Psychiatry - Research Publications

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    Trajectories of depressive and anxiety symptoms in older adults: a 6-year prospective cohort study
    Holmes, SE ; Esterlis, I ; Mazure, CM ; Lim, YY ; Ames, D ; Rainey-Smith, S ; Fowler, C ; Ellis, K ; Martins, RN ; Salvado, O ; Dore, V ; Villemagne, VL ; Rowe, CC ; Laws, SM ; Masters, CL ; Pietrzak, RH ; Maruff, P (WILEY, 2018-02)
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    Cerebrovascular disease, Alzheimer's disease biomarkers and longitudinal cognitive decline
    Yates, PA ; Villemagne, VL ; Ames, D ; Masters, CL ; Martins, RN ; Desmond, P ; Burnham, S ; Maruff, P ; Ellis, KA ; Rowe, CC (WILEY-BLACKWELL, 2016-06)
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    APOE and BDNF polymorphisms moderate amyloid β-related cognitive decline in preclinical Alzheimer's disease
    Lim, YY ; Villemagne, VL ; Laws, SM ; Pietrzak, RH ; Snyder, PJ ; Ames, D ; Ellis, KA ; Harrington, K ; Rembach, A ; Martins, RN ; Rowe, CC ; Masters, CL ; Maruff, P (NATURE PUBLISHING GROUP, 2015-11)
    Accumulation of β-amyloid (Aβ) in the brain is associated with memory decline in healthy individuals as a prelude to Alzheimer's disease (AD). Genetic factors may moderate this decline. We examined the role of apolipoprotein E (ɛ4 carrier[ɛ4(+)], ɛ4 non-carrier[ɛ4(-)]) and brain-derived neurotrophic factor (BDNF(Val/Val), BDNF(Met)) in the extent to which they moderate Aβ-related memory decline. Healthy adults (n=333, Mage=70 years) enrolled in the Australian Imaging, Biomarkers and Lifestyle study underwent Aβ neuroimaging. Neuropsychological assessments were conducted at baseline, 18-, 36- and 54-month follow-ups. Aβ positron emission tomography neuroimaging was used to classify participants as Aβ(-) or Aβ(+). Relative to Aβ(-)ɛ4(-), Aβ(+)ɛ4(+) individuals showed significantly faster rates of cognitive decline over 54 months across all domains (d=0.40-1.22), while Aβ(+)ɛ4(-) individuals showed significantly faster decline only on verbal episodic memory (EM). There were no differences in rates of cognitive change between Aβ(-)ɛ4(-) and Aβ(-)ɛ4(+) groups. Among Aβ(+) individuals, ɛ4(+)/BDNF(Met) participants showed a significantly faster rate of decline on verbal and visual EM, and language over 54 months compared with ɛ4(-)/BDNF(Val/Val) participants (d=0.90-1.02). At least two genetic loci affect the rate of Aβ-related cognitive decline. Aβ(+)ɛ4(+)/BDNF(Met) individuals can expect to show clinically significant memory impairment after 3 years, whereas Aβ(+)ɛ4(+)/BDNF(Val/Val) individuals can expect a similar degree of impairment after 10 years. Little decline over 54 months was observed in the Aβ(-) and Aβ(+) ɛ4(-) groups, irrespective of BDNF status. These data raise important prognostic issues in managing preclinical AD, and should be considered in designing secondary preventative clinical trials.
