Étude de l'influence de l'activité inflammatoire liée au TNFα sur les altérations cognitives et comportementales et le dépôt de plaques β amyloïdes chez la souris

Résumé Les mutations du gène APP (amyloïde de la protéine de précurseur) sur le chromosome 21 mènent à une surproduction de protéines β amyloïdes dans la maladie d'Alzheimer (MA). Il existe donc un consensus impliquant la cascade amyloïde dans la genèse et le développement de la MA. C'est pourquoi, afin d'évaluer l'hypothèse de la cascade inflammatoire de la MA, on combine des manipulations génétiques chez des modèles de souris transgéniques avec des traitements anti-inflammatoires. Les animaux porteurs d'une mutation génétique induite permettent d'évaluer le rôle de certains gènes dans le développement de la maladie. Pour ce faire j'ai étudié les performances de différentes cohortes de souris soumises à un ensemble de trois épreuves comportementales complémentaires ; la première étudiant les conduites exploratoires, la deuxième évaluant la capacité de l'animal à effectuer un apprentissage de lieu et la troisième explorant l'efficacité des animaux dans une tâche dite d'élimination. Enfin, une évaluation complémentaire a été fondée sur le répertoire des troubles du comportement des animaux. Chez les animaux APP homozygotes, l'organisation de la mémoire se dégrade et se modifie avec l'âge. Chez ces animaux, le déficit des mémoires de références et de travail se manifeste déjà chez les souris jeunes (dès l'âge de 50 jours).De plus, il est apparu un certain nombre de troubles comportementaux. Enfin les APP homozygotes sont ceux qui ont le plus de dépôt de plaques amyloïdes localisé dans l'hippocampe. Chez les animaux APP hétérozygotes, tant la mémoire de référence, utilisée au cours d'un apprentissage de lieu, que la mémoire de travail permettant d'éviter des bras déjà visités, ne sont affectées que chez les sujets de 15 mois. De plus, tous les troubles du comportement sont présents à 15 mois, mais de manière moins intense que chez les animaux APP homozygotes. Un traitement anti-TNF administré aux APP hétérozygotes n'a pas permis d'améliorer leur performance mais a un effet bénéfique sur les troubles du comportement. Enfin, le pourcentage des dépôts de plaques a été estimé à trois fois moins élevé chez ces animaux hétérozygotes de 16 mois que chez les APP homozygotes de 8 mois. Chez les animaux APP hétérozygotes dont le gène TNFα est bloqué, les mémoires de travail et de référence sont altérées déjà à l'âge de 6 mois, en dépit du blocage de l'expression de TNF. Ces jeunes animaux ont même une capacité cognitive inférieure à celle des animaux hétérozygotes APP, en gardant toutefois leur activité et performance exploratoires intactes. Ainsi, il semble que le blocage de l'expression du gène TNFα chez des souris APP n'influence pas leurs capacités cognitives mais permet, d'une part, d'éviter l'apparition des troubles du comportement et d'autre part, ralentit le processus du déclin cognitif. Enfin, le pourcentage de plaques amyloïdes a été évalué à deux fois plus élevés pour les KO TNF-α APP hétérozygotes de 15 mois par rapport à des APP hétérozygotes sans traitement du même âge. Chez les animaux APP hétérozygotes surexprimant le TNFα, cette association génétique péjore la performance cognitive comparée à celle des APP homozygotes. Ces animaux ont une altération des mémoires de travail et de référence équivalente à celle retrouvée chez des APP homozygotes. Un traitement anti-inflammatoire administré à ces souris n'améliore pas la capacité cognitive mais permet d'une part, d'éviter l'apparition des troubles comportementaux, et d'autre part, d'entraîner la presque disparition des plaques amyloïdes. Abstract Mutations on the amyloid precursor protein (APP) gene on chromosome 21 lead to an overproduction of β amyloid in both human early onset familial Alzheimer's Disease (AD) and transgenic (TG) mice. On the other hand, inflammatory responses in the brain seem to contribute to the genesis and evolution of neurodegenerative damage. To study the influence of inflammatory factors - especially TNFα - on brain amyloid and behavioural components, TG mice expressing mutant amyloid precursor protein were treated with anti-TNFα antibody and compared with controls injected with PBS buffer or human globulins, as well as with APP mice knockout for the TNFα gene. The APP/V717 mutation leads to a brain deposit of amyloid and to significant behavioural deficits in both homozygous at different ages and heterozygous only at 15 months. The percentage of amyloid is almost triple in APP+/+ than in APP+/- animals, indicating a gene dosage effect. There is no significant effect of an anti-TNF treatment on the deposit of brain amyloid nor spatial learning capabilities. Transgenic mice show also stereotyped behaviour but the anti-TNF treatment decreases the production of stereotypies. The blockade of gene TNFα seems several cognitive alterations and increases the production of amyloid in APP mice at 15 months; but this combination allows to avoid the appearance of stereotyped behavior and in addition, the process of the cognitive decline slows down. Tg6074 mice (overexpressing TNF) increase deleterious effects on behavioural adaptive resources. Treatment with anti-TNF doesn't show changes in cognitive performances but seems to increase the production of amyloid and the stereotyped behaviour.

Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections.

Recent findings in neuroscience suggest that adult brain structure changes in response to environmental alterations and skill learning. Whereas much is known about structural changes after intensive practice for several months, little is known about the effects of single practice sessions on macroscopic brain structure and about progressive (dynamic) morphological alterations relative to improved task proficiency during learning for several weeks. Using T1-weighted and diffusion tensor imaging in humans, we demonstrate significant gray matter volume increases in frontal and parietal brain areas following only two sessions of practice in a complex whole-body balancing task. Gray matter volume increase in the prefrontal cortex correlated positively with subject's performance improvements during a 6 week learning period. Furthermore, we found that microstructural changes of fractional anisotropy in corresponding white matter regions followed the same temporal dynamic in relation to task performance. The results make clear how marginal alterations in our ever changing environment affect adult brain structure and elucidate the interrelated reorganization in cortical areas and associated fiber connections in correlation with improvements in task performance.

Dynamic visual information plays a critical role for spatial navigation in water but not on solid ground.

In the Morris water maze (MWM) task, proprioceptive information is likely to have a poor accuracy due to movement inertia. Hence, in this condition, dynamic visual information providing information on linear and angular acceleration would play a critical role in spatial navigation. To investigate this assumption we compared rat's spatial performance in the MWM and in the homing hole board (HB) tasks using a 1.5 Hz stroboscopic illumination. In the MWM, rats trained in the stroboscopic condition needed more time than those trained in a continuous light condition to reach the hidden platform. They expressed also little accuracy during the probe trial. In the HB task, in contrast, place learning remained unaffected by the stroboscopic light condition. The deficit in the MWM was thus complete, affecting both escape latency and discrimination of the reinforced area, and was thus task specific. This dissociation confirms that dynamic visual information is crucial to spatial navigation in the MWM whereas spatial navigation on solid ground is mediated by a multisensory integration, and thus less dependent on visual information.

On optimal learning schedules and the marginal value of cumulative cultural evolution.

The age-dependent choice between expressing individual learning (IL) or social learning (SL) affects cumulative cultural evolution. A learning schedule in which SL precedes IL is supportive of cumulative culture because the amount of nongenetically encoded adaptive information acquired by previous generations can be absorbed by an individual and augmented. Devoting time and energy to learning, however, reduces the resources available for other life-history components. Learning schedules and life history thus coevolve. Here, we analyze a model where individuals may have up to three distinct life stages: "infants" using IL or oblique SL, "juveniles" implementing IL or horizontal SL, and adults obtaining material resources with learned information. We study the dynamic allocation of IL and SL within life stages and how this coevolves with the length of the learning stages. Although no learning may be evolutionary stable, we find conditions where cumulative cultural evolution can be selected for. In that case, the evolutionary stable learning schedule causes individuals to use oblique SL during infancy and a mixture between IL and horizontal SL when juvenile. We also find that the selected pattern of oblique SL increases the amount of information in the population, but horizontal SL does not do so.

Learning spatial filters for multispectral image segmentation

We present a novel filtering method for multispectral satellite image classification. The proposed method learns a set of spatial filters that maximize class separability of binary support vector machine (SVM) through a gradient descent approach. Regularization issues are discussed in detail and a Frobenius-norm regularization is proposed to efficiently exclude uninformative filters coefficients. Experiments carried out on multiclass one-against-all classification and target detection show the capabilities of the learned spatial filters.

Learning-induced plasticity in auditory spatial representations revealed by electrical neuroimaging.

Auditory spatial representations are likely encoded at a population level within human auditory cortices. We investigated learning-induced plasticity of spatial discrimination in healthy subjects using auditory-evoked potentials (AEPs) and electrical neuroimaging analyses. Stimuli were 100 ms white-noise bursts lateralized with varying interaural time differences. In three experiments, plasticity was induced with 40 min of discrimination training. During training, accuracy significantly improved from near-chance levels to approximately 75%. Before and after training, AEPs were recorded to stimuli presented passively with a more medial sound lateralization outnumbering a more lateral one (7:1). In experiment 1, the same lateralizations were used for training and AEP sessions. Significant AEP modulations to the different lateralizations were evident only after training, indicative of a learning-induced mismatch negativity (MMN). More precisely, this MMN at 195-250 ms after stimulus onset followed from differences in the AEP topography to each stimulus position, indicative of changes in the underlying brain network. In experiment 2, mirror-symmetric locations were used for training and AEP sessions; no training-related AEP modulations or MMN were observed. In experiment 3, the discrimination of trained plus equidistant untrained separations was tested psychophysically before and 0, 6, 24, and 48 h after training. Learning-induced plasticity lasted <6 h, did not generalize to untrained lateralizations, and was not the simple result of strengthening the representation of the trained lateralizations. Thus, learning-induced plasticity of auditory spatial discrimination relies on spatial comparisons, rather than a spatial anchor or a general comparator. Furthermore, cortical auditory representations of space are dynamic and subject to rapid reorganization.