AimsTo determine the relationship between microbiome dysbiosis indices and biofilm immunogenicity and their prognostic implications on periodontal treatment response.Materials and MethodsThirty periodontally healthy controls and 30 periodontitis cases (stage III) were recruited. Cases received non‐surgical periodontal therapy (NSPT), and their treatment response at 6 months was evaluated using a treat‐to‐target endpoint (≤ 4 sites with probing depths ≥ 5 mm). Pooled subgingival biofilm samples were obtained from controls and cases. The V3–4 hypervariable region of the 16S rRNA gene was sequenced and two compositional indices (subgingival microbiome dysbiosis index, SMDI, and dysbiosis ratio, DR) were calculated. Nuclear factor kappa‐B (NF‐κB) activation elicited by biofilm samples in monocytic reporter cells was quantified to assess biofilm immunogenicity.ResultsSMDI, DR and biofilm immunogenicity were highly diagnostic for periodontitis (area under curves [AUC] > 0.90, p < 0.001). Among periodontitis cases, all three microbial parameters were significantly reduced after NSPT (p < 0.001). Cases achieving the treat‐to‐target endpoint had lower pre‐treatment SMDI and biofilm immunogenicity (p < 0.05) and different microbial recolonization patterns from poor responders. Both measures predicted treatment response (AUC of 0.767 and 0.835, respectively, p < 0.05).ConclusionSubgingival biofilm dysbiosis quantified using SMDI and biofilm immunogenicity was diagnostic of periodontitis and predictive of NSPT outcomes.

中文翻译：

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微生物组菌群失调的预后影响：一项前瞻性研究


目的确定微生物组菌群失调指数与生物膜免疫原性之间的关系及其对牙周治疗反应的预后影响。材料和方法招募了 30 例牙周健康对照和 30 例牙周炎病例 （III 期）。病例接受非手术牙周治疗 （NSPT），使用治疗到目标终点 （≤ 4 个探查≥深度为 5 mm 的部位）评估其 6 个月时的治疗反应。从对照和病例中获得合并的龈下生物膜样本。对 16S rRNA 基因的 V3-4 高变区进行测序，并计算两个组成指数 （龈下微生物组菌群失调指数，SMDI 和菌群失调比率，DR）。量化单核细胞报告细胞中生物膜样本引发的核因子 kappa-B （NF-κB） 激活以评估生物膜免疫原性。结果SMDI 、 DR 和生物膜免疫原性对牙周炎具有高度诊断意义 （曲线下面积 [AUC] > 0.90，p < 0.001）。在牙周炎病例中，NSPT 后所有 3 个微生物参数均显著降低 （p < 0.001）。达到治疗到目标终点的病例治疗前 SMDI 和生物膜免疫原性较低 （p < 0.05） 并且反应不佳的微生物再定植模式不同。两种测量都预测了治疗反应 （AUC 分别为 0.767 和 0.835，p < 0.05）。结论使用 SMDI 和生物膜免疫原性量化龈下生物膜菌群失调可诊断牙周炎并预测 NSPT 结果。