Global ETD Search

21	Konditionale Inaktivierung von Pten in einem neuen Mausmodell für tomaculöse Neuropathien / Conditional inactivation of Pten in a new mouse model of tomaculous neuropathies Oltrogge, Jan Hendrik 01 February 2017 (has links) In der Entwicklung des peripheren Nervensystems formen Schwannzellen eine Myelinscheide um Axone mit einem Durchmesser von mehr als 1 μm durch die Bildung multipler kompakter Membranschichten. Voraussetzung einer optimalen Nervenleitgeschwindigkeit ist dabei ein physiologisches Verhältnis der Dicke der Myelinscheide zu dem jeweiligen Axondurchmesser. Eine zentrale Rolle spielt dabei der axonale EGF-like growth factor NRG1 Typ III, der ErbB2/3- Rezeptoren der Schwannzelle bindet. Der PI3K-AKT-Signalweg ist ein bekannter intrazellulärer Effektor des ErbB2/3-Rezeptors und wurde bereits mit dem Prozess der Myelinisierung in Verbindung gebracht. Um die spezifische Funktion des PI3K-AKT-Signalwegs in Schwannzellen zu erforschen, generierten wir mit Hilfe des Cre/LoxP-Systems Mausmutanten, die eine zellspezifische Inaktivierung des Gens Phosphatase and Tensin Homolog (Pten) in myelinisierenden Gliazellen aufweisen (Pten-Mutanten). Der Verlust der Lipidphosphatase PTEN führte zu einer Anreicherung ihres Substrates, des second messenger Phosphatidyl-(3,4,5)-Trisphosphat (PIP3), und damit zu einer gesteigerten Aktivität des PI3K-AKT-Signalwegs in den Schwannzellen der Pten-Mutanten. Wir beobachteten in den Pten-Mutanten eine ektopische Myelinisierung von unmyelinisierten C- Faser-Axonen sowie eine Hypermyelinisierung von Axonen bis 2 μm Durchmesser. Bei Axonen über 2 μm Durchmesser kam es zu Myelinausfaltungen und fokalen Hypermyelinisierungen (Tomacula) anliegend an Regionen des unkompakten Myelins (Paranodien und Schmidt- Lantermann-Inzisuren). Weiterhin bildeten die mutanten Remak-Schwannzellen unkompakte Membranwicklungen um nicht-myelinisierte C-Faser-Axone und um Kollagenfaserbündel aus („Remak-Myelin“). Sowohl in den Regionen unkompakten Myelins als auch in Remak- Schwannzellen konnte eine erhöhte Aktivität des PI3K-AKT-Signalwegs nachgewiesen werden. Vermutlich setzt die Anreicherung von PIP3 mit Überaktivierung des PI3K-AKT-Signalwegs in den mutanten Gliazellen einen zellautonomen Prozess der Umwicklung von Axonen in Gang. Die zusätzliche Bildung von „Remak-Myelin“ um Kollagenfasern, die keine Membranoberfläche besitzen, weist darauf hin, dass dieser Prozess nicht von einer bidirektionalen axo-glialen Kommunikation abzuhängen scheint. Die beobachteten Tomacula und Myelinausfaltungen zeigten Ähnlichkeiten mit Mausmodellen für hereditäre Neuropathien des Menschen, wie HNPP und CMT4B. Wir vermuten, dass PTEN im unkompakten Myelin unkontrolliertes Membranwachstum verhindert und dass eine gestörte Balance von Phosphoinositiden einen Pathomechanismus von tomaculösen Neuropathien darstellt. Somit identifizieren wir den PI3K-AKT-Signalweg als ein mögliches Ziel zukünftiger Therapiekonzepte für hereditäre Neuropathien des Menschen. 610 Myelinscheide transgenes Mausmodell Schannzellen Oligodendroglia/Physiologie Axone/Physiologie PTEN Phosphohydrolase Myelin Nervenfasern, myelinisiert Myelin Sheath Mice, transgenic Schwann Cells PTEN Phosphohydrolase/genetics Axons/Physiology Nerve Fibers, Myelinated/physiology Oligodendroglia/physiology Biologie (PPN619875151)
22	Elevated activity and microglial expression of myeloperoxidase in demyelinated cerebral cortex in multiple sclerosis Gray, E., Thomas, T. L., Betmouni, S., Scolding, N., Love, S. January 2008 (has links) No / Recent studies have revealed extensive cortical demyelination in patients with progressive multiple sclerosis (MS). Demyelination in gray matter lesions is associated with activation of microglia. Macrophages and microglia are known to express myeloperoxidase (MPO) and generate reactive oxygen species during myelin phagocytosis in the white matter. In the present study we examined the extent of microglial activation in the cerebral cortex and the relationship of microglial activation and MPO activity to cortical demyelination. Twenty-one cases of neuropathologically confirmed multiple sclerosis, with 34 cortical lesions, were used to assess microglial activation. HLA-DR immunolabeling of activated microglia was significantly higher in demyelinated MS cortex than control cortex and, within the MS cohort, was significantly greater within cortical lesions than in matched non-demyelinated areas of cortex. In homogenates