OBJECTIVE To identify gingival crevicular fluid (GCF)-derived inflammatory markers of periodontitis progression and periodontal treatment impact. METHODS Periodontally healthy (H; n = 112) and periodontitis (P; n = 302) patients were monitored bi-monthly for 1 year without therapy. Periodontitis patients were re-examined 6 months after non-surgical periodontal therapy (NSPT). Levels of 64 biomarkers were measured in the GCF samples collected at each visit from progressing (n = 12 sites in H; n = 76 in P) and stable (n = 100 in H, n = 225 in P) sites. Clinical parameters and log-transformed analyte levels were averaged within clinical groups at each time point and analysed using linear mixed models. RESULTS During monitoring, progressing sites had significantly higher levels of IL-1β, MMP-8, IL-12p40, EGF and VEGF. MMP-9 and Periostin were significantly more elevated in stable sites. Distinct cytokine profiles were observed based on baseline PD. Treatment led to significant reductions in Eotaxin, Flt-3L, GDF-15, GM-CSF, IL-1β, IL-17, MIP-1d, RANTES and sCD40L, and increases in IP-10 and MMP-9. CONCLUSION Distinct cytokine signatures observed in stable and progressing sites were maintained over time in the absence of treatment and significantly affected by NSPT.

中文翻译：

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牙周炎进展期间和牙周治疗后的牙龈沟液生物标志物。


目的 确定牙龈沟液 （GCF） 衍生的牙周炎进展炎症标志物和牙周治疗影响。方法 牙周健康 （H; n = 112） 和牙周炎 （P; n = 302） 患者每两个月监测一次，持续 1 年，无需治疗。牙周炎患者在非手术牙周治疗 （NSPT） 后 6 个月复查。在每次就诊时从进展 （H 中 n = 12 个位点;P 中 n = 76） 和稳定 （H 中 n = 100，P 中 n = 225） 位点收集的 GCF 样本中测量 64 种生物标志物的水平。在每个时间点对临床组内的临床参数和对数转换的分析物水平进行平均，并使用线性混合模型进行分析。结果 在监测过程中，进展部位的 IL-1β 、 MMP-8 、 IL-12p40 、 EGF 和 VEGF 水平显著升高。MMP-9 和 Periostin 在稳定部位显著升高。根据基线 PD 观察到不同的细胞因子谱。治疗导致嗜酸性粒细胞趋化因子、 Flt-3L 、 GDF-15 、 GM-CSF、IL-1β 、 IL-17 、 MIP-1d 、 RANTES 和 sCD40L 显著降低，以及 IP-10 和 MMP-9 的增加。结论 在稳定和进展部位观察到的不同细胞因子特征在没有治疗的情况下随着时间的推移而保持，并且受到 NSPT 的显着影响。