Rakic Mia, Pejcic Natasa, Perunovic Neda, Vojvodic Danilo
ETEP (Etiology and Therapy of Periodontal Diseases) Research Group, Faculty of Dentistry, University Complutense of Madrid, Pza. Ramón y Cajal s/n, 28040 Madrid, Spain.
Department of Preventive and Pediatric Dentistry, Faculty of Dental Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Medicina (Kaunas). 2021 Mar 3;57(3):233. doi: 10.3390/medicina57030233.
Periodontitis is among the most common health conditions and represents a major public health issue related to increasing prevalence and seriously negative socioeconomic impacts. Periodontitis-associated low-grade systemic inflammation and its pathological interplay with systemic conditions additionally raises awareness on the necessity for highly performant strategies for the prevention and management of periodontitis. Periodontal diagnosis is the backbone of a successful periodontal strategy, since prevention and treatment plans depend on the accuracy and precision of the respective diagnostics. Periodontal diagnostics is still founded on clinical and radiological parameters that provide limited therapeutic guidance due to the multifactorial complexity of periodontal pathology, which is why biomarkers have been introduced for the first time in the new classification of periodontal and peri-implant conditions as a first step towards precision periodontics. Since the driving forces of precision medicine are represented by biomarkers and machine learning algorithms, with the lack of periodontal markers validated for diagnostic use, the implementation of a precision medicine approach in periodontology remains in the very initial stage. This narrative review elaborates the unmet diagnostic needs in periodontal diagnostics, the concept of precision periodontics, periodontal biomarkers, and a roadmap toward the implementation of a precision medicine approach in periodontal practice.
牙周炎是最常见的健康问题之一,是一个与患病率上升及严重负面社会经济影响相关的重大公共卫生问题。与牙周炎相关的低度全身炎症及其与全身状况的病理相互作用,进一步提高了人们对采用高效策略预防和管理牙周炎必要性的认识。牙周诊断是成功的牙周治疗策略的基础,因为预防和治疗计划取决于各自诊断的准确性和精确性。由于牙周病理的多因素复杂性,牙周诊断仍基于临床和放射学参数,这些参数提供的治疗指导有限,这就是为什么生物标志物在牙周和种植体周围疾病的新分类中首次被引入,作为迈向精准牙周病学的第一步。由于精准医学的驱动力是生物标志物和机器学习算法,且缺乏经证实可用于诊断的牙周标志物,牙周病学中精准医学方法的实施仍处于非常初期的阶段。这篇叙述性综述阐述了牙周诊断中未满足的诊断需求、精准牙周病学的概念、牙周生物标志物以及在牙周实践中实施精准医学方法的路线图。