7 resultados para Aids dementia complex

em Aston University Research Archive


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AIDS dementia complex is a common neurological syndrome thought to result from the invasion of the CNS by HIV. Phosphonoformate has anti-HIV activity but due to its charged nature is excluded from the CNS by the blood-brain barrier. Lipophilic triesters of phosphonoformate designed to improve transport properties are unsuitable prodrugs due to their rapid and complicated hydrolysis, involving competitive P-O and P-C bond cleavage. Diesters, though hydrolytically stable, are considered too polar to passively diffuse into the CNS. Hydrophilic drugs mimicking endogenous nutrients are known to be actively transported across the blood-brain barrier. In this thesis the possibility that diesters of phosphonoformate may be actively transported is investigated. Triesters of phosphonoformate with labile aryl carboxyl esterrs were synthesised and their hydrolysis followed by 31P NMR spectroscopy. The triesters were found to undergo rapid hydrolysis via P-C bond cleavage to the phosphite. Phosphonoformate diesters designed to be analogues of actively transported -keto acids have been synthesised and fully characterised. Tyrosine-phosphonoformate and lipid-phosphonoformate conjugates have also been synthesised and characterised. An in vitro model of the blood-brain barrier utilising confluent monolayers of porcine brain microvessel endothelial cells grown on a permeable support has been established. The presence of enzyme and antigen markers specific to the blood-brain barrier has been demonstrated for the endothelial cells and the diffusional properties of the model investigated with hydrophilic and lipophilic compounds. Active transport systems for -keto acids and large amino acids have been identified in the endothelial cell monolayers using 14C-pyruvate and 3H-L-tyrosine respectively. Temperature and concentration dependence of the two systems have been demonstrated and transport constants calculated. Competition with 14C-pyruvate transport was shown with other monocarboxylic acids including the anti-epileptic drug valproate. Stereospecificity was shown in that L-lactate inhibited pyruvate transport while D-lactate did not. Sodium methyl methoxycarbonylphosphonate, a phosphonoformate diester was shown not to compete for 14C-pyruvate transport indicating that this compound has no affinity for the carrier. Competition with 3H-L-tyrosine transport was shown with other large amino acids, including the anti-Parkinsonian agent L-dopa. Stereospecificity was shown using L- and D-tyrosine and L- and D-dopa. The tyrosine-phosphonoformate conjugate, which was stable under the experimental conditions, was shown to compete with 3H-Ltyrosine transport indicating that it may be actively transported at the blood-brain barrier. Thirty two triesters, diesters and monoesters of phosphonoformate, showed no activity in an anti-HIV screen above that attributable to hydrolysis to the parent compound.

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Plasma transferrin binding in Down syndrome and Alzheimer's disease is significantly reduced compared with age matched controls and it was thought this may help elucidate a pathological time sequence for the onset of dementia in Down syndrome. In Down syndrome, there was a reduction in gallium and aluminium transferrin binding both with age and the onset of dementia. Non-transferrin bound gallium species were identified as non-transportable phosphate or silicate. Thus, the route of entry of metals into the brain must be via a transferrin mediated complex only. A clear sequence of pathological events has been demonstrated in Down syndrome which shows the pathway to development of plaques and dementia and this is believed to have an immunological origin.

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This thesis presents an investigation, of synchronisation and causality, motivated by problems in computational neuroscience. The thesis addresses both theoretical and practical signal processing issues regarding the estimation of interdependence from a set of multivariate data generated by a complex underlying dynamical system. This topic is driven by a series of problems in neuroscience, which represents the principal background motive behind the material in this work. The underlying system is the human brain and the generative process of the data is based on modern electromagnetic neuroimaging methods . In this thesis, the underlying functional of the brain mechanisms are derived from the recent mathematical formalism of dynamical systems in complex networks. This is justified principally on the grounds of the complex hierarchical and multiscale nature of the brain and it offers new methods of analysis to model its emergent phenomena. A fundamental approach to study the neural activity is to investigate the connectivity pattern developed by the brain’s complex network. Three types of connectivity are important to study: 1) anatomical connectivity refering to the physical links forming the topology of the brain network; 2) effective connectivity concerning with the way the neural elements communicate with each other using the brain’s anatomical structure, through phenomena of synchronisation and information transfer; 3) functional connectivity, presenting an epistemic concept which alludes to the interdependence between data measured from the brain network. The main contribution of this thesis is to present, apply and discuss novel algorithms of functional connectivities, which are designed to extract different specific aspects of interaction between the underlying generators of the data. Firstly, a univariate statistic is developed to allow for indirect assessment of synchronisation in the local network from a single time series. This approach is useful in inferring the coupling as in a local cortical area as observed by a single measurement electrode. Secondly, different existing methods of phase synchronisation are considered from the perspective of experimental data analysis and inference of coupling from observed data. These methods are designed to address the estimation of medium to long range connectivity and their differences are particularly relevant in the context of volume conduction, that is known to produce spurious detections of connectivity. Finally, an asymmetric temporal metric is introduced in order to detect the direction of the coupling between different regions of the brain. The method developed in this thesis is based on a machine learning extensions of the well known concept of Granger causality. The thesis discussion is developed alongside examples of synthetic and experimental real data. The synthetic data are simulations of complex dynamical systems with the intention to mimic the behaviour of simple cortical neural assemblies. They are helpful to test the techniques developed in this thesis. The real datasets are provided to illustrate the problem of brain connectivity in the case of important neurological disorders such as Epilepsy and Parkinson’s disease. The methods of functional connectivity in this thesis are applied to intracranial EEG recordings in order to extract features, which characterize underlying spatiotemporal dynamics before during and after an epileptic seizure and predict seizure location and onset prior to conventional electrographic signs. The methodology is also applied to a MEG dataset containing healthy, Parkinson’s and dementia subjects with the scope of distinguishing patterns of pathological from physiological connectivity.

