Research Questions: What genetic, biochemical, environmental exposure, medication use, chronic disease, and lifestyle factors can be identified as significant risk markers for aortic dissection and aneurysm (AD/AA)? How do these specific risk factors for AD/AA compare with those associated with other cardiovascular-related chest pain conditions? Is it feasible to develop an integrated and accurate predictive model for AD/AA by synthesizing multimodal data?
Objectives: To identify genetic, biochemical, environmental exposure, medication use, chronic disease, and lifestyle factors that serve as significant risk markers for AD/AA. To determine specific risk factors or biomarkers for AD/AA by comparing them with those of other cardiovascular-related chest pain conditions. To develop an integrated and accurate predictive or prognostic model for AD/AA by synthesizing multimodal data.
Scientific Rationale: Due to the high mortality rates associated with aortic dissection and aneurysm, early clinical identification is crucial. AD/AA are influenced by systemic diseases, genetic predispositions, and lifestyle factors. Multi-omics data provide molecular-level insights into disease mechanisms, helping us understand the impact of genetic variations on protein expression and disease progression. Analyzing the interactions between lifestyle factors and omics data deepens our understanding of their combined effects.
