Characterization of Supragingival Plaque and Oral Swab Microbiomes in Children With Severe Early Childhood Caries.

Characterization of Supragingival Plaque and Oral Swab Microbiomes in Children With Severe Early Childhood Caries.
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DOI:
10.3389/fmicb.2021.683685
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发表时间:
2021
影响因子:
5.2
通讯作者:
Chelikani P
Chelikani P
中科院分区:
生物学2区
文献类型:
--
作者:
de Jesus VC;Khan MW;Mittermuller BA;Duan K;Hu P;Schroth RJ;Chelikani P

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人类口腔是最多样化的微生物群落之一,具有不同的口腔微环境,允许独特的微生物物种定植。本研究旨在利用下一代测序和机器学习 (ML) 确定两个常用采样点(牙菌斑与口腔拭子)中的哪一个可以为无龋齿与重度儿童早期龋齿 (S-ECC) 提供更好的预测模型。在这项横断面研究中,总共招募了 80 名 < 72 个月大的儿童(40 名 S-ECC 和 40 名无龋齿)。龈上菌斑和口腔拭子样本用于 V4-16S rRNA 和 ITS1 rRNA 基因的扩增子测序。结果显示,牙菌斑和口腔拭子细菌和真菌微生物组之间的α和β多样性存在显着差异。差异丰度分析表明,与口腔拭子相比,S-ECC 儿童的牙菌斑中致龋菌种变异链球菌含量较高。与无龋齿对照组相比,S-ECC 儿童口腔拭子样本中的真菌种类都柏林念珠菌和热带念珠菌含量更高。它们也是口腔拭子中 S-ECC 与无龋齿分类以及 S-ECC 组牙菌斑与口腔拭子分类的前 20 个最重要特征之一。机器学习方法揭示了根据龋齿状态和采样点对样本进行分类的可能性。测试的样本采集地点并没有改变疾病的可预测性。然而,每个采样点被认为对疾病分类重要的物种略有不同。在口腔微生物组研究的设计过程中,能够确定样品的来源可能非常有用。这项研究为了解 S-ECC 儿童和无龋儿童的牙菌斑和口腔拭子细菌组和真菌组之间的差异提供了重要见解。
The human oral cavity harbors one of the most diverse microbial communities with different oral microenvironments allowing the colonization of unique microbial species. This study aimed to determine which of two commonly used sampling sites (dental plaque vs. oral swab) would provide a better prediction model for caries-free vs. severe early childhood caries (S-ECC) using next generation sequencing and machine learning (ML). In this cross-sectional study, a total of 80 children (40 S-ECC and 40 caries-free) < 72 months of age were recruited. Supragingival plaque and oral swab samples were used for the amplicon sequencing of the V4-16S rRNA and ITS1 rRNA genes. The results showed significant differences in alpha and beta diversity between dental plaque and oral swab bacterial and fungal microbiomes. Differential abundance analyses showed that, among others, the cariogenic species Streptococcus mutans was enriched in the dental plaque, compared to oral swabs, of children with S-ECC. The fungal species Candida dubliniensis and C. tropicalis were more abundant in the oral swab samples of children with S-ECC compared to caries-free controls. They were also among the top 20 most important features for the classification of S-ECC vs. caries-free in oral swabs and for the classification of dental plaque vs. oral swab in the S-ECC group. ML approaches revealed the possibility of classifying samples according to both caries status and sampling sites. The tested site of sample collection did not change the predictability of the disease. However, the species considered to be important for the classification of disease in each sampling site were slightly different. Being able to determine the origin of the samples could be very useful during the design of oral microbiome studies. This study provides important insights into the differences between the dental plaque and oral swab bacteriome and mycobiome of children with S-ECC and those caries-free.
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