of MS cortex, cortical demyelination was associated with significantly elevated MPO activity. Immunohistochemistry revealed MPO in CD68-positive microglia within cortical plaques, particularly toward the edge of the plaques, but not in microglia in adjacent non-demyelinated cortex. Cortical demyelination in MS is associated with increased activity of MPO, which is expressed by a CD68-positive subset of activated microglia, suggesting that microglial production of reactive oxygen species is likely to be involved in cortical demyelination. Adult Aged Aged 80 and over Antigens CD/immunology Metabolism Antigens Differentiation Myelomonocytic Immunology Biological markers Analysis Cerebral cortex Enzymology Pathology Physiopathology Encephalitis Enzyme activation Female Gliosis HLA-DR antigens Humans Male Microglia Middle aged Multiple Sclerosis Myelin sheath Nerve fibers Myelinated Oxidative stress Peroxidase Reactive oxygen species Up-regulation Wallerian degeneration REF 2014
23	Advanced Modeling of Longitudinal Spectroscopy Data Kundu, Madan Gopal January 2014 (has links) Indiana University-Purdue University Indianapolis (IUPUI) / Magnetic resonance (MR) spectroscopy is a neuroimaging technique. It is widely used to quantify the concentration of important metabolites in a brain tissue. Imbalance in concentration of brain metabolites has been found to be associated with development of neurological impairment. There has been increasing trend of using MR spectroscopy as a diagnosis tool for neurological disorders. We established statistical methodology to analyze data obtained from the MR spectroscopy in the context of the HIV associated neurological disorder. First, we have developed novel methodology to study the association of marker of neurological disorder with MR spectrum from brain and how this association evolves with time. The entire problem fits into the framework of scalar-on-function regression model with individual spectrum being the functional predictor. We have extended one of the existing cross-sectional scalar-on-function regression techniques to longitudinal set-up. Advantage of proposed method includes: 1) ability to model flexible time-varying association between response and functional predictor and (2) ability to incorporate prior information. Second part of research attempts to study the influence of the clinical and demographic factors on the progression of brain metabolites over time. In order to understand the influence of these factors in fully non-parametric way, we proposed LongCART algorithm to construct regression tree with longitudinal data. Such a regression tree helps to identify smaller subpopulations (characterized by baseline factors) with differential longitudinal profile and hence helps us to identify influence of baseline factors. Advantage of LongCART algorithm includes: (1) it maintains of type-I error in determining best split, (2) substantially reduces computation time and (2) applicable even observations are taken at subject-specific time-points. Finally, we carried out an in-depth analysis of longitudinal changes in the brain metabolite concentrations in three brain regions, namely, white matter, gray matter and basal ganglia in chronically infected HIV patients enrolled in HIV Neuroimaging Consortium study. We studied the influence of important baseline factors (clinical and demographic) on these longitudinal profiles of brain metabolites using LongCART algorithm in order to identify subgroup of patients at higher risk of neurological impairment. / Partial research support was provided by the National Institutes of Health grants U01-MH083545, R01-CA126205 and U01-CA086368 Spectroscopy Functional Data Analysis Longitudinal Functional Data Analysis Brownian Bridge Longitudinal CART Longitudinal Regression Tree HIV Brain metabolites HIV neuroimaging consortium LongPEER PEER Decomposition based penalty NAA Creatine Myo-inositol Choline Glutamine and Glutamate White matter Gray matter Basal ganglia LongCART neurological disorder Global deficit score GSVD General Singular Value Decomposition Microbial metabolites -- Research HIV infections -- Complications Myelinated neurofibrils Research -- Methodology Trees (Graph theory) -- Research Biometry -- Research -- Methodology Cerebral cortex Central nervous system -- Abnormalities Spectrum analysis -- Research HIV (Viruses) -- Research -- Analysis Creatine Choline Glutamine

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