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X-WR-CALDESC:Events for Bordeaux Neurocampus
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DTSTART;TZID=Europe/Paris:20261112T140000
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SUMMARY:Soutenance de thèse - Evangelia Kyriakidou
DESCRIPTION:\n	\n		\n			Venue : Centre Broca \nThesis defended in english \n\nEvangelia Kyriakidou \nIMN\nTeam : Neuroimmunology of metabolic health and disease (NOMAD)\nThesis directed by Agnès Nadjar \nTitle\nA Female-Specific Microglial Redox Program Gates Susceptibility to Obesity  \nAbstract\nOver the course of evolution\, energy metabolism developed as an adaptive system able to store calories during food availability to sustain energy needs in periods of scarcity. However\, the present-day overabundance of hypercaloric foods hijacks this ancestral mechanism: excessive lipid intake imposes a chronic allostatic pressure that disrupts metabolic homeostasis and underlies the obesity pandemic. Microglia\, the brain’s resident immune cells\, are sensitive sensors of environmental changes\, and particularly of nutritional variations. In response\, they adapt their metabolism and\, consequently\, their functions to maintain brain homeostasis. Excess lipids drive microglia toward a pro-inflammatory state in male mice\, which in turn disrupts the hypothalamic circuits that regulate whole-body energy balance. Notably\, these cells display sexual dimorphism\, as does the regulation of metabolic homeostasis. We therefore hypothesized that microglia differentially regulate metabolic homeostasis in males and females in response to an obesogenic diet. Our data show that in females\, but not males\, microglia engage a protective metabolic reprogramming\, characterized by increased antioxidant capacity and mitochondrial remodeling\, conferring resistance to early weight gain. Over time\, activation of mTORC1 signaling in microglia impairs this metabolic adaptation and abolishes this transient resilience\, culminating in weight gain. These findings show that microglial mTORC1 determines\, in a sex-specific manner\, the shift toward resilience or vulnerability to obesity\, and position microglial metabolism as a potential therapeutic target for sex-informed weight control. \nKeys words\nKeywords: Microglia\, high-fat diet\, immunometabolism\, sex dimorphism\, mTORC1\, mitochondria\, anti-oxidant program \nJury\n\nM. Stefano PLUCHINO\, Department of Clinical Neurosciences\, University of Cambridge\, rapporteur\nMme Rosa Chiara PAOLICELLI\, Département des sciences biomédicales\, Université de Lausanne\, rapporteur\nM. Arnaud MOURIER\, Institut de biochimie et génétique cellulaires (IBGC)\, UMR 5095\, Président\nMme Claire MARTIN\, Biologie fonctionnelle et adaptative (BFA)\, UMR 8251\, examinatrice\nMme Agnès NADJAR\, Institut des Maladies Neurodégénératives – CNRS UMR 5293\, Université de Bordeaux\, directrice de thèse\n\n\n		\n	\n\n
URL:https://www.bordeaux-neurocampus.fr/en/event/soutenance-de-these-evangelia-kyriakidou/
CATEGORIES:Thesis
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DTSTART;TZID=Europe/Paris:20261112T140000
DTEND;TZID=Europe/Paris:20261112T140000
DTSTAMP:20261006T143414
CREATED:20261002T073545Z
LAST-MODIFIED:20261002T074352Z
UID:206796-1794492000-1794492000@www.bordeaux-neurocampus.fr
SUMMARY:Thesis defense - Suhrit Duttagupta
DESCRIPTION:Venue: CARF \nAlso on zoom \n\nSuhrit Duttagupta\nTeam: Ecopsy\nINCIA \nSupervisor: Igor Sibon (INCIA) \nTitle\nPredictive Imaging and Clinical Monitoring of Post-stroke Emotional Disability \nAbstract\nStroke is a leading cause of death and disability. Although patient rehabilitation mainly targets motor and functional impairments\, post-stroke mood disruptions are prevalent and equally debilitating. Conditions such as post-stroke depression (PSD)\, anxiety (PSA)\, and fatigue (PSF) are difficult to predict. Conventional neuroimaging markers such as lesion location and white matter disruptions have provided limited predictive value\, while advanced imaging techniques are difficult to implement in clinical practice. The main purpose of this thesis was to improve the management of post-stroke mood impairments. We aimed to improve the predictability of mood outcomes using neuroimaging