ArticleInflammation2025
Comprehensive Analysis of Sialylation-Related Gene Profiles and Their Impact on the Immune Microenvironment in Periodontitis.
Article in Inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- NIR-Activated ICG-Loaded M2 Macrophage Exosomes Ameliorate Periodontitis via Targeting Infection Inflammation and Oxidative Stress.Research (Washington, D.C.) · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
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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Registered trials
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