1,670 results on '"Ames, D"'
Search Results
202. Geology, alteration and mineralization of the Onaping Formation, Simmons Lake area, Dowling Township, Sudbury Structure, Ontario
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Ames, D E, primary
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- 2004
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203. Geology, alteration and mineralization of the Onaping Formation, Joe Lake area, Wisner Township, Sudbury Structure, Ontario
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Ames, D E, primary
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- 2004
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204. Geology, alteration and mineralization of the Onaping Formation, Morgan Township, Sudbury Structure, Ontario
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Ames, D E, primary and Gibson, H L, additional
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- 2004
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205. Sudbury Ni-Cu-PGE ore mineralogy compilation: Sudbury Targeted Geoscience Initiative (TGI)
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Ames, D E, primary, Kjarsgaard, I M, additional, and Douma, S L, additional
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- 2003
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206. Structural study of Sudbury breccia and sulphide veins, Levack embayment, North Range of the Sudbury structure, Ontario
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Legault, D, primary, Lafrance, B, additional, and Ames, D E, additional
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- 2003
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207. Preliminary results of the Flin Flon Targeted Geoscience Initiative, Saskatchewan and Manitoba
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Galley, A, primary, Bailes, A, additional, Gibson, H, additional, Tourgny, G, additional, Ames, D, additional, Devine, C, additional, Gale, G, additional, Jonasson, I, additional, Mitchinson, D, additional, Syme, R, additional, Tardif, N, additional, and Taylor, B, additional
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- 2002
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208. Evidence for recycled Mesoarchean crust in the Ruttan arc succession, Rusty Lake belt, Trans-Hudson Orogen, Manitoba: U-Pb isotopic data; Radiogenic Age and Isotopic Studies: Report 15
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Ames, D E, primary, Van Breemen, O, additional, and Scoates, J S, additional
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- 2002
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209. A blood-based biomarker panel indicates IL-10 and IL-12/23p40 are jointly associated as predictors of β-amyloid load in an AD cohort
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Pedrini, S., Gupta, V.B., Hone, E., Doecke, J., O’Bryant, S., James, I., Bush, A.I., Rowe, C.C., Villemagne, V.L., Ames, D., Masters, C.L., Martins, R.N., Pedrini, S., Gupta, V.B., Hone, E., Doecke, J., O’Bryant, S., James, I., Bush, A.I., Rowe, C.C., Villemagne, V.L., Ames, D., Masters, C.L., and Martins, R.N.
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Alzheimer’s Disease (AD) is the most common form of dementia, characterised by extracellular amyloid deposition as plaques and intracellular neurofibrillary tangles of tau protein. As no current clinical test can diagnose individuals at risk of developing AD, the aim of this project is to evaluate a blood-based biomarker panel to identify individuals who carry this risk. We analysed the levels of 22 biomarkers in clinically classified healthy controls (HC), mild cognitive impairment (MCI) and Alzheimer’s participants from the well characterised Australian Imaging, Biomarker and Lifestyle (AIBL) study of aging. High levels of IL-10 and IL-12/23p40 were significantly associated with amyloid deposition in HC, suggesting that these two biomarkers might be used to detect at risk individuals. Additionally, other biomarkers (Eotaxin-3, Leptin, PYY) exhibited altered levels in AD participants possessing the APOE ε4 allele. This suggests that the physiology of some potential biomarkers may be altered in AD due to the APOE ε4 allele, a major risk factor for AD. Taken together, these data highlight several potential biomarkers that can be used in a blood-based panel to allow earlier identification of individuals at risk of developing AD and/or early stage AD for which current therapies may be more beneficial.
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- 2017
210. Modulation of retinal arteriolar central reflection by APOE Genotype
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Frost, S., Bhuiyan, A., Offerman, D., Doecke, J.D., Macaulay, S.L., Sohrabi, H.R., Ames, D., Masters, C., Martins, R.N., Kanagasingam, Y., Frost, S., Bhuiyan, A., Offerman, D., Doecke, J.D., Macaulay, S.L., Sohrabi, H.R., Ames, D., Masters, C., Martins, R.N., and Kanagasingam, Y.
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Objective: This study investigated the retinal arteriolar central reflex (CR, the central reflection observed in photographs of retinal vessels), which may provide information about micro-vascular health in the retina and also the brain, due to the homology between these vascular networks. The study also describes a novel computer based semi-automated technique that accurately quantifies retinal arteriolar CR and vessel width, and calculates the CR to vessel width ratio (CRR) from digital retinal photographs. Methods: Digital retinal photographs were collected from participants in the Australian Imaging, Biomarkers and Lifestyle study of ageing (AIBL), including 25 participants diagnosed with Alzheimer’s disease (AD) (age 72.4 ± 7.5 yrs, 12 male, 13 female) and 123 elderly participants without dementia (cognitively normals: CN) (age 71.6 ± 5.6 yrs, 55 male, 68 female). Using a sub-cohort of 144 (22 AD, 122 CN) with the novel CRR measures, we identified significantly higher CRR levels in AD participants (mean CRR 0.253 (SD 0.04)) as compared with CN’s (mean CRR 0.231 (SD 0.04), p = 0.025). Adjustment for APOE ε4 allele status however, reduced the significance (p = 0.081). CRR was significantly higher in APOE ε4 allele carriers (mean CRR 0.254 (SD 0.03) as compared with non-carriers (mean CRR 0.224 (SD 0.05), p < 0.0001). Results: These data indicate that CRR is strongly linked to APOE ε4 status and exhibits a weaker, independent trend with AD diagnosis. The retina may be useful as a novel model for non-invasive monitoring of the effects of APOE ε4 on the central nervous system, particularly in cerebrovascular disease.
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- 2017
211. Increased carbohydrate intake is associated with poorer performance in verbal memory and attention in an APOE genotype-dependent manner
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Gardener, S.L., Rainey-Smith, S.R., Sohrabi, H.R., Weinborn, M., Verdile, G., Fernando, W.M.A.D.B., Lim, Y.Y., Harrington, KaK.rra, Burnham, S., Taddei, K., Masters, C.L., Macaulay, S.L., Rowe, C.C., Ames, D., Maruff, P., Martins, R.N., O’Bryant, S., Gardener, S.L., Rainey-Smith, S.R., Sohrabi, H.R., Weinborn, M., Verdile, G., Fernando, W.M.A.D.B., Lim, Y.Y., Harrington, KaK.rra, Burnham, S., Taddei, K., Masters, C.L., Macaulay, S.L., Rowe, C.C., Ames, D., Maruff, P., Martins, R.N., and O’Bryant, S.
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Evidence suggests that a diet low in carbohydrates can impact on cognitive performance among those with Alzheimer’s disease (AD). However, there is a lack of data assessing this relationship among cognitively normal (CN) older adults at increased future risk of developing AD due to carriage of the apolipoprotein E (APOE) ɛ4 allele. We assessed the cross-sectional association between carbohydrate intake, cognitive performance, and cerebral amyloid-β (Aβ) load in CN older adults, genotyped for APOE ɛ4 allele carrier status. Greater carbohydrate intake was associated with poorer performance in verbal memory in APOE ɛ4 allele non-carriers, and poorer performance in attention in APOE ɛ4 allele carriers. There were no associations between carbohydrate intake and cerebral Aβ load. These results provide support to the idea that decreasing carbohydrate intake may offer neurocognitive benefits, with specific cognitive domains affected in an APOE genotype-dependent manner. These findings warrant further investigation utilizing a longitudinal study design.
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- 2017
212. Concordance between cerebrospinal fluid biomarkers with Alzheimer’s disease pathology between three independent assay platforms
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Doecke, J.D., Rembach, A., Villemagne, V.L., Varghese, S., Rainey-Smith, S., Sarros, S., Evered, L.A., Fowler, C.J., Pertile, K.K., Rumble, R.L., Trounson, B., Taddei, K., Laws, S.M., Macaulay, S.L., Bush, A.I., Ellis, K.A., Martins, R., Ames, D., Silbert, B., Vanderstichele, H., Masters, C.L., Darby, D.G., Li, Q-X, Collins, S., Kuiperij, H.B., Doecke, J.D., Rembach, A., Villemagne, V.L., Varghese, S., Rainey-Smith, S., Sarros, S., Evered, L.A., Fowler, C.J., Pertile, K.K., Rumble, R.L., Trounson, B., Taddei, K., Laws, S.M., Macaulay, S.L., Bush, A.I., Ellis, K.A., Martins, R., Ames, D., Silbert, B., Vanderstichele, H., Masters, C.L., Darby, D.G., Li, Q-X, Collins, S., and Kuiperij, H.B.
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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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- 2017
213. BDNF Val66Met in preclinical Alzheimer's disease is associated with short-term changes in episodic memory and hippocampal volume but not serum mBDNF
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Lim, Y.Y., Rainey-Smith, S., Lim, Y., Laws, S.M., Gupta, V., Porter, T., Bourgeat, P., Ames, D., Fowler, C., Salvado, O., Villemagne, V.L., Rowe, C.C., Masters, C.L., Zhou, X.F., Martins, R.N., Maruff, P., Lim, Y.Y., Rainey-Smith, S., Lim, Y., Laws, S.M., Gupta, V., Porter, T., Bourgeat, P., Ames, D., Fowler, C., Salvado, O., Villemagne, V.L., Rowe, C.C., Masters, C.L., Zhou, X.F., Martins, R.N., and Maruff, P.
