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使用 IL-1β、IL-6、TNF-α 和 MMP-8 生物标志物来区分种植体周围疾病:系统评价和荟萃分析。

Use of IL-1 β, IL-6, TNF-α, and MMP-8 biomarkers to distinguish peri-implant diseases: A systematic review and meta-analysis.

机构信息

Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.

State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Disease, Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, People's Republic of China.

出版信息

Clin Implant Dent Relat Res. 2019 Feb;21(1):190-207. doi: 10.1111/cid.12694. Epub 2018 Dec 3.

Abstract

OBJECTIVE

To investigate the use of peri-implant crevicular fluid (PICF) interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), and matrix metalloproteinase-8 (MMP-8) biomarkers in distinguishing between healthy implants (H), peri-implant mucositis (MU), and peri-implantitis (PI).

MATERIAL AND METHODS

Electronic using three databases (Pubmed, EMBASE, and Cochrane) and manual searches were conducted for articles published up to March 2018 by two independent calibrated reviewers. Meta-analyses using a random-effects model were conducted for each of the cytokines; IL-1β, IL-6, and TNF-α, to analyze standardized mean difference (SMD) between H and MU, MU and PI, H and PI with their associated 95% confidence intervals (CI). Qualitative assessment of MMP-8 was provided consequent to the lack of studies that provide valid data for a meta-analysis.

RESULTS

Nineteen articles were included in this review. IL-1β, IL-6, and TNF-α, levels were significantly higher in MU than H groups (SMD: 1.94; 95% CI: 0.87, 3.35; P < .001, SMD: 1.17; 95% CI: 0.16, 3.19; P = .031 and SMD: 3.91; 95% CI: 1.13, 6.70; P = .006, respectively). Similar results were obtained with PI compared to H sites (SMD: 2.21, 95% CI: 1.32, 3.11; P < .001, SMD: 1.72; 95% CI: 0.56, 2.87; P = .004 and SMD: 3.78; 95% CI: 1.67, 5.89; P < .001, respectively). IL-6 was statistically higher in PI than MU sites (SMD = 1.46; 95% CI: 0.36, 2.55; P = .009); while IL-1ß increase was not significant. Despite absence of meta-analysis, MMP-8 show to be a promising biomarker in detection of PI in literature.

CONCLUSION

Within the limitations of this study, pro-inflammatory cytokines in PICF, such as IL-1ß and IL-6, can be used as adjunct tools to clinical parameters to differentiate H from MU and PI.

摘要

目的

研究种植体周围液(PICF)中白细胞介素-1β(IL-1β)、IL-6、肿瘤坏死因子-α(TNF-α)和基质金属蛋白酶-8(MMP-8)生物标志物在区分健康种植体(H)、种植体周围黏膜炎(MU)和种植体周围炎(PI)中的作用。

材料和方法

通过两位独立校准的审查员对截至 2018 年 3 月发表的文章进行了电子搜索(使用 Pubmed、EMBASE 和 Cochrane 三个数据库)和手动搜索。使用随机效应模型对每个细胞因子(IL-1β、IL-6 和 TNF-α)进行了荟萃分析,以分析 H 与 MU、MU 与 PI、H 与 PI 之间的标准化均数差(SMD)及其相关的 95%置信区间(CI)。由于缺乏提供有效数据进行荟萃分析的研究,因此对 MMP-8 进行了定性评估。

结果

本综述共纳入 19 篇文章。MU 组的 IL-1β、IL-6 和 TNF-α 水平明显高于 H 组(SMD:1.94;95%CI:0.87,3.35;P<0.001,SMD:1.17;95%CI:0.16,3.19;P=0.031 和 SMD:3.91;95%CI:1.13,6.70;P=0.006)。与 H 部位相比,PI 与 H 部位相比也有类似的结果(SMD:2.21,95%CI:1.32,3.11;P<0.001,SMD:1.72;95%CI:0.56,2.87;P=0.004 和 SMD:3.78;95%CI:1.67,5.89;P<0.001)。PI 部位的 IL-6 明显高于 MU 部位(SMD=1.46;95%CI:0.36,2.55;P=0.009);而 IL-1β 的增加则不显著。尽管没有进行荟萃分析,但 MMP-8 在文献中被证明是一种有前途的 PI 检测生物标志物。

结论

在本研究的限制范围内,PICF 中的促炎细胞因子(如 IL-1β 和 IL-6)可用作临床参数的辅助工具,以区分 H 与 MU 和 PI。

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