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牙周炎进展期及牙周治疗后龈沟液生物标志物

Gingival Crevicular Fluid Biomarkers During Periodontitis Progression and After Periodontal Treatment.

作者信息

Teles Flavia, Martin Lynn, Patel Michele, Hu Weiming, Bittinger Kyle, Kallan Michael J, Chandrasekaran Ganesh, Cucchiara Andrew J, Giannobile William V, Stephens Danielle, Kantarci Alpdogan

机构信息

Department of Basic and Translational Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Center for Innovation and Precision Dentistry (CiPD), University of Pennsylvania, Philadelphia, Pennsylvania, USA.

出版信息

J Clin Periodontol. 2025 Jan;52(1):40-55. doi: 10.1111/jcpe.14061. Epub 2024 Sep 15.

DOI:10.1111/jcpe.14061
PMID:39278722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11671168/
Abstract

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.

摘要

目的

确定龈沟液(GCF)来源的牙周炎进展和牙周治疗影响的炎症标志物。

方法

对牙周健康(H;n = 112)和牙周炎(P;n = 302)患者进行为期1年的每两个月一次的监测,期间不进行治疗。牙周炎患者在非手术牙周治疗(NSPT)6个月后重新检查。在每次就诊时,从进展期(H组12个部位;P组76个部位)和稳定期(H组100个部位,P组225个部位)采集的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后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

在监测期间,进展期部位的IL-1β、MMP-8、IL-12p40、EGF和VEGF水平显著更高。稳定期部位的MMP-9和骨膜蛋白显著升高。根据基线牙周袋深度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,IP-10和MMP-9升高。

结论

在未治疗的情况下,稳定期和进展期部位观察到的不同细胞因子特征随时间保持不变,并受到NSPT的显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/6b464f4d67cc/JCPE-52-40-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/06b465061260/JCPE-52-40-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/7f2e24610c01/JCPE-52-40-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/32c08f80b187/JCPE-52-40-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/b57b81eeb708/JCPE-52-40-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/6b464f4d67cc/JCPE-52-40-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/06b465061260/JCPE-52-40-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/7f2e24610c01/JCPE-52-40-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/32c08f80b187/JCPE-52-40-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/d6c02c257e8b/JCPE-52-40-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/b57b81eeb708/JCPE-52-40-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148e/11671168/6b464f4d67cc/JCPE-52-40-g001.jpg

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