ty -jour a2 -huang，tao au -xin，bingchang au -lin，yuxiang au -tian，he au -au -song，jia au -zhang -zhang，liwei au -lv，jian py -jian py -2021 da -2021/09/29 ti--29 ti--29 ti--29 ti--29 ti--29使用生物信息学方法SP -1808361 VL -2021 AB-牙髓组织的炎症反应在病原体消除和组织修复中起作用。牙髓炎严重程度的评估可以在治疗方案中起启发性的功能。但是，传统评估方法在牙髓炎严重程度上存在许多局限性。基于基因表达综合（GEO）数据库，我们的研究发现了843个与牙髓炎有关的差异表达基因（DEG）。之后，我们构建了DEG的蛋白质 - 蛋白质相互作用（PPI）网络，并使用MCODE插件来确定键功能子集。同时，关键功能子集中的基因进行GO和KEGG富集分析。结果表明，基因主要富含与炎症反应相关的功能。接下来，我们筛选出PPI网络节点和与牙髓炎相关的基因的交叉点。然后，获得20个基因作为种子基因。 In the PPI network, 50 genes that had the highest correlation with seed genes were screened out using random walk with restart (RWR). Furthermore, 4 pulpitis-related hub genes were obtained from the intersection of the top 50 genes and genes in the key functional subset. Finally, GeneMANIA was utilized to predict genes coexpressed with hub genes, and expression levels of the 4 hub genes in normal and pulpitis groups were analyzed based on GEO data. The result demonstrated that the 4 hub genes were mainly coexpressed with chemokine-related genes and were remarkably upregulated in the pulpitis group. In short, we eventually determined 4 potential biomarkers of pulpitis. SN - 1748-670X UR - https://doi.org/10.1155/2021/1808361 DO - 10.1155/2021/1808361 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -