Identification of novel candidate biomarkers related to immune cell infiltration in peri-implantitis

被引:2
作者
Chen, Zhen [1 ]
Yan, Qi [1 ]
Zhang, Rui [1 ]
Li, Yuhong [1 ]
Huang, Shengfu [1 ]
机构
[1] Wuhan Univ, Sch & Hosp Stomatol, State Key Lab Oral & Maxillofacial Reconstruct & R, Hubei Key Lab Stomatol,Minist Educ,Key Lab Oral Bi, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
bioinformatics analysis; diagnostic biomarkers; enrichment analysis; immune cell infiltration; peri-implantitis; BONE LOSS; CREVICULAR FLUID; INFLAMMATION; PERIODONTITIS; RECRUITMENT; CHEMOKINES; MUCOSITIS; MARKERS; HEALTH;
D O I
10.1111/odi.14828
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
ObjectiveThe present study was performed to identify key biomarkers associated with immune cell infiltration in peri-implantitis through bioinformatic analyses.MethodsSix peri-implantitis soft tissue samples and six healthy gingiva samples were obtained from GSE106090, and were used to identify immune-associated differentially expressed genes (DEGs) in peri-implantitis. The candidate biomarkers associated with immune cell infiltration were examined by immunohistochemical staining.ResultsWe identified 2089 upregulated and 2173 downregulated genes. Upregulated DEGs were significantly associated with immune response. Ten key candidate biomarkers were identified in the PPI network, including IL1B, TLR2, TLR4, CCL4, CXCL8, IL10, IL6, CD4, CCL3, and PTPRC. The expression level of the 10 genes increased in peri-implantitis soft tissue samples compared with healthy gingiva samples. The proportion of CD4+ T cells, iTreg, and Tfh in infiltration immune cells increased in peri-implantitis soft tissue samples and were positively correlated with the expression level of candidate biomarkers TLR4, CCL3, CXCL8, and IL1B. Immunohistochemistry showed that there were more lymphocytes in peri-implantitis soft tissue samples, with an increased expression level of TLR4, CCL3, CXCL8, and IL1B.ConclusionIdentification of four novel diagnostic biomarkers was helpful for revealing the molecular mechanisms and could serve as a risk predictor for the immune microenvironment in peri-implantitis.
引用
收藏
页码:3982 / 3992
页数:11
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