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Background: The brain-derived neurotrophic factor (BDNF) Val66Met polymorphism Met allele exacerbates amyloid (Aβ) related decline in episodic memory (EM) and hippocampal volume (HV) over 36–54 months in preclinical Alzheimer's disease (AD). However, the extent to which Aβ+ and BDNF Val66Met is related to circulating markers of BDNF (e.g. serum) is unknown. We aimed to determine the effect of Aβ and the BDNF Val66Met polymorphism on levels of serum mBDNF, EM, and HV at baseline and over 18-months. Methods: Non-demented older adults (n = 446) underwent Aβ neuroimaging and BDNF Val66Met genotyping. EM and HV were assessed at baseline and 18 months later. Fasted blood samples were obtained from each participant at baseline and at 18-month follow-up. Aβ PET neuroimaging was used to classify participants as Aβ– or Aβ+. Results: At baseline, Aβ+ adults showed worse EM impairment and lower serum mBDNF levels relative to Aβ- adults. BDNF Val66Met polymorphism did not affect serum mBDNF, EM, or HV at baseline. When considered over 18-months, compared to Aβ– Val homozygotes, Aβ+ Val homozygotes showed significant decline in EM and HV but not serum mBDNF. Similarly, compared to Aβ+ Val homozygotes, Aβ+ Met carriers showed significant decline in EM and HV over 18-months but showed no change in serum mBDNF. Conclusion: While allelic variation in BDNF Val66Met may influence Aβ+ related neurodegeneration and memory loss over the short term, this is not related to serum mBDNF. Longer follow-up intervals may be required to further determine any relationships between serum mBDNF, EM, and HV in preclinical AD.
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- 2017
214. Plasma cortisol, brain Amyloid-β, and cognitive decline in preclinical Alzheimer’s disease: A 6-Year prospective cohort study
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Pietrzak, R.H., Laws, S.M., Lim, Y.Y., Bender, S. J., Porter, T., Doecke, J., Ames, D., Fowler, C., Masters, C.L., Milicic, L., Rainey-Smith, S., Villemagne, V.L., Rowe, C.C., Martins, R.N., Maruff, P., Pietrzak, R.H., Laws, S.M., Lim, Y.Y., Bender, S. J., Porter, T., Doecke, J., Ames, D., Fowler, C., Masters, C.L., Milicic, L., Rainey-Smith, S., Villemagne, V.L., Rowe, C.C., Martins, R.N., and Maruff, P.
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Background Hypothalamic-pituitary-adrenal axis dysregulation, which is typically assessed by measuring cortisol levels, is associated with cognitive dysfunction, hippocampal atrophy, and increased risk for mild cognitive impairment and Alzheimer’s disease (AD). However, little is known about the role of hypothalamic-pituitary-adrenal axis dysregulation in moderating the effect of high levels of amyloid-β (Aβ+) on cognitive decline in the preclinical phase of AD, which is often protracted, and thus offers opportunities for prevention and early intervention. Methods Using data from a 6-year multicenter prospective cohort study, we evaluated the relation between Aβ level, plasma cortisol level, and cognitive decline in 416 cognitively normal older adults. Results Results revealed that Aβ+ older adults experienced faster decline than Aβ− older adults in all cognitive domains (Cohen’s d at 6-year assessment = 0.37–0.65). They further indicated a significant interaction between Aβ and cortisol levels for global cognition (d = 0.32), episodic memory (d = 0.50), and executive function (d = 0.59) scores, with Aβ+ older adults with high cortisol levels having significantly faster decline in these domains compared with Aβ+ older adults with low cortisol levels. These effects were independent of age, sex, APOE genotype, anxiety symptoms, and radiotracer type. Conclusions In cognitively healthy older adults, Aβ+ is associated with greater cognitive decline and high plasma cortisol levels may accelerate the effect of Aβ+ on decline in global cognition, episodic memory, and executive function. These results suggest that therapies targeted toward lowering plasma cortisol and Aβ levels may be helpful in mitigating cognitive decline in the preclinical phase of AD.
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- 2017
215. Amyloid β–associated cognitive decline in the absence of clinical disease progression and systemic illness
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Harrington, K.D., Lim, Y.Y., Ames, D., Hassenstab, J., Laws, S.M., Martins, R.N., Rainey‐Smith, S., Robertson, J., Rowe, C.C., Salvado, O., Doré, V., Villemagne, V.L., Snyder, P.J., Masters, C.L., Maruff, P., Harrington, K.D., Lim, Y.Y., Ames, D., Hassenstab, J., Laws, S.M., Martins, R.N., Rainey‐Smith, S., Robertson, J., Rowe, C.C., Salvado, O., Doré, V., Villemagne, V.L., Snyder, P.J., Masters, C.L., and Maruff, P.
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Introduction High levels of amyloid β (Aβ) are associated with cognitive decline in cognitively normal (CN) older adults. This study investigated the nature of cognitive decline in healthy individuals who did not progress to mild cognitive impairment or dementia. Method Cognition was measured over 72 months and compared between low (Aβ−) and high (Aβ+) CN older adults (n = 335) who did not progress to mild cognitive impairment or dementia and who remained free of severe or uncontrolled systemic illness. Results Compared to the Aβ− group, the Aβ+ group showed no cognitive impairment at baseline but showed substantial decline in verbal learning, episodic memory, and attention over 72 months. Discussion Moderate cognitive decline, particularly for learning and memory, was associated with Aβ+ in CN older adults in the absence of clinical disease progression and uncontrolled or serious comorbid illness.
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- 2017
216. Trajectories of depressive and anxiety symptoms in older adults: A 6-year prospective cohort study
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Holmes, S.E., Esterlis, I., Mazure, C.M., Lim, Y.Y., Ames, D., Rainey-Smith, S., Fowler, C., Ellis, K., Martins, R.N., Salvado, O., Doré, V., Villemagne, V.L., Rowe, C.C., Laws, S.M., Masters, C.L., Pietrzak, R.H., Maruff, P., Holmes, S.E., Esterlis, I., Mazure, C.M., Lim, Y.Y., Ames, D., Rainey-Smith, S., Fowler, C., Ellis, K., Martins, R.N., Salvado, O., Doré, V., Villemagne, V.L., Rowe, C.C., Laws, S.M., Masters, C.L., Pietrzak, R.H., and Maruff, P.
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Objective: Depressive and anxiety symptoms are common in older adults, significantly affect quality of life, and are risk factors for Alzheimer's disease. We sought to identify the determinants of predominant trajectories of depressive and anxiety symptoms in cognitively normal older adults. Method: Four hundred twenty-three older adults recruited from the general community underwent Aβ positron emission tomography imaging, apolipoprotein and brain-derived neurotrophic factor genotyping, and cognitive testing at baseline and had follow-up assessments. All participants were cognitively normal and free of clinical depression at baseline. Latent growth mixture modeling was used to identify predominant trajectories of subthreshold depressive and anxiety symptoms over 6 years. Binary logistic regression analysis was used to identify baseline predictors of symptomatic depressive and anxiety trajectories. Results: Latent growth mixture modeling revealed two predominant trajectories of depressive and anxiety symptoms: a chronically elevated trajectory and a low, stable symptom trajectory, with almost one in five participants falling into the elevated trajectory groups. Male sex (relative risk ratio (RRR) = 3.23), lower attentional function (RRR = 1.90), and carriage of the brain-derived neurotrophic factor Val66Met allele in women (RRR = 2.70) were associated with increased risk for chronically elevated depressive symptom trajectory. Carriage of the apolipoprotein epsilon 4 allele (RRR = 1.92) and lower executive function in women (RRR = 1.74) were associated with chronically elevated anxiety symptom trajectory. Conclusion: Our results indicate distinct and sex-specific risk factors linked to depressive and anxiety trajectories, which may help inform risk stratification and management of these symptoms in older adults at risk for Alzheimer's disease.
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- 2017
217. APOE ɛ4 genotype, amyloid, and clinical disease progression in cognitively normal older adults
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Hollands, S., Lim, Y.Y., Laws, S.M., Villemagne, V.L., Pietrzak, R.H., Harrington, K., Porter, T., Snyder, P., Ames, D., Fowler, C., Rainey-Smith, S.R., Martins, R.N., Salvado, O., Robertson, J., Rowe, C.C., Masters, C.L., Maruff, P., Hollands, S., Lim, Y.Y., Laws, S.M., Villemagne, V.L., Pietrzak, R.H., Harrington, K., Porter, T., Snyder, P., Ames, D., Fowler, C., Rainey-Smith, S.R., Martins, R.N., Salvado, O., Robertson, J., Rowe, C.C., Masters, C.L., and Maruff, P.
- Abstract
Background: In cognitively normal (CN) older adults, carriage of the apolipoprotein E (APOE) ɛ4 allele is associated with increased risk for dementia of the Alzheimer type (AD-dementia). It is unclear whether this occurs solely through APOEɛ4 increasing amyloid-β (Aβ) accumulation or through processes independent of Aβ. Objective: To determine the extent and nature to which APOEɛ4 increases risk for clinical disease progression in CN older adults. Methods: Data from the total (n = 765) and Aβ-imaged (n = 423) CN cohort in the Australian Imaging, Biomarker and Lifestyle (AIBL) Study of Ageing was analyzed using Cox proportional hazard models to estimate ɛ4 risk for clinical disease progression over a 72-month follow-up. Results: With Aβ status unknown and risk from demographic characteristics controlled, ɛ4 carriage increased risk for clinical disease progression over 72 months by 2.66 times compared to risk of non-ɛ4 carriage. Re-analysis with Aβ status included showed that abnormally high Aβ increased risk for clinical disease progression over 72 months by 2.11 times compared to risk of low Aβ. However, with Aβ level known, ɛ4 carriage was no longer predictive of clinical disease progression. Conclusion: In CN older adults, the risk of ɛ4 for clinical disease progression occurs through the effect of ɛ4 increasing Aβ levels.
