DNA methylation signatures to predict the cervicovaginal microbiome status

Clin Epigenetics. 2020 Nov 23;12(1):180. doi: 10.1186/s13148-020-00966-7.

Abstract

Background: The composition of the microbiome plays an important role in human health and disease. Whether there is a direct association between the cervicovaginal microbiome and the host's epigenome is largely unexplored.

Results: Here we analyzed a total of 448 cervicovaginal smear samples and studied both the DNA methylome of the host and the microbiome using the Illumina EPIC array and next-generation sequencing, respectively. We found that those CpGs that are hypo-methylated in samples with non-lactobacilli (O-type) dominating communities are strongly associated with gastrointestinal differentiation and that a signature consisting of 819 CpGs was able to discriminate lactobacilli-dominating (L-type) from O-type samples with an area under the receiver operator characteristic curve (AUC) of 0.84 (95% CI = 0.77-0.90) in an independent validation set. The performance found in samples with more than 50% epithelial cells was further improved (AUC 0.87) and in women younger than 50 years of age was even higher (AUC 0.91). In a subset of 96 women, the buccal but not the blood cell DNA showed the same trend as the cervicovaginal samples in discriminating women with L- from O-type cervicovaginal communities.

Conclusions: These findings strongly support the view that the epithelial epigenome plays an essential role in hosting specific microbial communities.

Keywords: Cervicovaginal microbiome; DNA methylation; Epigenome–microbiome interaction; Penalized regression.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cervix Uteri / microbiology*
  • CpG Islands
  • DNA Methylation
  • Epigenome / genetics*
  • Epithelial Cells / metabolism
  • Female
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Lactobacillus / genetics
  • Lactobacillus / growth & development
  • Microbiota / genetics*
  • Middle Aged
  • Predictive Value of Tests
  • Vagina / microbiology*