Faulkner Erin, Mensah Adelaide, Rodgers Aoife M, McMullan Lyndsey R, Courtenay Aaron J
School of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine BT52 1SA, UK.
Department of Biology, The Kathleen Lonsdale Institute for Human Health Research, Maynooth University, W23VP22 Maynooth, Kildare, Ireland.
Diagnostics (Basel). 2022 Apr 7;12(4):919. doi: 10.3390/diagnostics12040919.
The aim of this systemic review was to collate and analyze existing data from published literature sources to identify the current understanding of the role of epigenetic and biological biomarkers in periodontal disease and diagnostics. A comprehensive searching strategy was undertaken in Embase, Medline, The Dentistry and Oral Sciences and CINAHL databases. Grey literature searching strategies were also employed. Articles published in the English language between 2017−2020 were included. A total of 1014 studies were returned of which 15 studies were included. All included articles were cross-sectional, case−control studies. Relevant data were extracted according to various demographic and methodological factors including cohort size, oral biofluid sampled, number of examiners, smoking status and reported outcomes. A measure of the biomarker levels and corresponding significance were documented where possible. This review identified that exRNA has the greatest diagnostic potential, with four biomarkers (SPRR1A, lnc-TET3-2:1, FAM25A, CRCT1) displaying sensitivity of >71% and specificity of 100% in the assessed samples (p < 0.001) for gingivitis. This work also identifies the need for a unified approach to future research to draw meaningful comparison. Further investigations are warranted to definitively validate exRNA data and for the development of an exRNA-specific point-of-care diagnostic test.
本系统评价的目的是整理和分析已发表文献来源中的现有数据,以确定目前对表观遗传和生物标志物在牙周疾病及诊断中作用的理解。我们在Embase、Medline、牙科学与口腔科学数据库以及护理学与健康领域数据库(CINAHL)中采取了全面的检索策略。还采用了灰色文献检索策略。纳入2017年至2020年期间发表的英文文章。共检索到1014项研究,其中15项研究被纳入。所有纳入的文章均为横断面病例对照研究。根据各种人口统计学和方法学因素提取相关数据,包括队列规模、采集的口腔生物流体、检查人员数量、吸烟状况和报告的结果。尽可能记录生物标志物水平的测量值及其相应的意义。本评价发现,外泌体RNA(exRNA)具有最大的诊断潜力,四种生物标志物(丝聚蛋白原1A(SPRR1A)、长链非编码RNA-TET3-2:1、家族性癌相关基因25A(FAM25A)、富含半胱氨酸的跨膜蛋白1(CRCT1))在评估的牙龈炎样本中显示出>71%的敏感性和100%的特异性(p<0.001)。这项工作还指出未来研究需要采用统一的方法进行有意义的比较。有必要进行进一步调查以明确验证外泌体RNA数据,并开发一种外泌体RNA特异性即时诊断检测方法。