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- 2017
218. Associations of neighborhood environment with brain imaging outcomes in the Australian Imaging, Biomarkers and Lifestyle cohort
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Cerin, E., Rainey-Smith, S.R., Ames, D., Lautenschlager, N.T., Macaulay, S.L., Fowler, C., Robertson, J.S., Rowe, C.C., Maruff, P., Martins, R.N., Masters, C.L., Ellis, K.A., Cerin, E., Rainey-Smith, S.R., Ames, D., Lautenschlager, N.T., Macaulay, S.L., Fowler, C., Robertson, J.S., Rowe, C.C., Maruff, P., Martins, R.N., Masters, C.L., and Ellis, K.A.
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Introduction “Walkable” neighborhoods offer older adults opportunities for activities that may benefit cognition-related biological mechanisms. These have not previously been examined in this context. Methods We objectively assessed neighborhood walkability for participants (n = 146) from the Australian Imaging, Biomarkers and Lifestyle study with apolipoprotein E (APOE) genotype and two 18-month-apart brain volumetric and/or amyloid β burden assessments. Linear mixed models estimated associations of neighborhood walkability with levels and changes in brain imaging outcomes, the moderating effect of APOE ε4 status, and the extent to which associations were explained by physical activity. Results Cross-sectionally, neighborhood walkability was predictive of better neuroimaging outcomes except for left hippocampal volume. These associations were to a small extent explained by physical activity. APOE ε4 carriers showed slower worsening of outcomes if living in walkable neighborhoods. Discussion These findings indicate associations between neighborhood walkability and brain imaging measures (especially in APOE ε4 carriers) minimally attributable to physical activity.
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- 2017
219. Evaluation of cholinergic deficiency in preclinical Alzheimer’s disease using pupillometry
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Frost, S., Robinson, L., Rowe, C.C., Ames, D., Masters, C.L., Taddei, K., Rainey-Smith, S.R., Martins, R.N., Kanagasingam, Y., Frost, S., Robinson, L., Rowe, C.C., Ames, D., Masters, C.L., Taddei, K., Rainey-Smith, S.R., Martins, R.N., and Kanagasingam, Y.
- Abstract
Cortical cholinergic deficiency is prominent in Alzheimer's disease (AD), and published findings of diminished pupil flash response in AD suggest that this deficiency may extend to the visual cortical areas and anterior eye. Pupillometry is a low-cost, noninvasive technique that may be useful for monitoring cholinergic deficits which generally lead to memory and cognitive disorders. The aim of the study was to evaluate pupillometry for early detection of AD by comparing the pupil flash response (PFR) in AD (N = 14) and cognitively normal healthy control (HC, N = 115) participants, with the HC group stratified according to high (N = 38) and low (N = 77) neocortical amyloid burden (NAB). Constriction phase PFR parameters were significantly reduced in AD compared to HC (maximum acceleration p < 0.05, maximum velocity p < 0.0005, average velocity p < 0.005, and constriction amplitude p < 0.00005). The high-NAB HC subgroup had reduced PFR response cross-sectionally, and also a greater decline longitudinally, compared to the low-NAB subgroup, suggesting changes to pupil response in preclinical AD. The results suggest that PFR changes may occur in the preclinical phase of AD. Hence, pupillometry has a potential as an adjunct for noninvasive, cost-effective screening for preclinical AD.
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- 2017
220. Incidental findings on cerebral MRI in twins: the Older Australian Twins Study
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Koncz, R, Mohan, A, Dawes, L, Thalamuthu, A, Wright, M, Ames, D, Lee, T, Wen, W, Sachdev, PS, Koncz, R, Mohan, A, Dawes, L, Thalamuthu, A, Wright, M, Ames, D, Lee, T, Wen, W, and Sachdev, PS
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- 2017
221. Aging, exceptional longevity and comparisons of the Hannum and Horvath epigenetic clocks
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Armstrong, NJ, Mather, KA, Thalamuthu, A, Wright, MJ, Trollor, JN, Ames, D, Brodaty, H, Schofield, PR, Sachdev, PS, Kwok, JB, Armstrong, NJ, Mather, KA, Thalamuthu, A, Wright, MJ, Trollor, JN, Ames, D, Brodaty, H, Schofield, PR, Sachdev, PS, and Kwok, JB
- Abstract
AIM: To examine the relationships between two epigenetic clocks, aging and exceptional longevity. MATERIALS & METHODS: Participants were from three adult cohorts with blood DNA methylation data (Illumina 450 K, n = 275, 34-103 years). Epigenetic age (DNAmage) and age acceleration measures were calculated using the Hannum and Horvath epigenetic clocks. RESULTS: Across all cohorts, DNAmage was correlated with chronological age. In the long-lived cohort (Sydney Centenarian Study; 95+, n = 23), DNAmage was lower than chronological age for both clocks. Mean Sydney Centenarian Study Hannum age acceleration was negative, while the converse was observed for the Horvath model. CONCLUSION: Long-lived individuals have a young epigenetic age compared with their chronological age.
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- 2017
222. Cognitive super-aging versus typical aging in community-dwelling older adults: Longitudinal trajectories in global cortical thickness over six years
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Sohrabi, H.R., Gardener, S.L., Weinborn, M., Shen, K., Rainey-Smith, S.R., Brown, B.M., Taddei, K., Doecke, J.D., Salvado, O., Villemagne, V.L.L., Maruff, P., Savage, G., Ames, D., Masters, C.L., Rowe, C.C., Martins, R.N., Sohrabi, H.R., Gardener, S.L., Weinborn, M., Shen, K., Rainey-Smith, S.R., Brown, B.M., Taddei, K., Doecke, J.D., Salvado, O., Villemagne, V.L.L., Maruff, P., Savage, G., Ames, D., Masters, C.L., Rowe, C.C., and Martins, R.N.
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Background It is common for older adults to experience decline in some cognitive functions with increasing age. Importantly, a subset, usually referred to as super-agers (SA; Rogalski, et al., 2013, J Cog Neurosc, 25: 29-36) live to an old age whilst continuing to maintain cognitive function at levels similar to demographically-matched peers at least 20-30 years their junior. The current study reports trajectories of change in cortical thickness on a well-defined group of SAs vs. typical agers (TA) followed longitudinally over six years in the Australian Imaging, Biomarkers & Lifestyle Study (AIBL) (Ellis et al., 2009, Int Psychogeriat, 2: 672-87). Methods Super-Agers were defined as individuals aged 60+ who scored in the normative range for individuals aged 30 – 44 on the CVLT-II, a test of verbal episodic memory, at baseline and two consecutive time-points 18 months apart. SAs additionally must have performed in the unimpaired range in all other cognitive domains, as compared to same-aged peers. Typical agers must have scored within the normal range on all cognitive measures compared with same-aged peers. This report describes data from 21 SAs and 24 TAs. The TAs were chosen from a larger group matched on age, education and gender to the SA group. All participants completed brain magnetic resonance imaging every 18 months for six years. We conducted multiple linear mixed models analyses to assess the association between preservation of cortical thickness in SAs and TAs. Results From 34 regions of interest identified as potentially differentiating SAs from TAs from previous neuroimaging studies, our results were consistent in finding greater cortical thinning amongst TAs in 20 of these regions (p-values ranging between ≤ .000 and .047), with an additional five regions at trend level (p-values ranging between ≥ .05 and .073). Using false discovery rates, we found significantly preserved thickness in three regions not previously reported including left superior parie
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- 2017
223. Altered levels of blood proteins in Alzheimer's disease longitudinal study: Results from Australian Imaging Biomarkers Lifestyle Study of Ageing cohort
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Gupta, V.B., Hone, E., Pedrini, S., Doecke, J., O'Bryant, S., James, I., Bush, A.I., Rowe, C.C., Villemagne, V.L., Ames, D, Masters, C.L., Martins, R.N., Gupta, V.B., Hone, E., Pedrini, S., Doecke, J., O'Bryant, S., James, I., Bush, A.I., Rowe, C.C., Villemagne, V.L., Ames, D, Masters, C.L., and Martins, R.N.
- Abstract
Introduction A blood-based biomarker panel to identify individuals with preclinical Alzheimer's disease (AD) would be an inexpensive and accessible first step for routine testing. Methods We analyzed 14 biomarkers that have previously been linked to AD in the Australian Imaging Biomarkers lifestyle longitudinal study of aging cohort. Results Levels of apolipoprotein J (apoJ) were higher in AD individuals compared with healthy controls at baseline and 18 months (P =.0003) and chemokine-309 (I-309) were increased in AD patients compared to mild cognitive impaired individuals over 36 months (P =.0008). Discussion These data suggest that apoJ may have potential in the context of use (COU) of AD diagnostics, I-309 may be specifically useful in the COU of identifying individuals at greatest risk for progressing toward AD. This work takes an initial step toward identifying blood biomarkers with potential use in the diagnosis and prognosis of AD and should be validated across other prospective cohorts.
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- 2017
224. Aging, exceptional longevity and comparisons of the Hannum and Horvath epigenetic clocks
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Armstrong, N.J., Mather, K.A., Thalamuthu, A., Wright, M.J., Trollor, J.N., Ames, D., Brodaty, H., Schofield, P.R., Sachdev, P.S., Kwok, J.B., Armstrong, N.J., Mather, K.A., Thalamuthu, A., Wright, M.J., Trollor, J.N., Ames, D., Brodaty, H., Schofield, P.R., Sachdev, P.S., and Kwok, J.B.
- Abstract
Aim: To examine the relationships between two epigenetic clocks, aging and exceptional longevity. Materials & methods: Participants were from three adult cohorts with blood DNA methylation data (Illumina 450 K, n = 275, 34-103 years). Epigenetic age (DNAmage) and age acceleration measures were calculated using the Hannum and Horvath epigenetic clocks. Results: Across all cohorts, DNAmage was correlated with chronological age. In the long-lived cohort (Sydney Centenarian Study; 95+, n = 23), DNAmage was lower than chronological age for both clocks. Mean Sydney Centenarian Study Hannum age acceleration was negative, while the converse was observed for the Horvath model. Conclusion: Long-lived individuals have a young epigenetic age compared with their chronological age.
