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DNA methylation signatures to predict the cervicovaginal microbiome status
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 stu...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686703/ https://www.ncbi.nlm.nih.gov/pubmed/33228781 http://dx.doi.org/10.1186/s13148-020-00966-7 |
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author | Nené, Nuno R. Barrett, James Jones, Allison Evans, Iona Reisel, Daniel Timms, John F. Paprotka, Tobias Leimbach, Andreas Franchi, Dorella Colombo, Nicoletta Bjørge, Line Zikan, Michal Cibula, David Widschwendter, Martin |
author_facet | Nené, Nuno R. Barrett, James Jones, Allison Evans, Iona Reisel, Daniel Timms, John F. Paprotka, Tobias Leimbach, Andreas Franchi, Dorella Colombo, Nicoletta Bjørge, Line Zikan, Michal Cibula, David Widschwendter, Martin |
author_sort | Nené, Nuno R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7686703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76867032020-11-25 DNA methylation signatures to predict the cervicovaginal microbiome status Nené, Nuno R. Barrett, James Jones, Allison Evans, Iona Reisel, Daniel Timms, John F. Paprotka, Tobias Leimbach, Andreas Franchi, Dorella Colombo, Nicoletta Bjørge, Line Zikan, Michal Cibula, David Widschwendter, Martin Clin Epigenetics Research 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. BioMed Central 2020-11-23 /pmc/articles/PMC7686703/ /pubmed/33228781 http://dx.doi.org/10.1186/s13148-020-00966-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nené, Nuno R. Barrett, James Jones, Allison Evans, Iona Reisel, Daniel Timms, John F. Paprotka, Tobias Leimbach, Andreas Franchi, Dorella Colombo, Nicoletta Bjørge, Line Zikan, Michal Cibula, David Widschwendter, Martin DNA methylation signatures to predict the cervicovaginal microbiome status |
title | DNA methylation signatures to predict the cervicovaginal microbiome status |
title_full | DNA methylation signatures to predict the cervicovaginal microbiome status |
title_fullStr | DNA methylation signatures to predict the cervicovaginal microbiome status |
title_full_unstemmed | DNA methylation signatures to predict the cervicovaginal microbiome status |
title_short | DNA methylation signatures to predict the cervicovaginal microbiome status |
title_sort | dna methylation signatures to predict the cervicovaginal microbiome status |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686703/ https://www.ncbi.nlm.nih.gov/pubmed/33228781 http://dx.doi.org/10.1186/s13148-020-00966-7 |
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