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Host–microbiome interactions in apical periodontitis: The endodontic microbiome in relation to circulatory immunologic markers

机译:根尖周炎中的宿主-微生物组相互作用:牙髓微生物组与循环免疫标志物的关系

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Abstract Aim To explore microbial differences in the endodontic infection of teeth with primary or secondary apical periodontitis (AP), with or without symptomatology. Additionally, to investigate if these differences are depicted in immunologic markers in blood. Methodology Twenty‐nine teeth with primary or secondary AP were extracted and cryo‐pulverized. Blood was drawn from the subjects at three different time‐points before and three time‐points after the extraction in a time period of four months. The V4 hypervariable region of the 16S rRNA gene was sequenced using Illumina MiSeq. The microbial profiles were ordinated using principal component analysis and tested for differences between groups with permutational multivariate analysis of variance using the Bray–Curtis distance. If significantly different, the microbial profiles were further analysed using the LDA effect size (LEfSe) biomarker discovery tool. A broad panel of inflammatory mediators in blood was examined longitudinally in all subjects during the six visits with mixed models. The Spearman correlation between these mediators and the zOTUs was calculated, and significant correlations (p?
机译:摘要 目的 探讨原发性或继发性根尖周炎(AP)牙髓感染的微生物差异,无论是否伴有症状。此外,研究这些差异是否在血液中的免疫标志物中描述。方法:拔除 29 颗具有原发性或继发性 AP 的牙齿并冷冻粉碎。在四个月的时间段内,在提取前的三个不同时间点和提取后的三个时间点从受试者身上抽血。使用Illumina MiSeq对16S rRNA基因的V4高变区进行测序。使用主成分分析对微生物概况进行协调,并使用Bray-Curtis距离的排列多变量方差分析测试组间的差异。如果存在显著差异,则使用LDA效应大小(LEfSe)生物标志物发现工具进一步分析微生物谱。在六次访问期间,使用混合模型纵向检查了所有受试者血液中广泛的炎症介质。计算了这些介质与zOTUs之间的Spearman相关性,并具有显著相关性(p?.05)用作使用MeV对微阵列(SAM)进行重要分析的输入。结果 经亚采样,将467个zOTU分为9门、99属及以上分类群。整个样本集中的优势属是梭杆菌属,相对丰度为12.3%,其次是普雷沃氏菌属(9.9%)、放线菌(7.7%)和链球菌(6.7%)。牙髓感染的微生物组与牙髓状态显著相关(原发性/继发性感染;p?=?。015)以及疼痛的存在与否(p?=?。011).炎症介质的浓度也存在差异,即C反应蛋白,白细胞介素(IL)-8,IL-10,IL-12p70,RANKL和TNF-α,具体取决于疼痛的存在。此外,特定细菌 (zOTU) 的存在与几种循环炎症标志物的表达呈正相关或负相关。结论 原发性牙髓感染的微生物谱及全身炎症介质浓度-时间关系与继发性、症状性与无症状性不同。无症状患者和有症状患者之间的免疫学和微生物学特征之间的关联指纹不同。

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