Met66 carriers performed at a constant and very impaired level. Our current results illustrate the importance of time and disease severity to clinicopathological models of the role of BDNF Val66Met in memory decline and AD clinical progression. Specifically, the effect of BDNF on memory decline is greatest in preclinical AD and reduces as AD clinical disease severity increases.
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Affiliation(s)
- Yen Ying Lim
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia
| | - Simon M Laws
- Collaborative Genomics and Translation Group, Strategic Research Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Australia
| | - Stephanie Perin
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Australia
| | - Robert H Pietrzak
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Christopher Fowler
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia.,Cogstate Ltd, Melbourne, Australia
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7
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Khan S, Barve KH, Kumar MS. Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer's Disease. Curr Neuropharmacol 2020; 18:1106-1125. [PMID: 32484110 PMCID: PMC7709159 DOI: 10.2174/1570159x18666200528142429] [Citation(s) in RCA: 262] [Impact Index Per Article: 65.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 05/06/2020] [Accepted: 05/25/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The only conclusive way to diagnose Alzheimer's is to carry out brain autopsy of the patient's brain tissue and ascertain whether the subject had Alzheimer's or any other form of dementia. However, due to the non-feasibility of such methods, to diagnose and conclude the conditions, medical practitioners use tests that examine a patient's mental ability. OBJECTIVE Accurate diagnosis at an early stage is the need of the hour for initiation of therapy. The cause for most Alzheimer's cases still remains unknown except where genetic distinctions have been observed. Thus, a standard drug regimen ensues in every Alzheimer's patient, irrespective of the cause, which may not always be beneficial in halting or reversing the disease progression. To provide a better life to such patients by suppressing existing symptoms, early diagnosis, curative therapy, site-specific delivery of drugs, and application of hyphenated methods like artificial intelligence need to be brought into the main field of Alzheimer's therapeutics. METHODS In this review, we have compiled existing hypotheses to explain the cause of the disease, and highlighted gene therapy, immunotherapy, peptidomimetics, metal chelators, probiotics and quantum dots as advancements in the existing strategies to manage Alzheimer's. CONCLUSION Biomarkers, brain-imaging, and theranostics, along with artificial intelligence, are understood to be the future of the management of Alzheimer's.
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Affiliation(s)
- Sahil Khan
- SVKM’S NMIMS, Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, V.L. Mehta Road, Vile Parle West, Mumbai-400056, India
| | - Kalyani H. Barve
- SVKM’S NMIMS, Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, V.L. Mehta Road, Vile Parle West, Mumbai-400056, India
| | - Maushmi S. Kumar
- SVKM’S NMIMS, Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, V.L. Mehta Road, Vile Parle West, Mumbai-400056, India
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8
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Validation of a priori candidate Alzheimer's disease SNPs with brain amyloid-beta deposition. Sci Rep 2019; 9:17069. [PMID: 31745181 PMCID: PMC6863876 DOI: 10.1038/s41598-019-53604-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 11/04/2019] [Indexed: 12/14/2022] Open
Abstract
The accumulation of brain amyloid β (Aβ) is one of the main pathological hallmarks of Alzheimer’s disease (AD). However, the role of brain amyloid deposition in the development of AD and the genetic variants associated with this process remain unclear. In this study, we sought to identify associations between Aβ deposition and an a priori evidence based set of 1610 genetic markers, genotyped from 505 unrelated individuals (258 Aβ+ and 247 Aβ−) enrolled in the Australian Imaging, Biomarker & Lifestyle (AIBL) study. We found statistically significant associations for 6 markers located within intronic regions of 6 genes, including AC103796.1-BDNF, PPP3R1, NGFR, KL, ABCA7 & CALHM1. Although functional studies are required to elucidate the role of these genes in the accumulation of Aβ and their potential implication in AD pathophysiology, our findings are consistent with results obtained in previous GWAS efforts.
