Migratory and Dancing Macrophage Subsets in Atherosclerotic Lesions

The combination of quantitative intravital imaging with deep transcriptomes identified 4 subsets of vascular macrophages in atherosclerosis that have unique transcriptomic profiles. Our data link vascular macrophage transcriptomes to their in vivo migratory function. Future work on the functional significance of the change in gene expression and motility characteristics will be needed to fully understand how these subsets contribute to disease progression.

Here, we explore macrophage heterogeneity in atherosclerosis plaques using transgenic fluorescent mice in which subsets of macrophages are labeled by GFP (green fluorescent protein), YFP (yellow fluorescent protein), neither, or both. The objective was to define migration patterns of the visible subsets and relate them to their phenotypes and transcriptomes.

Apoe-/-Cx3cr1GFPCd11cYFP mice have 4 groups of macrophages in their aortas. The 3 visible subsets show varying movement characteristics. GFP and GFP+YFP+ macrophages extend and retract dendritic processes, dancing on the spot with little net movement while YFP macrophages have a more rounded shape and migrate along the arteries. RNA sequencing of sorted cells revealed significant differences in the gene expression patterns of the 4 subsets defined by GFP and YFP expression, especially concerning chemokine and cytokine expression, matrix remodeling, and cell shape dynamics. Gene set enrichment analysis showed that GFP+ cells have similar transcriptomes to cells found in arteries with tertiary lymphoid organs and regressing plaques while YFP+ cells were associated with progressing and stable plaques. Conclusions: The combination of quantitative intravital imaging with deep transcriptomes identified 4 subsets of vascular macrophages in atherosclerosis that have unique transcriptomic profiles. Our data link vascular macrophage transcriptomes to their in vivo migratory function. Future work on the functional significance of the change in gene expression and motility characteristics will be needed to fully understand how these subsets contribute to disease progression.