Chai Quanyou, Guo Chunling, Li Long, Cao Jimin, Liu Huimin, Lu Zhaoyang
Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, And the Department of Physiology, Shanxi Medical University, Taiyuan, 030001, China.
Heliyon. 2024 Jun 7;10(12):e32692. doi: 10.1016/j.heliyon.2024.e32692. eCollection 2024 Jun 30.
Mounting evidence suggests that intraplaque angiogenesis is associated with the progression of atherosclerotic plaques and the development of intraplaque hemorrhage. The specificity of intraplaque immune cell infiltration may be associated with abnormalities in the structure and function of the nascent capillaries. Here, we analyzed expression levels of angiogenesis-associated genes in early and advanced carotid atheromatous plaque tissues as well as in stable and intraplaque hemorrhage plaques. Expression profiles of advanced arterial plaques based on angiogenesis-associated genes were classified into subtypes by performing a consensus clustering analysis. The correlation between the immune microenvironment of plaques and expression of angiogenesis-associated genes was also explored using the single sample gene set enrichment analysis method and the CIBERSORT algorithm. We identified hub angiogenesis-associated genes showing similar expression patterns throughout plaque adverse progression, and constructed a prediction model using the random forest algorithm. Receiver operating curves were constructed to evaluate efficacy in identification of intraplaque hemorrhage in a plaque. Our results suggest that heterogeneity of angiogenesis-related genes may promote the malignant development of plaques and cause plaque rupture. In conclusion, we propose a model based on expression of angiogenesis-related genes to predict the risk of plaque rupture.
越来越多的证据表明,斑块内血管生成与动脉粥样硬化斑块的进展及斑块内出血的发生有关。斑块内免疫细胞浸润的特异性可能与新生毛细血管的结构和功能异常有关。在此,我们分析了早期和晚期颈动脉粥样斑块组织以及稳定斑块和斑块内出血斑块中血管生成相关基因的表达水平。通过进行一致性聚类分析,将基于血管生成相关基因的晚期动脉斑块表达谱分为不同亚型。还使用单样本基因集富集分析方法和CIBERSORT算法探讨了斑块免疫微环境与血管生成相关基因表达之间的相关性。我们鉴定出在整个斑块不良进展过程中表现出相似表达模式的关键血管生成相关基因,并使用随机森林算法构建了一个预测模型。构建受试者工作特征曲线以评估在识别斑块内出血方面的效能。我们的结果表明,血管生成相关基因的异质性可能促进斑块的恶性发展并导致斑块破裂。总之,我们提出了一个基于血管生成相关基因表达的模型来预测斑块破裂风险。