Cellular Heterogeneity of Activated Primary Human Macrophages and Associated Drug–Gene Networks: From Biology to Precision Therapeutics

趋化因子 巨噬细胞 炎症 干扰素 体外 促炎细胞因子 细胞因子 转录组 白细胞介素8 生物 趋化性 免疫系统 免疫学 细胞生物学 医学 基因表达 分子生物学 基因 生物化学 受体
作者
Julius L. Decano,Enrico Maiorino,Joan Matamalas,Sarvesh Chelvanambi,Bart M. Tiemeijer,Yoshihiro Yanagihara,Satoru Mukai,Pawan Kumar Jha,Diego Vinicius Santinelli Pestana,Edwin S. D’Souza,Mary C. Whelan,Rile Ge,Takaharu Asano,Amitabh Sharma,Peter Libby,Sasha A Singh,Elena Aikawa,Masamichi Aikawa
出处
期刊:Circulation [Ovid Technologies (Wolters Kluwer)]
卷期号:148 (19): 1459-1478
标识
DOI:10.1161/circulationaha.123.064794
摘要

BACKGROUND: Interferon-γ (IFNγ) signaling plays a complex role in atherogenesis. IFNγ stimulation of macrophages permits in vitro exploration of proinflammatory mechanisms and the development of novel immune therapies. We hypothesized that the study of macrophage subpopulations could lead to anti-inflammatory interventions. METHODS: Primary human macrophages activated by IFNγ (M(IFNγ)) underwent analyses by single-cell RNA sequencing, time-course cell-cluster proteomics, metabolite consumption, immunoassays, and functional tests (phagocytic, efferocytotic, and chemotactic). RNA-sequencing data were analyzed in LINCS (Library of Integrated Network-Based Cellular Signatures) to identify compounds targeting M(IFNγ) subpopulations. The effect of compound BI-2536 was tested in human macrophages in vitro and in a murine model of atherosclerosis. RESULTS: Single-cell RNA sequencing identified 2 major clusters in M(IFNγ): inflammatory (M(IFNγ) i ) and phagocytic (M(IFNγ) p ). M(IFNγ) i had elevated expression of inflammatory chemokines and higher amino acid consumption compared with M(IFNγ) p . M(IFNγ) p were more phagocytotic and chemotactic with higher Krebs cycle activity and less glycolysis than M(IFNγ) i . Human carotid atherosclerotic plaques contained 2 such macrophage clusters. Bioinformatic LINCS analysis using our RNA-sequencing data identified BI-2536 as a potential compound to decrease the M(IFNγ) i subpopulation. BI-2536 in vitro decreased inflammatory chemokine expression and secretion in M(IFNγ) by shrinking the M(IFNγ) i subpopulation while expanding the M(IFNγ) p subpopulation. BI-2536 in vivo shifted the phenotype of macrophages, modulated inflammation, and decreased atherosclerosis and calcification. CONCLUSIONS: We characterized 2 clusters of macrophages in atherosclerosis and combined our cellular data with a cell-signature drug library to identify a novel compound that targets a subset of macrophages in atherosclerosis. Our approach is a precision medicine strategy to identify new drugs that target atherosclerosis and other inflammatory diseases.
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