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用于检测牙周炎新生物标志物的唾液蛋白质组学:一项系统综述

Salivary Proteomics for Detecting Novel Biomarkers of Periodontitis: A Systematic Review.

作者信息

Corana Matteo, Baima Giacomo, Iaderosa Giovanni, Franco Francesco, Zhang Jianjian, Berta Giovanni Nicolao, Romano Federica, Aimetti Mario

机构信息

Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.

Department of Clinical and Biological Sciences, University of Turin, Turin, Italy.

出版信息

J Periodontal Res. 2025 Jul;60(7):633-655. doi: 10.1111/jre.13357. Epub 2024 Dec 2.

Abstract

AIM

Salivary content is regarded as a powerful diagnostic window for oral and systemic diseases and the proteomic profile could be useful to distinguish between different periodontal conditions. The aim of the present systematic review was to assess distinctive salivary proteins identified through untargeted proteomics in periodontitis patients compared to periodontally healthy and gingivitis subjects, as well as to provide a qualitative methodological assessment of the current literature.

METHODS

Relevant studies identified from Medline via PubMed, Scopus, Embase, and Cochrane Library databases were retrieved to answer the following PECO question: "In systemically healthy individuals, are there any differences in salivary protein expression profiles assessed in proteomics studies between patients with periodontitis and periodontally healthy or gingivitis subjects?" Moreover, diagnostic utility of the identified markers was sought via a targeted literature search and further quantitative assessment. A modified version of the QUADAOMICS tool was used for the quality assessment of the included studies.

RESULTS

After screening 461 relevant articles, a total of 13 studies were selected. The number of identified discriminant salivary proteins ranged from 2 to 4161. However, it was possible to identify proteins that were consistently over- or under-expressed in periodontitis patients in at least 3 studies. Among these, complement C3, profilin-1, SA100A8, and fibrinogen were consistently reported as increased in periodontitis, while cystatin-SN and leukocyte elastase inhibitor were more elevated in periodontally healthy controls. Only 4 studies reported diagnostic accuracy measures, with SA100A8 showing an area under the curve of 0.71 (95% CI: 0.66-0.75) in meta-analysis.

CONCLUSIONS

Untargeted proteomics techniques identified some key biological molecules which were consistently reported to be over- or under-expressed in periodontitis. These findings could be useful to support novel candidate biomarkers for periodontitis. The high level of heterogeneity in methods and reporting urge to develop standardized protocols to be implemented in this research field (PROSPERO CRD42022299826).

摘要

目的

唾液成分被视为口腔和全身疾病的有力诊断窗口,蛋白质组学特征可能有助于区分不同的牙周状况。本系统评价的目的是评估通过非靶向蛋白质组学在牙周炎患者中与牙周健康和牙龈炎受试者相比所鉴定出的独特唾液蛋白质,并对当前文献进行定性方法学评估。

方法

通过PubMed、Scopus、Embase和Cochrane图书馆数据库从Medline中检索相关研究,以回答以下PECO问题:“在全身健康的个体中,蛋白质组学研究评估的牙周炎患者与牙周健康或牙龈炎受试者的唾液蛋白质表达谱是否存在差异?”此外,通过针对性文献检索和进一步的定量评估来寻找所鉴定标志物的诊断效用。使用QUADAOMICS工具的修改版对纳入研究进行质量评估。

结果

在筛选了461篇相关文章后,共选择了13项研究。鉴定出的判别唾液蛋白数量在2至4161之间。然而,至少在3项研究中可以鉴定出在牙周炎患者中持续过度表达或表达不足的蛋白质。其中,补体C3、肌动蛋白结合蛋白-1、钙结合蛋白A8和纤维蛋白原在牙周炎中持续被报道增加,而半胱氨酸蛋白酶抑制剂SN和白细胞弹性蛋白酶抑制剂在牙周健康对照中升高更为明显。只有4项研究报告了诊断准确性指标,在荟萃分析中,钙结合蛋白A8的曲线下面积为0.71(95%CI:0.66-0.75)。

结论

非靶向蛋白质组学技术鉴定出了一些关键生物分子,这些分子在牙周炎中持续被报道为过度表达或表达不足。这些发现可能有助于支持牙周炎的新型候选生物标志物。方法和报告中的高度异质性促使在该研究领域制定标准化方案(PROSPERO CRD42022299826)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/12371805/1d91bb730ca7/JRE-60-633-g001.jpg

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