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    A 'Disease Severity Index' to identify individuals with Subjective Memory Decline who will progress to mild cognitive impairment or dementia
    Ferreira, D ; Falahati, F ; Linden, C ; Buckley, RF ; Ellis, KA ; Savage, G ; Villemagne, VL ; Rowe, CC ; Ames, D ; Simmons, A ; Westman, E (NATURE PORTFOLIO, 2017-03-13)
    Subjective memory decline (SMD) is a heterogeneous condition. While SMD might be the earliest sign of Alzheimer's disease (AD), it also occurs in aging and various neurological, medical, and psychiatric conditions. Identifying those with higher risk to develop dementia is thus a major challenge. We tested a novel disease severity index generated by multivariate data analysis with numerous structural MRI measures as input. The index was used to identify SMD individuals with high risk of progression to mild cognitive impairment (MCI) or AD. A total of 69 healthy controls, 86 SMD, 45 MCI, and 38 AD patients were included. Subjects were followed up for 7.5 years. Clinical, cognitive, PET amyloid imaging and APOE ε4 data were used as outcome variables. The results showed that SMD evidenced cognitive performance intermediate between healthy controls and MCI. The disease severity index identified eleven (13%) SMD individuals with an AD-like pattern of brain atrophy. These individuals showed lower cognitive performance, increased CDR-SOB, higher amyloid burden and worse clinical progression (6.2 times higher likelihood to develop MCI, dementia or die than healthy controls). The current disease severity index may have relevance for clinical practice, as well as for selecting appropriate individuals for clinical trials.
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    Influence of BDNF Val66Met on the relationship between physical activity and brain volume
    Brown, BM ; Bourgeat, P ; Peiffer, JJ ; Burnham, S ; Laws, SM ; Rainey-Smith, SR ; Bartres-Faz, D ; Villemagne, VL ; Taddei, K ; Rembach, A ; Bush, A ; Ellis, KA ; Macaulay, SL ; Rowe, CC ; Ames, D ; Masters, CL ; Maruff, P ; Martins, RN (LIPPINCOTT WILLIAMS & WILKINS, 2014-10-07)
    OBJECTIVE: To investigate the association between habitual physical activity levels and brain temporal lobe volumes, and the interaction with the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism. METHODS: This study is a cross-sectional analysis of 114 cognitively healthy men and women aged 60 years and older. Brain volumes quantified by MRI were correlated with self-reported physical activity levels. The effect of the interaction between physical activity and the BDNF Val66Met polymorphism on brain structure volumes was assessed. Post hoc analyses were completed to evaluate the influence of the APOE ε4 allele on any found associations. RESULTS: The BDNF Val66Met polymorphism interacted with physical activity to be associated with hippocampal (β = -0.22, p = 0.02) and temporal lobe (β = -0.28, p = 0.003) volumes. In Val/Val homozygotes, higher levels of physical activity were associated with larger hippocampal and temporal lobe volumes, whereas in Met carriers, higher levels of physical activity were associated with smaller temporal lobe volume. CONCLUSION: The findings from this study support higher physical activity levels in the potential attenuation of age- and disease-related hippocampal and temporal lobe volume loss in Val/Val homozygotes.
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    A plasma protein classifier for predicting amyloid burden for preclinical Alzheimer's disease
    Ashton, NJ ; Nevado-Holgado, AJ ; Barber, IS ; Lynham, S ; Gupta, V ; Chatterjee, P ; Goozee, K ; Hone, E ; Pedrini, S ; Blennow, K ; Scholl, M ; Zetterber, H ; Ellis, KA ; Bush, A ; Rowe, CC ; Villemagne, VL ; Ames, D ; Masters, CL ; Aarsland, D ; Powell, J ; Lovestone, S ; Martins, R ; Hye, A (AMER ASSOC ADVANCEMENT SCIENCE, 2019-02)
    A blood-based assessment of preclinical disease would have huge potential in the enrichment of participants for Alzheimer's disease (AD) therapeutic trials. In this study, cognitively unimpaired individuals from the AIBL and KARVIAH cohorts were defined as Aβ negative or Aβ positive by positron emission tomography. Nontargeted proteomic analysis that incorporated peptide fractionation and high-resolution mass spectrometry quantified relative protein abundances in plasma samples from all participants. A protein classifier model was trained to predict Aβ-positive participants using feature selection and machine learning in AIBL and independently assessed in KARVIAH. A 12-feature model for predicting Aβ-positive participants was established and demonstrated high accuracy (testing area under the receiver operator characteristic curve = 0.891, sensitivity = 0.78, and specificity = 0.77). This extensive plasma proteomic study has unbiasedly highlighted putative and novel candidates for AD pathology that should be further validated with automated methodologies.
