Alan Rembach1, Andrew D Watt1, William J Wilson2, Victor L Villemagne3, Samantha C Burnham4, Kathryn A Ellis5, Paul Maruff6, David Ames7, Christopher C Rowe3, S Lance Macaulay8, Ashley I Bush1, Ralph N Martins9, Colin L Masters1, James D Doecke10. 1. The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, VIC, Australia. 2. CSIRO Mathematics, Informatics & Statistics, North Ryde, NSW, Australia. 3. Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia. 4. CSIRO Preventative Health Flagship: Mathematics, Informatics and Statistics, Perth, WA, Australia. 5. The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, VIC, Australia Department of Psychiatry, St. George's Hospital, University of Melbourne, VIC, Australia National Ageing Research Institute, Parkville, VIC, Australia. 6. The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, VIC, Australia CogState Ltd., Melbourne, VIC, Australia. 7. National Ageing Research Institute, Parkville, VIC, Australia. 8. CSIRO Molecular and Health Technologies, Preventative Health Flagship, Parkville, VIC, Australia. 9. Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital), Perth, WA, Australia. 10. CSIRO Mathematics, Informatics & Statistics, North Ryde, NSW, Australia CSIRO Molecular and Health Technologies, Preventative Health Flagship, Parkville, VIC, Australia The Australian E-Health Research Centre, Royal Brisbane and Women's Hospital, Herston, QLD, Australia.
Abstract
BACKGROUND: We evaluated the utility of longitudinal measures of plasma amyloid-β (Aβ) as a means to identify pre-symptomatic cognitive decline in Alzheimer's disease (AD) when coupled to neuroimaging and neuropsychological parameters. METHODS: Participants from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study were grouped based upon cognitive change and changes in measurable levels of neocortical amyloid over 36 months. Participants were classified as those who transitioned for cognitive decline and change in neocortical amyloid, those healthy controls that did not transition, and stable AD participants over 36 months. RESULTS: Comparisons of plasma Aβ levels between the transition and non-transitional groups showed Aβ1-42 and the Aβ1-42/Aβ1-40 ratio were significantly decreased at baseline (p = 0.008 and p = 0.002, respectively) and at 18 months (p = 0.003 and p = 0.004, respectively). Both measures of neocortical amyloid and two previously published composite scores validated the creation of the novel transitional grouping (p < 0.0001). In addition Aβn-42 performed well as a longitudinal prognostic indicator of transition toward cognitive decline, with a significant decrease in the transition group at the 18 month time point (p = 0.01). CONCLUSION: We demonstrated that baseline plasma Aβ1-42 and the Aβ1-42/Aβ1-40 ratio were putative biomarkers indicative of cognitive decline and validated this result using 18 month data. We created a novel transitional grouping and validated this measure using published measures of neocortical amyloid and composite memory scores. These findings suggest that longitudinal plasma Aβ could contribute to a pre-symptomatic biomarker panel for AD.
BACKGROUND: We evaluated the utility of longitudinal measures of plasma amyloid-β (Aβ) as a means to identify pre-symptomatic cognitive decline in Alzheimer's disease (AD) when coupled to neuroimaging and neuropsychological parameters. METHODS:Participants from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study were grouped based upon cognitive change and changes in measurable levels of neocortical amyloid over 36 months. Participants were classified as those who transitioned for cognitive decline and change in neocortical amyloid, those healthy controls that did not transition, and stable ADparticipants over 36 months. RESULTS: Comparisons of plasma Aβ levels between the transition and non-transitional groups showed Aβ1-42 and the Aβ1-42/Aβ1-40 ratio were significantly decreased at baseline (p = 0.008 and p = 0.002, respectively) and at 18 months (p = 0.003 and p = 0.004, respectively). Both measures of neocortical amyloid and two previously published composite scores validated the creation of the novel transitional grouping (p < 0.0001). In addition Aβn-42 performed well as a longitudinal prognostic indicator of transition toward cognitive decline, with a significant decrease in the transition group at the 18 month time point (p = 0.01). CONCLUSION: We demonstrated that baseline plasma Aβ1-42 and the Aβ1-42/Aβ1-40 ratio were putative biomarkers indicative of cognitive decline and validated this result using 18 month data. We created a novel transitional grouping and validated this measure using published measures of neocortical amyloid and composite memory scores. These findings suggest that longitudinal plasma Aβ could contribute to a pre-symptomatic biomarker panel for AD.
Authors: Yakeel T Quiroz; Aaron P Schultz; Kewei Chen; Hillary D Protas; Michael Brickhouse; Adam S Fleisher; Jessica B Langbaum; Pradeep Thiyyagura; Anne M Fagan; Aarti R Shah; Martha Muniz; Joseph F Arboleda-Velasquez; Claudia Munoz; Gloria Garcia; Natalia Acosta-Baena; Margarita Giraldo; Victoria Tirado; Dora L Ramírez; Pierre N Tariot; Bradford C Dickerson; Reisa A Sperling; Francisco Lopera; Eric M Reiman Journal: JAMA Neurol Date: 2015-08 Impact factor: 18.302
Authors: L Cheng; J D Doecke; R A Sharples; V L Villemagne; C J Fowler; A Rembach; R N Martins; C C Rowe; S L Macaulay; C L Masters; A F Hill Journal: Mol Psychiatry Date: 2014-10-28 Impact factor: 15.992
Authors: Alan Rembach; Francesco C Stingo; Christine Peterson; Marina Vannucci; Kim-Anh Do; William J Wilson; S Lance Macaulay; Timothy M Ryan; Ralph N Martins; David Ames; Colin L Masters; James D Doecke Journal: J Alzheimers Dis Date: 2015 Impact factor: 4.472
Authors: Virginia Pérez-Grijalba; Noelia Fandos; Jesús Canudas; Daniel Insua; Diego Casabona; Ana M Lacosta; María Montañés; Pedro Pesini; Manuel Sarasa Journal: J Alzheimers Dis Date: 2016-09-06 Impact factor: 4.472