Zhang Yi, Zhang Lingmin, Jia Yunfang, Fang Jing, Zhang Shuancheng, Hou Xianming
Heibei Key Laboratory of Chinese Medicine Research on Cardio-cerebrovascular Disease, Hebei University of Traditional Chinese Medicine, Shijiazhuang City, Hebei Province, China.
Teaching and Research Office of Typhoon Fever Theory at the School of Basic Medicine, Hebei University of Traditional Chinese Medicine, Shijiazhuang City, Hebei Province, China.
PLoS One. 2024 Dec 9;19(12):e0307904. doi: 10.1371/journal.pone.0307904. eCollection 2024.
Immune microenvironment is one of the essential characteristics of carotid atherosclerosis (CAS), which cannot be reversed by drug therapy alone. Thus, there is a pressing need to develop novel immunoregulatory strategies to delay this pathological process that drives cardiovascular-related diseases. This study aimed to detect changes in the immune microenvironment of vascular tissues at various stages of carotid atherosclerosis, as well as cluster and stratify vascular tissue samples based on the infiltration levels of immune cell subtypes to distinguish immune phenotypes and identify potential hub genes regulating the immune microenvironment of carotid atherosclerosis.
RNA sequencing datasets for CAS vascular tissue and healthy vascular tissue (GSE43292 and GSE28829) were downloaded from the Gene Expression Omnibus (GEO) database. To begin, the immune cell subtype infiltration level of all samples in both GSE43292 and GSE28829 cohorts was assessed using the ssGSEA algorithm. Following this, consensus clustering was performed to stratify CAS samples into different clusters. Finally, hub genes were identified using the maximum neighborhood component algorithm based on the construction of interaction networks, and their diagnostic efficiency was evaluated.
Compared to the controls, a higher number of immune cell subtypes were enriched in CAS samples with higher immune scores in the GSE43292 cohort. Advanced CAS was characterized by high immune cell infiltration, whereas early CAS was characterized by low immune cell infiltration in the GSE28829 cohort. Moreover, CAS progression may be related to the immune response pathway. Biological processes associated with muscle cell development may impede the progression of CAS. Finally, the hub genes PTPRC, ACTN2, ACTC1, LDB3, MYOZ2, and TPM2 had satisfactory efficacy in the diagnosis and prediction of high and low immune cell infiltration in CAS and distinguishing between early and advanced CAS samples.
The enrichment of immune cells in vascular tissues is a primary factor driving pathological changes in CAS. Additionally, CAS progression may be related to the immune response pathway. Biological processes linked to muscle cell development may delay the progression of CAS. PTPRC, ACTN2, ACTC1, LDB3, MYOZ2, and TPM2 may regulate the immune microenvironment of CAS and participate in the occurrence and progression of the disease.
免疫微环境是颈动脉粥样硬化(CAS)的基本特征之一,仅靠药物治疗无法逆转。因此,迫切需要开发新的免疫调节策略来延缓这种导致心血管相关疾病的病理过程。本研究旨在检测颈动脉粥样硬化各阶段血管组织免疫微环境的变化,并根据免疫细胞亚型的浸润水平对血管组织样本进行聚类和分层,以区分免疫表型并确定调节颈动脉粥样硬化免疫微环境的潜在关键基因。
从基因表达综合数据库(GEO)下载CAS血管组织和健康血管组织的RNA测序数据集(GSE43292和GSE28829)。首先,使用单样本基因集富集分析(ssGSEA)算法评估GSE43292和GSE28829队列中所有样本的免疫细胞亚型浸润水平。在此之后,进行一致性聚类以将CAS样本分层为不同的簇。最后,基于相互作用网络的构建,使用最大邻域成分算法鉴定关键基因,并评估其诊断效率。
与对照组相比,GSE43292队列中免疫评分较高的CAS样本富集了更多的免疫细胞亚型。在GSE28829队列中,晚期CAS的特征是免疫细胞高浸润,而早期CAS的特征是免疫细胞低浸润。此外,CAS进展可能与免疫反应途径有关。与肌肉细胞发育相关的生物学过程可能会阻碍CAS的进展。最后,关键基因PTPRC、ACTN2、ACTC1、LDB3、MYOZ2和TPM2在诊断和预测CAS中免疫细胞高浸润和低浸润以及区分早期和晚期CAS样本方面具有令人满意的效果。
血管组织中免疫细胞的富集是驱动CAS病理变化的主要因素。此外,CAS进展可能与免疫反应途径有关。与肌肉细胞发育相关的生物学过程可能会延缓CAS的进展。PTPRC、ACTN2、ACTC1、LDB3、MYOZ2和TPM2可能调节CAS的免疫微环境并参与疾病的发生和发展。