JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2021, Vol. 41 ›› Issue (4): 442-447.doi: 10.3969/j.issn.1674-8115.2021.04.005

• Basic research • Previous Articles     Next Articles

Correlation analysis of salivary microbiome and host blood lipid levels

Fen ZHAO1(), Qiao-qiao JIN1, Ke-yong YUAN1, Xiu-xiu HOU1, Zheng-wei HUANG1(), Rui MA1,2()   

  1. 1.Department of Endodontics, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai 200011, China
    2.Pudong Branch of Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
  • Received:2020-07-05 Online:2021-04-28 Published:2021-05-14
  • Contact: Zheng-wei HUANG,Rui MA;;
  • Supported by:
    National Natural Science Foundation of China(81570964)

Abstract: Objective

·To analyze the correlation between salivary microbiome and host blood lipid levels.


·Samples of saliva from 114 volunteers aged 45?60 years were collected to extract total DNA, and then 16S rDNA V3?V4 region was amplified with polymerase chain reaction. After the amplified products were sequenced via Illumina MiSeq PE300 platform,the obtained sequences were subjected to operational taxonomic units (OTUs) clustering and species annotation.The Spearman correlation analysis was also carried out to find the correlations between the top 50 abundant genera in the salivary microbiome and host blood lipid levels, P<0.05 was considered as statistically significant difference.


·The saliva samples of 114 volunteers were sequenced with an average sequence number of 41 084±4 740, and the number of OTUs obtained by clustering was 1 153, annotated to 23 phyla, 43 classes, 89 orders, 147 families and 317 genera. Species clustering heat map of 114 samples suggested that salivary microbiome has similar abundance patterns of species composition in the population.Spearman correlation analysis showed that among triacylglycerol (TAG) the top 50 abundant genera in the salivary microbiome, Neisseria spp. were negatively correlated with the host serum total cholesterol (TCH), and low density lipoprotein cholesterol level (LDL-Ch); Gemella spp. are positively correlated with Host serum TCH and LDL-Ch; high-density lipoprotein cholesterol presents negative correlation with Comamonas spp., Filifactor spp. and Parvimonas spp.


·The composition structure of salivary microbiota in the population is quite stable and is related to the levels of host blood lipids. It is promising to further explore salivary microbiota as early warning indicators of individual lipid metabolism abnormalities.

Key words: salivary microbiome, blood lipid levels, 16S rDNA sequencing, Spearman correlation analysis

CLC Number: