- Define gut microbiota signature in CMD and evaluate the impact of environment (diet and drugs)
- Demonstrate causality of CMD microbial signature in the development of CMD or its resolution:
- in human interventions: Metacardis follow-up (development), diet or bariatric surgery (reversal)
- in mice: gut microbiota transfer experiments (induce CMD or its reversal)
The digestive tract is vulnerable to modifications coming from both external factors such as food and microbiota, and internal factors such as the immune system. As a result, the adaptations that occur within the gut can have significant effects on immune function, the maintenance of epithelial cell balance, and essential organs that regulate energy balance.
- Understand WAT fibrosis : role of progenitors:
- Characterize WAT senescence :
- Evaluate inappropriate turnover of subcellular components (Lysosomal degradation)
- Examine PG as gut-derived signaling modulators in AT remodeling
We will develop innovative tools for data analysis, physiological status prediction, and visualisation in metabolic diseases. Convergence of techniques include statistical inferences, machine learning, and mechanistic approach using dynamical systems. This WP is strongly integrated with the other WPs which produce large-scale data.
Two main axes
- Develop innovative diagnosis and predictive factors/tools:
- Develop novel approaches for therapy with personalized medicine