Department of Periodontology, Ege University School of Dentistry, İzmir, Turkey.
Expert Rev Proteomics. 2024 Nov;21(11):417-429. doi: 10.1080/14789450.2024.2413099. Epub 2024 Nov 12.
Periodontitis is a chronic inflammatory disease characterized by progressive soft tissue and alveolar bone loss due to interactions between microbial dental plaque and the host response. Despite extensive research on biomarkers from saliva or gingival crevicular fluid (GCF) for diagnosing periodontitis, clinical and radiological parameters remain the primary diagnostic tools.
This review discusses the ongoing research into salivary biomarkers for periodontitis diagnosis, emphasizing the need for reliable biomarkers to differentiate between periodontal health and disease. Salivary biomarker research has gained momentum with advancements in proteomic technologies, enabling noninvasive sample collection and revealing potential candidate biomarkers.
Proteomic research since the early 2000s has identified promising biomarkers and provided insights into the pathogenesis of periodontitis. Bioinformatic analysis of proteomic data elucidates the underlying biological mechanisms. This review summarizes key findings and highlights common potential biomarkers identified through proteomic research in periodontology.
牙周炎是一种慢性炎症性疾病，其特点是由于微生物牙菌斑和宿主反应之间的相互作用，导致软组织和牙槽骨进行性丧失。尽管对唾液或龈沟液（GCF）中的生物标志物进行了广泛的研究以诊断牙周炎，但临床和影像学参数仍然是主要的诊断工具。
本文综述了目前关于唾液生物标志物用于牙周炎诊断的研究，强调需要可靠的生物标志物来区分牙周健康和疾病。随着蛋白质组学技术的进步，唾液生物标志物研究取得了进展，实现了非侵入性样本采集并揭示了潜在的候选生物标志物。
自 21 世纪初以来的蛋白质组学研究已经确定了有前途的生物标志物，并深入了解了牙周炎的发病机制。蛋白质组学数据的生物信息学分析阐明了潜在的生物学机制。本文综述总结了主要发现，并强调了通过蛋白质组学研究在牙周病学中确定的常见潜在生物标志物。
