👤 Sophie Prévot

We present an analytical framework aimed at predicting the local brain activity in uncontrolled experimental conditions based on multimodal recordings of participants' behavior, and its application to a corpus of participants having conversations with another human or a conversational humanoid robot. The framework consists in extracting high-level features from the raw behavioral recordings and applying a dynamic prediction of binarized fMRI-recorded local brain activity using these behavioral features. The objective is to identify behavioral features required for this prediction, and their relative weights, depending on the brain area under investigation and the experimental condition. In order to validate our framework, we use a corpus of uncontrolled conversations of participants with a human or a robotic agent, focusing on brain regions involved in speech processing, and more generally in social interactions. The framework not only predicts local brain activity significantly better than random, it also quantifies the weights of behavioral features required for this prediction, depending on the brain area under investigation and on the nature of the conversational partner. In the left Superior Temporal Sulcus, perceived speech is the most important behavioral feature for predicting brain activity, regardless of the agent, while several features, which differ between the human and robot interlocutors, contribute to the prediction in regions involved in social cognition, such as the TemporoParietal Junction. This framework therefore allows us to study how multiple behavioral signals from different modalities are integrated in individual brain regions during complex social interactions. Show less

Non-alcoholic steatohepatitis (NASH) is characterized by steatosis associated with liver inflammation. Steatosis causes recruitment of lymphocytes into the liver and this is worsened by lipopolysaccharides (LPS). As macrophages may be involved in the lymphocyte homing, we studied the role of lipids in determining the phenotype of Kupffer cells (KCs) at the stage of steatosis. Steatosis was induced in mice by a high fat diet. The turnover and the recruitment of KCs were analyzed in vivo by flow cytometry. KCs phenotype was assessed by optical and electron microscopy, cell culture and lymphocyte recruitment by in vitro chemotaxis. Lipidomic analysis was carried out by mass-spectrometry and gene expression analysis by TaqMan low density array. Although the number of KCs was not modified in steatotic livers compared to normal livers, their phenotypes were different. Electron microscopy demonstrated that the KCs from fatty livers were enlarged and loaded with lipid droplets. Lipid synthesis and trafficking were dysregulated in fat-laden KCs and toxic lipids accumulated. Fat-laden KCs recruited more CD4+ T and B lymphocytes in response to LPS stimulation than did control KCs and produced high levels of pro-inflammatory cytokines/chemokines, which could be reversed by inhibition of lipogenesis. Lipid accumulation in fat-laden KCs is due to a dysregulation of lipid metabolism and trafficking. Fat-laden KCs are "primed" to recruit lymphocytes and exhibit a pro-inflammatory phenotype, which is reversible with inhibition of lipogenesis. Show less

Endothelial cells are required to initiate pancreas development from the endoderm. They also control the function of endocrine islets after birth. Here we investigate in developing pancreas how the endothelial cells become organized during branching morphogenesis and how their development affects pancreatic cell differentiation. We show that endothelial cells closely surround the epithelial bud at the onset of pancreas morphogenesis. During branching morphogenesis, the endothelial cells become preferentially located near the central (trunk) epithelial cells and remain at a distance from the branch tips where acinar cells differentiate. This correlates with predominant expression of the angiogenic factor vascular endothelial growth factor-A (VEGF-A) in trunk cells. In vivo ablation of VEGF-A expression by pancreas-specific inactivation of floxed Vegfa alleles results in reduced endothelial development and in excessive acinar differentiation. On the contrary, acinar differentiation is repressed when endothelial cells are recruited around tip cells that overexpress VEGF-A. Treatment of embryonic day 12.5 explants with VEGF-A or with VEGF receptor antagonists confirms that acinar development is tightly controlled by endothelial cells. We also provide evidence that endothelial cells repress the expression of Ptf1a, a transcription factor essential for acinar differentiation, and stimulate the expression of Hey-1 and Hey-2, two repressors of Ptf1a activity. In explants, we provide evidence that VEGF-A signaling is required, but not sufficient, to induce endocrine differentiation. In conclusion, our data suggest that, in developing pancreas, epithelial production of VEGF-A determines the spatial organization of endothelial cells which, in turn, limit acinar differentiation of the epithelium. Show less