Abstract 212: Transcriptional Profiling Of Vascular Smooth Muscle Cell-foam Cells In Atherosclerotic Lesions

Background: One of the hallmarks of atherosclerosis progression is the uptake of oxidized lipids by cells to become Foam/Foamy cells - the most prominent being vascular smooth muscle cells (VSMC)-foam cells. Although studies have identified the ability of VSMC to become VSMC-foam cells, their transcriptomic profile and the phenotypic modulations which distinguish them from contractile VSMC remain poorly defined and understood. Hypothesis: We hypothesize that VSMC-foamy cells differ from contractile VSMC not only by modulation of genes shared by both cell types, but also by the expression of a unique set of genes which contribute to their formation and maintenance within atherosclerotic lesions. Method: To address this, we performed bulk RNA sequencing of atherosclerotic plaques from conditional VSMC-lineage tracing mice models on high fat diet. VSMC and VSMC-foam cells were isolated and sequenced at specific time points reflective of late and advanced atherosclerosis disease progression. Computational analysis enabled us identify differentially expressed genes, biological pathways and molecular functions which distinguished VSMC from VSMC-foam cells. Result and Conclusion: Our computational analysis identified differential genes and pathways unique to VSMC-foam cells which might be associated with disease progression. From our analysis, VSMC showed a lower expression of contractile VSMC marker genes and a higher expression of genes in synthetic/intermediary multipotent state, we term “SEM” state. Our study also showed that VSMC-foam cells also expressed unique genes which distinguished them from contractile VSMC. These genes not only serve as potential genetic markers, but might further explain the nuclear composition, as well as the inflammatory and metabolic profile of VSMC-foam cells. Defining and understanding the molecular mechanisms and drivers which promote VSMC-foam cell formation and maintenance in atherosclerosis, would aid in our understanding of the disease with potentials for more effective therapeutic solutions.