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Parkinson’s disease (PD) is the second most common neurodegenerative disease with still no cure available. The prominent feature of PD is the loss of dopaminergic neurons at the Substantia nigra (SN). Genetic and environmental insults affecting the SNCA gene encoding the alpha-Synuclein (alpha-Syn) protein result into an aberrant form of the protein with higher propensity towards oligomerization becoming part of insoluble inclusions called Lewy Bodies (LB). LB impart cytotoxicity leading to neurodegeneration, activate resident microglia and escape to the periphery where they get captured by dendritic cells and presented to naïve T cells. Proliferating effector T lymphocytes invade the brain releasing proinflammatory cytokines and performing a cytotoxic effect on neurons.
In this study, we examine the hypothesis that the expansion of regulatory T cells (Treg) could exert an anti-inflammatory effect that averts neurodegeneration in the AAV1/2-A53T-alpha-Syn mouse model for PD.
Mice brains were transfected by a unilateral stereotaxic injection at the SN region with a chimeric Adeno-Associated Viral vector of serotypes 1 and 2 (AAV1/2) carrying the A53T-mutated human SNCA gene encoding the readily aggregating aberrant alpha-Syn (AAV1/2-A53T-alpha-Syn). One week after injection, mice were treated with the CD28 superagonistic antibody (CD28SA), known to significantly expand the Treg population. Mice were then analyzed by behavioral analysis using the Rotarod performance test and the Cylinder test. The impact of CD28SA on the immune system was examined by flow cytometry. The integrity of the nigrostriatal system was assessed by stereological quantification of Tyrosine hydroxylase (TH)-stained dopaminergic neurons in SN and optical density measurements of TH-stained striatum. The mechanism of action of CD28SA was analyzed by treating PD mice alternatively with a Treg adoptive transfer, while CD28SA effect on levels of neurotrophic factors was quantified by ELISA.
We observed an expansion of Treg by FACS analyses three days after CD28SA treatment, demonstrating target engagement. CD28SA treatment of AAV1/2-A53T-alpha-Syn mice provided neuroprotection evident through elevated numbers of dopaminergic neurons in the SN and higher optical density of TH-staining in the striatum, in CD28SA-treated mice compared to PBS-treated control mice, and that was reflected in an enhanced performance in behavioral studies. Additionally, brain infiltration of proinflammatory activated T lymphocytes (CD4+CD69+ and CD8+CD69+ cells), that were obvious in PBS-treated AAV1/2-A53T-alpha-Syn control mice, was augmented in PD mice receiving CD28SA. The alternative treatment with Treg adoptive transfer did replicate the beneficial effects of CD28SA indicating that Treg expansion is the main effector mechanism by which it exerts its neuroprotective effect. CD28SA treatment of PD mice led to an increase of GDNF and BDNF in some brain structures that was not observed in untreated mice.
We conclude that in the AAV1/2-A53T-alpha-Syn PD mouse model, CD28SA suppresses proinflammation, reverses behavioral deficits and is neuroprotective on SN dopaminergic cells.
Early-onset torsion dystonia (DYT-TOR1A, DYT1) is an inherited hyperkinetic movement disorder caused by a mutation of the TOR1A gene encoding the torsinA protein. DYT-TOR1A is characterized as a network disorder of the central nervous system (CNS), including predominantly the cortico-basal ganglia-thalamo-cortical loop resulting in a severe generalized dystonic phenotype. The pathophysiology of DYTTOR1A is not fully understood. Molecular levels up to large-scale network levels of the CNS are suggested to be affected in the pathophysiology of DYT-TOR1A. The reduced penetrance of 30% - 40% indicates a gene-environmental interaction, hypothesized as “second hit”. The lack of appropriate and phenotypic DYT-TOR1A animal models encouraged us to verify the “second hit” hypothesis through a unilateral peripheral nerve trauma of the sciatic nerve in a transgenic asymptomatic DYT-TOR1A rat model (∆ETorA), overexpressing the human mutated torsinA protein. In a multiscale approach, this animal model was characterized phenotypically and pathophysiologically.