markers derived from routine clinical MRI data and evaluate clinical measures that capture mood symptoms longitudinally. Data were acquired from 1085 patients across four French hospital-based cohorts: Brain Before Stroke (BBS; Bordeaux)\, Groupe de Réflexion pour l’Evaluation COGnitive Vasculaire (GRECOGVasc; Amiens)\, memoQUEST (Bordeaux)\, and MObile Technologies In the preVention of POSt-stroke DEPression (MOTIV-POSDEP; Bordeaux). Four studies were conducted. Study I examined PSF at 3 months post-stroke\, where traditional voxel-based analyses provided limited results. Using a data-driven approach with principal component analysis (PCA)\, whole-brain networks were derived from lesion distributions. We identified distinct white- and gray-matter networks associated with specific fatigue domains\, highlighting the multifaceted nature of post-stroke neuropsychological impairments. Building on this framework of data compression\, Study II developed a neuroimaging pipeline using diffusion-weighted MRI to generate global diffusivity components through PCA. These components were entered into nonparametric regression models to predict 6-month PSA and PSD scores\, comparing performances with clinical and disconnectome-based models. Overall\, external predictive performance was low and clinical models performed best largely due to including baseline mood status. Nevertheless\, the imaging pipeline added modest predictive value across evaluations\, supporting the use of whole-brain markers to complement established predictors. Noting the reliance on baseline mood in the predictive models\, we explored whether remote evaluations following hospital discharge could provide more utility. Study III evaluated the use of ecological momentary assessments (EMA)\, collecting daily measures of patient mood and activity through smartphones for 12 weeks. Based on symptoms matching the clinical diagnostic criteria for mood disorders\, anxiety and depression mood indices were created. The association between mood indices and follow-up PSA and PSD scores improved with closer proximity. Compared to baseline clinical scores\, averaged EMA mood index values from the second month offered iii better early prediction of follow-up mood disorders with 90.6% adherence. Additionally\, responses for specific core symptoms\, including anhedonia\, sadness\, and worrying had stronger associations with follow-up mood than the overall index scores.These observations led to Study IV evaluating a lower-burden approach based on SMS responses shortly before follow-up. Brief symptom ratings collected within two weeks prior to follow-up sessions showed strong associations with clinical evaluations for PSA\, PSD\, and PSF\, demonstrating the potential of simplified remote monitoring to prioritize patients at risk of developing mood disorders.In summary\, post-stroke neuropsychological outcomes are multifaceted and interacting syndromes with limited predictability. Whole-brain neuroimaging components derived through a novel framework showed modest predictive value. Our findings are consistent with the growing recognition of the need for holistic approaches\, suggesting that incorporating multidomain models and longitudinal remote assessments may improve the early characterization of individual mood symptoms. \nKeywords: Stroke\, mood\, fatigue\, diffusion-weighted imaging\, remote monitoring  \nPublications\n\nHolistic compression to improve predictivity of post-stroke anxiety and depression at 6 months (https://doi.org/10.21203/rs.3.rs-9313883/v1)\nA comparison of clinical\, lesion-based and connectome-based models of post-stroke depression: a prospective longitudinal study (https://doi.org/10.1016/j.nicl.2025.103911)\nIdentifying clinico-radiological determinants of post-stroke fatigue 3 months post-stroke in a French hospital-based cohort of non-severe stroke patients without psychiatric comorbidities (https://doi.org/10.1371/journal.pone.0345376)\n\nJury\n\nM. Igor Sibon (Thesis director)\nM. Charles Laidi (Reviewer)\nM. Nicolas Farrugia (Reviewer)\nMme. Solène Moulin (Examiner)\nMme. Sandra Chanraud (Examiner)\n\n
URL:https://www.bordeaux-neurocampus.fr/en/event/thesis-defense-suhrit-duttagupta/
CATEGORIES:Thesis
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