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- 2017
225. Novel genetic loci associated with hippocampal volume
- Author
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Hibar, D.P., Adams, H.H.H., Jahanshad, N., Chauhan, G., Stein, J.L., Hofer, E., Renteria, M.E., Bis, J.C., Arias-Vasquez, A., Ikram, M.K., Desrivières, S., Vernooij, M.W., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B.S., Armstrong, N.J., Athanasiu, L., Axelsson, T., Beecham, A.H., Beiser, A., Bernard, M., Blanton, S.H., Bohlken, M.M., Boks, M.P., Bralten, J., Brickman, A.M., Carmichael, O., Chakravarty, M.M., Chen, Q., Ching, C.R.K., Chouraki, V., Cuellar-Partida, G., Crivello, F., den Braber, A., Doan, N.T., Ehrlich, S., Giddaluru, S., Goldman, A.L., Gottesman, R.F., Grimm, O., Griswold, M.E., Guadalupe, T., Gutman, B.A., Hass, J., Haukvik, U.K., Hoehn, D., Holmes, A.J., Hoogman, M., Janowitz, D., Jia, T., Jørgensen, K.N., Karbalai, N., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P.H., Liewald, D.C.M., Lopez, L.M., Luciano, M., Macare, C., Marquand, A.F., Matarin, M., Mather, K.A., Mattheisen, M., McKay, D.R., Milaneschi, Y., Munoz Maniega, S., Nho, K., Nugent, A.C., Nyquist, P., Loohuis, L.M.O., Oosterlaan, J., Papmeyer, M., Pirpamer, L., Putz, B., Ramasamy, A., Richards, J.S., Risacher, S.L., Roiz-Santiañez, R., Rommelse, N., Ropele, S., Rose, E.J., Royle, N.A., Rundek, T., Sämann, P.G., Saremi, A., Satizabal, C.L., Schmaal, L., Schork, A.J., Shen, L., Shin, J., Shumskaya, E., Smith, A.V., Sprooten, E., Strike, L.T., Teumer, A., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Trompet, S., Vaidya, D., Van der Grond, J., van der Lee, S.J., van der Meer, D., van Donkelaar, M.M.J., van Eijk, K.R., Van Erp, T.G.M., Van Rooij, D., Walton, E., Westlye, L.T., Whelan, C.D., Windham, B.G., Winkler, A.M., Wittfeld, K., Woldehawariat, G., Wolf, C., Wolfers, T., Yanek, L.R., Yang, J., Zijdenbos, A., Zwiers, M.P., Agartz, I., Almasy, L., Ames, D., Amouyel, P., Andreassen, O.A., Arepalli, S., Assareh, A.A., Barral, S., Bastin, M.E., Becker, D.M., Becker, J.T., Bennett, D.A., Blangero, J., van Bokhoven, H., Boomsma, D.I., Brodaty, H., Brouwer, R.M., Brunner, H.G., Buckner, R.L., Buitelaar, J.K., Bulayeva, K.B., Cahn, W., Calhoun, V.D., Cannon, D.M., Cavalleri, G.L., Cheng, C-Y, Cichon, S., Cookson, M.R., Corvin, A., Crespo-Facorro, B., Curran, J.E., Czisch, M., Dale, A.M., Davies, G.E., de Craen, A.J.M., de Geus, E.J.C., De Jager, P.L., de Zubicaray, G.I., Deary, I.J., Debette, S., DeCarli, C., Delanty, N., Depondt, C., DeStefano, A.L., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W.C., Duggirala, R., Dyer, T.D., Enzinger, C., Erk, S., Espeseth, T., Fedko, I.O., Fernández, G., Ferrucci, L., Fisher, S.E., Fleischman, D.A., Ford, I., Fornage, M., Foroud, T.M., Fox, P.T., Francks, C., Fukunaga, M., Gibbs, J.R., Glahn, D.C., Gollub, R.L., Göring, H.H.H., Green, R.C., Gruber, O., Gudnason, V., Guelfi, S., Håberg, A.K., Hansell, N.K., Hardy, J., Hartman, C.A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D.G., Heslenfeld, D.J., Ho, B-C., Hoekstra, P.J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J-J, Huentelman, M., Pol, H.E.H., Ikeda, M., Jack Jr, C.R., Jenkinson, M., Johnson, R., Jönsson, E.G., Jukema, J.W., Kahn, R.S., Kanai, R., Kloszewska, I., Knopman, D.S., Kochunov, P., Kwok, J.B., Lawrie, S.M., Lemaitre, H., Liu, X., Longo, D.L., Lopez, O.L., Lovestone, S., Martinez, O.P., Martinot, J-L, Mattay, V.S., McDonald, C., McIntosh, A.M., McMahon, F.J., McMahon, K.L., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G.W., Morris, D.W., Mosley, T.H., Mühleisen, T.W., Müller-Myhsok, B., Nalls, M.A., Nauck, M., Nichols, T.E., Niessen, W.J., Nöthen, M.M., Nyberg, L., Ohi, K., Olvera, R.L., Ophoff, R.A., Pandolfo, M., Paus, T., Pausova, Z., Penninx, B.W.J.H., Pike, G.B., Potkin, S.G., Psaty, B.M., Reppermund, S., Rietschel, M., Roffman, J.L., Romanczuk-Seiferth, N., Rotter, J.I., Ryten, M., Sacco, R.L., Sachdev, P.S., Saykin, A.J., Schmidt, R., Schmidt, H., Schofield, P.R., Sigursson, S., Simmons, A., Singleton, A., Sisodiya, S.M., Smith, C., Smoller, J.W., Soininen, H., Steen, V.M., Stott, D.J., Sussmann, J.E., Thalamuthu, A., Toga, A.W., Traynor, B.J., Troncoso, J., Tsolaki, M., Tzourio, C., Uitterlinden, A.G., Hernández, M.C.V., van der Brug, M., van der Lugt, A., van der Wee, N.J.A., van Haren, N.E.M., van ’t Ent, D., van Tol, M-J, Vardarajan, B.N., Vellas, B., Veltman, D.J., Volzke, H., Walter, H., Wardlaw, J.M., Wassink, T.H., Weale, M.E., Weinberger, D.R., Weiner, M.W., Wen, W., Westman, E., White, T., Wong, T.Y., Wright, C.B., Zielke, R.H., Zonderman, A.B., Martin, N.G., van Duijn, C.M., Wright, M.J., Longstreth, W.T., Schumann, G., Grabe, H.J., Franke, B., Launer, L.J., Medland, S.E., Seshadri, S., Thompson, P.M., Ikram, M.A., Hibar, D.P., Adams, H.H.H., Jahanshad, N., Chauhan, G., Stein, J.L., Hofer, E., Renteria, M.E., Bis, J.C., Arias-Vasquez, A., Ikram, M.K., Desrivières, S., Vernooij, M.W., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B.S., Armstrong, N.J., Athanasiu, L., Axelsson, T., Beecham, A.H., Beiser, A., Bernard, M., Blanton, S.H., Bohlken, M.M., Boks, M.P., Bralten, J., Brickman, A.M., Carmichael, O., Chakravarty, M.M., Chen, Q., Ching, C.R.K., Chouraki, V., Cuellar-Partida, G., Crivello, F., den Braber, A., Doan, N.T., Ehrlich, S., Giddaluru, S., Goldman, A.L., Gottesman, R.F., Grimm, O., Griswold, M.E., Guadalupe, T., Gutman, B.A., Hass, J., Haukvik, U.K., Hoehn, D., Holmes, A.J., Hoogman, M., Janowitz, D., Jia, T., Jørgensen, K.N., Karbalai, N., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P.H., Liewald, D.C.M., Lopez, L.M., Luciano, M., Macare, C., Marquand, A.F., Matarin, M., Mather, K.A., Mattheisen, M., McKay, D.R., Milaneschi, Y., Munoz Maniega, S., Nho, K., Nugent, A.C., Nyquist, P., Loohuis, L.M.O., Oosterlaan, J., Papmeyer, M., Pirpamer, L., Putz, B., Ramasamy, A., Richards, J.S., Risacher, S.L., Roiz-Santiañez, R., Rommelse, N., Ropele, S., Rose, E.J., Royle, N.A., Rundek, T., Sämann, P.G., Saremi, A., Satizabal, C.L., Schmaal, L., Schork, A.J., Shen, L., Shin, J., Shumskaya, E., Smith, A.V., Sprooten, E., Strike, L.T., Teumer, A., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Trompet, S., Vaidya, D., Van der Grond, J., van der Lee, S.J., van der Meer, D., van Donkelaar, M.M.J., van Eijk, K.R., Van Erp, T.G.M., Van Rooij, D., Walton, E., Westlye, L.T., Whelan, C.D., Windham, B.G., Winkler, A.M., Wittfeld, K., Woldehawariat, G., Wolf, C., Wolfers, T., Yanek, L.R., Yang, J., Zijdenbos, A., Zwiers, M.P., Agartz, I., Almasy, L., Ames, D., Amouyel, P., Andreassen, O.A., Arepalli, S., Assareh, A.A., Barral, S., Bastin, M.E., Becker, D.M., Becker, J.T., Bennett, D.A., Blangero, J., van