Background Recurrent aphthous stomatitis remains the most common disease of the oral mucosa. The aim of this study was to investigate the clinical significance of serum interleukin‐6, interleukin‐17A, and tumor necrosis factor‐alpha in recurrent aphthous stomatitis. Methods Using flow cytometry analysis, we detect the level of serum interleukin‐2, interleukin‐6, interleukin‐17A, tumor necrosis factor‐alpha, and interferon‐gamma in 127 patients with recurrent aphthous stomatitis and 20 healthy control cases; compare; and analyze the correlation of each index. Results The levels of serum interleukin‐2, interleukin‐6, tumor necrosis factor‐alpha, and interferon‐gamma in the recurrent aphthous stomatitis group were higher than in the control group, and the differences were statistically significant (P < .05). There was no significant difference in interleukin‐17A between the two groups. Conclusion The levels of serum interleukin‐6 and tumor necrosis factor‐alpha in recurrent aphthous stomatitis patients were significantly increased. Considering that serum TNF‐α was mostly within the normal range, its role in the pathology of RAS needed to be further explored.

Background: Diabetes-associated periodontal disease is caused by diabetes-enhanced host immuneinflammatory responses to bacterial insult. An increasing number of papers related to diabetes-associated periodontal disease have been published. This study analyzed research on diabetes-associated periodontal disease with bibliometrics methods. The objective of this study was to identify hotspots and frontiers in the diabetes-associated periodontal disease research field.Methods: Publications were extracted from the Web of Science core collection database, and the document types included were limited to articles and reviews. The bibliometric analysis software CiteSpace5 was used to analyze the number of articles, research fields, countries/regions, institutions, authors, keywords, and other information. Outcomes were visualized to analyze the hotspots and research frontiers of diabetesassociated periodontal disease.Results: A total of 3,572 articles were retrieved. Among the research fields, dentistry, oral surgery, and medicine accounted for the highest proportion of publications, and public, environmental, and occupational health had the highest betweenness centrality. The number of publications from the United States ranked first among all the countries, while Columbia University ranked first among all the institutions. Global cooperation was not frequent. Keyword analysis showed that inflammatory pathways were the hotspots.Burst words analysis indicated that early prevention was a research frontier. Conclusions:The bibliometric method helped identify research hotspots and frontiers. Inflammatory pathways were hotspots, and early prevention was a frontier in diabetes-associated periodontal disease.

Root canal irrigation is an important step in root canal preparation procedures and has a great impact on the success rate of root canal treatment. Computational fluid dynamics (CFD) is a new method to study root canal irrigation. It can be used to simulate and visualize the process of root canal irrigation, and quantitatively evaluate the effect of root canal irrigation through parameters such as flow velocity and wall shear stress. In recent years, researchers have conducted extensive studies on the factors that influence root canal irrigation efficiency, such as the position of the irrigation needle, the size of root canal preparation, the types of irrigation needles, and so on. This article reviewed the development of root canal irrigation research methods, the steps of CFD simulation in root canal irrigation, and the application of CFD in root canal irrigation in recent years. It aimed to provide new research ideas for the application of CFD to root canal irrigation and to provide a reference for the clinical application of CFD simulation results.

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