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蛋白质组学揭示龈沟液(GCF)作为重度牙周炎生物标志物来源的潜力。

Proteomics Disclose the Potential of Gingival Crevicular Fluid (GCF) as a Source of Biomarkers for Severe Periodontitis.

作者信息

Bellei Elisa, Bertoldi Carlo, Monari Emanuela, Bergamini Stefania

机构信息

Proteomic Lab, Department of Surgery, Medicine, Dentistry and Morphological Sciences with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University-Hospital of Modena and Reggio Emilia, Via del Pozzo 71, 41124 Modena, Italy.

Unit of Dentistry and Oral-Maxillofacial Surgery, Periodontology Section, Department of Surgery, Medicine, Dentistry and Morphological Sciences with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University-Hospital of Modena and Reggio Emilia, Via del Pozzo 71, 41124 Modena, Italy.

出版信息

Materials (Basel). 2022 Mar 15;15(6):2161. doi: 10.3390/ma15062161.

Abstract

Periodontal disease is a widespread disorder comprising gingivitis, a mild early gum inflammation, and periodontitis, a more severe multifactorial inflammatory disease that, if left untreated, can lead to the gradual destruction of the tooth-supporting apparatus. To date, effective etiopathogenetic models fully explaining the clinical features of periodontal disease are not available. Obviously, a better understanding of periodontal disease could facilitate its diagnosis and improve its treatment. The purpose of this study was to employ a proteomic approach to analyze the gingival crevicular fluid (GCF) of patients with severe periodontitis, in search of potential biomarkers. GCF samples, collected from both periodontally healthy sites (H-GCF) and the periodontal pocket (D-GCF), were subjected to a comparison analysis using sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE). A total of 26 significantly different proteins, 14 up-regulated and 12 down-regulated in D-GCF vs. H-GCF, were identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The main expressed proteins were inflammatory molecules, immune responders, and host enzymes. Most of these proteins were functionally connected using the STRING analysis database. Once validated in a large scale-study, these proteins could represent a cluster of promising biomarkers capable of making a valuable contribution for a better assessment of periodontitis.

摘要

牙周病是一种广泛存在的疾病,包括牙龈炎(一种轻度的早期牙龈炎症)和牙周炎(一种更严重的多因素炎症性疾病,如果不治疗,会导致牙齿支持组织逐渐破坏)。迄今为止,尚无能够充分解释牙周病临床特征的有效病因发病模型。显然,更好地了解牙周病有助于其诊断并改善治疗。本研究的目的是采用蛋白质组学方法分析重度牙周炎患者的龈沟液(GCF),以寻找潜在的生物标志物。从牙周健康部位(H-GCF)和牙周袋(D-GCF)收集的GCF样本,使用十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)进行比较分析。通过液相色谱-串联质谱(LC-MS/MS)鉴定出总共26种在D-GCF与H-GCF中有显著差异的蛋白质,其中14种上调,12种下调。主要表达的蛋白质是炎症分子、免疫应答分子和宿主酶。使用STRING分析数据库对这些蛋白质中的大多数进行了功能关联分析。一旦在大规模研究中得到验证,这些蛋白质可能代表一组有前景的生物标志物,能够为更好地评估牙周炎做出有价值的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/368f/8950923/a87e0e26a0e2/materials-15-02161-g001.jpg

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