Bokhoven, H., Boomsma, D.I., Brodaty, H., Brouwer, R.M., Brunner, H.G., Buckner, R.L., Buitelaar, J.K., Bulayeva, K.B., Cahn, W., Calhoun, V.D., Cannon, D.M., Cavalleri, G.L., Cheng, C-Y, Cichon, S., Cookson, M.R., Corvin, A., Crespo-Facorro, B., Curran, J.E., Czisch, M., Dale, A.M., Davies, G.E., de Craen, A.J.M., de Geus, E.J.C., De Jager, P.L., de Zubicaray, G.I., Deary, I.J., Debette, S., DeCarli, C., Delanty, N., Depondt, C., DeStefano, A.L., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W.C., Duggirala, R., Dyer, T.D., Enzinger, C., Erk, S., Espeseth, T., Fedko, I.O., Fernández, G., Ferrucci, L., Fisher, S.E., Fleischman, D.A., Ford, I., Fornage, M., Foroud, T.M., Fox, P.T., Francks, C., Fukunaga, M., Gibbs, J.R., Glahn, D.C., Gollub, R.L., Göring, H.H.H., Green, R.C., Gruber, O., Gudnason, V., Guelfi, S., Håberg, A.K., Hansell, N.K., Hardy, J., Hartman, C.A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D.G., Heslenfeld, D.J., Ho, B-C., Hoekstra, P.J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J-J, Huentelman, M., Pol, H.E.H., Ikeda, M., Jack Jr, C.R., Jenkinson, M., Johnson, R., Jönsson, E.G., Jukema, J.W., Kahn, R.S., Kanai, R., Kloszewska, I., Knopman, D.S., Kochunov, P., Kwok, J.B., Lawrie, S.M., Lemaitre, H., Liu, X., Longo, D.L., Lopez, O.L., Lovestone, S., Martinez, O.P., Martinot, J-L, Mattay, V.S., McDonald, C., McIntosh, A.M., McMahon, F.J., McMahon, K.L., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G.W., Morris, D.W., Mosley, T.H., Mühleisen, T.W., Müller-Myhsok, B., Nalls, M.A., Nauck, M., Nichols, T.E., Niessen, W.J., Nöthen, M.M., Nyberg, L., Ohi, K., Olvera, R.L., Ophoff, R.A., Pandolfo, M., Paus, T., Pausova, Z., Penninx, B.W.J.H., Pike, G.B., Potkin, S.G., Psaty, B.M., Reppermund, S., Rietschel, M., Roffman, J.L., Romanczuk-Seiferth, N., Rotter, J.I., Ryten, M., Sacco, R.L., Sachdev, P.S., Saykin, A.J., Schmidt, R., Schmidt, H., Schofield, P.R., Sigursson, S., Simmons, A., Singleton, A., Sisodiya, S.M., Smith, C., Smoller, J.W., Soininen, H., Steen, V.M., Stott, D.J., Sussmann, J.E., Thalamuthu, A., Toga, A.W., Traynor, B.J., Troncoso, J., Tsolaki, M., Tzourio, C., Uitterlinden, A.G., Hernández, M.C.V., van der Brug, M., van der Lugt, A., van der Wee, N.J.A., van Haren, N.E.M., van ’t Ent, D., van Tol, M-J, Vardarajan, B.N., Vellas, B., Veltman, D.J., Volzke, H., Walter, H., Wardlaw, J.M., Wassink, T.H., Weale, M.E., Weinberger, D.R., Weiner, M.W., Wen, W., Westman, E., White, T., Wong, T.Y., Wright, C.B., Zielke, R.H., Zonderman, A.B., Martin, N.G., van Duijn, C.M., Wright, M.J., Longstreth, W.T., Schumann, G., Grabe, H.J., Franke, B., Launer, L.J., Medland, S.E., Seshadri, S., Thompson, P.M., and Ikram, M.A.
- Abstract
The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer’s disease (rg=−0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.
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- 2017
226. Altered levels of blood proteins in Alzheimer's disease longitudinal study: Results from Australian Imaging Biomarkers Lifestyle Study of Ageing cohort
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Gupta, Veer, Hone, E, Pedrini, S, Doecke, J, O'Bryant, S, James, I, Bush, AI, Rowe, CC, Villemagne, VL, Ames, D, Masters, CL, Martins, RN, Gupta, Veer, Hone, E, Pedrini, S, Doecke, J, O'Bryant, S, James, I, Bush, AI, Rowe, CC, Villemagne, VL, Ames, D, Masters, CL, and Martins, RN
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- 2017
227. Evaluation of Cholinergic Deficiency in Preclinical Alzheimer's Disease Using Pupillometry
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Frost, S, Robinson, L, Rowe, CC, Ames, D, Masters, CL, Taddei, K, Rainey-Smith, SR, Martins, RN, Kanagasingam, Y, Frost, S, Robinson, L, Rowe, CC, Ames, D, Masters, CL, Taddei, K, Rainey-Smith, SR, Martins, RN, and Kanagasingam, Y
- Abstract
Cortical cholinergic deficiency is prominent in Alzheimer's disease (AD), and published findings of diminished pupil flash response in AD suggest that this deficiency may extend to the visual cortical areas and anterior eye. Pupillometry is a low-cost, noninvasive technique that may be useful for monitoring cholinergic deficits which generally lead to memory and cognitive disorders. The aim of the study was to evaluate pupillometry for early detection of AD by comparing the pupil flash response (PFR) in AD (N = 14) and cognitively normal healthy control (HC, N = 115) participants, with the HC group stratified according to high (N = 38) and low (N = 77) neocortical amyloid burden (NAB). Constriction phase PFR parameters were significantly reduced in AD compared to HC (maximum acceleration p < 0.05, maximum velocity p < 0.0005, average velocity p < 0.005, and constriction amplitude p < 0.00005). The high-NAB HC subgroup had reduced PFR response cross-sectionally, and also a greater decline longitudinally, compared to the low-NAB subgroup, suggesting changes to pupil response in preclinical AD. The results suggest that PFR changes may occur in the preclinical phase of AD. Hence, pupillometry has a potential as an adjunct for noninvasive, cost-effective screening for preclinical AD.
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- 2017
228. Altered levels of blood proteins in Alzheimer's disease longitudinal study: Results from Australian Imaging Biomarkers Lifestyle Study of Ageing cohort.
- Author
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Gupta, VB, Hone, E, Pedrini, S, Doecke, J, O'Bryant, S, James, I, Bush, AI, Rowe, CC, Villemagne, VL, Ames, D, Masters, CL, Martins, RN, AIBL Research Group, Gupta, VB, Hone, E, Pedrini, S, Doecke, J, O'Bryant, S, James, I, Bush, AI, Rowe, CC, Villemagne, VL, Ames, D, Masters, CL, Martins, RN, and AIBL Research Group
- Abstract
INTRODUCTION: A blood-based biomarker panel to identify individuals with preclinical Alzheimer's disease (AD) would be an inexpensive and accessible first step for routine testing. METHODS: We analyzed 14 biomarkers that have previously been linked to AD in the Australian Imaging Biomarkers lifestyle longitudinal study of aging cohort. RESULTS: Levels of apolipoprotein J (apoJ) were higher in AD individuals compared with healthy controls at baseline and 18 months (P = .0003) and chemokine-309 (I-309) were increased in AD patients compared to mild cognitive impaired individuals over 36 months (P = .0008). DISCUSSION: These data suggest that apoJ may have potential in the context of use (COU) of AD diagnostics, I-309 may be specifically useful in the COU of identifying individuals at greatest risk for progressing toward AD. This work takes an initial step toward identifying blood biomarkers with potential use in the diagnosis and prognosis of AD and should be validated across other prospective cohorts.
