La sclérose en plaques (SEP) est une maladie neuro-inflammatoire du système nerveux central. Les causes sont multifactorielles impliquant à la fois une prédisposition génétique et l'influence de facteurs environnementaux. Dans environ 85% des cas, les patients sont atteints de poussées correspondants à la survenue de signes neurologiques, suivis d'une phase de rémission partielle ou totale. De nombreux travaux avancent l'hypothèse selon laquelle le taux de poussées varie au gré des saisons, survenant plus fréquemment au printemps et en été. Cette fluctuation temporelle a soulevé la question de l'influence de paramètres dépendants de la saison tels que l'ensoleillement et le statut en vitamine D, le niveau de mélatonine ou encore la pollution atmosphérique. Etant donné cette variation de la pollution de l'air, nous avons cherché à explorer l'impact à court terme des particules fines (PM10), benzène (C6H6), dioxyde d'azote (NO2), monoxyde de carbone (CO) et de l'ozone troposphérique (O3), sur le risque de déclenchement de poussée, indépendamment des saisons "chaude" (1er avril au 30 septembre) et "froide" (1er octobre au 31 mars). Ce travail s'est appuyé sur les données de patients issus du réseau ville-hôpital alSacEP. Nous avons sélectionné 424 patients atteints de SEP à début rémittent et ayant connu un total de 1 783 poussées (2000-2009). Les niveaux journaliers de pollution, produits grâce au modèle physique déterministe ADMS-Urban, ont été modélisés sur une base horaire pour chaque IRIS de la communauté urbaine de Strasbourg par l'actuelle AASQUA ATMO Grand Est. De plus, une enquête individuelle menée dans le cadre de cette étude auprès de l'ensemble des patients (PT) a permis de collecter (par questionnaire téléphonique ou auto-questionnaire sur internet) des informations personnelles socio-économiques (SES) et du mode de vie pour 188 d'entre eux (PS). Enfin, le niveau SES des IRIS a été estimé à l’aide d’un indice de défaveur social - construit à partir des données du recensement de l’INSEE. Nous avons observé une influence saisonnière délétère à court terme de la pollution (3 jours précédant la poussée) sur le risque de poussée en PT, notamment de l'O3 en saison "chaude" et des PM10 et NO2 en saison "froide". Nos résultats suggèrent également que le contexte SES puisse exacerber ces associations, notamment chez les patients résidant dans les quartiers défavorisés lors d'exposition aux PM10, NO2, C6H6 et CO ("froide") et ceux résidant dans les quartiers favorisés et défavorisés lors de l'exposition à l'O3 ("chaude"). Enfin, nous avons observé chez la PS que le niveau d'éducation faible, le revenu familial moyen, la consommation de cigarette et le manque d'activité physique régulière sont les catégories SES et du mode de vie les plus associées avec le risque de poussée lors de l'exposition à la pollution de l'air. Ce travail montre la nécessité d'étudier les expositions environnementales au cours de la SEP selon une approche holistique intégrant des facteurs individuels et contextuels. / Multiple sclerosis (MS) is a neuro-inflammatory disease of the central nervous system (CNS). Causes are multifactorial enrolling both genetic predisposition and influence of environmental factors. In 85% of cases, patients experience relapse corresponding to the occurrence of neurologic signs, followed by a phase of partial or total remission. Several studies put forth the hypothesis that relapses rate varies across season, mainly occurring during spring and summer. This temporal fluctuation raised the question of season-dependent parameters influence such as sunlight exposure and vitamin D, melatonin level or ambient air pollution. Considering this variation of air pollution, we explored the short-term impact of fine particles (PM10), benzene (C6H6), nitrogen dioxide (NO2), carbon monoxide (CO) and ground-level ozone (O3), on the risk of relapse triggering, separately for "cold" (i.e., October-March) and "hot" (April-September) season. This work has drawn from data of patients provided by the alSacEP network. We included 424 patients affected with remitting MS onset who experienced 1,783 relapses over the 2000-2009 period. Daily level of air pollution was modeled through ADMS-Urban software at the census block scale of the Strasbourg metropolitan area (AASQA ATMO Grand Est). Furthermore, an individual survey was conducted among all the patients (PT) in order to collect individual socioeconomic (SES) and lifestyle features. Finally, the census block SES position was estimated using a composite deprivation index - created from the INSEE census data. A short-term (3 days preceding the relapse) seasonal adverse effect was observed in PT, in particular during exposure to O3 in "hot" season and PM10 and NO2 in "cold" season. Results also suggest that the SES context might exacerbate these associations, in particular among patients who were living in deprived neighborhood with exposure to PM10, NO2, C6H6 and CO ("cold) and those who were living in most well-of and deprived places with exposure to O3 ("hot"). Finally, we observed among Ps that low education level, average family income, smoking and lack of physical activity are more associated with the risk of relapse triggering when patients were exposed to air pollution. This work shows the need to investigate environmental exposure such as air pollution along the SEP course using a holistic approach integrating individual and contextual factors.

Graphene has been shown to be very powerful as a transducer in many biosensor applications due to its high sensitivity. This enables smaller surfaces and therefore less material consumption when producing sensors and concequently cheaper and more portable sensors compared to the commercially available sensors today. The electrical properties of graphene are very sensitive to gas exposure why presence of molecules or small changes in concentration could easily be detected when using graphene as a sensing layer. Graphene is sensitive towards many molecules and in order to detect and possibly identify gas molecules the surface needs to be functionalized. The intention of this project was to use nanoparticles (NPs) to further increase sensitivity and specificity towards selected molecules and also enable biofunctionalization of the NPs, and by that tune the electrical properties of the graphene. This study proposes the use of Fe3O4 and TiO2 NPs to enable sensitive detection of volatile gases and possibly further functionalization of the NPs using biomolecules as a detecting agent in a liquid-phasebiosensor application. The interaction between graphene and NPs have been investigated using several surface charactarization methods and electrical measurements for detection of gaseous molecules and also molecules in a liquid solution. The characterizing methods used are XPS, AFM with surface-potential mapping and Raman spectroscopy with reflectance mapping in order to investigate the NPs interaction with the graphene surface. Sensors where manufactured for gas-phase detection of CO, formaldehyde, benzene and NH3 specifically and display differences in sensitivity and behavior of the Fe3O4 and TiO2 NPs respectively. For liquid measurements the difference in behavior in two buffers was investigated using an in-house flow-cell setup. The surface charecterizing measurements indicated that just a small difference could be found between the two NPs, however a significant change in sensor response could be detected as a function of coverage. The liquid and gas-phase measurements rendered information on differences in sensitivity between the NPs and between analytes where TiO2 showed a higher level of sensitivity towards most of the gases investigated. Both Fe3O4 and TiO2 NP coated graphene showed capability to detect formaldehyde and benzene down to 50 ppb and 5 ppb respectively. The sensitive gas detection could help protecting individuals being exposed to a hazardous level of volatile gases if concentrations increase rapidly or at a long term exposure with lower concentrations, improving saftey and health where these gases are present.