阐明KCTD10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来推进理解。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang
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引用次数: 0

摘要

动脉粥样硬化(AS)越来越被认为是一种慢性炎症性疾病,严重损害血管健康,是心血管疾病的主要诱因。KCTD10是一种涉及多种生物过程的蛋白质,因其在心血管疾病和代谢调节中的作用而引起了极大的关注。作为KCTD蛋白家族的一员,KCTD10的特点是存在一个T1结构域,该结构域与电压门控钾通道相互作用,这是调节通道活性和细胞内信号转导的关键相互作用。在我们的研究中,通过对GEO数据库多个数据集(GSE43292和GSE9820)中的差异表达基因(DEGs)进行综合分析,并与import数据库中的免疫相关基因集进行比对,KCTD10被确定为焦点。先进的分析工具,包括Lasso回归和支持向量机递归特征消除(SVM-RFE),以完善我们的基因选择。我们进一步应用基因集富集分析(GSEA)和基因集变异分析(GSVA)对这些基因集进行分析,揭示了免疫相关途径的显著富集。使用CIBERSORT和ESTIMATE算法检测KCTD10表达与免疫过程之间的关系,以评估肿瘤微环境特征,表明免疫细胞浸润增加与KCTD10高表达相关。使用来自GSE9820数据集的数据对这些发现进行了验证。在与KCTD10连锁的10个deg中,通过LASSO和SVM-RFE分析鉴定出13个为枢纽基因。功能分析强调了KCTD10在增强病毒防御机制、细胞因子产生和免疫级联反应中的作用。值得注意的是,KCTD10的表达与几种免疫细胞呈正相关,包括初始CD4 + T细胞、嗜酸性粒细胞、静息NK细胞、中性粒细胞、M0巨噬细胞,尤其是M1巨噬细胞,这表明KCTD10的表达与免疫细胞呈正相关。这项研究阐明了KCTD10与AS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。我们的研究结果为进一步的研究提供了坚实的基础,表明靶向kctd10相关通路可以显著促进我们对AS的理解和管理,为治疗干预提供新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding.

Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and serves as a major contributor to cardiovascular diseases. KCTD10, a protein implicated in a variety of biological processes, has garnered significant attention for its role in cardiovascular diseases and metabolic regulation. As a member of the KCTD protein family, KCTD10 is characterized by the presence of a T1 domain that interacts with voltage-gated potassium channels, a critical interaction for modulating channel activity and intracellular signal transduction. In our study, KCTD10 was identified as a focal point through an integrative analysis of differentially expressed genes (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 Support Vector Machine-Recursive Feature Elimination (SVM-RFE), were employed to refine our gene selection. We further applied Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) to these gene sets, revealing significant enrichment in immune-related pathways. The relationship between KCTD10 expression and immune processes was examined using CIBERSORT and ESTIMATE algorithms to assess tumor microenvironment characteristics, suggesting increased immune cell infiltration associated with higher KCTD10 expression. Validation of these findings was conducted using data from the GSE9820 dataset. Among 10 DEGs linked with KCTD10, 13 were identified as hub genes through LASSO and SVM-RFE analyses. Functional assays highlighted KCTD10's role in enhancing viral defense mechanisms, cytokine production, and immune cascades. Notably, KCTD10 expression correlated positively with several immune cells, including naive CD4 + T cells, eosinophils, resting NK cells, neutrophils, M0 macrophages, and particularly M1 macrophages, indicating a significant association. This research elucidates the complex relationship between KCTD10 and AS, underscoring its potential as a novel biomarker for diagnosing and monitoring the disease. Our findings provide a solid foundation for further investigations, suggesting that targeting KCTD10-related pathways could markedly advance our understanding and management of AS, offering new avenues for therapeutic intervention.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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