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Dementia with neurofilament inclusions (DNI) is a new disorder characterized clinically by early-onset dementia and histologically by the presence of intraneural inclusions immunopositive for neurofilament antigens but lacking tau and α-synuclein reactivity. We studied the clustering patterns of the neurofilament inclusions (NI) in regions of the temporal lobe in three cases of DNI to determine whether they have the same spatial patterns as inclusions in the tauopathies and α-synucleinopathies. The NI exhibited a clustered distribution (mean size of clusters 400 μm, range 50-800 μm, SD 687.8) in 24/28 of the areas studied. In 22 of these areas, the clusters exhibited a regular distribution along the tissue parallel to the pia mater or alveus. In 3 cortical areas, there was evidence of a more complex pattern in which the NI clusters were aggregated into larger superclusters. In 6 cortical areas, the size of the clusters approximated to those of the cells of origin of the cortico-cortical pathways but in the remaining areas cluster size was smaller than 400 μm. Despite the unique molecular profile of the NI, their spatial patterns are similar to those shown by filamentous neuronal inclusions in the tauopathies and α-synucleinopathies.

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Dementia with Lewy bodies ('Lewy body dementia' or 'diffuse Lewy body disease') (DLB) is the second most common form of dementia to affect elderly people, after Alzheimer's disease. A combination of the clinical symptoms of Alzheimer's disease and Parkinson's disease is present in DLB and the disorder is classified as a 'parkinsonian syndrome', a group of diseases which also includes Parkinson's disease, progressive supranuclear palsy, corticobasal degeneration and multiple system atrophy. Characteristics of DLB are fluctuating cognitive ability with pronounced variations in attention and alertness, recurrent visual hallucinations and spontaneous motor features, including akinesia, rigidity and tremor. In addition, DLB patients may exhibit visual signs and symptoms, including defects in eye movement, pupillary function and complex visual functions. Visual symptoms may aid the differential diagnoses of parkinsonian syndromes. Hence, the presence of visual hallucinations supports a diagnosis of Parkinson's disease or DLB rather than progressive supranuclear palsy. DLB and Parkinson's disease may exhibit similar impairments on a variety of saccadic and visual perception tasks (visual discrimination, space-motion and object-form recognition). Nevertheless, deficits in orientation, trail-making and reading the names of colours are often significantly greater in DLB than in Parkinson's disease. As primary eye-care practitioners, optometrists should be able to work with patients with DLB and their carers to manage their visual welfare.

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Conventional project management techniques are not always sufficient to ensure that schedule, cost and quality goals are met on large-scale construction projects. These jobs require complex planning, designing and implementation processes. The main reasons for a project's nonachievement in India's hydrocarbon processing industry are changes in scope and design, altered government policies and regulations, unforeseen inflation, under and/or improper estimation. Projects that are exposed to such an uncertain environment can be effectively managed by applying risk management throughout the project life cycle.

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Purpose: Dementia is associated with various alterations of the eye and visual function. Over 60% of cases are attributable to Alzheimer's disease, a significant proportion of the remainder to vascular dementia or dementia with Lewy bodies, while frontotemporal dementia, and Parkinson's disease dementia are less common. This review describes the oculo-visual problems of these five dementias and the pathological changes which may explain these symptoms. It further discusses clinical considerations to help the clinician care for older patients affected by dementia. Recent findings: Visual problems in dementia include loss of visual acuity, defects in colour vision and visual masking tests, changes in pupillary response to mydriatics, defects in fixation and smooth and saccadic eye movements, changes in contrast sensitivity function and visual evoked potentials, and disturbance of complex visual functions such as in reading ability, visuospatial function, and the naming and identification of objects. Pathological changes have also been reported affecting the crystalline lens, retina, optic nerve, and visual cortex. Clinically, issues such as cataract surgery, correcting the refractive error, quality of life, falls, visual impairment and eye care for dementia have been addressed. Summary: Many visual changes occur across dementias, are controversial, often based on limited patient numbers, and no single feature can be regarded as diagnostic of any specific dementia. Nevertheless, visual hallucinations may be more characteristic of dementia with Lewy bodies and Parkinson's disease dementia than Alzheimer's disease or frontotemporal dementia. Differences in saccadic eye movement dysfunction may also help to distinguish Alzheimer's disease from frontotemporal dementia and Parkinson's disease dementia from dementia with Lewy bodies. Eye care professionals need to keep informed of the growing literature in vision/dementia, be attentive to signs and symptoms suggestive of cognitive impairment, and be able to adapt their practice and clinical interventions to best serve patients with dementia.