IL-17和IL-10作为诊断牙周炎患者的潜在生物标志物:综述

Maha Abdulsalam Mohammed ,, Raghad Fadhil Abbas
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引用次数: 0

摘要

背景:牙周疾病的评估方法正在不断完善,以产生更精确、可靠和高效的结果。放射学报告和牙周组织的临床评估,作为早期趋势的基础,被用来确定影响牙齿支撑结构的疾病。随着时间的推移,传统方法逐渐变得更加明显,新的方法出现了,其中一些已经得到了经验验证。体液中生物标记物的检测和测量就是一个例子。目前牙周领域最紧迫的问题之一是寻找一种理想的牙周诊断/预后生物标志物,既能识别病变区域,又能跟踪牙周治疗的治疗成功。IL-17和IL-10都显示出与牙周炎的联系,可以鼓励将它们作为诊断工具。目的:综述上述生物标志物在牙周炎中的作用及相关性。患者与方法:以诊断、牙周炎、IL-17、IL-10、生物标志物、唾液、龈沟液(GCF)等关键词对Google scholar、Scopus、PubMed Central、research gate进行系统研究。 结果:在最初搜索的58条记录中,只有14条记录使用角色、关联和诊断作为结果。 结论:所选记录的证据表明,上述生物标志物可能能够区分牙周炎与健康,监测疾病进展和治疗后结果,但实际临床应用需要进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IL-17 and IL-10 as potential biomarkers for diagnosing periodontitis patients: A Review
Background:Evaluation methods for periodontal disorders are continually being refined to yield more precise, reliable, and time-efficient findings. Radiographic reports and clinical assessments of periodontal tissues, which served as the basis for earlier trends, were used to identify disorders affecting the tooth-supporting structures. As traditional approaches have become more apparent gradually over time, new methods emerged, some of which have been empirically validated. One example is the detection and measurement of biomarkers in bodily fluids. One of the most pressing issues in periodontal field nowadays is the search for an idealized periodontal diagnostic/prognostic biomarker that can both identify diseased areas and track the therapeutic success of periodontal treatment. Both IL-17 and IL-10 have shown connection to periodontitis that could encourage using them as diagnostic tools. Objective: To provide a review of the role and association of the above biomarkers to periodontitis. Patients and Methods: A systematic research of Google scholar, Scopus, PubMed Central, research gate was conducted using keywords such as diagnosis, periodontitis, IL-17, IL-10, biomarkers, Saliva and gingival crevicular fluid (GCF). Results: out of 58 records which resulted from the initial search only 14 were included which used roles, associations, and diagnosis as their outcomes. Conclusion: Evidence from the selected records suggests that the above stated biomarkers might be able to discriminate periodontitis from health, monitoring disease progression and post treatment outcome, but actual clinical application needs much further research.
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