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Background: The nonmotor symptom spectrum of Parkinson’s disease (PD) includes progressive cognitive decline mainly in late stages of the disease. The aim of this study was to map the patterns of altered structural connectivity of patients with PD with different cognitive profiles ranging from cognitively unimpaired to PD-associated dementia.
Methods: Diffusion tensor imaging and neuropsychological data from the observational multicentre LANDSCAPE study were analyzed. A total of 134 patients with PD with normal cognitive function (56 PD-N), mild cognitive impairment (67 PD-MCI), and dementia (11 PD-D) as well as 72 healthy controls were subjected to whole-brain-based fractional anisotropy mapping and covariance analysis with cognitive performance measures.
Results: Structural data indicated subtle changes in the corpus callosum and thalamic radiation in PD-N, whereas severe white matter impairment was observed in both PD-MCI and PD-D patients including anterior and inferior fronto-occipital, uncinate, insular cortices, superior longitudinal fasciculi, corona radiata, and the body of the corpus callosum. These regional alterations were demonstrated for PD-MCI and were more pronounced in PD-D. The pattern of involved regions was significantly correlated with the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) total score.
Conclusions: The findings in PD-N suggest impaired cross-hemispherical white matter connectivity that can apparently be compensated for. More pronounced involvement of the corpus callosum as demonstrated for PD-MCI together with affection of fronto-parieto-temporal structural connectivity seems to lead to gradual disruption of cognition-related cortico-cortical networks and to be associated with the onset of overt cognitive deficits. The increase of regional white matter damage appears to be associated with the development of PD-associated dementia.
Based on accumulating evidence of a role of lipid signaling in many physiological and pathophysiological processes including psychiatric diseases, the present data driven analysis was designed to gather information needed to develop a prospective biomarker, using a targeted lipidomics approach covering different lipid mediators. Using unsupervised methods of data structure detection, implemented as hierarchal clustering, emergent self-organizing maps of neuronal networks, and principal component analysis, a cluster structure was found in the input data space comprising plasma concentrations of d = 35 different lipid-markers of various classes acquired in n = 94 subjects with the clinical diagnoses depression, bipolar disorder, ADHD, dementia, or in healthy controls. The structure separated patients with dementia from the other clinical groups, indicating that dementia is associated with a distinct lipid mediator plasma concentrations pattern possibly providing a basis for a future biomarker. This hypothesis was subsequently assessed using supervised machine-learning methods, implemented as random forests or principal component analysis followed by computed ABC analysis used for feature selection, and as random forests, k-nearest neighbors, support vector machines, multilayer perceptron, and naïve Bayesian classifiers to estimate whether the selected lipid mediators provide sufficient information that the diagnosis of dementia can be established at a higher accuracy than by guessing. This succeeded using a set of d = 7 markers comprising GluCerC16:0, Cer24:0, Cer20:0, Cer16:0, Cer24:1, C16 sphinganine, and LacCerC16:0, at an accuracy of 77%. By contrast, using random lipid markers reduced the diagnostic accuracy to values of 65% or less, whereas training the algorithms with randomly permuted data was followed by complete failure to diagnose dementia, emphasizing that the selected lipid mediators were display a particular pattern in this disease possibly qualifying as biomarkers.
The most frequent neurodegenerative diseases (NDs) are Alzheimer’s disease (AD), Parkinson’s disease (PD), and frontotemporal lobar degeneration associated with protein TDP-43 (FTLD–TDP). Neuropathologically, NDs are characterized by abnormal intracellular and extra-cellular protein deposits and by disease-specific neuronal death. Practically all terminal stages of NDs are clinically associated with dementia. Therefore, major attention was directed to protein deposits and neuron loss in supratentorial (telencephalic) brain regions in the course of NDs. This was also true for PD, although the pathological hallmark of PD is degeneration of pigmented neurons of the brainstem’s substantia nigra (SN). However, PD pathophysiology was explained by dopamine depletion in the telencephalic basal ganglia due to insufficiency and degeneration of the projection neurons located in SN. In a similar line of argumentation AD- and FTLD-related clinical deficits were exclusively explained by supratentorial allo- and neo-cortical laminar neuronal necrosis. Recent comprehensive studies in AD and PD early stages found considerable and unexpected involvement of brainstem nuclei, which could have the potential to profoundly change our present concepts on origin, spread, and early clinical diagnosis of these diseases. In contrast with PD and AD, few studies addressed brainstem involvement in the course of the different types of FTLD–TDP. Some of the results, including ours, disclosed a higher and more widespread pathology than anticipated. The present review will focus mainly on the impact of brainstem changes during the course of the most frequent NDs including PD, AD, and FTLD–TDP, with special emphasis on the need for more comprehensive research on FTLDs.
