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动脉粥样硬化中的免疫调节与二硫键介导的程序性坏死影响疾病进展和治疗。

Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy.

作者信息

Lu Wei, Zhang Zhidong, Qiao Gang, Zou Gangqiang, Li Guangfeng

机构信息

Heart Center of Henan Provincial People's Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou 451460, China.

出版信息

Biomedicines. 2025 Apr 9;13(4):926. doi: 10.3390/biomedicines13040926.

Abstract

Atherosclerosis is a progressive and complex vascular pathology characterized by cellular heterogeneity, metabolic dysregulation, and chronic inflammation. Despite extensive research, the intricate molecular mechanisms underlying its development and progression remain incompletely understood. Single-cell RNA sequencing (scRNA-seq) was employed to conduct a comprehensive mapping of immune cell enrichment and interactions within atherosclerotic plaques, aiming to investigate the cellular and molecular complexities of these structures. This approach facilitated a deeper understanding of the heterogeneities present in smooth muscle cells, which were subsequently analyzed using pseudotime trajectory analysis to monitor the developmental trajectories of smooth muscle cell (SMC) subpopulations. An integrative bioinformatics approach, primarily utilizing Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning techniques, identified Cathepsin C (CTSC), transforming growth factor beta-induced protein (TGFBI), and glia maturation factor-γ (GMFG) as critical biomarkers. A diagnostic risk score model was developed and rigorously tested through Receiver Operating Characteristic analysis. To illustrate the functional impact of CTSC on the regulation of plaque formation and SMC viability, both in vitro and in vivo experimental investigations were conducted. An analysis revealed SMCs identified as the most prominent cellular type, exhibiting the highest density of disulfidptosis. Pseudotime trajectory analysis illuminated the dynamic activation pathways in SMCs, highlighting their significant role in plaque development and instability. Further characterization of macrophage subtypes demonstrated intercellular communication with SMCs, which exhibited specific signaling pathways, particularly between the proximal and core areas of plaques. The integrated diagnostic risk score model, which incorporates CTSC, TGFBI, and GMFG, proved to be highly accurate in distinguishing high-risk patients with elevated immune responses and systemic inflammation. Knockdown experiments of CTSC conducted in vitro revealed enhanced SMC survival rates, reduced oxidative stress, and inhibited apoptosis, while in vivo experiments confirmed a decrease in plaque burden and improvement in lipid profiles. This study emphasizes the significance of disulfidptosis in the development of atherosclerosis and identifies CTSC as a potential therapeutic target for stabilizing plaques by inhibiting SMC apoptosis and oxidative damage. Additionally, the risk score model serves as a valuable diagnostic tool for identifying high-risk patients and guiding precision treatment strategies.

摘要

动脉粥样硬化是一种渐进性和复杂性的血管病变,其特征为细胞异质性、代谢失调和慢性炎症。尽管进行了广泛研究,但其发生和发展背后复杂的分子机制仍未完全阐明。采用单细胞RNA测序(scRNA-seq)对动脉粥样硬化斑块内免疫细胞富集和相互作用进行全面图谱绘制,旨在研究这些结构的细胞和分子复杂性。这种方法有助于更深入地了解平滑肌细胞中存在的异质性,随后使用伪时间轨迹分析对其进行分析,以监测平滑肌细胞(SMC)亚群的发育轨迹。一种主要利用加权基因共表达网络分析(WGCNA)和机器学习技术的综合生物信息学方法,确定组织蛋白酶C(CTSC)、转化生长因子β诱导蛋白(TGFBI)和神经胶质成熟因子γ(GMFG)为关键生物标志物。开发了一种诊断风险评分模型,并通过受试者工作特征分析进行了严格测试。为了阐明CTSC对斑块形成调节和SMC活力的功能影响,进行了体外和体内实验研究。分析显示,SMC被确定为最主要的细胞类型,表现出最高的二硫键化坏死密度。伪时间轨迹分析揭示了SMC中的动态激活途径,突出了它们在斑块发展和不稳定性中的重要作用。巨噬细胞亚型的进一步表征显示了与SMC的细胞间通讯,SMC表现出特定的信号通路,特别是在斑块的近端和核心区域之间。纳入CTSC、TGFBI和GMFG的综合诊断风险评分模型在区分免疫反应增强和全身炎症升高的高危患者方面被证明具有高度准确性。体外进行的CTSC敲低实验显示SMC存活率提高、氧化应激降低和细胞凋亡受到抑制,而体内实验证实斑块负担减轻和脂质谱改善。本研究强调二硫键化坏死在动脉粥样硬化发展中的重要性,并确定CTSC是通过抑制SMC凋亡和氧化损伤来稳定斑块的潜在治疗靶点。此外,风险评分模型是识别高危患者和指导精准治疗策略的有价值诊断工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a686/12025079/9d4e146c04fe/biomedicines-13-00926-g001.jpg

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