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1.
J Alzheimers Dis ; 77(3): 1005-1015, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32804131

RESUMO

BACKGROUND: The pathological features of Alzheimer's disease (AD) are well described but little is known as to how both neurodegeneration and vascular changes might interact in causing cognitive impairment. OBJECTIVE: The present study aims to investigate relationships between vascular and AD pathology in cognitively healthy and cognitively impaired individuals with a particular emphasis on those at intermediate Braak tau stages. METHODS: We investigated the interplay between Braak tau stage and measures of vascular pathology as described by the vascular cognitive impairment neuropathology guidelines (VCING) in 185 brains from the Brains for Dementia Research programme and The University of Manchester Longitudinal Study of Cognition in Healthy Old Age. VCING asserts that at least one large (>10 mm) infarct, moderate/severe occipital leptomeningeal cerebral amyloid angiopathy, and moderate/severe arteriosclerosis in occipital white matter accurately predicts the contribution of cerebrovascular pathology to cognitive impairment. RESULTS: We found that the extent of arteriosclerosis in the occipital white matter did not differ between cognitive groups at intermediate (III-IV) Braak stages whereas moderate/severe leptomeningeal occipital cerebral amyloid angiopathy was greater in cognitively impaired than normal individuals at Braak stage III-IV. This finding remained significant after controlling for effects of age, sex, CERAD score, Thal phase, presence/severity of primary age-related tauopathy, presence/severity of limbic-predominant age-related TDP43 encephalopathy and small vessel disease in basal ganglia. CONCLUSION: Interventions targeting cerebral amyloid angiopathy may contribute to delay the onset of cognitive impairment in individuals with intermediate Alzheimer's type pathology.


Assuntos
Disfunção Cognitiva/patologia , Arteriosclerose Intracraniana/patologia , Tauopatias/patologia , Proteínas tau , Idoso , Idoso de 80 Anos ou mais , Disfunção Cognitiva/etiologia , Disfunção Cognitiva/metabolismo , Estudos de Coortes , Feminino , Humanos , Arteriosclerose Intracraniana/complicações , Arteriosclerose Intracraniana/metabolismo , Estudos Longitudinais , Masculino , Tauopatias/complicações , Tauopatias/metabolismo , Substância Branca/irrigação sanguínea , Substância Branca/metabolismo , Substância Branca/patologia , Proteínas tau/metabolismo
2.
J Alzheimers Dis ; 73(2): 619-632, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31796669

RESUMO

In the present study, we have characterized and compared individuals whose brains were donated as part of The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age (UoM) with those donated through the Manchester arm of the UK Brains for Dementia Research (BDR) program. The aim of this study was to investigate how differences in study recruitment may affect final pathological composition of cohort studies. The UoM cohort was established as a longitudinal study of aging and cognition whereas the BDR program was established, prima facie, to collect brains from both demented and non-demented individuals for the purpose of building a tissue research resource. Consequently, the differences in recruitment patterns generated differences in demographic, clinical, and neuropathological characteristics. There was a higher proportion of recruits with dementia [mostly Alzheimer's disease (AD)] within the BDR cohort than in the UoM cohort. In pathological terms, the BDR cohort was more 'polarized', being more composed of demented cases with high Braak pathology scores and non-demented cases with low Braak scores, and fewer non-AD pathology cases, than the UoM cohort. In both cohorts, cerebral amyloid angiopathy tended to be greater in demented than non-demented individuals. Such observations partly reflect the recruitment of demented and non-demented individuals into the BDR cohort, and also that insufficient study time may have elapsed for disease onset and development in non-demented individuals to take place. Conversely, in the UoM cohort, where there had been nearly 30 years of study time, a broader spread of AD-type pathological changes had 'naturally' evolved in the brains of both demented and non-demented participants.


Assuntos
Envelhecimento/patologia , Encéfalo/patologia , Cognição , Demência/patologia , Envelhecimento Saudável/psicologia , Idade de Início , Idoso , Idoso de 80 Anos ou mais , Envelhecimento/genética , Doença de Alzheimer/epidemiologia , Doença de Alzheimer/patologia , Doença de Alzheimer/psicologia , Apolipoproteínas E/genética , Encéfalo/crescimento & desenvolvimento , Angiopatia Amiloide Cerebral/patologia , Disfunção Cognitiva/epidemiologia , Disfunção Cognitiva/genética , Estudos de Coortes , DNA/genética , Demência/epidemiologia , Demência/psicologia , Feminino , Envelhecimento Saudável/genética , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Testes Neuropsicológicos , Seleção de Pacientes , Reino Unido/epidemiologia
3.
Metabolomics ; 11: 9-26, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25598764

RESUMO

Phenotyping of 1,200 'healthy' adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites present in serum by applying a series of chromatography-mass spectrometry platforms. These data were made robust to instrumental drift by numerical correction; this was prerequisite to allow detection of subtle metabolic differences. The variation in observed metabolite relative concentrations between the 1,200 subjects ranged from less than 5 % to more than 200 %. Variations in metabolites could be related to differences in gender, age, BMI, blood pressure, and smoking. Investigations suggest that a sample size of 600 subjects is both necessary and sufficient for robust analysis of these data. Overall, this is a large scale and non-targeted chromatographic MS-based metabolomics study, using samples from over 1,000 individuals, to provide a comprehensive measurement of their serum metabolomes. This work provides an important baseline or reference dataset for understanding the 'normal' relative concentrations and variation in the human serum metabolome. These may be related to our increasing knowledge of the human metabolic network map. Information on the Husermet study is available at http://www.husermet.org/. Importantly, all of the data are made freely available at MetaboLights (http://www.ebi.ac.uk/metabolights/).

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