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

IF 2.4 3区 医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE
Odontology Pub Date : 2025-07-01 Epub Date: 2025-02-07 DOI:10.1007/s10266-025-01061-0
Jinxin Zheng, Bin Yin, Pingping Bao
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引用次数: 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.

从不可逆牙髓炎到牙周病过渡的预测模型的构建。
不可逆性牙髓炎可发展为牙髓坏死,引起根尖牙周炎。根尖牙周炎的发展常伴有牙周病。根尖牙周炎(AP)和牙周病都涉及许多相似的炎症反应途径。特异性免疫细胞的浸润和免疫反应的激活被认为在不可逆性牙髓炎向AP和牙周相关疾病的转变中起重要作用。本研究探讨牙髓炎向牙周病转变过程中的免疫反应特征。本研究还结合已知的与此转化相关的临床和影像学指标构建了预测模型。与不可逆性牙髓炎、根尖牙周炎和牙周病相关的基因表达数据从基因表达综合数据库(GEO)中提取。比较和鉴定差异表达基因(DEGs)。进行KEGG(京都基因和基因组百科全书)富集分析以鉴定免疫相关途径。筛选关键基因特征,并采用回顾性研究策略从不可逆性牙髓炎患者中收集80份样本。结合患者的牙髓感觉试验指标、龋深、根管弯曲度、炎症指标,建立临床牙周病的logistic回归模型。采用受试者工作特征(ROC)曲线分析评价模型的预测性能。在从牙髓炎到根尖牙周炎和牙周相关疾病的转变过程中,确定了五个共同的基因特征。经回归分析和ROC分析显示4个基因的表达情况,电牙髓试验(EPT)值是预测根尖牙周炎发生的特异性和敏感性最好的预测模型。我们建立了预测牙髓炎向牙周病转变的预后模型并进行了评估。
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来源期刊
Odontology
Odontology 医学-牙科与口腔外科
CiteScore
5.30
自引率
4.00%
发文量
91
审稿时长
>12 weeks
期刊介绍: The Journal Odontology covers all disciplines involved in the fields of dentistry and craniofacial research, including molecular studies related to oral health and disease. Peer-reviewed articles cover topics ranging from research on human dental pulp, to comparisons of analgesics in surgery, to analysis of biofilm properties of dental plaque.
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