基于生物信息学探索代谢综合征与种植体周炎潜在共同生物标志物及相关免疫细胞浸润的关系  

Exploring the relationship between potential common biomarkers and related immune cell infiltration between metabolic syndrome and peri-implantitis based on bioinformatics

作　　者：陈宇翔 赵安娜 杨霞 杨浩然 程婷婷 饶先琦 李自良[1] CHEN Yu-xiang;ZHAO An-na;YANG Xia;YANG Hao-ran;CHENG Ting-ting;RAO Xian-qi;LI Zi-liang(Stomatological Hospital of Kunming Medical University,Yunnan Provincial Key Laboratory of Stomatology,Kunming 650000,China)

机构地区：[1]昆明医科大学附属口腔医院、云南省口腔医学重点实验室,650000

出　　处：《中华老年口腔医学杂志》2025年第1期37-46,共10页Chinese Journal of Geriatric Dentistry

基　　金：国家自然科学基金(82360185);昆明医科大学教学研究教学改革项目(2024-JY-Z-19)。

摘　　要：目的本研究旨在揭示代谢综合征(metabolic syndrome,MetS)与种植体周炎(peri-implantitis,PI)之间潜在共同生物标志物及相关免疫细胞浸润,并构建PI诊断模型。方法从GEO数据库下载MetS与PI的转录组数据,利用加权基因共表达网络分析和差异表达分析筛选出两疾病的共同致病基因,对其类别进行界定并进行富集分析。利用LASSO和Boruta算法筛选枢纽基因后构建PI诊断模型。利用Pearson相关性分析枢纽基因与牙周和种植体周探诊深度的相关性。利用CIBERSORT软件对MetS和PI样本进行免疫浸润分析,并探讨枢纽基因与免疫细胞浸润的关系。结果共筛选出81个共同致病基因,其中糖尿病和骨质疏松症相关基因占比较高,主要富集在与趋化因子及其受体相关的信号通路中。最终确定2个枢纽基因(BATF和CD79B)并构建了诊断模型(AUC=0.932)。免疫浸润分析显示两疾病疾病组和健康组间的免疫细胞浸润水平存在明显差别,且枢纽基因与不同免疫细胞群体之间存在显著相关性。结论BATF和CD79B是MetS和PI的潜在共同生物标志物且与宿主免疫过程间存在密切联系,基于此构建的诊断模型可为MetS患者在PI的预防和早期诊断上提供帮助。Objective This study aims to identify potential common biomarkers and related immune cell infiltration between metabolic syndrome(MetS)and peri implantitis(PI).Additionally,a diagnostic model for PI will be constructed.Method Download transcriptome data of MetS and PI from the GEO database,use weighted gene co-expression network analysis and differential expression analysis to identify common disease-causing genes between the two diseases,categorize them,and conduct enrichment analysis.LASSO and Boruta algorithms were employed to select hub genes,which were then used to develop a diagnostic model for PI.Pearson correlation analysis was used to analyze the relationship between hub genes and periodontal and implant probing depth.CIBERSORT software was used to analyze the immune infiltration of MetS and PI samples,and to explore the relationship between pivot genes and immune cell infiltration.Result A total of 81 co-pathogenic genes were identified,with a significant proportion being related to diabetes and osteoporosis.These genes were mainly involved in signal pathways associated with chemokines and their receptors.Two hub genes(BATF and CD79B)were ultimately identified and a diagnostic model was constructed(AUC=0.932).Immune infiltration analysis showed significant differences in immune cell infiltration levels between the disease group and the healthy group of MetS and PI,and there was a significant correlation between hub genes and different immune cell populations.Conclusion BATF and CD79B are potential common biomarkers for MetS and PI,and they have close relationships with the host immune process.A diagnostic model based on this can provide assistance for the prevention and early diagnosis of PI in MetS patients.

关 键 词：种植体周炎 代谢综合征 机器学习 生物信息学 免疫浸润分析 

分 类 号：R78[医药卫生—口腔医学]