上海口腔医学 ›› 2022, Vol. 31 ›› Issue (4): 395-399.doi: 10.19439/j.sjos.2022.04.011

• 论著 • 上一篇    下一篇

龈上菌斑微生物与宿主血脂水平的相关性分析

赵芬, 董婷, 苑克勇, 晋巧巧, 黄正蔚, 马瑞   

  1. 上海交通大学医学院附属第九人民医院 牙体牙髓病科,上海交通大学口腔医学院,国家口腔医学中心,国家口腔疾病临床医学研究中心,上海市口腔医学重点实验室,上海 200011
  • 收稿日期:2021-01-18 修回日期:2021-02-21 出版日期:2022-08-25 发布日期:2022-08-30
  • 通讯作者: 马瑞,E-mail: marui1723@sina.com
  • 作者简介:赵芬(1995-),女,硕士,住院医师, E-mail:925629949@qq.com
  • 基金资助:
    国家自然科学基金(81570964); 上海市科学技术委员会科研基金(201409001000); 上海交通大学医学院附属第九人民医院、上海交通大学口腔医学院研究; 型学科基金(KQYJXK2020)

Correlation analysis of supragingival microbiome and host blood lipid levels

ZHAO Fen, DONG Ting, YUAN Ke-yong, JIN Qiao-qiao, HUANG Zheng-wei, MA Rui   

  1. Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology. Shanghai 200011, China
  • Received:2021-01-18 Revised:2021-02-21 Online:2022-08-25 Published:2022-08-30

摘要: 目的: 分析龈上菌斑微生物与宿主血脂水平的相关性。方法: 采集68名45~60岁志愿者的龈上菌斑样本,提取总DNA并对其16S rDNA V3-V4区进行PCR扩增。扩增所得产物经Illumina MiSeq PE300平台测序后,进行OTU聚类、物种注释,并将注释到的物种(属水平)与宿主血脂水平作Spearman相关分析。采用SPSS 16.0软件包对数据进行统计学分析。结果: 68名志愿者的龈上菌斑样本测序所得平均序列数为41 929条,聚类所得OTU数为1 037,共注释到 25个门,45个纲,92个目,155个科和330个属。物种聚类热图显示68个样本具有相似的物种组成丰度模式。Spearman相关分析显示:在龈上菌斑微生物中,拟普雷沃菌属、小类杆菌属、消化链球菌属和普雷沃菌属7与宿主血清总胆固醇、低密度脂蛋白胆固醇水平呈负相关;宿主血清高密度脂蛋白胆固醇水平与奈瑟菌属的丰度呈正相关,但与普雷沃菌属2的丰度呈负相关。结论: 人群中龈上菌斑微生物的组成结构具有稳定性,与宿主血脂水平相关,可进一步探究龈上菌斑微生物作为宿主脂代谢状态的生物标志物。

关键词: 龈上菌斑, 微生物, 血脂水平, 16S rDNA测序, Spearman相关分析

Abstract: PURPOSE: To analyze the correlation between microbiome of supragingival plaque and host blood lipid levels. METHODS: Samples of supragingival plaques from 68 volunteers aged 45-60 years were collected. The total DNA was extracted, and 16S rDNA V3-V4 regions were amplified via PCR. The amplified products were sequenced by Illumina MiSeq PE300. After that, OTU clustering and species annotation were carried out. Then, the correlation of annotated species (genus level) and host blood lipid level were calculated with Spearman correlation analysis. SPSS 16.0 software package was used for statistical analysis. RESULTS: The average number of sequences obtained from the supragingival plaque samples was 41 929, and the number of OTUs obtained by clustering was 1 037. A total of 25 phyla, 45 classes, 92 orders, 155 families and 330 genera were annotated. Species heat maps showed a high degree of consistency in the species composition abundance of 68 samples. Spearman correlation analysis showed that among the supragingival microorganisms, Alloprevotella spp., Dialister spp., Peptostreptococcus spp. and Prevotella 7 spp., were negatively correlated with the host serum total cholesterol/low density lipoprotein cholesterol level. Neisseria spp. was positively correlated with host serum high-density lipoprotein cholesterol, but negatively correlated with Prevotella 2 spp.. CONCLUSIONS: The compositional structure of the supragingival microbiome is relatively stable and has a correlation with the host blood lipid levels. Profiles of supragingival microbiome can be promising biomarkers of the lipid metabolism of the host.

Key words: Supragingival plaque, Microbiome, Blood lipid levels, 16S rDNA sequencing, Spearman correlation analysis

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