Existing studies indicate that lipid metabolism in immune cells plays a significant role in the development of aortic dissection (AD). However, the specific regulatory pathways of metabolism, as well as the spatiotemporal mechanisms in AD pathogenesis, remain unclear. There is also a lack of validation for potential metabolic node-based therapeutic targets.
Research Objectives:
Our study aims to use multi-omics data (epidemiology, transcriptomics, genomics, metabolomics) and bioinformatics methods to uncover the metabolic-immune interaction mechanisms in aortic dissection (AD) and develop a risk prediction model based on these findings. The ultimate goals are:
1)Mechanistic Insights:
Identify AD-specific immune cell infiltration patterns (e.g., macrophage and T-cell subset abnormalities).
Investigate how lipid metabolites regulate immune genes to influence AD development.
Construct a metabolic-immune regulatory network to elucidate the potential pathway: “Lipid Dysregulation ! Immune Dysfunction ! Vascular Injury.”
2)Clinical Applications:
Develop an early AD risk prediction model based on metabolic-immune signatures, surpassing traditional risk factors (e.g., hypertension, age).
Provide a theoretical basis for AD precision subtyping and targeted interventions (e.g., anti-inflammatory or lipid-modulating therapies).
