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认识到唾液在监测口腔疾病方面的临床应用。

Realizing the clinical utility of saliva for monitoring oral diseases.

机构信息

Department of Biomedical Sciences, School of Dental Medicine, University of Nevada Las Vegas, Las Vegas, Nevada, USA.

Immunology and Inflammation, Center for Clinical and Translational Research, The ADA Forsyth Institute, Cambridge, Massachusetts, USA.

出版信息

Periodontol 2000. 2024 Jun;95(1):203-219. doi: 10.1111/prd.12581. Epub 2024 Jul 15.

Abstract

In the era of personalized/precision health care, additional effort is being expended to understand the biology and molecular mechanisms of disease processes. How these mechanisms are affected by individual genetics, environmental exposures, and behavioral choices will encompass an expanding role in the future of optimally preventing and treating diseases. Considering saliva as an important biological fluid for analysis to inform oral disease detection/description continues to expand. This review provides an overview of saliva as a diagnostic fluid and the features of various biomarkers that have been reported. We emphasize the use of salivary biomarkers in periodontitis and transport the reader through extant literature, gaps in knowledge, and a structured approach toward validating and determine the utility of biomarkers in periodontitis. A summation of the findings support the likelihood that a panel of biomarkers including both host molecules and specific microorganisms will be required to most effectively identify risk for early transition to disease, ongoing disease activity, progression, and likelihood of response to standard periodontal therapy. The goals would be to develop predictive algorithms that serve as adjunctive diagnostic tools which provide the clinician and patient important information for making informed clinical decisions.

摘要

在个性化/精准医疗保健时代,人们正在付出额外的努力来理解疾病过程的生物学和分子机制。这些机制如何受到个体遗传、环境暴露和行为选择的影响,将在未来优化疾病预防和治疗中发挥更大的作用。考虑到唾液是一种用于分析以告知口腔疾病检测/描述的重要生物流体,其应用范围不断扩大。本文综述了唾液作为诊断液的特性以及已报道的各种生物标志物的特征。我们强调了唾液生物标志物在牙周炎中的应用,并引导读者了解现有文献、知识空白以及验证和确定牙周炎生物标志物效用的结构化方法。研究结果表明,可能需要一组生物标志物,包括宿主分子和特定微生物,以最有效地识别早期疾病进展、疾病活动持续存在、进展和对标准牙周治疗反应的风险。目标是开发预测算法,作为辅助诊断工具,为临床医生和患者提供重要信息,以便做出明智的临床决策。

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