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RAGE impairs murine diabetic atherosclerosis regression and implicates IRF7 in macrophage inflammation and cholesterol metabolism
Laura Senatus, Raquel López-Díez, Lander Egaña-Gorroño, Jianhua Liu, Jiyuan Hu, Gurdip Daffu, Qing Li, Karishma Rahman, Yuliya Vengrenyuk, Tessa J. Barrett, M. Zahidunnabi Dewan, Liang Guo, Daniela Fuller, Aloke V. Finn, Renu Virmani, Huilin Li, Richard A. Friedman, Edward A. Fisher, Ravichandran Ramasamy, Ann Marie Schmidt
Laura Senatus, Raquel López-Díez, Lander Egaña-Gorroño, Jianhua Liu, Jiyuan Hu, Gurdip Daffu, Qing Li, Karishma Rahman, Yuliya Vengrenyuk, Tessa J. Barrett, M. Zahidunnabi Dewan, Liang Guo, Daniela Fuller, Aloke V. Finn, Renu Virmani, Huilin Li, Richard A. Friedman, Edward A. Fisher, Ravichandran Ramasamy, Ann Marie Schmidt
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Research Article Inflammation Vascular biology

RAGE impairs murine diabetic atherosclerosis regression and implicates IRF7 in macrophage inflammation and cholesterol metabolism

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Abstract

Despite advances in lipid-lowering therapies, people with diabetes continue to experience more limited cardiovascular benefits. In diabetes, hyperglycemia sustains inflammation and preempts vascular repair. We tested the hypothesis that the receptor for advanced glycation end-products (RAGE) contributes to these maladaptive processes. We report that transplantation of aortic arches from diabetic, Western diet–fed Ldlr—/— mice into diabetic Ager—/— (Ager, the gene encoding RAGE) versus WT diabetic recipient mice accelerated regression of atherosclerosis. RNA-sequencing experiments traced RAGE-dependent mechanisms principally to the recipient macrophages and linked RAGE to interferon signaling. Specifically, deletion of Ager in the regressing diabetic plaques downregulated interferon regulatory factor 7 (Irf7) in macrophages. Immunohistochemistry studies colocalized IRF7 and macrophages in both murine and human atherosclerotic plaques. In bone marrow–derived macrophages (BMDMs), RAGE ligands upregulated expression of Irf7, and in BMDMs immersed in a cholesterol-rich environment, knockdown of Irf7 triggered a switch from pro- to antiinflammatory gene expression and regulated a host of genes linked to cholesterol efflux and homeostasis. Collectively, this work adds a new dimension to the immunometabolic sphere of perturbations that impair regression of established diabetic atherosclerosis and suggests that targeting RAGE and IRF7 may facilitate vascular repair in diabetes.

Authors

Laura Senatus, Raquel López-Díez, Lander Egaña-Gorroño, Jianhua Liu, Jiyuan Hu, Gurdip Daffu, Qing Li, Karishma Rahman, Yuliya Vengrenyuk, Tessa J. Barrett, M. Zahidunnabi Dewan, Liang Guo, Daniela Fuller, Aloke V. Finn, Renu Virmani, Huilin Li, Richard A. Friedman, Edward A. Fisher, Ravichandran Ramasamy, Ann Marie Schmidt

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Figure 4

Effects of RAGE and DIAPH1 on macrophage properties.

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Effects of RAGE and DIAPH1 on macrophage properties.
(A and B) Ki67 (A) ...
(A and B) Ki67 (A) and TUNEL (B) staining was performed on aorta sections from diabetic donor Ldlr—/— mice and WT, Ager—/—, and Diaph1—/— diabetic recipient mice. Scale bar: 250 μm. N = 5 mice/group. (C) Schematic of bead assay for tracking monocyte/macrophages in atherosclerotic plaques. (D) Representative images and quantification of the beads per lesion area from sections from nontransplanted diabetic Ldlr—/— and diabetic WT, Ager—/—, and Diaph1—/— recipient mice 5 days after aortic transplantation. Scale bars: 250 μm, and inset, 50 μm. In D, no-bead control is shown (N = 10 mice/group). (E) Role of RAGE and DIAPH1 in reverse transendothelial migration of macrophages. BMDMs from WT, Ager—/—, and Diaph1—/— diabetic mice were subjected to reverse transendothelial migration assays at 2, 24, and 48 hours. N = 6 mice/group. (F) Gene expression of selected pro- (Nos2 and Tnfa) and antiinflammatory genes (Arg1 and Il10) in BMDMs retrieved from BMDM-MAEC cocultures after transendothelial migration assay at 48 hours. N = 4 mice/group. Mean ± SEM. Unpaired t test or Mann-Whitney U test (A, B, and F) depending on the normality of the data. Kruskal-Wallis test followed by Dunn’s multiple comparisons test (D). One-way ANOVA with post hoc Tukey’s test (E). *P < 0.05, **P < 0.01, ***P < 0.001, and ****P < 0.0001.

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