Validating proteomic biomarkers in saliva: distinguishing between health and periodontal diseases.

IF 3.8 3区生物学 Q1 BIOCHEMICAL RESEARCH METHODS Expert Review of Proteomics Pub Date : 2024-11-12 DOI:10.1080/14789450.2024.2413099

Büşra Yılmaz, Gülnur Emingil

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Abstract

Introduction: Periodontitis is a chronic inflammatory disease characterized by progressive soft tissue and alveolar bone loss due to interactions between microbial dental plaque and the host response. Despite extensive research on biomarkers from saliva or gingival crevicular fluid (GCF) for diagnosing periodontitis, clinical and radiological parameters remain the primary diagnostic tools.

Areas covered: This review discusses the ongoing research into salivary biomarkers for periodontitis diagnosis, emphasizing the need for reliable biomarkers to differentiate between periodontal health and disease. Salivary biomarker research has gained momentum with advancements in proteomic technologies, enabling noninvasive sample collection and revealing potential candidate biomarkers.

Expert opinion: Proteomic research since the early 2000s has identified promising biomarkers and provided insights into the pathogenesis of periodontitis. Bioinformatic analysis of proteomic data elucidates the underlying biological mechanisms. This review summarizes key findings and highlights common potential biomarkers identified through proteomic research in periodontology.

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验证唾液中的蛋白质组生物标记物：区分健康与牙周疾病。

导言：牙周炎是一种慢性炎症性疾病，由于微生物牙菌斑和宿主反应之间的相互作用，导致软组织和牙槽骨逐渐丧失。尽管对唾液或龈沟液（GCF）中用于诊断牙周炎的生物标志物进行了广泛研究，但临床和放射学参数仍是主要的诊断工具：本综述讨论了目前用于牙周炎诊断的唾液生物标志物研究，强调了需要可靠的生物标志物来区分牙周健康和牙周疾病。随着蛋白质组学技术的进步，唾液生物标志物的研究势头强劲，实现了无创样本采集并揭示了潜在的候选生物标志物：自本世纪初以来，蛋白质组学研究已经发现了一些有前景的生物标志物，并为牙周炎的发病机制提供了深入的见解。蛋白质组数据的生物信息学分析阐明了潜在的生物学机制。本综述总结了主要发现，并重点介绍了通过牙周病学蛋白质组研究发现的常见潜在生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Proteomics 生物-生化研究方法

CiteScore

7.60

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.