Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Feb;102(2):146-156.
doi: 10.1177/00220345221125402. Epub 2022 Oct 8.

Host Genotype Links to Salivary and Gut Microbiota by Periodontal Status

Affiliations

Host Genotype Links to Salivary and Gut Microbiota by Periodontal Status

Y Kurushima et al. J Dent Res. 2023 Feb.

Abstract

Limited evidence describing how host genetic variants affect the composition of the microbiota is currently available. The aim of this study was to assess the associations between a set of candidate host genetic variants and microbial composition in both saliva and gut in the TwinsUK registry. A total of 1,746 participants were included in this study and provided stool samples. A subset of 1,018 participants also provided self-reported periodontal data, and 396 of those participants provided a saliva sample. Host DNA was extracted from whole-blood samples and processed for Infinium Global screening array, focusing on 37 selected single-nucleotide polymorphisms (SNPs) previously associated with periodontitis. The gut and salivary microbiota of participants were profiled using 16S ribosomal RNA amplicon sequencing. Associations between genotype on the selected SNPs and microbial outcomes, including α diversity, β diversity, and amplicon sequence variants (ASVs), were investigated in a multivariate mixed model. Self-reported periodontal status was also compared with microbial outcomes. Downstream analyses in gut microbiota and salivary microbiota were carried out separately. IL10 rs6667202 and VDR 2228570 SNPs were associated with salivary α diversity, and SNPs in IL10, HSA21, UHRF2, and Fc-γR genes were associated with dissimilarity matrix generated from salivary β diversity. The SNP that was associated with the greatest number of salivary ASVs was VDR 2228570 followed by IL10 rs6667202, and that of gut ASVs was NPY rs2521364. There were 77 salivary ASVs and 39 gut ASVs differentially abundant in self-reported periodontal disease versus periodontal health. The dissimilarity between saliva and gut microbiota within individuals appeared significantly greater in self-reported periodontal cases compared to periodontal health. IL10 and VDR gene variants may affect salivary microbiota composition. Periodontal status may drive variations in the salivary microbiota and possibly, to a lesser extent, in the gut microbiota.

Keywords: bacteria; genetics; infectious disease(s); microbiome; periodontal disease(s)/periodontitis; saliva.

PubMed Disclaimer

Conflict of interest statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
The distribution of Simpson/Shannon salivary α diversity by genotypes in (A) IL10_rs666702 and (B) VDR_rs2228570. All the above showed statistical difference between genotypes (divided into minor or homozygous for rare allele, heterozygous and major or homozygous for common allele) with either a Kruskal-Wallis test or Student’s t test (N = 396).
Figure 2.
Figure 2.
Principal component analysis plots on the first 2 components with Aitchison distances in salivary microbiota. Samples highlighted with red are minor genotype and with green are major genotype.
Figure 3.
Figure 3.
Heatmap depicting associations between amplicon sequence variants (ASVs) in (A) saliva and (B) gut and genotypes (used dominant model) with multivariate analysis. Higher color concentration represents stronger associations; positive correlations are shown in red, and negative correlations are shown in blue. The taxonomic information for all the ASVs in the y-axis is listed in Table 2.

References

    1. Belstrom D, Grande MA, Sembler-Moller ML, Kirkby N, Cotton SL, Paster BJ, Holmstrup P. 2018. Influence of periodontal treatment on subgingival and salivary microbiotas. J Periodontol. 89(5):531–539. - PubMed
    1. Berglundh T, Donati M, Hahn-Zoric M, Hanson LA, Padyukov L. 2003. Association of the –1087 IL 10 gene polymorphism with severe chronic periodontitis in Swedish Caucasians. J Clin Periodontol. 30(3):249–254. - PubMed
    1. Boulange CL, Neves AL, Chilloux J, Nicholson JK, Dumas ME. 2016. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med. 8(1):42. - PMC - PubMed
    1. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, et al.. 2010. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 7(5):335–336. - PMC - PubMed
    1. Cavalla F, Biguetti CC, Melchiades JL, Tabanez AP, Azevedo MCS, Trombone APF, Faveri M, Feres M, Garlet GP. 2018. Genetic association with subgingival bacterial colonization in chronic periodontitis. Genes (Basel). 9(6):271. - PMC - PubMed

Publication types

LinkOut - more resources