Abstract

Introduction: The identification of new treatments for atherosclerosis (ACVD), a common complex disease, is a daunting task because sets of genes, rather than individual genes, control cell functions. Using systems genetics, our team identified gene regulatory network (GRN42) that is active in the human atherosclerotic arterial wall and is involved in the regulation of foam cell formation. Hypothesis: A network-driven drug repurposing approach combined with rigorous preclinical validation will identify new uses for existing drugs to treat ACVD. Methods: We developed a GRN42-based computational drug repurposing pipeline to infer new uses for existing drugs. Selected compounds were screened by measuring their ability to inhibit foam cell formation in vitro using THP-1-derived macrophages. The in vivo efficacy was validated in ApoE-/- mice fed a western diet by histology and in atherosclerotic rabbits using histology and non-invasive 18 F-FDG PET-MR imaging. Results: 30 candidate compounds were predicted to influence the function of GRN42 and 5 were selected for in vitro screening based on their prediction scores (Figure 1A). As expected, vitamin D reduced cholesteryl esters accumulation in foam cells. Auranofin, and FDA-approved drug for rheumatoid arthritis reduced foam cell formation. As predicted methyl-fasudil had no effect, while nicardipine and flutamide increased foam cell formation (Figure 1B). Auranofin reduced plaque burden in ApoE-/- mice (Figure 1C) and in rabbits reduced lipid accumulation (Figure 1D) and inflammation shown as reduced 18 F-FDG uptake in the arterial wall (Figure 1E). Conclusions: Our results provide robust evidence that a GRN-based computational drug repurposing approach, when combined with robust preclinical validation using translational molecular imaging, can successfully identify new uses of existing drugs for the treatment of ACVD.

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