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9
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Twelve weeks of resistance training does not influence peripheral levels of neurotrophic growth factors or homocysteine in healthy adults: a randomized-controlled trial. Eur J Appl Physiol 2019; 119:2167-2176. [PMID: 31372803 DOI: 10.1007/s00421-019-04202-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 07/29/2019] [Indexed: 12/15/2022]
Abstract
INTRODUCTION There is growing evidence for a preventative effect of resistance training on cognitive decline through physiological mechanisms; yet, the effect of resistance training on resting growth factors and homocysteine levels is incompletely understood. This study aimed to investigate the effect of intense resistance training, for 12 weeks, on changes in peripheral growth factors and homocysteine in late middle-aged adults. METHODS 45 healthy adults were enrolled into the single-site parallel groups' randomized-controlled trial conducted at the Department of Exercise Science, Strength and Conditioning Laboratory, Murdoch University. Participants were allocated to the following conditions: (1) high-load resistance training (n = 14), or (2) moderate-load resistance training (n = 15) twice per week for 12 weeks; or (3) non-exercising control group (n = 16). Data were collected from September 2016 to December 2017. Fasted blood samples were collected at baseline and within 7 days of trial completion for the analysis of resting serum brain-derived neurotrophic factor (BDNF), insulin-like growth factor 1, vascular endothelial growth factor, and plasma homocysteine levels. RESULTS No differences in baseline to post-intervention change in serum growth factors or plasma homocysteine levels were observed between groups. A medium effect was calculated for BDNF change within the high-load condition alone (+ 12.9%, g = 0.54). CONCLUSIONS High-load or moderate-load resistance training twice per week for 12 weeks has no effect on peripheral growth factors or homocysteine in healthy late middle-aged adults. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry: ACTRN12616000690459.
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10
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Porter T, Burnham SC, Savage G, Lim YY, Maruff P, Milicic L, Peretti M, Ames D, Masters CL, Martins RN, Rainey-Smith S, Rowe CC, Salvado O, Taddei K, Groth D, Verdile G, Villemagne VL, Laws SM. A Polygenic Risk Score Derived From Episodic Memory Weighted Genetic Variants Is Associated With Cognitive Decline in Preclinical Alzheimer's Disease. Front Aging Neurosci 2018; 10:423. [PMID: 30620773 PMCID: PMC6305908 DOI: 10.3389/fnagi.2018.00423] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/06/2018] [Indexed: 01/29/2023] Open
Abstract
Studies of Alzheimer’s disease risk-weighted polygenic risk scores (PRSs) for cognitive performance have reported inconsistent associations. This inconsistency is particularly evident when PRSs are assessed independent of APOE genotype. As such, the development and assessment of phenotype-specific weightings to derive PRSs for cognitive decline in preclinical AD is warranted. To this end a episodic memory-weighted PRS (emPRS) was derived and assessed against decline in cognitive performance in 226 healthy cognitively normal older adults with high brain Aβ-amyloid burden participants from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study. The effect size for decline in a verbal episodic memory was determined individually for 27 genetic variants in a reference sample (n = 151). These were then summed to generate a emPRS either including APOE (emPRSc¯APOE) or excluding APOE (emPRSs¯APOE). Resultant emPRS were then evaluated, in a test sample (n = 75), against decline in global cognition, verbal episodic memory and a pre-Alzheimer’s cognitive composite (AIBL-PACC) over 7.5 years. The mean (SD) age of the 226 participants was 72.2 (6.6) years and 116 (51.3%) were female. Reference and test samples did not differ significantly demographically. Whilst no association of emPRSs were observed with baseline cognition, the emPRSc¯APOE was associated with longitudinal global cognition (-0.237, P = 0.0002), verbal episodic memory (-0.259, P = 0.00003) and the AIBL-PACC (-0.381, P = 0.02). The emPRSs¯APOE was also associated with global cognition (-0.169, P = 0.021) and verbal episodic memory (-0.208, P = 0.004). Stratification by APOE ε4 revealed that the association between the emPRS and verbal episodic memory was limited to carriage of no ε4 or one ε4 allele. This was also observed for global cognition. The emPRS and rates of decline in AIBL-PACC were associated in those carrying one ε4 allele. Overall, the described novel emPRS has utility for the prediction of decline in cognition in preclinical AD. This study provides evidence to support the further use and evaluation of phenotype weightings in PRS development.
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Affiliation(s)
- Tenielle Porter
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia
| | - Samantha C Burnham
- CSIRO Health and Biosecurity, Parkville, VIC, Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Greg Savage
- ARC Centre of Excellence in Cognition and its Disorders, Department of Psychology, Macquarie University, North Ryde, NSW, Australia
| | - Yen Ying Lim
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.,CogState Ltd., Melbourne, VIC, Australia
| | - Lidija Milicic
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia
| | - Madeline Peretti
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, St. Vincent's Health, The University of Melbourne, Kew, VIC, Australia.,National Ageing Research Institute, Parkville, VIC, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Stephanie Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
| | | | - Kevin Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - David Groth
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Giuseppe Verdile
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Victor L Villemagne
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
| | - Simon M Laws
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
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