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DNA methylation signatures to predict the cervicovaginal microbiome status
NR. Nené, J. Barrett, A. Jones, I. Evans, D. Reisel, JF. Timms, T. Paprotka, A. Leimbach, D. Franchi, N. Colombo, L. Bjørge, M. Zikan, D. Cibula, M. Widschwendter
Language English Country Germany
Document type Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't
NLK
BioMedCentral
from 2010-01-09
BioMedCentral Open Access
from 2011
Directory of Open Access Journals
from 2011
Free Medical Journals
from 2011
PubMed Central
from 2010
Europe PubMed Central
from 2010
ProQuest Central
from 2015-01-01
Open Access Digital Library
from 2010-01-01
Open Access Digital Library
from 2011-01-01
Health & Medicine (ProQuest)
from 2015-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2010
Springer Nature OA/Free Journals
from 2010-09-01
- MeSH
- Cervix Uteri microbiology MeSH
- CpG Islands MeSH
- Adult MeSH
- Epigenome genetics MeSH
- Epithelial Cells metabolism MeSH
- Lactobacillus genetics growth & development MeSH
- Middle Aged MeSH
- Humans MeSH
- DNA Methylation MeSH
- Microbiota genetics MeSH
- Predictive Value of Tests MeSH
- Vagina microbiology MeSH
- High-Throughput Nucleotide Sequencing methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Research Support, Non-U.S. Gov't MeSH
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.
Centre for Cancer Biomarkers Department of Clinical Science CCBIO University of Bergen Bergen Norway
Department of Mathematics University College London London UK
Department of Obstetrics and Gynecology Haukeland University Hospital Bergen Norway
Department of Women's Cancer EGA Institute for Women's Health University College London London UK
Eurofins Genomics Europe Sequencing Constance Germany
European Translational Oncology Prevention and Screening Institute 6060 Hall in Tirol Austria
Europeo Di Oncologia IRCCS Milan Italy
Hospital Na Bulovce Prague Czech Republic
Research Institute for Biomedical Aging Research Universität Innsbruck 6020 Innsbruck Austria
References provided by Crossref.org
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