Nerve-injured ∆ETorA rats revealed dystonia-like movements (DLM) with a partially generalized phenotype. A physiomarker of human dystonia, describing increased theta oscillation in the globus pallidus internus (GPi), was found in the entopeduncular nucleus (EP), the rodent equivalent to the human GPi, of nerve-injured ∆ETorA rats. Altered oscillation patterns were also observed in the primary motor cortex. Highfrequency stimulation (HFS) of the EP reduced DLM and modulated altered oscillatory activity in the EP and primary motor cortex in nerve-injured ∆ETorA rats. Moreover, the dopaminergic system in ∆ETorA rats demonstrated a significant increased striatal dopamine release and dopamine turnover. Whole transcriptome analysis revealed differentially expressed genes of the circadian clock and the energy metabolism, thereby pointing towards novel, putative pathways in the pathophysiology of DYTTOR1A dystonia.
In summary, peripheral nerve trauma can trigger DLM in genetically predisposed asymptomatic ΔETorA rats leading to neurobiological alteration in the central motor network on multiple levels and thereby supporting the “second hit” hypothesis. This novel symptomatic DYT-TOR1A rat model, based on a DYT-TOR1A genetic background, may prove as a valuable chance for DYT-TOR1A dystonia, to further investigate the pathomechanism in more detail and to establish new treatment strategies.
In dieser Arbeit wurde die Krankheitsprogression im Parkinson-Mausmodell hm2α-SYN-39 mit zunehmendem Alter charakterisiert. Die Mäuse wurden in 4 Altersgruppen (2-3, 7-8, 11-12, 16-17 Monate) mit motorischen Verhaltenstests auf einen Parkinson-Phänotyp untersucht. Zudem erfolgten Untersuchungen des dopaminergen Systems zur Detektion von neurochemischen Veränderungen und einer Neurodegeneration im nigrostriatalen Trakt. Weiterhin wurden neuroinflammatorische Prozesse des adaptiven und angeborenen IS in der SN und im Striatum mittels immunhistochemischer Färbungen beurteilt.
Ein Parkinson-Phänotyp in diesem Mausmodell zeigte sich nur leicht ausgeprägt, sodass der Rotarod- und Zylinder-Test lediglich den Hinweis auf eine nicht-signifikante Einschränkung der Motorik erbrachte. Dennoch ergab die stereologische Quantifizierung TH- und Nissl-positiver Zellen in der SNpc der hm2α-SYN-39 Mäuse eine altersabhängige, signifikant-progrediente Reduktion der dopaminergen Neurone mit zunehmendem Alter. Eine signifikant niedrigere TH-positive Zellzahl dieser tg Mäuse zeigte sich ab einem Alter von 16-17 Monaten verglichen zu gleichaltrigen wt Tieren. Dagegen war die Neurodegeneration im Striatum etwas weniger ausgeprägt. Die tg Mäuse präsentierten im Alter von 16-17 Monaten eine nicht-signifikante Erniedrigung der dopaminergen Terminalen verglichen zu gleichaltrigen wt Tieren. Ein DA-Mangel im Striatum der tg Mäuse konnte mittels HPLC bestätigt werden. Bis zum Alter von 16-17 Monaten wurde eine signifikante Reduktion der DA-Level von 23,2 % verglichen zu gleichaltrigen wt Mäusen gezeigt. Außerdem erniedrigt waren die striatalen Level von NA und 5-HAT bei tg Mäusen, passend zu den bisherigen Ergebnissen bei Parkinson-Patienten.
Immunhistochemische Untersuchungen einer Neuroinflammation im nigrostriatalen Trakt ergaben eine tendenziell erhöhte Infiltration von CD4- und CD8-positiven T-Zellen bei hm2α-SYN-39 Mäusen mit zunehmendem Alter, wobei die Infiltration CD8-positiver Zellen ausgeprägter war als bei CD4-positiven Zellen. Eine noch deutlichere neuroinflammatorische Reaktion zeigte das angeborene IS. Hierbei ergab die immunhistologische Quantifizierung CD11b-positiver mikroglialer Zellen einen hochsignifikanten Anstieg im nigrostriatalen Trakt bei hm2α-SYN-39 Mäusen schon im jungen Alter.
