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构建不可逆性牙髓炎向牙周累及疾病转变的预测模型。

Construction of a predictive model for the transition from irreversible pulpitis to periodontal-involved disease.

作者信息

Zheng Jinxin, Yin Bin, Bao Pingping

机构信息

Department of Endodontics, the First Clinical Division of Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin, 300041, China.

Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, Tianjin, 300041, China.

出版信息

Odontology. 2025 Feb 7. doi: 10.1007/s10266-025-01061-0.

Abstract

Irreversible pulpitis can develop into pulp necrosis, causing apical periodontitis (AP). The progression of apical periodontitis is always accompanied by periodontal disease. Many similar inflammatory response pathways are involved in both apical periodontitis (AP) and periodontal disease. The infiltration of specific immune cells and the activation of immune responses are thought to play important roles in the transition from irreversible pulpitis to AP and periodontal-related diseases. This study explored immune response characteristics during the transformation of pulpitis to periodontal disease. The study also constructed a predictive model by combining known clinical and imaging indicators related to this transformation. Gene expression data related to irreversible pulpitis, apical periodontitis, and periodontal disease were extracted from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were compared and identified. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis was performed to identify immune-related pathways. Key gene signatures were screened, and a retrospective research strategy was used to collect 80 samples from patients with irreversible pulpitis. Information about pulp sensation test indicators, caries depth, root canal curvature, and inflammation indices of the patients were combined, and a logistic regression model of clinical periodontal disease was created. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the model. Five genes were identified as common gene signatures during the transition from pulpitis to apical periodontitis and periodontal-involved disease. Following regression and ROC analyses revealed the expression of four genes, and the electric pulp test (EPT) value formed a predictive model with the best specificity and sensitivity in predicting the occurrence of apical periodontitis. A prognostic model was constructed and evaluated for predicting the transition from pulpitis to periodontal disease.

摘要

不可逆性牙髓炎可发展为牙髓坏死,导致根尖周炎(AP)。根尖周炎的进展总是伴随着牙周疾病。根尖周炎(AP)和牙周疾病涉及许多相似的炎症反应途径。特定免疫细胞的浸润和免疫反应的激活被认为在从不可逆性牙髓炎转变为AP及牙周相关疾病的过程中起重要作用。本研究探讨了牙髓炎向牙周疾病转变过程中的免疫反应特征。该研究还通过结合与此转变相关的已知临床和影像学指标构建了一个预测模型。从基因表达综合数据库(GEO)中提取了与不可逆性牙髓炎、根尖周炎和牙周疾病相关的基因表达数据。对差异表达基因(DEGs)进行了比较和鉴定。进行了京都基因与基因组百科全书(KEGG)富集分析以确定免疫相关途径。筛选出关键基因特征,并采用回顾性研究策略从不可逆性牙髓炎患者中收集了80个样本。将患者的牙髓感觉测试指标、龋洞深度、根管弯曲度和炎症指标等信息相结合,建立了临床牙周疾病的逻辑回归模型。进行了受试者操作特征(ROC)曲线分析以评估该模型的预测性能。在从牙髓炎转变为根尖周炎和牙周累及疾病的过程中,有五个基因被确定为共同的基因特征。经过回归和ROC分析,揭示了四个基因的表达情况,并且牙髓电测试(EPT)值与预测根尖周炎发生的最佳特异性和敏感性形成了一个预测模型。构建并评估了一个用于预测从牙髓炎向牙周疾病转变的预后模型。

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