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- 2017
229. A randomized controlled trial of physical activity with individual goal-setting and volunteer mentors to overcome sedentary lifestyle in older adults at risk of cognitive decline: the INDIGO trial protocol
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Cox, KL, Cyarto, EV, Etherton-Beer, C, Ellis, KA, Alfonso, H, Clare, L, Liew, D, Ames, D, Flicker, L, Almeida, OP, LoGiudice, D, Lautenschlager, NT, Cox, KL, Cyarto, EV, Etherton-Beer, C, Ellis, KA, Alfonso, H, Clare, L, Liew, D, Ames, D, Flicker, L, Almeida, OP, LoGiudice, D, and Lautenschlager, NT
- Abstract
BACKGROUND: Increasing physical activity (PA) effectively in those who are inactive is challenging. For those who have subjective memory complaints (SMC) or mild cognitive impairment (MCI) this is a greater challenge necessitating the need for more engaging and innovative approaches. The primary aim of this trial is to determine whether a home-based 6-month PA intervention with individual goal-setting and peer mentors (GM-PA) can significantly increase PA levels in insufficiently active older adults at increased risk of developing Alzheimer's disease (AD). METHODS: Community living 60-80 year olds with SMC or MCI who do not engage in more than 60 min per week of moderate intensity PA will be recruited from memory clinics and the community via media advertisements to participate in this randomized, single-blind controlled trial. All participants will receive an individually tailored home-based PA program of 150 min of moderate intensity walking/week for 6 months. The intervention group will undertake individual goal-setting and behavioral education workshops with mentor support via telephone (GM-PA). Those randomized to the control group will have standard education workshops and Physical Activity Liaison (PAL) contact via telephone (CO-PA). Increase in PA is the primary outcome, fitness, cognitive, personality, demographic and clinical parameters will be measured and a health economic analysis performed. A saliva sample will be collected for APOE e4 genotyping. All participants will have a goal-setting interview to determine their PA goals. Active volunteers aged 50-85 years will be recruited from the community randomized and trained to provide peer support as mentors (intervention group) or PALS (control group) for the 6-month intervention. Mentors and PALS will have PA, exercise self-efficacy and mentoring self-efficacy measured. Participants in both groups are asked to attend 3 workshops in 6 months. At the first workshop, they will meet their allocated Mentor or
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- 2017
230. Amyloid burden and incident depressive symptoms in cognitively normal older adults
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Harrington, KD, Gould, E, Lim, YY, Ames, D, Pietrzak, RH, Rembach, A, Rainey-Smith, S, Martins, RN, Salvado, O, Villemagne, VL, Rowe, CC, Masters, CL, Maruff, P, Harrington, KD, Gould, E, Lim, YY, Ames, D, Pietrzak, RH, Rembach, A, Rainey-Smith, S, Martins, RN, Salvado, O, Villemagne, VL, Rowe, CC, Masters, CL, and Maruff, P
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- 2017
231. Novel genetic loci associated with hippocampal volume
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Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, Ikram, MA, Hibar, DP, Adams, HHH, Jahanshad, N, Chauhan, G, Stein, JL, Hofer, E, Renteria, ME, Bis, JC, Arias-Vasquez, A, Ikram, MK, Desrivieres, S, Vernooij, MW, Abramovic, L, Alhusaini, S, Amin, N, Andersson, M, Arfanakis, K, Aribisala, BS, Armstrong, NJ, Athanasiu, L, Axelsson, T, Beecham, AH, Beiser, A, Bernard, M, Blanton, SH, Bohlken, MM, Boks, MP, Bralten, J, Brickman, AM, Carmichael, O, Chakravarty, MM, Chen, Q, Ching, CRK, Chouraki, V, Cuellar-Partida, G, Crivello, F, Den Braber, A, Nhat, TD, Ehrlich, S, Giddaluru, S, Goldman, AL, Gottesman, RF, Grimm, O, Griswold, ME, Guadalupe, T, Gutman, BA, Hass, J, Haukvik, UK, Hoehn, D, Holmes, AJ, Hoogman, M, Janowitz, D, Jia, T, Jorgensen, KN, Karbalai, N, Kasperaviciute, D, Kim, S, Klein, M, Kraemer, B, Lee, PH, Liewald, DCM, Lopez, LM, Luciano, M, Macare, C, Marquand, AF, Matarin, M, Mather, KA, Mattheisen, M, McKay, DR, Milaneschi, Y, Maniega, SM, Nho, K, Nugent, AC, Nyquist, P, Loohuis, LMO, Oosterlaan, J, Papmeyer, M, Pirpamer, L, Puetz, B, Ramasamy, A, Richards, JS, Risacher, SL, Roiz-Santianez, R, Rommelse, N, Ropele, S, Rose, EJ, Royle, NA, Rundek, T, Saemann, PG, Saremi, A, Satizabal, CL, Schmaal, L, Schork, AJ, Shen, L, Shin, J, Shumskaya, E, Smith, AV, Sprooten, E, Strike, LT, Teumer, A, Tordesillas-Gutierrez, D, Toro, R, Trabzuni, D, Trompet, S, Vaidya, D, Van der Grond, J, Van der Lee, SJ, Van der Meer, D, Van Donkelaar, MMJ, Van Eijk, KR, Van Erp, TGM, Van Rooij, D, Walton, E, Westlye, LT, Whelan, CD, Windham, BG, Winkler, AM, Wittfeld, K, Woldehawariat, G, Wolf, C, Wolfers, T, Yanek, LR, Yang, J, Zijdenbos, A, Zwiers, MP, Agartz, I, Almasy, L, Ames, D, Amouyel, P, Andreassen, OA, Arepalli, S, Assareh, AA, Barral, S, Bastin, ME, Becker, DM, Becker, JT, Bennett, DA, Blangero, J, van Bokhoven, H, Boomsma, DI, Brodaty, H, Brouwer, RM, Brunner, HG, Buckner, RL, Buitelaar, JK, Bulayeva, KB, Cahn, W, Calhoun, VD, Cannon, DM, Cavalleri, GL, Cheng, C-Y, Cichon, S, Cookson, MR, Corvin, A, Crespo-Facorro, B, Curran, JE, Czisch, M, Dale, AM, Davies, GE, De Craen, AJM, De Geus, EJC, De Jager, PL, De Zubicaray, GI, Deary, IJ, Debette, S, DeCarli, C, Delanty, N, Depondt, C, DeStefano, A, Dillman, A, Djurovic, S, Donohoe, G, Drevets, WC, Duggirala, R, Dyer, TD, Enzinger, C, Erk, S, Espeseth, T, Fedko, IO, Fernandez, G, Ferrucci, L, Fisher, SE, Fleischman, DA, Ford, I, Fornage, M, Foroud, TM, Fox, PT, Francks, C, Fukunaga, M, Gibbs, JR, Glahn, DC, Gollub, RL, Goring, HHH, Green, RC, Gruber, O, Gudnason, V, Guelfi, S, Haberg, AK, Hansell, NK, Hardy, J, Hartman, CA, Hashimoto, R, Hegenscheid, K, Heinz, A, Le Hellard, S, Hernandez, DG, Heslenfeld, DJ, Ho, B-C, Hoekstra, PJ, Hoffmann, W, Hofman, A, Holsboer, F, Homuth, G, Hosten, N, Hottenga, J-J, Huentelman, M, Pol, HEH, Ikeda, M, Jack, CR, Jenkinson, M, Johnson, R, Joensson, EG, Jukema, JW, Kahn, RS, Kanai, R, Kloszewska, I, Knopman, DS, Kochunov, P, Kwok, JB, Lawrie, SM, Lemaitre, H, Liu, X, Longo, DL, Lopez, OL, Lovestone, S, Martinez, O, Martinot, J-L, Mattay, VS, McDonald, C, McIntosh, AM, McMahon, FJ, McMahon, KL, Mecocci, P, Melle, I, Meyer-Lindenberg, A, Mohnke, S, Montgomery, GW, Morris, DW, Mosley, TH, Muhleisen, TW, Mueller-Myhsok, B, Nalls, MA, Nauck, M, Nichols, TE, Niessen, WJ, Nothen, MM, Nyberg, L, Ohi, K, Olvera, RL, Ophoff, RA, Pandolfo, M, Paus, T, Pausova, Z, Penninx, BWJH, Pike, GB, Potkin, SG, Psaty, BM, Reppermund, S, Rietschel, M, Roffman, JL, Romanczuk-Seiferth, N, Rotter, JI, Ryten, M, Sacco, RL, Sachdev, PS, Saykin, AJ, Schmidt, R, Schmidt, H, Schofield, PR, Sigursson, S, Simmons, A, Singleton, A, Sisodiya, SM, Smith, C, Smoller, JW, Soininen, H, Steen, VM, Stott, DJ, Sussmann, JE, Thalamuthu, A, Toga, AW, Traynor, BJ, Troncoso, J, Tsolaki, M, Tzourio, C, Uitterlinden, AG, Hernandez, MCV, Van der Brug, M, van der Lugt, A, van der Wee, NJA, Van Haren, NEM, van't Ent, D, Van Tol, M-J, Vardarajan, BN, Vellas, B, Veltman, DJ, Voelzke, H, Walter, H, Wardlaw, JM, Wassink, TH, Weale, ME, Weinberger, DR, Weiner, MW, Wen, W, Westman, E, White, T, Wong, TY, Wright, CB, Zielke, RH, Zonderman, AB, Martin, NG, Van Duijn, CM, Wright, MJ, Longstreth, WT, Schumann, G, Grabe, HJ, Franke, B, Launer, LJ, Medland, SE, Seshadri, S, Thompson, PM, and Ikram, MA
- Abstract
The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.
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- 2017
232. The impact of telephone-delivered cognitive behaviour therapy and befriending on mood disorders in people with chronic obstructive pulmonary disease: A randomized controlled trial
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Doyle, C, Bhar, S, Fearn, M, Ames, D, Osborne, D, You, E, Gorelik, A, Dunt, D, Doyle, C, Bhar, S, Fearn, M, Ames, D, Osborne, D, You, E, Gorelik, A, and Dunt, D
- Abstract
OBJECTIVES: The main objectives of this pragmatic randomized controlled trial were to investigate the impact of cognitive behaviour therapy (CBT) and an active social control (befriending) on depression and anxiety symptoms in people with chronic obstructive pulmonary disease (COPD). METHODS: Eligible participants were randomly allocated to receive eight weekly telephone interventions of CBT (n = 54) or befriending (n = 56). Repeated-measures ANOVA was used to assess changes in scores and Cohen's d was used to assess effect sizes. RESULTS: Significant improvement was observed in anxiety symptoms for the befriending group from baseline (T1) to post-intervention assessment (T2) and to 8-week follow-up assessment (T3), with a small to medium effect size (Cohen's d = 0.3). Significant improvement was noted in depression symptoms from T1 to T2 for both groups, but only the CBT group had a significant difference at T3, with a small to medium effect size (Cohen's d = 0.4). For secondary outcomes, there was a significant change in COPD symptoms from T1 to T2 for the befriending group; however, at T3 this change was no longer significant. Finally, there was a significant change in general self-efficacy for both groups between T1 and T2, and T1 and T3. CONCLUSION: Cognitive behaviour therapy reduced depression symptoms but not anxiety. Befriending reduced depression symptoms in the short term and anxiety symptoms in both the short term and long term. Further research is needed to demonstrate non-inferiority of telephone delivery compared with other formats, and to understand the impact of befriending which has the potential to be a cost-effective support for people with COPD. Statement of contribution What is already known on this subject? Depression and anxiety are common comorbidities in people with chronic obstructive pulmonary disease. Mood disorders are not commonly routinely treated in people with chronic obstructive pulmonary disease. Telephone-administered CBT has bee
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- 2017
233. Amyloid ß–associated cognitive decline in the absence of clinical disease progression and systemic illness
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Harrington, K., Lim, Y., Ames, D., Hassenstab, J., Laws, Simon, Martins, R., Rainey-Smith, S., Robertson, J., Rowe, C., Salvado, O., Doré, V., Villemagne, V., Snyder, P., Masters, C., Maruff, P., Harrington, K., Lim, Y., Ames, D., Hassenstab, J., Laws, Simon, Martins, R., Rainey-Smith, S., Robertson, J., Rowe, C., Salvado, O., Doré, V., Villemagne, V., Snyder, P., Masters, C., and Maruff, P.
