Single-cell spatial transcriptomics unravels the cellular landscape of abdominal aortic aneurysm

腹主动脉瘤 共域化 转录组 细胞生物学 炎症 主动脉瘤 背景(考古学) 基质金属蛋白酶 内科学 CD44细胞 川地68 巨噬细胞 电池类型 表型转换 细胞 医学 动脉瘤 血管平滑肌 生物 免疫学 主动脉 体外 基因 基因表达 平滑肌 免疫组织化学 生物化学 古生物学 外科 内分泌学 遗传学
作者
Guizhen Zhao,Chun‐Seok Cho,Hong Yu Liu,Yongha Hwang,Yichen Si,Myungjin Kim,Yongjie Deng,Yang Zhao,Chao Xue,Yanhong Guo,Lin Chang,Doğukan Mizrak,Bo Yang,Hyun Min Kang,Jifeng Zhang,Jun Hee Lee,Y. Eugene Chen
出处
期刊:JCI insight [American Society for Clinical Investigation]
卷期号:10 (16) 被引量:15
标识
DOI:10.1172/jci.insight.190534
摘要

Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological interventions. While single-cell transcriptomics has advanced our understanding of AAA, it lacks spatial context. Here, we employed Seq-Scope, an ultra-high-resolution spatial transcriptomic technology, to decipher the spatial landscape of angiotensin II-induced AAA in Apoe-/- mice. Our analysis revealed the heterogeneity of macrophages, fibroblasts, and smooth muscle cells (SMCs), with specific responses in different layers of the AAA tissue. SMCs in the inner layers showed associations with Mgp-expressing fibroblasts and GPNMB-expressing macrophages, whereas the outer layers had different dominant cell types. Notably, GPNMB-expressing macrophages were concentrated near SMCs in regions of severe elastic lamina damage. Immunofluorescent staining confirmed their colocalization, and scRNA-seq reanalysis independently validated the presence of GPNMB-high macrophages in AAA tissues, highlighting their involvement in inflammation and tissue remodeling. Moreover, we discovered that macrophage-derived soluble GPNMB induces SMC phenotypic switching, reducing contractile markers while increasing cytokines and metalloproteinases. This effect was partly mediated by CD44 signaling. These findings suggest that GPNMB-high macrophages contribute to AAA development by driving SMC dysfunction. This study highlights the importance of high-resolution spatial transcriptomics in complementing single-cell transcriptomics, offering valuable insights into molecular and cellular responses in the AAA microenvironment.
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