Cytokine levels in gingival tissues as an indicator to understand periodontal disease severity

Q4 Immunology and Microbiology Current research in immunology Pub Date : 2024-01-01 DOI:10.1016/j.crimmu.2024.100080
Pratebha Balu , Agiesh Kumar Balakrishna Pillai , Vignesh Mariappan , Sudhakar Ramalingam
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Abstract

Cytokines regulate periodontal pathogenesis and are relevant estimates of current disease activity. There is sparse information on status of cytokine protein levels in periodontal pocket (gingival) tissues. The current study analysed proteins and transcripts of selected cytokines in varying severity of periodontal disease and elucidated cytokine/cytokine ratios that best indicated periodontal disease severity, in gingival tissues. A total of 92 participants comprising of generalised moderate periodontitis (GMP, n = 18), generalised severe periodontitis (GSP, n = 46) and periodontally healthy controls (PHC, n = 25) were recruited for the study. Interproximal gingival tissue samples were utilised for cytokine protein estimation and mRNA quantification by qRT-PCR and ELISA respectively. Selected key pro and anti-inflammatory cytokines, also representative of various Th subsets were analysed. ROC curve analysis was performed and Youden index was calculated for individual cytokines and pro/anti-inflammatory cytokine ratio to estimate the best indicator of periodontal severity/progression in tissues. IL-1β, TGF-β and IFN-γ cytokine protein levels varied significantly (p ≤ 0.05) with severity of periodontal disease between groups. On comparison between deep and shallow sites within same participant, deep sites showed significant elevation of TGF-β (p ≤ 0.01) and IFN-γ (p ≤ 0.05) and IL-17 cytokines and shallow sites showed elevation of IL-4(p ≤ 0.01) and IL-1β (p ≤ 0.05) cytokines. Analysis of transcripts showed IFN-γ and IL-1β transcript predominance in GSP (p = 0.01) compared to PHC. ROC analysis illustrated 97% sensitivity, 93% specificity with Youden index of 90% for IL-1β cytokine and 81%sensitivity, 79% specificity with a Youden index of 60% for IL-1β/TGF-β ratio In periodontal pocket tissue, a lack of distinct predominance of specific cytokines between study groups or between shallow and deep sites affected by periodontal disease was observed. However, ROC analysis of cytokines revealed IL-1β cytokine and IL-1β/TGF-β ratio as promising indicators of periodontal disease severity in gingival tissues.

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将牙龈组织中的细胞因子水平作为了解牙周病严重程度的指标
细胞因子调节牙周发病机制,是当前疾病活动的相关估计指标。有关牙周袋(牙龈)组织中细胞因子蛋白水平状况的信息很少。本研究分析了不同牙周病严重程度的选定细胞因子的蛋白质和转录本,并阐明了牙龈组织中最能体现牙周病严重程度的细胞因子/细胞因子比率。该研究共招募了 92 名参与者,包括全身中度牙周炎(GMP,18 人)、全身重度牙周炎(GSP,46 人)和牙周健康对照组(PHC,25 人)。利用龈缘间组织样本分别通过 qRT-PCR 和 ELISA 方法进行细胞因子蛋白估算和 mRNA 定量。研究人员分析了一些关键的促炎和抗炎细胞因子,以及各种 Th 亚群的代表因子。进行了 ROC 曲线分析,并计算了单个细胞因子的 Youden 指数和促/抗炎细胞因子比值,以估计组织中牙周严重程度/进展的最佳指标。IL-1β、TGF-β 和 IFN-γ 细胞因子蛋白水平随各组牙周病严重程度的变化而显著不同(p ≤ 0.05)。对同一参与者的深浅部位进行比较,深部位显示 TGF-β (p ≤ 0.01)、IFN-γ (p ≤ 0.05)和 IL-17 细胞因子明显升高,浅部位显示 IL-4 (p ≤ 0.01)和 IL-1β (p ≤ 0.05)细胞因子升高。转录本分析表明,与 PHC 相比,IFN-γ 和 IL-1β 转录本在 GSP 中占优势(p = 0.01)。ROC 分析表明,IL-1β 细胞因子的敏感性为 97%,特异性为 93%(Youden 指数为 90%);IL-1β/TGF-β 比值的敏感性为 81%,特异性为 79%(Youden 指数为 60%)。 在牙周袋组织中,研究组之间或受牙周病影响的浅层和深层部位之间缺乏特定细胞因子的明显优势。不过,细胞因子的 ROC 分析显示,IL-1β 细胞因子和 IL-1β/TGF-β 比率是牙龈组织中牙周病严重程度的可靠指标。
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