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    Alzheimer's Disease: A Journey from Amyloid Peptides and Oxidative Stress, to Biomarker Technologies and Disease Prevention Strategies-Gains from AIBL and DIAN Cohort Studies
    Martins, RN ; Villemagnen, V ; Sohrabi, HR ; Chatterjee, P ; Shah, TM ; Verdile, G ; Fraser, P ; Taddei, K ; Gupta, VB ; Rainey-Smith, SR ; Hone, E ; Pedrini, S ; Lim, WL ; Martins, I ; Frost, S ; Gupta, S ; O'Bryant, S ; Rembach, A ; Ames, D ; Ellis, K ; Fuller, SJ ; Brown, B ; Gardener, SL ; Fernando, B ; Bharadwaj, P ; Burnham, S ; Laws, SM ; Barron, AM ; Goozee, K ; Wahjoepramono, EJ ; Asih, PR ; Doecke, JD ; Salvado, O ; Bush, AI ; Rowe, CC ; Gandy, SE ; Masters, CL ; Perry, G ; Avila, J ; Tabaton, M ; Zhu, X (IOS PRESS, 2018)
    Worldwide there are over 46 million people living with dementia, and this number is expected to double every 20 years reaching about 131 million by 2050. The cost to the community and government health systems, as well as the stress on families and carers is incalculable. Over three decades of research into this disease have been undertaken by several research groups in Australia, including work by our original research group in Western Australia which was involved in the discovery and sequencing of the amyloid-β peptide (also known as Aβ or A4 peptide) extracted from cerebral amyloid plaques. This review discusses the journey from the discovery of the Aβ peptide in Alzheimer's disease (AD) brain to the establishment of pre-clinical AD using PET amyloid tracers, a method now serving as the gold standard for developing peripheral diagnostic approaches in the blood and the eye. The latter developments for early diagnosis have been largely achieved through the establishment of the Australian Imaging Biomarker and Lifestyle research group that has followed 1,100 Australians for 11 years. AIBL has also been instrumental in providing insight into the role of the major genetic risk factor apolipoprotein E ɛ4, as well as better understanding the role of lifestyle factors particularly diet, physical activity and sleep to cognitive decline and the accumulation of cerebral Aβ.
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    Concordance Between Cerebrospinal Fluid Biomarkers with Alzheimer's Disease Pathology Between Three Independent Assay Platforms
    Doecke, JD ; Rembach, A ; Villemagne, VL ; Varghese, S ; Rainey-Smith, S ; Sarros, S ; Evered, LA ; Fowler, CJ ; Pertile, KK ; Rumble, RL ; Trounson, B ; Taddei, K ; Laws, SM ; Macaulay, SL ; Bush, AI ; Ellis, KA ; Martins, R ; Ames, D ; Silbert, B ; Vanderstichele, H ; Masters, CL ; Darby, DG ; Li, Q-X ; Collins, S ; Kuiperij, HB (IOS PRESS, 2018)
    BACKGROUND: To enhance the accuracy of clinical diagnosis for Alzheimer's disease (AD), pre-mortem biomarkers have become increasingly important for diagnosis and for participant recruitment in disease-specific treatment trials. Cerebrospinal fluid (CSF) biomarkers provide a low-cost alternative to positron emission tomography (PET) imaging for in vivo quantification of different AD pathological hallmarks in the brains of affected subjects; however, consensus around the best platform, most informative biomarker and correlations across different methodologies are controversial. OBJECTIVE: Assessing levels of Aβ-amyloid and tau species determined using three different versions of immunoassays, the current study explored the ability of CSF biomarkers to predict PET Aβ-amyloid (32 Aβ-amyloid-and 45 Aβ-amyloid+), as well as concordance between CSF biomarker levels and PET Aβ-amyloid imaging. METHODS: Prediction and concordance analyses were performed using a sub-cohort of 77 individuals (48 healthy controls, 15 with mild cognitive impairment, and 14 with AD) from the Australian Imaging Biomarker and Lifestyle study of aging. RESULTS: Across all three platforms, the T-tau/Aβ42 ratio biomarker had modestly higher correlation with SUVR/BeCKeT (ρ= 0.69-0.8) as compared with Aβ42 alone (ρ= 0.66-0.75). Differences in CSF biomarker levels between the PET Aβ-amyloid-and Aβ-amyloid+ groups were strongest for the Aβ42/Aβ40 and T-tau/Aβ42 ratios (p < 0.0001); however, comparison of predictive models for PET Aβ-amyloid showed no difference between Aβ42 alone and the T-tau/Aβ42 ratio. CONCLUSION: This study confirms strong concordance between CSF biomarkers and PET Aβ-amyloid status is independent of immunoassay platform, supporting their utility as biomarkers in clinical practice for the diagnosis of AD and for participant enrichment in clinical trials.
