PDF(Pubmed)
Abstract：
BACKGROUND: Peri-implantitis and periodontitis have similar immunological bioprocesses and inflammatory phenotypes. In the inflammatory process, the adaptive immune cells can drive the development of disease. This research investigated the differences and diagnostic significance of peri-implantitis and periodontitis in adaptive immune responses.
METHODS: We acquired four GEO datasets of gene expressions in surrounding tissues in healthy person, healthy implant, periodontitis, and peri-implantitis patients. The structural characteristics and enrichment analyses of differential expression genes were examined. The adaptive immune landscapes in peri-implantitis and periodontitis were then evaluated using single sample gene set enrichment analysis. The STRING database and Cytoscape were used to identify adaptive hub genes, and the ROC curve was used to verify them. Finally, qRT-PCR method was used to verify the expression level of Hub gene in activated T cells on the titanium-containing or titanium-free culture plates.
RESULTS: At the transcriptome level, the data of healthy implant, peri-implantitis and periodontitis were highly dissimilar. The peri-implantitis and periodontitis both exhibited adaptive immune response. Except for the activated CD4+T cells, there was no significant difference in other adaptive immune cells between peri-implantitis and periodontitis. In addition, correlation analysis showed that CD53, CYBB, and PLEK were significantly positively linked with activated CD4+T cells in the immune microenvironment of peri-implantitis, making them effective biomarkers to differentiate it from periodontitis.
CONCLUSIONS: Peri-implantitis has a uniquely immunogenomic landscape that differs from periodontitis. This study provides new insights and ideas into the activated CD4+T cells and hub genes that underpin the immunological bioprocess of peri-implantitis.
METHODS: We acquired four GEO datasets of gene expressions in surrounding tissues in healthy person, healthy implant, periodontitis, and peri-implantitis patients. The structural characteristics and enrichment analyses of differential expression genes were examined. The adaptive immune landscapes in peri-implantitis and periodontitis were then evaluated using single sample gene set enrichment analysis. The STRING database and Cytoscape were used to identify adaptive hub genes, and the ROC curve was used to verify them. Finally, qRT-PCR method was used to verify the expression level of Hub gene in activated T cells on the titanium-containing or titanium-free culture plates.
RESULTS: At the transcriptome level, the data of healthy implant, peri-implantitis and periodontitis were highly dissimilar. The peri-implantitis and periodontitis both exhibited adaptive immune response. Except for the activated CD4+T cells, there was no significant difference in other adaptive immune cells between peri-implantitis and periodontitis. In addition, correlation analysis showed that CD53, CYBB, and PLEK were significantly positively linked with activated CD4+T cells in the immune microenvironment of peri-implantitis, making them effective biomarkers to differentiate it from periodontitis.
CONCLUSIONS: Peri-implantitis has a uniquely immunogenomic landscape that differs from periodontitis. This study provides new insights and ideas into the activated CD4+T cells and hub genes that underpin the immunological bioprocess of peri-implantitis.
摘要：
背景：种植体周炎和牙周炎具有相似的免疫生物过程和炎症表型。在炎症过程中，适应性免疫细胞可以驱动疾病的发展。本研究探讨了种植体周炎和牙周炎在适应性免疫反应中的差异和诊断意义。
方法：我们获得了健康人周围组织中基因表达的四个GEO数据集，健康的植入物，牙周炎,和种植体周围炎患者。研究了差异表达基因的结构特征和富集分析。然后使用单样品基因集富集分析评估种植体周围炎和牙周炎的适应性免疫景观。STRING数据库和Cytoscape用于识别适应性hub基因，并使用ROC曲线进行验证。最后,qRT-PCR方法用于验证在含钛或无钛培养板上的活化T细胞中Hub基因的表达水平。
结果：在转录组水平，健康植入物的数据，种植体周围炎和牙周炎高度不同。种植体周炎和牙周炎均表现出适应性免疫反应。除了激活的CD4+T细胞，其他适应性免疫细胞在种植体周围炎和牙周炎之间没有显着差异。此外,相关分析表明,CD53、CYBB、在种植体周围炎的免疫微环境中，PLEK与活化的CD4+T细胞呈显著正相关，使它们成为区分牙周炎的有效生物标志物。
结论：种植体周围炎具有不同于牙周炎的独特的免疫基因组景观。这项研究为激活的CD4T细胞和hub基因提供了新的见解和思路，这些基因是种植体周围炎的免疫生物过程的基础。
方法：我们获得了健康人周围组织中基因表达的四个GEO数据集，健康的植入物，牙周炎,和种植体周围炎患者。研究了差异表达基因的结构特征和富集分析。然后使用单样品基因集富集分析评估种植体周围炎和牙周炎的适应性免疫景观。STRING数据库和Cytoscape用于识别适应性hub基因，并使用ROC曲线进行验证。最后,qRT-PCR方法用于验证在含钛或无钛培养板上的活化T细胞中Hub基因的表达水平。
结果：在转录组水平，健康植入物的数据，种植体周围炎和牙周炎高度不同。种植体周炎和牙周炎均表现出适应性免疫反应。除了激活的CD4+T细胞，其他适应性免疫细胞在种植体周围炎和牙周炎之间没有显着差异。此外,相关分析表明,CD53、CYBB、在种植体周围炎的免疫微环境中，PLEK与活化的CD4+T细胞呈显著正相关，使它们成为区分牙周炎的有效生物标志物。
结论：种植体周围炎具有不同于牙周炎的独特的免疫基因组景观。这项研究为激活的CD4T细胞和hub基因提供了新的见解和思路，这些基因是种植体周围炎的免疫生物过程的基础。
