Screening of key genes for Alzheimer disease and chronic periodontitis based on bioinformatics
10.12007/j.issn.0258-4646.2025.11.012
- VernacularTitle:基于生物信息学筛选阿尔茨海默病和慢性牙周炎的关键基因
- Author:
Yanyan YANG
1
;
Lingyu FANG
;
Xuejing MA
;
Chang LIU
;
Lili REN
;
Peng WANG
Author Information
1. 锦州医科大学基础医学院神经生物学教研室,辽宁省神经退行性疾病重点实验室,辽宁 锦州 121000
- Publication Type:Journal Article
- Keywords:
Alzheimer disease;
chronic periodontitis;
KLRB1;
bioinformatics
- From:
Journal of China Medical University
2025;54(11):1029-1035
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the potential biological relationship between Alzheimer disease(AD)and chronic periodontitis(CP)by bioinformatics.Methods We analyzed two datasets of AD and CP from the Gene Expression Omnibus database,and differentially expressed genes(DEGs)were identified from these datasets.Weighted gene co-expression network analysis(WGCNA)was used to identify the most relevant modules.Functional enrichment analysis of shared genes was performed,and a protein-protein interaction(PPI)network was constructed.MCODE was used to identify key modules,and machine learning was used to discover key genes.In addition,Gene Set Enrichment Analysis(GSEA)and CIBERSORT were used to investigate KLRB1-related molecular pathways and immune cell distribu-tion.Results The study identified 18 genes common to both AD and CP.MCODE analysis revealed five pivotal genes,machine learning identified 13 genes for AD,eight for CP,and KLRB1 was determined as a common gene for AD and CP.GSEA demonstrated the intricate involvement of these genes in disease-related pathways.Immunocellular analysis underscored a significant association between KLRB1 and γδT cells.Conclusion This research highlighted KLRB1 as a key gene for AD and CP,providing new insights into their molecular linkages.