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    Cerebral microbleeds: review of clinical, genetic, and neuroimaging associations
    Yates, PA ; Villemagne, VL ; Ellis, KA ; Desmond, PM ; Masters, CL ; Rowe, CC (FRONTIERS MEDIA SA, 2014)
    Cerebral microbleeds (microbleeds) are small, punctuate hypointense lesions seen in T2* Gradient-Recall Echo (GRE) and Susceptibility-Weighted (SWI) Magnetic Resonance Imaging (MRI) sequences, corresponding to areas of hemosiderin breakdown products from prior microscopic hemorrhages. They occur in the setting of impaired small vessel integrity, commonly due to either hypertensive vasculopathy or cerebral amyloid angiopathy. Microbleeds are more prevalent in individuals with Alzheimer's disease (AD) dementia and in those with both ischemic and hemorrhagic stroke. However they are also found in asymptomatic individuals, with increasing prevalence with age, particularly in carriers of the Apolipoprotein (APOE) ε4 allele. Other neuroimaging findings that have been linked with microbleeds include lacunar infarcts and white matter hyperintensities on MRI, and increased cerebral β-amyloid burden using (11)C-PiB Positron Emission Tomography. The presence of microbleeds has been suggested to confer increased risk of incident intracerebral hemorrhage - particularly in the setting of anticoagulation - and of complications of immunotherapy for AD. Prospective data regarding the natural history and sequelae of microbleeds are currently limited, however there is a growing evidence base that will serve to inform clinical decision-making in the future.
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    Decline in Cognitive Function over 18 Months in Healthy Older Adults with High Amyloid-β
    Ellis, KA ; Lim, YY ; Harrington, K ; Ames, D ; Bush, AI ; Darby, D ; Martins, RN ; Masters, CL ; Rowe, CC ; Savage, G ; Szoeke, C ; Villemagne, VL ; Maruff, P (IOS PRESS, 2013)
    We aimed to characterize the nature and magnitude of cognitive decline in a group of healthy older adults with high and low levels of amyloid-β (Aβ) and who were APOE ε4 carriers and non-carriers. Healthy older adults underwent positron emission tomography neuroimaging for Aβ, APOE genotyping, and cognitive and clinical assessment as part of their baseline assessment in the Australian Imaging, Biomarker, and Lifestyle study. Cognitive function and clinical ratings were reassessed 18 months later. Linear mixed model analyses adjusted for baseline cognitive function indicated that relative to healthy older adults with low Aβ, healthy older adults with high Aβ showed greater decline in episodic memory and language at 18 months. No decline on any measure of executive function, attention, or clinical rating was observed for healthy older adults with high Aβ levels. Compared to non-carriers, APOE ε4 carriers showed a greater decline only on the task of visual memory at the 18 month assessment. Importantly though, no interaction between APOE ε4 and Aβ was observed on any measure of cognitive function. The results of this study suggest that high Aβ load was associated with greater decline in episodic memory and language, that the magnitude of this decline was moderate and equivalent across both domains, and that APOE ε4 carriage did not moderate the relationship between Aβ and decline in memory and language functions.