Yao Guoqing, Hu Xuemei, Song Daqiang, Yao Jin, Chen Deqing, Luan Tiankuo, Zhao Yu
Department of Vascular Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Department of Endocrinology, The People's Hospital of Rongchang District, Chongqing, 402460, People's Republic of China.
J Inflamm Res. 2024 Dec 13;17:11009-11027. doi: 10.2147/JIR.S499593. eCollection 2024.
The relationship between macrophages and the progression of abdominal aortic aneurysms (AAA) remains unclear, and effective biomarkers are lacking. In this study, we elucidated the mechanism whereby macrophages promote AAA development and identified associated biomarkers, with the goal of developing new targeted therapies and improving patient outcomes.
Differential expression analysis, weighted gene co-expression network analysis, and single-cell analysis were used to identify macrophage-related genes in an AAA dataset. Machine learning algorithms identified , and as key macrophage-related genes upregulated in AAA; these four hub genes were then used to construct a nomogram as an auxiliary tool for clinical diagnosis. Subsequent downstream single-cell and CellChat analyses were conducted to observe the interactions between macrophages and fibroblasts and analyze potential pathways.
Single-cell validation confirmed enhanced THBS1 expression in macrophages in AAA. CellChat analysis revealed enhanced interactions between macrophages and fibroblasts in AAA through THBS1-CD47 signaling. Finally, an analysis of clinical samples from patients with AAA confirmed the high expression of THBS1 and CD47 in AAA and that THBS1 promotes the progression of AAA through the TNF-NFκB signaling pathway. Our findings reveal the THBS1-CD47 signaling pathway as a critical mechanism in macrophage-driven AAA progression, highlighting THBS1's potential as a therapeutic target.
Our findings highlight THBS1 as a potential driver of macrophage-mediated AAA formation and an important biomarker for AAA diagnosis. The study results would help in improving treatment outcomes in patients with AAA. These findings provide a foundation for the development of diagnostic tools and targeted therapies for AAA, potentially improving early detection and patient outcomes.
巨噬细胞与腹主动脉瘤(AAA)进展之间的关系尚不清楚,且缺乏有效的生物标志物。在本研究中,我们阐明了巨噬细胞促进AAA发展的机制,并确定了相关生物标志物,目的是开发新的靶向治疗方法并改善患者预后。
采用差异表达分析、加权基因共表达网络分析和单细胞分析,在AAA数据集中识别巨噬细胞相关基因。机器学习算法确定了[具体基因1]、[具体基因2]、[具体基因3]和[具体基因4]为AAA中上调的关键巨噬细胞相关基因;然后利用这四个枢纽基因构建列线图,作为临床诊断的辅助工具。随后进行下游单细胞分析和CellChat分析,以观察巨噬细胞与成纤维细胞之间的相互作用,并分析潜在途径。
单细胞验证证实AAA中巨噬细胞的THBS1表达增强。CellChat分析显示,AAA中巨噬细胞与成纤维细胞之间通过THBS1-CD47信号传导的相互作用增强。最后,对AAA患者临床样本的分析证实了AAA中THBS1和CD47的高表达,且THBS1通过TNF-NFκB信号通路促进AAA进展。我们的研究结果揭示了THBS1-CD47信号通路是巨噬细胞驱动的AAA进展的关键机制,突出了THBS1作为治疗靶点的潜力。
我们的研究结果突出了THBS1作为巨噬细胞介导的AAA形成的潜在驱动因素以及AAA诊断的重要生物标志物。研究结果将有助于改善AAA患者的治疗效果。这些发现为AAA诊断工具和靶向治疗的开发奠定了基础,可能改善早期检测和患者预后。