Correlation analysis of salivary microbiome and host blood lipid levels

doi:10.3969/j.issn.1674-8115.2021.04.005

Abstract

Abstract: Objective

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

Methods

·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.

Results

·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.

Conclusions

·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:

R781.6

Fen ZHAO, Qiao-qiao JIN, Ke-yong YUAN, Xiu-xiu HOU, Zheng-wei HUANG, Rui MA. Correlation analysis of salivary microbiome and host blood lipid levels[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(4): 442-447.

Figures/Tables 4

Table 1 Demographic and clinical characteristics of the study participants

Parameter	Study participants (n=114)
Age/year	53.20±4.70
Gender/n(%)
Male	50 （43.86）
Female	64 （56.14）
TCH/(mmol·L^-1)	5.59±0.91
TAG/(mmol·L^-1)	1.80±1.07
LDL-Ch/(mmol·L^-1)	3.33±0.62
HDL-Ch/(mmol·L^-1)	1.29±0.29

Fig 1 Community heat map at phylum level

Fig 2 Community heat map at genus level

Fig 3 Heatmap of Spearman correlation analysis between the top 50 abundant genera of salivary microbiome and the blood lipid levels of hosts

TrendMD

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