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A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease

BACKGROUND: Bacterial vaginosis (BV) is the most common vaginal disorder of reproductive-age women. Yet the cause of BV has not been established. To uncover key determinants of BV, we employed a multi-omic, systems-biology approach, including both deep 16S rRNA gene-based sequencing and metabolomics...

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Autores principales: Yeoman, Carl J., Thomas, Susan M., Miller, Margret E. Berg, Ulanov, Alexander V., Torralba, Manolito, Lucas, Sarah, Gillis, Marcus, Cregger, Melissa, Gomez, Andres, Ho, Mengfei, Leigh, Steven R., Stumpf, Rebecca, Creedon, Douglas J., Smith, Michael A., Weisbaum, Jon S., Nelson, Karen E., Wilson, Brenda A., White, Bryan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566083/
https://www.ncbi.nlm.nih.gov/pubmed/23405259
http://dx.doi.org/10.1371/journal.pone.0056111
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author Yeoman, Carl J.
Thomas, Susan M.
Miller, Margret E. Berg
Ulanov, Alexander V.
Torralba, Manolito
Lucas, Sarah
Gillis, Marcus
Cregger, Melissa
Gomez, Andres
Ho, Mengfei
Leigh, Steven R.
Stumpf, Rebecca
Creedon, Douglas J.
Smith, Michael A.
Weisbaum, Jon S.
Nelson, Karen E.
Wilson, Brenda A.
White, Bryan A.
author_facet Yeoman, Carl J.
Thomas, Susan M.
Miller, Margret E. Berg
Ulanov, Alexander V.
Torralba, Manolito
Lucas, Sarah
Gillis, Marcus
Cregger, Melissa
Gomez, Andres
Ho, Mengfei
Leigh, Steven R.
Stumpf, Rebecca
Creedon, Douglas J.
Smith, Michael A.
Weisbaum, Jon S.
Nelson, Karen E.
Wilson, Brenda A.
White, Bryan A.
author_sort Yeoman, Carl J.
collection PubMed
description BACKGROUND: Bacterial vaginosis (BV) is the most common vaginal disorder of reproductive-age women. Yet the cause of BV has not been established. To uncover key determinants of BV, we employed a multi-omic, systems-biology approach, including both deep 16S rRNA gene-based sequencing and metabolomics of lavage samples from 36 women. These women varied demographically, behaviorally, and in terms of health status and symptoms. PRINCIPAL FINDINGS: 16S rRNA gene-based community composition profiles reflected Nugent scores, but not Amsel criteria. In contrast, metabolomic profiles were markedly more concordant with Amsel criteria. Metabolomic profiles revealed two distinct symptomatic BV types (SBVI and SBVII) with similar characteristics that indicated disruption of epithelial integrity, but each type was correlated to the presence of different microbial taxa and metabolites, as well as to different host behaviors. The characteristic odor associated with BV was linked to increases in putrescine and cadaverine, which were both linked to Dialister spp. Additional correlations were seen with the presence of discharge, 2-methyl-2-hydroxybutanoic acid, and Mobiluncus spp., and with pain, diethylene glycol and Gardnerella spp. CONCLUSIONS: The results not only provide useful diagnostic biomarkers, but also may ultimately provide much needed insight into the determinants of BV.
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spelling pubmed-35660832013-02-12 A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease Yeoman, Carl J. Thomas, Susan M. Miller, Margret E. Berg Ulanov, Alexander V. Torralba, Manolito Lucas, Sarah Gillis, Marcus Cregger, Melissa Gomez, Andres Ho, Mengfei Leigh, Steven R. Stumpf, Rebecca Creedon, Douglas J. Smith, Michael A. Weisbaum, Jon S. Nelson, Karen E. Wilson, Brenda A. White, Bryan A. PLoS One Research Article BACKGROUND: Bacterial vaginosis (BV) is the most common vaginal disorder of reproductive-age women. Yet the cause of BV has not been established. To uncover key determinants of BV, we employed a multi-omic, systems-biology approach, including both deep 16S rRNA gene-based sequencing and metabolomics of lavage samples from 36 women. These women varied demographically, behaviorally, and in terms of health status and symptoms. PRINCIPAL FINDINGS: 16S rRNA gene-based community composition profiles reflected Nugent scores, but not Amsel criteria. In contrast, metabolomic profiles were markedly more concordant with Amsel criteria. Metabolomic profiles revealed two distinct symptomatic BV types (SBVI and SBVII) with similar characteristics that indicated disruption of epithelial integrity, but each type was correlated to the presence of different microbial taxa and metabolites, as well as to different host behaviors. The characteristic odor associated with BV was linked to increases in putrescine and cadaverine, which were both linked to Dialister spp. Additional correlations were seen with the presence of discharge, 2-methyl-2-hydroxybutanoic acid, and Mobiluncus spp., and with pain, diethylene glycol and Gardnerella spp. CONCLUSIONS: The results not only provide useful diagnostic biomarkers, but also may ultimately provide much needed insight into the determinants of BV. Public Library of Science 2013-02-06 /pmc/articles/PMC3566083/ /pubmed/23405259 http://dx.doi.org/10.1371/journal.pone.0056111 Text en © 2013 Yeoman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yeoman, Carl J.
Thomas, Susan M.
Miller, Margret E. Berg
Ulanov, Alexander V.
Torralba, Manolito
Lucas, Sarah
Gillis, Marcus
Cregger, Melissa
Gomez, Andres
Ho, Mengfei
Leigh, Steven R.
Stumpf, Rebecca
Creedon, Douglas J.
Smith, Michael A.
Weisbaum, Jon S.
Nelson, Karen E.
Wilson, Brenda A.
White, Bryan A.
A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
title A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
title_full A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
title_fullStr A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
title_full_unstemmed A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
title_short A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
title_sort multi-omic systems-based approach reveals metabolic markers of bacterial vaginosis and insight into the disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566083/
https://www.ncbi.nlm.nih.gov/pubmed/23405259
http://dx.doi.org/10.1371/journal.pone.0056111
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