- Abstract
© 2017 The Authors Introduction High levels of amyloid ß (Aß) are associated with cognitive decline in cognitively normal (CN) older adults. This study investigated the nature of cognitive decline in healthy individuals who did not progress to mild cognitive impairment or dementia. Method Cognition was measured over 72 months and compared between low (Aß-) and high (Aß+) CN older adults (n = 335) who did not progress to mild cognitive impairment or dementia and who remained free of severe or uncontrolled systemic illness. Results Compared to the Aß- group, the Aß+ group showed no cognitive impairment at baseline but showed substantial decline in verbal learning, episodic memory, and attention over 72 months. Discussion Moderate cognitive decline, particularly for learning and memory, was associated with Aß+ in CN older adults in the absence of clinical disease progression and uncontrolled or serious comorbid illness.
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- 2017
234. A randomized controlled trial of physical activity with individual goal-setting and volunteer mentors to overcome sedentary lifestyle in older adults at risk of cognitive decline: The INDIGO trial protocol
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Cox, K., Cyarto, E., Etherton-Beer, C., Ellis, K., Alfonso, Helman, Clare, L., Liew, D., Ames, D., Flicker, L., Almeida, O., LoGiudice, D., Lautenschlager, N., Cox, K., Cyarto, E., Etherton-Beer, C., Ellis, K., Alfonso, Helman, Clare, L., Liew, D., Ames, D., Flicker, L., Almeida, O., LoGiudice, D., and Lautenschlager, N.
- Abstract
© 2017 The Author(s). Background: Increasing physical activity (PA) effectively in those who are inactive is challenging. For those who have subjective memory complaints (SMC) or mild cognitive impairment (MCI) this is a greater challenge necessitating the need for more engaging and innovative approaches. The primary aim of this trial is to determine whether a home-based 6-month PA intervention with individual goal-setting and peer mentors (GM-PA) can significantly increase PA levels in insufficiently active older adults at increased risk of developing Alzheimer's disease (AD). Methods: Community living 60-80 year olds with SMC or MCI who do not engage in more than 60 min per week of moderate intensity PA will be recruited from memory clinics and the community via media advertisements to participate in this randomized, single-blind controlled trial. All participants will receive an individually tailored home-based PA program of 150 min of moderate intensity walking/week for 6 months. The intervention group will undertake individual goal-setting and behavioral education workshops with mentor support via telephone (GM-PA). Those randomized to the control group will have standard education workshops and Physical Activity Liaison (PAL) contact via telephone (CO-PA). Increase in PA is the primary outcome, fitness, cognitive, personality, demographic and clinical parameters will be measured and a health economic analysis performed. A saliva sample will be collected for APOE e4 genotyping. All participants will have a goal-setting interview to determine their PA goals. Active volunteers aged 50-85 years will be recruited from the community randomized and trained to provide peer support as mentors (intervention group) or PALS (control group) for the 6-month intervention. Mentors and PALS will have PA, exercise self-efficacy and mentoring self-efficacy measured. Participants in both groups are asked to attend 3 workshops in 6 months. At the first workshop, they will meet the
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- 2017
235. BDNF Val66Met in preclinical Alzheimer's disease is associated with short-term changes in episodic memory and hippocampal volume but not serum mBDNF
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Lim, Y., Rainey-Smith, S., Laws, Simon, Gupta, V., Porter, T., Bourgeat, P., Ames, D., Fowler, C., Salvado, O., Villemagne, V., Rowe, C., Masters, C., Zhou, X., Martins, R., Maruff, P., Lim, Y., Rainey-Smith, S., Laws, Simon, Gupta, V., Porter, T., Bourgeat, P., Ames, D., Fowler, C., Salvado, O., Villemagne, V., Rowe, C., Masters, C., Zhou, X., Martins, R., and Maruff, P.
- Abstract
Copyright © International Psychogeriatric Association 2017. Background: The brain-derived neurotrophic factor (BDNF) Val66Met polymorphism Met allele exacerbates amyloid (Aβ) related decline in episodic memory (EM) and hippocampal volume (HV) over 36-54 months in preclinical Alzheimer's disease (AD). However, the extent to which Aβ+ and BDNF Val66Met is related to circulating markers of BDNF (e.g. serum) is unknown. We aimed to determine the effect of Aβ and the BDNF Val66Met polymorphism on levels of serum mBDNF, EM, and HV at baseline and over 18-months. Methods: Non-demented older adults (n = 446) underwent Aβ neuroimaging and BDNF Val66Met genotyping. EM and HV were assessed at baseline and 18 months later. Fasted blood samples were obtained from each participant at baseline and at 18-month follow-up. Aβ PET neuroimaging was used to classify participants as Aβ- or Aβ+. Results: At baseline, Aβ+ adults showed worse EM impairment and lower serum mBDNF levels relative to Aβ- adults. BDNF Val66Met polymorphism did not affect serum mBDNF, EM, or HV at baseline. When considered over 18-months, compared to Aβ- Val homozygotes, Aβ+ Val homozygotes showed significant decline in EM and HV but not serum mBDNF. Similarly, compared to Aβ+ Val homozygotes, Aβ+ Met carriers showed significant decline in EM and HV over 18-months but showed no change in serum mBDNF. Conclusion: While allelic variation in BDNF Val66Met may influence Aβ+ related neurodegeneration and memory loss over the short term, this is not related to serum mBDNF. Longer follow-up intervals may be required to further determine any relationships between serum mBDNF, EM, and HV in preclinical AD.
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- 2017
236. Increased Carbohydrate Intake is Associated with Poorer Performance in Verbal Memory and Attention in an APOE Genotype-Dependent Manner
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Gardener, S., Rainey-Smith, S., Sohrabi, H., Weinborn, M., Verdile, Giuseppe, Fernando, W., Lim, Y., Harrington, K., Burnham, S., Taddei, K., Masters, C., Macaulay, S., Rowe, C., Ames, D., Maruff, P., Martins, R., Gardener, S., Rainey-Smith, S., Sohrabi, H., Weinborn, M., Verdile, Giuseppe, Fernando, W., Lim, Y., Harrington, K., Burnham, S., Taddei, K., Masters, C., Macaulay, S., Rowe, C., Ames, D., Maruff, P., and Martins, R.
- Abstract
Evidence suggests that a diet low in carbohydrates can impact on cognitive performance among those with Alzheimer's disease (AD). However, there is a lack of data assessing this relationship among cognitively normal (CN) older adults at increased future risk of developing AD due to carriage of the apolipoprotein E (APOE) ?4 allele. We assessed the cross-sectional association between carbohydrate intake, cognitive performance, and cerebral amyloid-ß (Aß) load in CN older adults, genotyped for APOE ?4 allele carrier status. Greater carbohydrate intake was associated with poorer performance in verbal memory in APOE ?4 allele non-carriers, and poorer performance in attention in APOE ?4 allele carriers. There were no associations between carbohydrate intake and cerebral Aß load. These results provide support to the idea that decreasing carbohydrate intake may offer neurocognitive benefits, with specific cognitive domains affected in an APOE genotype-dependent manner. These findings warrant further investigation utilizing a longitudinal study design.
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- 2017
237. Monitoring Epoxy Cure Kinetics with a Viscosity-Dependent Fluorescent Probe
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Levy, R. L., Ames, D. P., and Lee, Lieng-Huang, editor
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- 1984
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238. Time Resolution In Precipitation and Cloud Sampling
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Marsh, A. R., Ames, D. L., Clark, P. A., Gervat, G. P., McElroy, W. J., Unsworth, M. H., editor, and Fowler, D., editor
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- 1988
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239. Erratum: Clearance mechanisms of Alzheimer's amyloid-β peptide: implications for therapeutic design and diagnostic tests
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Bates, K A, Verdile, G, Li, Q-X, Ames, D, Hudson, P, Masters, C L, and Martins, R N
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- 2009
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240. La sorcellerie chez les Wolof
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Ames, D.
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- 1960
241. HANDWRITING OF THE FUTURE
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AMES, D. T.
