| Title |
A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
|
|---|---|
| Published in |
PLOS ONE, February 2013
|
| DOI | 10.1371/journal.pone.0056111 |
| Pubmed ID | |
| Authors |
Carl J. Yeoman, Susan M. Thomas, Margret E. Berg Miller, Alexander V. Ulanov, Manolito Torralba, Sarah Lucas, Marcus Gillis, Melissa Cregger, Andres Gomez, Mengfei Ho, Steven R. Leigh, Rebecca Stumpf, Douglas J. Creedon, Michael A. Smith, Jon S. Weisbaum, Karen E. Nelson, Brenda A. Wilson, Bryan A. White |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 2 | 1% |
| Slovenia | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 160 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 25% |
| Researcher | 28 | 16% |
| Student > Master | 24 | 14% |
| Student > Bachelor | 15 | 9% |
| Student > Postgraduate | 9 | 5% |
| Other | 29 | 17% |
| Unknown | 23 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 31% |
| Biochemistry, Genetics and Molecular Biology | 24 | 14% |
| Medicine and Dentistry | 22 | 13% |
| Immunology and Microbiology | 14 | 8% |
| Engineering | 6 | 4% |
| Other | 19 | 11% |
| Unknown | 32 | 19% |