全面分析与 Sialylation 相关的基因谱系及其对牙周炎免疫微环境的影响。

IF 4.5 2区 医学 Q2 CELL BIOLOGY Inflammation Pub Date : 2024-11-29 DOI:10.1007/s10753-024-02177-1
Qibing Wu, Yixi Niu, Hanmo Li, Yaping Pan, Chen Li
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引用次数: 0

摘要

牙周炎是一种受宿主免疫反应强烈影响的慢性炎症性疾病。细胞表面异常唾液化在炎症和免疫中起着关键作用。本研究旨在鉴定与牙周炎相关的唾液化相关基因,并探讨其对牙周免疫微环境的影响。在检索和整合数据集后,采用差异表达分析和机器学习来确定核心唾液化相关基因。根据免疫细胞浸润分析,构建了包含这些基因的诊断模型。共识聚类和加权基因共表达网络分析将牙周炎患者分层为亚组,并确定相关模块基因。通过伪时间序列分析和细胞通讯分析,进一步利用单细胞测序数据来研究唾液化对牙周免疫微环境的影响。发现6个关键唾液化基因(CHST2、SELP、ST6GAL1、ST3GAL1、NEU1、FCN1)后,牙周炎患者的唾液化评分较高。多基因诊断模型具有较高的准确性和有效性。在牙周免疫微环境中,关键基因与免疫细胞群(如单核细胞和B细胞)之间存在显著相关性。聚类分析揭示了两个不同的唾液化相关亚群与不同的免疫谱。单细胞数据显示,唾液化相关基因在单核细胞中的表达显著增加,这被发现显著影响它们的发育过程以及它们与B细胞的细胞间通讯。六个鉴定的唾液化相关基因具有作为牙周炎生物标志物的潜力。高唾液化表达可影响单核细胞的分化和细胞间通讯。唾液化相关基因与牙周免疫微环境的改变密切相关。
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Comprehensive Analysis of Sialylation-Related Gene Profiles and Their Impact on the Immune Microenvironment in Periodontitis.

Periodontitis is a chronic inflammatory disease strongly influenced by host's immune response. Aberrant sialylation on cell surface plays a key role in inflammation and immunity. This study aims to identify sialylation-related genes associated with periodontitis and explore their impact on periodontal immune microenvironment. Differential expression analysis and machine learning were employed to determine core sialylation-related genes after datasets were retrieved and integrated. A diagnostic model incorporating these genes was constructed, following the immune cell infiltration analysis. Consensus clustering and weighted gene co-expression network analysis stratified periodontitis patients into subgroups and identified associated module genes. Single-cell sequencing data was further utilized to investigate the impact of sialylation on the periodontal immune microenvironment with pseudo-time series analysis and cell communication analysis. Periodontitis had a higher sialylation score with six key sialylation genes (CHST2, SELP, ST6GAL1, ST3GAL1, NEU1, FCN1) identified. The multi-gene diagnostic model demonstrated high accuracy and efficacy. Significant associations were observed between the key genes and immune cell populations, such as monocytes and B cells, in the periodontal immune microenvironment. Clustering analysis revealed two distinct sialylation-related subgroups with differential immune profiles. Single-cell data showed a significantly higher expression of sialylation-related genes in monocytes, which was found to significantly impact their developmental processes as well as their intercellular communication with B cells. The six identified sialylation-related genes hold potential as periodontitis biomarkers. High sialylation expression can impact the differentiation and cell-cell communication of monocytes. Sialylation-related genes are closely associated with alterations in the periodontal immune microenvironment.

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来源期刊
Inflammation
Inflammation 医学-免疫学
CiteScore
9.70
自引率
0.00%
发文量
168
审稿时长
3.0 months
期刊介绍: Inflammation publishes the latest international advances in experimental and clinical research on the physiology, biochemistry, cell biology, and pharmacology of inflammation. Contributions include full-length scientific reports, short definitive articles, and papers from meetings and symposia proceedings. The journal''s coverage includes acute and chronic inflammation; mediators of inflammation; mechanisms of tissue injury and cytotoxicity; pharmacology of inflammation; and clinical studies of inflammation and its modification.
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