IRMB, Univ Montpellier, INSERM, CHU Montpellier, CNRS, Montpellier, France.
Pierre Fabre Oral Care, sis Peraudel, Castres, France.
Crit Rev Clin Lab Sci. 2021 Nov;58(7):479-492. doi: 10.1080/10408363.2021.1907298. Epub 2021 Apr 13.
Periodontitis is a complex immune-inflammatory condition characterized by the disruption of the periodontal ligament and subsequent formation of periodontal pockets, and by alveolar bone loss, often resulting in tooth loss. A myriad of factors, namely, genetic, metabolic, immunological, and inflammatory, is associated with progression of periodontitis. Periodontitis is also associated with systemic conditions such as neoplastic disorders, obesity, and diabetes. The current diagnosis of this disease relies on clinical measurements such as clinical attachment loss and probing depth, which have poor precision due to patient, operator and probe-related factors. Thus, there is a need to develop reliable, objective, and reproducible biomarkers for early diagnosis of periodontitis. In this regard, saliva, with contributions from the gingival crevicular fluid, holds great potential. However, most of the information on biomarkers of periodontium-related salivary proteins has come from studies on the molecular pathogenesis of periodontitis. In periodontitis, a more holistic approach, such as the use of -omics technologies, for biomarker discovery, is needed. Herein, we review the biomarkers proposed to date for the assessment of periodontitis, with emphasis on the role of salivary peptides in periodontitis and their assessment by high-throughput saliva proteomics. We also discuss the challenges pertaining to the identification of new periodontitis biomarkers in saliva.
牙周炎是一种复杂的免疫炎症性疾病,其特征是牙周韧带的破坏和随后的牙周袋形成,以及牙槽骨的丧失,通常导致牙齿脱落。许多因素,如遗传、代谢、免疫和炎症,与牙周炎的进展有关。牙周炎还与肿瘤性疾病、肥胖和糖尿病等系统性疾病有关。目前对这种疾病的诊断依赖于临床测量,如临床附着丧失和探诊深度,由于患者、操作者和探头等因素,这些测量的精度较差。因此,需要开发可靠、客观和可重复的生物标志物,以早期诊断牙周炎。在这方面,来源于龈沟液的唾液具有很大的潜力。然而,牙周相关唾液蛋白的生物标志物信息大多来自于牙周炎分子发病机制的研究。在牙周炎中,需要采用更全面的方法,如使用组学技术来进行生物标志物的发现。本文综述了迄今为止用于评估牙周炎的生物标志物,重点介绍了唾液肽在牙周炎中的作用及其通过高通量唾液蛋白质组学进行评估。我们还讨论了在唾液中识别新的牙周炎生物标志物所面临的挑战。