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- 1894
242. Stratigraphic ant tectonic setting of the Paleoproterozoic Ruttan Cu-Zn VHMS deposit, Rusty Lake belt, Trans-Hudson Orogen
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Ames, D E, primary
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- 1996
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243. Geology of the West Anomaly orebody, Ruttan volcanic-hosted massive sulphide deposit, Proterozoic Rusty Lake belt
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Ames, D E, primary and Taylor, C, additional
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- 1996
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244. POTENTIALLY INAPPROPRIATE MEDICATION AND MORTALITY IN OLDER PEOPLE ATTENDING MEMORY CLINICS
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Cross, A.J., primary, George, J., additional, Woodward, M., additional, Ames, D., additional, Brodaty, H., additional, Wolfe, R., additional, Connors, M., additional, and Elliott, R., additional
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- 2017
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245. PET-only 18F-AV1451 tau quantification
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Bourgeat, P., primary, Villemagne, V. L., additional, Dore, V., additional, Masters, C. L., additional, Ames, D., additional, Rowe, C. C., additional, Salvado, O., additional, and Fripp, J., additional
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- 2017
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246. Controls on and geological setting of regional hydrothermal alteration within the Onaping Formation, footwall to the Errington and Vermilion base metal deposits, Sudbury Structure, Ontario
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Ames, D E, primary and Gibson, H L, additional
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- 1995
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247. 001 OP: UCL QUALITATIVE HEALTH RESEARCH SYMPOSIUM 2015: ENRICHING QUALITATIVE INQUIRY IN HEALTH
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Baim-Lance, A, Black, G, Llewellyn, H, McGregor, LM, Vindrola-Padros, C, Vňuková, M, Vrinten, C, Dobson, CM, Brown, SR, Russell, AJ, Rubin, GP, Stevenson, F, Gibson, W, Pelletier, C, Park, S, Chrysikou, V, Morant, N, Lloyd-Evans, B, Shaw, J, Patel, R, Chatterjee, HJ, Thomson, L, Casal, A Nunez, Contandriopoulos, D, Larouche, C, Gonzalez-Polledo, E, Cornish, F, Tarr, J, Shaw, S, Aicken, CRH, Estcourt, CS, Gibbs, J, Sonnenberg, P, Mercer, CH, Tickle, L, Sutcliffe, LJ, Sadiq, ST, Shahmanesh, M, Arteaga Pérez, MI, Brown, S, Eyre, L, Gilmartin, JFM, Jani, Y, Smith, FJ, Martins, A, Aldiss, S, Taylor, R, Gibson, F, Masana, L, McMullen, H, Griffiths, C, Greenhalgh, T, Moore, KJ, Ozanne, E, Dow, B, Ames, D, Osborne, K, Power, E, Papachristou, I, Hickey, G, Illife, S, Pearce, S, Romero, D, Symmonds, JN, Whitfield, T, Pavitt, A, Ducksbury, R, Lee, L, Walker, Z, and Trusson, D
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Keynote Presentation ,Poster Presentations ,UCL Symposium Abstracts ,Oral Presentations ,Article - Published
- 2015
248. Genetic contributions to variation in general cognitive function:a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)
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Davies, G., Armstrong, N., Bis, J. C., Bressler, J., Chouraki, V., Giddaluru, S., Hofer, E., Ibrahim-Verbaas, C. A., Kirin, M., Lahti, J., van der Lee, S. J., Le Hellard, S., Liu, T., Marioni, R. E., Oldmeadow, C., Postmus, I., Smith, A. V., Smith, J. A., Thalamuthu, A., Thomson, R., Vitart, V., Wang, J., Yu, L., Zgaga, L., Zhao, W., Boxall, R., Harris, S. E., Hill, W. D., Liewald, D. C., Luciano, M., Adams, H., Ames, D., Amin, N., Amouyel, P., Assareh, A. A., Au, R., Becker, J. T., Beiser, A., Berr, C., Bertram, L., Boerwinkle, E., Buckley, B. M., Campbell, H., Corley, J., De Jager, P. L., Dufouil, C., Eriksson, J. G., Espeseth, T., Faul, J. D., Ford, I., Gottesman, R. F., Griswold, M. E., Gudnason, V., Harris, T. B., Heiss, G., Hofman, A., Holliday, E. G., Huffman, J., Kardia, S. L. R., Kochan, N., Knopman, D. S., Kwok, J. B., Lambert, J-C, Lee, T., Li, G., Li, S-C, Loitfelder, M., Lopez, O. L., Lundervold, A. J., Lundquist, Anders, Mather, K. A., Mirza, S. S., Nyberg, Lars, Oostra, B. A., Palotie, A., Papenberg, G., Pattie, A., Petrovic, K., Polasek, O., Psaty, B. M., Redmond, P., Reppermund, S., Rotter, J. I., Schmidt, H., Schuur, M., Schofield, P. W., Scott, R. J., Steen, V. M., Stott, D. J., Van Swieten, J. C., Taylor, K. D., Trollor, J., Trompet, S., Uitterlinden, A. G., Weinstein, G., Widen, E., Windham, B. G., Jukema, J. W., Wright, A. F., Wright, M. J., Yang, Q., Amieva, H., Attia, J. R., Bennett, D. A., Brodaty, H., de Craen, A. J. M., Hayward, C., Ikram, M. A., Lindenberger, U., Nilsson, Lars-Göran, Porteous, D. J., Raikkonen, K., Reinvang, I., Rudan, I., Sachdev, P. S., Schmidt, R., Schofield, P. R., Srikanth, V., Starr, J. M., Turner, S. T., Weir, D. R., Wilson, J. F., Van Duijn, C., Launer, L., Fitzpatrick, A. L., Seshadri, S., Jr, T. H. Mosley, Deary, I. J., Epidemiology, Neurology, Radiology & Nuclear Medicine, Clinical Genetics, and Internal Medicine
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Male ,Neurologi ,SUSCEPTIBILITY LOCI ,Neuropsychological Tests ,Polymorphism, Single Nucleotide ,IDENTIFIES VARIANTS ,APOLIPOPROTEIN-E ,Cohort Studies ,Cognition ,OLD-AGE ,SDG 3 - Good Health and Well-being ,Humans ,Genetic Predisposition to Disease ,HUMAN INTELLIGENCE ,Aged ,TYPE-4 ALLELE ,Aged, 80 and over ,TEST BATTERIES ,Middle Aged ,Atherosclerosis ,CPG-BINDING PROTEIN-2 ,ALZHEIMERS-DISEASE ,Phenotype ,Scotland ,Neurology ,Female ,Cognition Disorders ,Immediate Communication ,HUMAN HEIGHT ,HMGN1 Protein ,Genome-Wide Association Study - Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53 949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10−9, MIR2113; rs17522122, P=2.55 × 10−8, AKAP6; rs10119, P=5.67 × 10−9, APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10−6). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10−17). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer’s disease: TOMM40, APOE, ABCG1 and MEF2C.
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- 2015
249. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)
- Author
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Davies, G., Armstrong, N., Bis, J.C., Bressler, J., Chouraki, V., Giddaluru, S., Hofer, E., Ibrahim-Verbaas, C.A., Kirin, M., Lahti, J., Lee, S.J. van der, Hellard, S. le, Liu, T., Marioni, R.E., Oldmeadow, C., Postmus, I., Smith, A.V., Smith, J.A., Thalamuthu, A., Thomson, R., Vitart, V., Wang, J., Yu, L., Zgaga, L., Zhao, W., Boxall, R., Harris, S.E., Hill, W.D., Liewald, D.C., Luciano, M., Adams, H., Ames, D., Amin, N., Amouyel, P., Assareh, A.A., Au, R., Becker, J.T., Beiser, A., Berr, C., Bertram, L., Boerwinkle, E., Buckley, B.M., Campbell, H., Corley, J., Jager, P.L. de, Dufouil, C., Eriksson, J.G., Espeseth, T., Faul, J.D., Ford, I., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Heiss, G., Hofman, A., Holliday, E.G., Huffman, J., Kardia, S.L.R., Kochan, N., Knopman, D.S., Kwok, J.B., Lambert, J.C., Lee, T., Li, G., Li, S.C., Loitfelder, M., Lopez, O.L., Lundervold, A.J., Lundqvist, A., Mather, K.A., Mirza, S.S., Nyberg, L., Oostra, B.A., Palotie, A., Papenberg, G., Pattie, A., Petrovic, K., Polasek, O., Psaty, B.M., Redmond, P., Reppermund, S., Rotter, J.I., Schmidt, H., Schuur, M., Schofield, P.W., Scott, R.J., Steen, V.M., Stott, D.J., Swieten, J.C. van, Taylor, K.D., Trollor, J., Trompet, S., Uitterlinden, A.G., Weinstein, G., Widen, E., Windham, B.G., Jukema, J.W., Wright, A.F., Wright, M.J., Yang, Q., Amieva, H., Attia, J.R., Bennett, D.A., Brodaty, H., Craen, A.J.M. de, Hayward, C., Ikram, M.A., Lindenberger, U., Nilsson, L.G., Porteous, D.J., Raikkonen, K., Reinvang, I., Rudan, I., Sachdev, P.S., Schmidt, R., Schofield, P.R., Srikanth, V., Starr, J.M., Turner, S.T., Weir, D.R., Wilson, J.F., Duijn, C. van, Launer, L., Fitzpatrick, A.L., Seshadri, S., Jr, T.H.M., Deary, I.J., and Generation Scotland
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Medisinske fag: 700::Basale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk genetikk: 714 [VDP] ,Social sciences: 200::Psychology: 260::Cognitive psychology: 267 [VDP] ,Midical sciences: 700::Basic medical, dental and veterinary sciences: 710::Medical genetics: 714 [VDP] ,Samfunnsvitenskap: 200::Psykologi: 260::Kognitiv psykologi: 267 [VDP] - Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53 949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10−9, MIR2113; rs17522122, P=2.55 × 10−8, AKAP6; rs10119, P=5.67 × 10−9, APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10−6). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10−17). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer’s disease: TOMM40, APOE, ABCG1 and MEF2C. publishedVersion
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- 2015
250. Dietary patterns and cognitive decline in an Australian study of ageing
- Author
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Gardener, S.L. Rainey-Smith, S.R. Barnes, M.B. Sohrabi, H.R. Weinborn, M. Lim, Y.Y. Harrington, K. Taddei, K. Gu, Y. Rembach, A. Szoeke, C. Ellis, K.A. Masters, C.L. Macaulay, S.L. Rowe, C.C. Ames, D. Keogh, J.B. Scarmeas, N. Martins, R.N.
- Abstract
The aim of this paper was to investigate the association of three well-recognised dietary patterns with cognitive change over a 3-year period. Five hundred and twenty-seven healthy participants from the Australian Imaging, Biomarkers and Lifestyle study of ageing completed the Cancer Council of Victoria food frequency questionnaire at baseline and underwent a comprehensive neuropsychological assessment at baseline, 18 and 36 months follow-up. Individual neuropsychological test scores were used to construct composite scores for six cognitive domains and a global cognitive score. Based on self-reported consumption, scores for three dietary patterns, (1) Australian-style Mediterranean diet (AusMeDi), (2) western diet and (3) prudent diet were generated for each individual. Linear mixed model analyses were conducted to examine the relationship between diet scores and cognitive change in each cognitive domain and for the global score. Higher baseline adherence to the AusMeDi was associated with better performance in the executive function cognitive domain after 36 months in apolipoprotein E (APOE) ε4 allele carriers (P
- Published
- 2015
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