Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Fondazione Policlinico Universitario A. Gemelli IRCCS, Istituto di Clinica Odontoiatrica e Chirurgia Maxillo-Facciale, Roma-Università Cattolica del Sacro Cuore, Rome, Italy.
Orthod Craniofac Res. 2019 Nov;22(4):236-247. doi: 10.1111/ocr.12329. Epub 2019 Jul 2.
To evaluate whether changes in the concentration of different biomarkers in the gingival crevicular fluid (GCF) can be used to detect the root resorption process in adult or adolescent patients undergoing treatment with a fixed appliance, in comparison with untreated subjects or treated patients not showing signs of root resorption.
The following databases were analysed in the period between June 2017 and March 2018, without any language and initial date restrictions: PubMed, EMBASE, Scopus, Web of Science and Cochrane Library. A quality assessment instrument (QAI) was developed to establish the risk of bias.
A total of 1127 articles were analysed. Based on the inclusion and exclusion criteria, seven studies qualified for the final review. The QAI tool revealed that five articles were at a moderate risk of bias and two articles were at a low risk of bias.
Dentine phosphoprotein (DPP) may be considered a relatively useful marker for root resorption. Dentinal sialoprotein (DSP) could be a potential biomarker but is not highly helpful at detecting root shortening. Inflammatory cytokines (pro- and anti-resorption), osteopontin (OPN), osteoprotegerin (OPG), RANKL and alkaline phosphatase (ALP) are useful biomarkers to explain the biological mechanisms that occur during orthodontic movement but are not specific enough. Further studies are required to clarify the role of GM-CSF as a potential biomarker to distinguish subjects at a risk of severe root resorption in the early phase.
评估在接受固定矫治器治疗的成人或青少年患者中，不同龈沟液（GCF）生物标志物浓度的变化是否可用于检测根吸收过程，与未接受治疗的患者或未出现根吸收迹象的治疗患者相比。
在 2017 年 6 月至 2018 年 3 月期间，对以下数据库进行了分析，无语言和初始日期限制：PubMed、EMBASE、Scopus、Web of Science 和 Cochrane Library。开发了一个质量评估工具（QAI）来确定偏倚风险。
共分析了 1127 篇文章。根据纳入和排除标准，有 7 项研究符合最终综述的要求。QAI 工具显示，有 5 篇文章存在中度偏倚风险，有 2 篇文章存在低度偏倚风险。
牙本质磷蛋白（DPP）可能被认为是根吸收的一个相对有用的标志物。牙本质涎磷蛋白（DSP）可能是一种潜在的生物标志物，但在检测根缩短方面帮助不大。炎性细胞因子（促吸收和抗吸收）、骨桥蛋白（OPN）、护骨素（OPG）、RANKL 和碱性磷酸酶（ALP）是用于解释正畸移动过程中发生的生物学机制的有用生物标志物，但特异性不够。需要进一步的研究来阐明 GM-CSF 作为一种潜在的生物标志物在早期区分严重根吸收风险的患者的作用。
