Bioinformatics Approach to Investigating the Immuno-Inflammatory Mechanisms of Periodontitis in the Progression of Atherosclerosis DOI Creative Commons
Wenling Yang, Jianhua Xie,

Xing Zhao

et al.

Current Issues in Molecular Biology, Journal Year: 2025, Volume and Issue: 47(3), P. 197 - 197

Published: March 17, 2025

Unstable atherosclerotic plaques are a major cause of acute cardiovascular events and ischemic stroke. Clinical studies have suggested link between periodontitis plaque progression, but the underlying mechanisms remain unclear. To investigate this, transcriptomic datasets related to atherosclerosis were downloaded from Gene Expression Omnibus. A weighted gene co-expression network analysis was used identify modules associated with periodontitis, Limma R package identified differentially expressed genes (DEGs) unstable stable plaques. Overlapping defined as periodontitis-related DEGs, followed by functional enrichment protein–protein interaction construction. Machine learning methods biomarkers for which validated using external datasets. Immune infiltration single-cell analyses performed explore relationship immune cells. total 161 DEGs identified, pathway showing associations regulation collagen matrix degradation. HCK, NCKAP1L, WAS plaques, demonstrating high diagnostic value (AUC: 0.9884, 95% CI: 0.9641–1). revealed an increase in macrophages within Single-cell showed HCK expression dendritic cells, while NCKAP1L macrophages, NK T Consensus clustering three patterns Our findings mouse models periodontitis. This study provides insights into how contributes instability, supporting diagnosis intervention patients

Language: Английский

Bioinformatics Approach to Investigating the Immuno-Inflammatory Mechanisms of Periodontitis in the Progression of Atherosclerosis DOI Creative Commons
Wenling Yang, Jianhua Xie,

Xing Zhao

et al.

Current Issues in Molecular Biology, Journal Year: 2025, Volume and Issue: 47(3), P. 197 - 197

Published: March 17, 2025

Unstable atherosclerotic plaques are a major cause of acute cardiovascular events and ischemic stroke. Clinical studies have suggested link between periodontitis plaque progression, but the underlying mechanisms remain unclear. To investigate this, transcriptomic datasets related to atherosclerosis were downloaded from Gene Expression Omnibus. A weighted gene co-expression network analysis was used identify modules associated with periodontitis, Limma R package identified differentially expressed genes (DEGs) unstable stable plaques. Overlapping defined as periodontitis-related DEGs, followed by functional enrichment protein–protein interaction construction. Machine learning methods biomarkers for which validated using external datasets. Immune infiltration single-cell analyses performed explore relationship immune cells. total 161 DEGs identified, pathway showing associations regulation collagen matrix degradation. HCK, NCKAP1L, WAS plaques, demonstrating high diagnostic value (AUC: 0.9884, 95% CI: 0.9641–1). revealed an increase in macrophages within Single-cell showed HCK expression dendritic cells, while NCKAP1L macrophages, NK T Consensus clustering three patterns Our findings mouse models periodontitis. This study provides insights into how contributes instability, supporting diagnosis intervention patients

Language: Английский

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