Zusammenfassend präsentierte dieses Parkinson-Mausmodell eine langsam-progrediente Parkinson-Pathologie mit begleitender Neuroinflammation im nigrostriatalen Trakt während des Alterns, wobei die Immunantwort der mikroglialen Zellen zu einem früheren Zeitpunkt einsetzte als die T-Zellinfiltration und Neurodegeneration. Dieses Mausmodell bietet zahlreiche Möglichkeiten zur zukünftigen Erforschung der Pathophysiologie beim MP. Generell weist diese Arbeit auf eine bedeutende Rolle neuroinflammatorischer Prozesse in der Krankheitsprogression der Parkinsonerkrankung hin und soll dazu ermutigen Neuroinflammation durchaus intensiver in tg Tiermodellen zu untersuchen.
Parkinson’s disease (PD), which is the most common motor neurodegenerative disorder has attracted a tremendous amount of research advancement amid the challenges of the lack of an appropriate model that summate all the features of the human disease. Nevertheless, an aspect of the disease that is yet to be fully elucidated is the role of the immune system particularly the adaptive arm in the pathogenesis of PD. The focus of this study therefore was to characterize the contribution of lymphocytes in PD using the AAV1/2-A53T-α-synuclein mouse model of the disease that encodes for human mutated A53T-α-synuclein. This model was suitable for this research because it reflects more faithfully the molecular pathology underlying the human disease by exhibition of insoluble α-synuclein containing Lewy-like protein aggregates as compared to the more classical toxin models used in PD research. The outcome of this study showed that stereotaxic delivery of pathogenic α-synuclein via a viral vector into the substantia nigra engender the invasion of activated CD4+ and CD8+ T lymphocytes in the brain. The invasion of activated T cells in the brain especially in the substantia nigra then results in enhanced microglial activation and the disintegration of dopaminergic neurons. In addition, it was also discovered that CD4+ T cells augmented dopaminergic cell death to a greater extent than CD8+ T cells although; axonal degeneration occurred relatively independent from T cells contribution. The ex vivo and in vitro, experiments also indicated that the T cells were not only activated but they were specific to the mutated human α-synuclein antigen. As a result, they demonstrated selectivity in inducing more cell death to primary hippocampal neurons transduced with AAV1/2-A53T-α-synuclein vector than neurons with empty viral vector infection. The mechanism of T cell induced neuronal cell loss could not be attributed to the presence of cytokines neither was it mediated through MHC I and II. On the whole, this research has established that the presence of pathogenic α-synuclein in the substantia nigra has the potential to trigger immune responses that involve the transmigration of adaptive immune cells into the brain. The infiltration of the T cells consequently has a detrimental effect on the survival of dopaminergic neurons and the progression of the disease
Significant advances in fluorescence imaging techniques enable life scientists today to gain insights into biological systems at an unprecedented scale. The interpretation of image features in such bioimage datasets and their subsequent quantitative analysis is referred to as bioimage analysis. A substantial proportion of bioimage analyses is still performed manually by a human expert - a tedious process that is long known to be subjective. Particularly in tasks that require the annotation of image features with a low signal-to-noise ratio, like in fluorescence images of tissue samples, the inter-rater agreement drops. However, like any other scientific analysis, also bioimage analysis has to meet the general quality criteria of quantitative research, which are objectivity, reliability, and validity. Thus, the automation of bioimage analysis with computer-aided approaches is highly desirable. Albeit conventional hard-coded algorithms are fully unbiased, a human user has to set its respective feature extraction parameters. Thus, also these approaches can be considered subjective.
Recently, deep learning (DL) has enabled impressive advances in computer vision research. The predominant difference between DL and conventional algorithms is the capability of DL models to learn the respective task on base of an annotated training dataset, instead of following user-defined rules for feature extraction. This thesis hypothesized that DL can be used to increase the objectivity, reliability, and validity of bioimage analyses, thus going beyond mere automation. However, in absence of ground truth annotations, DL models have to be trained on manual and thus subjective annotations, which could cause the model to incorporate such a bias. Moreover, model training is stochastic and even training on the same data could result in models with divergent outputs. Consequently, both the training on subjective annotations and the model-to-model variability could impair the quality of DL-based bioimage analyses. This thesis systematically assessed the impacts of these two limitations experimentally by analyzing fluorescence signals of a protein called cFOS in mouse brain sections. Since the abundance of cFOS correlates with mouse behavior, behavioral analyses could be used for cross-validation of the bioimage analysis results. Furthermore, this thesis showed that pooling the input of multiple human experts during model training and integration of multiple trained models in a model ensemble can mitigate the impact of these limitations. In summary, the present study establishes guidelines for how DL can be used to increase the general quality of bioimage analyses.