L’identification de biomarqueurs des maladies mentales telles que l’autisme, la schizophrénie ou la maladie d’Alzheimer, est d’une importance capitale non seulement pour établir un diagnostic objectif, mais aussi pour suivre l’effet des traitements. La création et le maintien de fonctions neuronales sub-cellulaires, telle que la plasticité synaptique, sont fortement dépendants du transport intraneuronal, essentiel pour acheminer d’importants composants à des positions spécifiques. Un transport actif défaillant semble être partiellement responsable d’anomalies de la plasticité synaptique et de la morphologie neuronale présentes dans de nombreuses maladies neuropsychiatriques. Cette thèse décrit (i) la mise au point d’une méthode de quantification du transport intraneuronal reposant sur le suivi de nanoparticules de diamants fluorescents (fNDs); (ii) l’application de cette technique simple et faiblement invasive à l’analyse fonctionnelle de variants génétiques associés à des maladies neuropsychiatriques. Ce manuscrit comporte quatre chapitres. Le premier détaille l’architecture polygénique complexe des maladies mentales et démontre la pertinence d’étudier le transport intraneuronal. Les deuxième et troisième chapitres sont dédiés à la méthode et détaillent les stratégies d’internalisation des fNDs, les outils de quantification du transport intraneuronal et la validation de la technique. La forte brillance, la photo-stabilité parfaite et l’absence de toxicité cellulaire font des fNDs un outil de choix pour étudier la dynamique du transport intraneuronal sur une durée d’observation de plusieurs heures avec une haute résolution spatiotemporelle et une bonne puissance statistique. Enfin, dans le quatrième chapitre, nous appliquons cette nouvelle méthode d’analyse fonctionnelle pour étudier l’effet de variants génétiques associés à l’autisme et à la schizophrénie. Pour cela, nous utilisons des lignées de souris transgéniques ayant une faible surexpression des gènes MARK1 et SLC25A12, ainsi que des AAV-shRNA pour induire une haplo-insuffisance du gène AUTS2. Notre méthode de diagnostic moléculaire s’avère suffisamment sensible pour déceler des variations fines de la dynamique du transport intraneuronal, ouvrant la voie à de futurs développements en nanomédecine translationnelle. / The identification of molecular biomarkers of brain diseases as diverse as autism, schizophrenia and Alzheimer’s disease, is of crucial importance not only for an objective diagnosis but also to monitor response to treatments. The establishment and maintenance of sub-cellular neuronal functions, such as synaptic plasticity, are highly dependent on intracellular transport, which is essential to deliver important materials to specific locations. Abnormalities in such active transport are thought to be partly responsible for synaptic plasticity and neuronal morphology impairment found in many neuropsychiatric and neurodegenerative diseases. This thesis reports (i) the development of a quantification technic of intraneuronal transport based on fluorescent nanodiamonds (fNDs) tracking; (ii) the application of this simple and minimally invasive approach to the functional analysis of neuropsychiatric disease-related genetic variants.This manuscript falls into four chapters. The first one details the complex polygenic architecture of mental disorders and demonstrates the disease relevance of monitoring the intraneuronal transport. The second and the third chapters are dedicated to the nanodiamond-tracking assay and describe the fNDs internalisation strategies, the spatiotemporal quantitative readouts and the validation of the technic. The high brightness, the perfect photostability and the absence of cytotoxicity make fNDs a tool of choice to perform high throughput long-term bioimaging at high spatiotemporal resolution. Finally, in the fourth chapter, we apply this new functional analysis method to study the effect of genetic variants associated to autism and schizophrenia. We established transgenic mouse lines in which MARK1 and SLC25A12 genes were slightly overexpressed, and AAV-shRNA to induce AUTS2 gene haploinsufficiency. Our molecular diagnosis assay proves sufficiently sensitive to detect fine changes in intraneuronal transport dynamic, paving the way for future development in translational nanomedicine.

No description available.

