口腔生物医学 ›› 2022, Vol. 13 ›› Issue (2): 86-91.

• 论著 • 上一篇    下一篇

孤独症谱系障碍儿童的唾液微生物群落研究

魏灿灿1,2,江瑾3,李然3,张进1,滕娜娜1,辛秉昌1,孙德刚1   

  1. 1. 青岛大学附属青岛市口腔医院牙体牙髓病科
    2. 青岛大学口腔医学院
    3. 青岛市中心医院口腔科
  • 收稿日期:2021-12-09 修回日期:2022-03-01 出版日期:2022-06-25 发布日期:2022-07-07
  • 通讯作者: 孙德刚 E-mail:sundegang168@sina.com
  • 基金资助:
    青岛市科技计划科技惠民专项;青岛市口腔医院青年科研基金;青岛市医疗卫生重点学科建设项目;青岛市医疗卫生优秀人才培养项目

Study of salivary microbiome in autism spectrum disorders children

  • Received:2021-12-09 Revised:2022-03-01 Online:2022-06-25 Published:2022-07-07
  • Contact: Sun DeGang E-mail:sundegang168@sina.com

摘要: 目的:通过宏基因组学方法结合Pacbio SMRT高通量测序技术探究孤独症谱系障碍(ASD)儿童中口腔健康和罹患龋齿者的唾液微生物菌群的组成及其差异。方法:收集42名ASD儿童唾液样本,其中无龋组22名,高龋组20名,提取DNA进行聚合酶链式反应扩增,利用Pacbio SMRT高通量测序技术对16S rRNA全长进行测序,进行口腔菌群结构和组成的分析比较。结果两组间唾液菌群结构差异有统计学意义(P<0.05),且高龋组的菌落结构更为相似和保守(P<0.05)。在种水平上,无龋组高表达有伯杰氏杆菌、南锡普氏菌、金黄色葡萄球菌三个健康相关微生物(P<0.05),高龋组高表达有变形链球菌、口普氏菌、浑浊戴阿利斯特杆菌、具核梭杆菌四个龋病相关微生物(P<0.05)。结论:ASD儿童的龋齿唾液菌群有整体菌群结构和特定物种组成的改变,为ASD儿童的龋齿预防和诊断提供新策略。

关键词: 孤独症谱系障碍, 龋齿, 唾液微生物组, 宏基因组学, PacBio SMRT高通量测序技术

Abstract: Objective:The salivary microbial communities in healthy and caries children with autism spectrum disorders were compared by third high-throughput sequencing platform combined with metagenomics technique. Methods:Saliva samples were collected from 22 healthy children (Caries-free, CF group) and 20 high caries (Caries-high, CH group) children with autism spectrum disorders (ASD), and the metagenomic DNA was extracted and amplified by polymerase chain reaction (PCR). The full-length 16S rRNA gene was sequenced by Pacbio SMRT sequencing technique, and the difference of salivary microbial structure and composition was analyzed and compared between two groups. Results:The difference in microbial structure between the CF and CH group was statistically significant (P<0.05). Moreover, the community structure in CH group was more similar and conserved (P<0.05). The microbial composition analysis results identified three health-enriched taxa, namely, Bergeyella spp, Prevotella nanceiensis, and Staphylococcus aureus for CF group (P<0.05), and four caries-enriched taxa including Streptococcus mutans, Prevotella oris, Dialister invisus and Fusobacterium nucleatum for CH group at species level (P<0.05). Conclusions:The study characterized the caries-specific community structure and biomarkers of the oral microbiota in ASD children, which might help develop novel strategies for the prevention and diagnosis of dental caries in ASD children population.

Key words: autism spectrum disorders, dental caries, saliva microbiome, metagenome, Pacbio SMRT high-throughput sequencing