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阐明KLRD1在冠状动脉粥样硬化中的作用:利用生物信息学和机器学习促进理解。

Elucidating the role of KLRD1 in coronary atherosclerosis: harnessing bioinformatics and machine learning to advance understanding.

作者信息

Liang Huan, Liang Xiao, Zheng Man, Wang Shoudong

机构信息

State Key Laboratory for Innovation and Transformation of Luobing Theory; Key Laboratory of Cardiovascular Remodeling and Function Research of MOE, NHC, CAMS and Shandong Province; Department of Cardiology, Qilu Hospital of Shandong University, Jinan, 250012, China.

Department of Cardiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266035, China.

出版信息

J Cardiothorac Surg. 2025 May 30;20(1):248. doi: 10.1186/s13019-025-03473-z.

Abstract

BACKGROUND

Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and serves as a major contributor to cardiovascular diseases. KLRD1 is a gene that encodes a protein involved in the immune system, specifically in the function of natural killer (NK) cells.

METHODS

KLRD1 was identified as a focal point through an integrative analysis of DEGs across multiple datasets (GSE43292 and GSE9820) from the GEO database, aligned with immune-related gene sets from the ImmPort database. Advanced analytical tools, including Lasso regression and SVM-RFE, were employed to refine our gene selection. We further applied GSEA and GSVA to these gene sets, revealing significant enrichment in immune-related pathways. The relationship between KLRD1 expression and immune processes was examined using CIBERSORT and ESTIMATE algorithms to assess tumor microenvironment characteristics, suggesting increased immune cell infiltration associated with higher KLRD1 expression. Validation of these findings was conducted using data from the GSE9820 dataset.

RESULTS

Among 340 DEGs linked with KLRD1, 13 were identified as hub genes through LASSO and SVM-RFE analyses. Functional assays highlighted KLRD1's role in mononuclear cell differentiation, regulation of cell-cell adhesion, regulation of T cell activation. A Lollipop was created to display the expression patterns of Correlation Coefficient. T cells CD8, Plasma cells, Dendritic cells activated, T cells CD4 memory resting, T cells CD4 memory activated, T cells gamma delta.

CONCLUSIONS

This research elucidates the complex relationship between KLRD1 and AS, underscoring its potential as a novel biomarker for diagnosing and monitoring the disease.

摘要

背景

动脉粥样硬化(AS)日益被认为是一种慢性炎症性疾病,它严重损害血管健康,是心血管疾病的主要促成因素。KLRD1是一个编码参与免疫系统,特别是自然杀伤(NK)细胞功能的蛋白质的基因。

方法

通过对来自基因表达综合数据库(GEO数据库)的多个数据集(GSE43292和GSE9820)中的差异表达基因(DEG)进行综合分析,将KLRD1确定为一个重点研究对象,并与来自免疫数据库(ImmPort数据库)的免疫相关基因集进行比对。采用包括套索回归和支持向量机递归特征消除(SVM-RFE)在内的先进分析工具来优化我们的基因选择。我们进一步将基因集富集分析(GSEA)和基因集变异分析(GSVA)应用于这些基因集,揭示了免疫相关通路的显著富集。使用CIBERSORT和ESTIMATE算法来评估肿瘤微环境特征,从而研究KLRD1表达与免疫过程之间的关系,结果表明KLRD1表达越高,免疫细胞浸润增加。使用来自GSE9820数据集的数据对这些发现进行了验证。

结果

在与KLRD1相关的340个差异表达基因中,通过套索回归和支持向量机递归特征消除分析确定了13个为核心基因。功能分析突出了KLRD1在单核细胞分化、细胞间粘附调节、T细胞活化调节中的作用。创建了一个棒棒糖图来展示相关系数的表达模式。包括CD8 + T细胞、浆细胞、活化的树突状细胞、静息记忆CD4 + T细胞、活化记忆CD4 + T细胞、γδT细胞。

结论

本研究阐明了KLRD1与动脉粥样硬化之间的复杂关系,强调了其作为诊断和监测该疾病的新型生物标志物的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46db/12124003/f29f836416ef/13019_2025_3473_Fig1_HTML.jpg

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