The Arctic mutation in the Amyloid-β (Aβ) domain of the Amyloid-β precursor protein (APP) causes Alzheimer’s disease (AD) and confers unique biochemical characteristics to Aβ peptides. The aims of this thesis were to evaluate a transgenic model with the Arctic mutation, and to use it to gain new insights into the mechanisms of early (pre-plaque) and late-stage Aβ pathogenesis in AD. The Arctic mutation made Aβ more prone to aggregate, to accumulate in intracellular compartments and to form extracellular plaques when the models tg-ArcSwe and tg-Swe were compared. By inhibiting APP processing genetically or pharmacologically, the intraneuronal granular immunoreactivity with antibodies binding the Aβ domain was shown to largely represent Aβ, and not APP or APP-fragments. At two months of age, the intracellularly accumulated Aβ decreased rapidly, likely because it was still accessible to intracellular clearance. Extracellular Aβ deposits emerged at 5-6 months of age and the amyloid fibril structure was more compact than in tg-Swe. Moreover, Aβ deposits in tg-ArcSwe were more resistant to chemical extraction than those of established models carrying the Swedish APP mutation only, e.g. tg-Swe mice. The stability of deposits better reflects the biochemistry of senile plaques in AD. Thus, the tg-ArcSwe model may better predict the outcome of clinical trials, particularly therapies designed to enhance clearance of Aβ aggregates and deposits. Postmortem brain of Arctic mutation carriers contained extensive parenchymal plaque pathology. Differential immunostaining patterns with C- and N-terminal Aβ antibodies revealed a subset of plaques that were unique to the brains of Arctic mutation carriers. Aβ deposits in the cerebral vessel walls were congophilic and mainly composed of full-length Aβ. In contrast, N-terminally truncated Aβ was more prominent in the parenchymal plaques, all of which essentially lacked amyloid cores. A heterogeneous assembly of mutant and wild-type Aβ was shown to favor the formation of diffuse deposits in bitransgenic mice, and such mechanisms may at least partly explain observations of plaques lacking amyloid cores in postmortem Arctic mutant brain. In the bitransgenic mice, a low level of Arctic Aβ was sufficient to facilitate aggregation of wild-type Aβ. This observation, but also our findings of differences in amyloid fibril structure in tg-ArcSwe and tg-Swe, further highlights similarities between AD and prion disorders in which PrPsc refolds PrPc and facilitates fibril formation. / (Faculty of medicine)

No description available.

Systematic investigations through several experimental techniques have revealed that hippocampal pyramidal neurons express voltage gated ion channels (VGICs) with well-defined gradients along their dendritic arbor. These actively maintained gradients in various dendritic VGICs effectuate several stereotypic, topographically continuous functional gradients along the topograph of the dendritic arbor, and have been referred to as intraneuronal functional maps. The prime goal of my thesis was to understand the emergence and homeostasis of the several coexistent functional maps that express within hippocampal pyramidal neurons. In the first part of the thesis, we focus only on spatial interactions between ion channels and analyzed the role of such interactions in the emergence of functional maps. We developed a generalized quantitative framework, the influence field, to analyze the extent of influence of a spatially localized VGIC cluster. Employing this framework, we showed that a localized VGIC cluster could have spatially widespread influence, and was heavily reliant on the specific physiological property and background conductances. Using the influence field model, we reconstructed functional gradients from VGIC conductance gradients, and demonstrated that the cumulative contribution of VGIC conductances in adjacent compartments plays a critical role in determining physiological properties at a given location. These results suggested that spatial interactions among spatially segregated VGIC clusters are necessary for the emergence of the functional maps. In the second part of the thesis, we assessed the specific roles of only kinetic interactions between ion channels in determining physiological properties by employing a single-compartmental model. In doing this, we analyzed the roles of interactions among several VGICs in regulating intrinsic response dynamics. Using global sensitivity analysis, we showed that functionally similar models could be achieved even when underlying parameters displayed tremendous variability and exhibited weak pair-wise correlations. These results suggested that that response homeostasis could be achieved through several non-unique channel combinations, as an emergent consequence of kinetic interactions among these channel conductances. In the final part of the thesis, we analyzed the combined impact of both spatial and kinetic interactions among ion channel conductances on the emergence and homeostasis of functional maps in a neuronal model endowed with extensive dendritic arborization. To do this, we performed global sensitivity analysis on morphologically realistic conductance-based models of hippocampal pyramidal neurons that coexpressed six functional maps. We found topographically continuous functional maps to emerge from disparate model parameters with weak pair-wise correlations between parameters. These results implied that individual channel properties need not be set at constant values in achieving overall homeostasis of several coexistent functional maps. We suggest collective channelostasis, where several channels regulate their properties and expression profiles in an uncorrelated manner, as an alternative for accomplishing functional map homeostasis. Finally, we developed a methodology to assess the contribution of individual channel conductances to the various functional measurements employing virtual knockout simulations. We found that the deletion of individual channels resulted in variable, measurement-and location-specific impacts across the model population.

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