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

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.

Automated summary

This study aimed to identify key biomarkers associated with immune cell infiltration in peri-implantitis using bioinformatic analyses. By analyzing the gene expression profiles, we identified ten candidate biomarkers and found that the increase of CD4+ T cells, iTreg, and Tfh cells in peri-implantitis was positively correlated with the expression levels of TLR4, CCL3, CXCL8, and IL1B.