The role of microglial cells in the pathogenesis of Alzheimer’s disease (AD) neurodegeneration is unknown. Although several works suggest that chronic neuroinflammation caused by activated microglia contributes to neurofibrillary degeneration, anti-inflammatory drugs do not prevent or reverse neuronal tau pathology. This raises the question if indeed microglial activation occurs in the human brain at sites of neurofibrillary degeneration. In view of the recent work demonstrating presence of dystrophic (senescent) microglia in aged human brain, the purpose of this study was to investigate microglial cells in situ and at high resolution in the immediate vicinity of tau-positive structures in order to determine conclusively whether degenerating neuronal structures are associated with activated or with dystrophic microglia. We used a newly optimized immunohistochemical method for visualizing microglial cells in human archival brain together with Braak staging of neurofibrillary pathology to ascertain the morphology of microglia in the vicinity of tau-positive structures. We now report histopathological findings from 19 humans covering the spectrum from none to severe AD pathology, including patients with Down’s syndrome, showing that degenerating neuronal structures positive for tau (neuropil threads, neurofibrillary tangles, neuritic plaques) are invariably colocalized with severely dystrophic (fragmented) rather than with activated microglial cells. Using Braak staging of Alzheimer neuropathology we demonstrate that microglial dystrophy precedes the spread of tau pathology. Deposits of amyloid-beta protein (A beta) devoid of tau-positive structures were found to be colocalized with non-activated, ramified microglia, suggesting that A beta does not trigger microglial activation. Our findings also indicate that when microglial activation does occur in the absence of an identifiable acute central nervous system insult, it is likely to be the result of systemic infectious disease. The findings reported here strongly argue against the hypothesis that neuroinflammatory changes contribute to AD dementia. Instead, they offer an alternative hypothesis of AD pathogenesis that takes into consideration: (1) the notion that microglia are neuron-supporting cells and neuroprotective; (2) the fact that development of non-familial, sporadic AD is inextricably linked to aging. They support the idea that progressive, aging-related microglial degeneration and loss of microglial neuroprotection rather than induction of microglial activation contributes to the onset of sporadic Alzheimer’s disease. The results have far-reaching implications in terms of reevaluating current treatment approaches towards AD.
The hypothesis that oxidative stress plays a role in the pathogenesis of Alzheimer’s disease (AD) was tested by studying oxidative damage, acitvities of antioxidant enzymes and levels of reactive oxygen species (ROS) in several models. To this end, mouse models transgenic for mutant presenilin (PS1M146L) as well as mutant amyloid precursor protein (APP) and human post mortem brain tissue from sporadic AD patients and age-matched controls were studied. Aging leads to an upregulation of antioxidant enzyme activities of Cu/Zn-superoxide dismutase (Cu/Zn-SOD), glutathione peroxidase (GPx) and glutathione reductase (GR) in brains from C57BL/6J mice. Simultaneously, levels of lipid peroxidation products malondialdehyde MDA and 4-hydroxynonenal HNE were reduced. Additionally, pronounced gender effects were observed, as female mice display better protection against oxidative damage due to higher activity of GPx. Hence, antioxidant enzymes provide an important contribution to the protection against oxidative damage. In PS1M146L transgenic mice oxidative damage was only detectable in 19-22 months old mice, arguing for an additive effect of aging and the PS1 mutation. Both HNE levels in brain tissue as well as mitochondrial and cytosolic levels of ROS in splenic lymphocytes were increased in PS1M146L mice. Antioxidant defences were unaltered. In PDGF-APP and PDGF-APP/PS1 trangenic mice no changes in any of the parameters studied were observed in any age group. In contrast, Thy1-APP transgenic mice display oxidative damage as assessed by increased HNE levels. Reduced activity of Cu/Zn-SOD may explain this observation. Additionally, gender modified this effect, as female APP transgenic mice display higher b-secretase cleavage of APP and simultaneously increased HNE levels and reduced Cu/Zn-SOD activity earlier than male mice, i.e. from an age of 3 months and before the formation of Ab plaques. Reduced Cu/Zn-SOD activity was also found in another APP transgenic mouse model, in APP23 mice. In post mortem brain tissue from sporadic AD patients activities of Cu/Zn-SOD and GPx were however increased, and changes were most pronounced in temporal cortex. Simultaneously, levels of HNE but not MDA were elevated. Additionally, in vitro stimulation of lipid peroxidation led to increased MDA formation in samples from AD patients, indicating that increased activity of Cu/Zn-SOD and GPx are insufficient to protect against oxidative damage. Furthermore, the observed changes were subject to a gender effect, as samples from female AD patients showed increased activities of Cu/Zn-SOD and GPx as well as increased HNE levels, indicating that brain tissue from females is more sensitive towards oxidative damage. Levels of soluble Ab1-40 were positively correlated with with MDA levels and activities of Cu/Zn-SOD and GPx. Additionally, levels of lipid peroxidation products MDA and HNE are gene-dose-dependently modulated by the Apolipoprotein E4 allele, the most important genetic risk factor for AD known so far. While MDA levels were negatively correlated with MMSE scores, a measure for cognitive function, HNE levels were highest in AD patients with moderate cognitive impairment. Hence, increased HNE levels may play an important role in neurodegenerative events at an early disease stage. In summary, oxidative damage, as assessed by increased HNE levels, could be detected in sporadic AD patients and in different transgenic mouse models. The results of this thesis therefore support the further research of pharmacological targets aiming at augmentation of antioxidant defences for therapy or prophylaxis of Alzheimer’s disease.