Reckelkamm Stefan Lars, Baumeister Sebastian-Edgar, Hagenfeld Daniel, Alayash Zoheir, Nolde Michael
Institute of Health Services Research in Dentistry, University of Münster, Münster, Germany.
Policlinic for Periodontology and Operative Dentistry, University of Münster, Münster, Germany.
Proteomics. 2025 Jan;25(1-2):e202400055. doi: 10.1002/pmic.202400055. Epub 2024 Dec 30.
Periodontitis, characterized by inflammatory loss of tooth-supporting tissues associated with biofilm, is among the most prevalent chronic diseases globally, affecting approximately 50% of the adult population to a moderate extent and cases of severe periodontitis surpassing the one billion mark. Proteomics analyses of blood, serum, and oral fluids have provided valuable insights into the complex processes occurring in the inflamed periodontium. However, until now, proteome analyses have been primarily limited to small groups of diseased versus healthy individuals. The emergence of population-scale analysis of proteomic data offers opportunities to uncover disease-associated pathways, identify potential drug targets, and discover biomarkers. In this review, we will explore the applications of proteomics in population-based studies and discuss the advancements it brings to our understanding of periodontal inflammation. Additionally, we highlight the challenges posed by currently available data and offer perspectives for future applications in periodontal research. This review aims to explain the ongoing efforts in leveraging proteomics for elucidating the complexities of periodontal diseases and paving the way for clinical strategies.
牙周炎的特征是与生物膜相关的牙齿支持组织的炎症性丧失,它是全球最普遍的慢性疾病之一,约50%的成年人口受到中度影响,严重牙周炎病例超过10亿例。对血液、血清和口腔液体进行的蛋白质组学分析为炎症性牙周组织中发生的复杂过程提供了有价值的见解。然而,到目前为止,蛋白质组分析主要局限于一小部分患病个体与健康个体的比较。蛋白质组学数据的大规模人群分析的出现为揭示疾病相关途径、确定潜在药物靶点和发现生物标志物提供了机会。在这篇综述中,我们将探讨蛋白质组学在基于人群的研究中的应用,并讨论其在我们对牙周炎症理解方面带来的进展。此外,我们强调了现有数据带来的挑战,并为牙周研究的未来应用提供了展望。这篇综述旨在解释利用蛋白质组学阐明牙周疾病复杂性并为临床策略铺平道路的持续努力。