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J Periodontal Res:慢性牙周炎治疗后龈沟液生物标志物变化的高通量蛋白质组分析

2018-10-01 MedSci MedSci原创

非靶向,高通量蛋白质组学方法具有很大的潜力,有助于鉴定用于诊断牙周病的生物标志物。本实验研究了这些方法在牙周治疗后牙周炎候选生物标志物发现方面的应用。

非靶向,高通量蛋白质组学方法具有很大的潜力,有助于鉴定用于诊断牙周病的生物标志物。本实验研究了这些方法在牙周治疗后牙周炎候选生物标志物发现方面的应用。

方法:在治疗前和完成牙周机械治疗后1,5,9和13周,从诊断为慢性牙周炎的10名患者中收集龈沟液样本。在治疗前和13周时记录牙周病的临床指标,包括探诊深度,衰退,临床附着水平和探诊出血。使用在线液相色谱 - 纳电喷雾 - 混合离子阱 - Orbitrap质谱仪分析样品。使用PILOT_PROTEIN蛋白质组学软件套件处理光谱。

结果:治疗13周后临床参数显着改善(Wilcoxon签名等级检验,P <.05)。从大量鉴定的蛋白质中,通过包括时间模式匹配,逻辑函数拟合和混合整数线性优化的滤波方法提取小子集。该子集包括azurocidin,溶菌酶C和肌球蛋白-9作为在基线处突出的候选生物标志物和在治疗后13周突出的α-平滑肌肌动蛋白。交叉验证研究得出平均预测准确度和曲线下面积分别为0.900和0.930。

高通量蛋白质组学分析有助于确定牙周治疗的终点。应评估这些候选生物标志物的临床疗效。

原始出处:

Y. A. Guzman, et al.High‐throughput proteomic analysis of candidate biomarker changes in gingival crevicular fluid after treatment of chronic periodontitis. Journal of  Periodontal Research. 2018 October. Doi:10.1111/jre.12575

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    2019-06-25 feather89
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  5. 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  6. 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  7. 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  9. 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