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Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing
BACKGROUND: Cytolytic vaginosis (CV) is a common disease that results in pruritus, dyspareunia, and vulvar dysuria. However, the pathological mechanisms of the disease are still unclear. Compared to traditional methods, high‐throughput sequencing can obtain more accurate qualitative and quantitative...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430347/ https://www.ncbi.nlm.nih.gov/pubmed/30203607 http://dx.doi.org/10.1002/jcla.22653 |
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author | Xu, Haihong Zhang, Xueying Yao, Wenwu Sun, Yi Zhang, Yanjun |
author_facet | Xu, Haihong Zhang, Xueying Yao, Wenwu Sun, Yi Zhang, Yanjun |
author_sort | Xu, Haihong |
collection | PubMed |
description | BACKGROUND: Cytolytic vaginosis (CV) is a common disease that results in pruritus, dyspareunia, and vulvar dysuria. However, the pathological mechanisms of the disease are still unclear. Compared to traditional methods, high‐throughput sequencing can obtain more accurate qualitative and quantitative information on the microbiome. METHODS: We collected 75 samples from 32 healthy women (average age 44 ± 8) and 43 patients with CV (average age 38 ± 8). We used high‐throughput sequencing of the 16S rRNA V3‐V4 region to characterize and compare the vaginal microbiota of patients with CV and healthy women and to identify potential biomarkers for CV. RESULTS: The vaginal pH of patients with CV was ≤3.8, and the vaginal concentration of H(2)O(2) was ≥2 μmol/L. Colony densities of Lactobacillus spp. in patients with CV ranged from +++ (5‐30) to ++++ (>30) and were significantly higher than those in healthy women. High‐throughput sequencing showed that Lactobacillus was the most prominent genus both in patients with CV and in healthy women, with abundances of 83.8% and 97.2%, respectively (P < 0.001). Lactobacillus crispatus was more abundant in patients with CV, whereas Lactobacillus sp. L‐YJ was more abundant in healthy women, with area under the curve (AUC) values of 0.9375 and 0.8379, respectively. CONCLUSION: The abundance of Lactobacillus spp. in CV patients was significantly different from that of healthy patients. Two suitable biomarkers, L. crispatus and Lactobacillus sp. L‐YJ, were identified. These results will be useful for the identification of women at risk of serious illness before they develop obvious symptoms. |
format | Online Article Text |
id | pubmed-6430347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64303472019-06-27 Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing Xu, Haihong Zhang, Xueying Yao, Wenwu Sun, Yi Zhang, Yanjun J Clin Lab Anal Research Articles BACKGROUND: Cytolytic vaginosis (CV) is a common disease that results in pruritus, dyspareunia, and vulvar dysuria. However, the pathological mechanisms of the disease are still unclear. Compared to traditional methods, high‐throughput sequencing can obtain more accurate qualitative and quantitative information on the microbiome. METHODS: We collected 75 samples from 32 healthy women (average age 44 ± 8) and 43 patients with CV (average age 38 ± 8). We used high‐throughput sequencing of the 16S rRNA V3‐V4 region to characterize and compare the vaginal microbiota of patients with CV and healthy women and to identify potential biomarkers for CV. RESULTS: The vaginal pH of patients with CV was ≤3.8, and the vaginal concentration of H(2)O(2) was ≥2 μmol/L. Colony densities of Lactobacillus spp. in patients with CV ranged from +++ (5‐30) to ++++ (>30) and were significantly higher than those in healthy women. High‐throughput sequencing showed that Lactobacillus was the most prominent genus both in patients with CV and in healthy women, with abundances of 83.8% and 97.2%, respectively (P < 0.001). Lactobacillus crispatus was more abundant in patients with CV, whereas Lactobacillus sp. L‐YJ was more abundant in healthy women, with area under the curve (AUC) values of 0.9375 and 0.8379, respectively. CONCLUSION: The abundance of Lactobacillus spp. in CV patients was significantly different from that of healthy patients. Two suitable biomarkers, L. crispatus and Lactobacillus sp. L‐YJ, were identified. These results will be useful for the identification of women at risk of serious illness before they develop obvious symptoms. John Wiley and Sons Inc. 2018-09-10 /pmc/articles/PMC6430347/ /pubmed/30203607 http://dx.doi.org/10.1002/jcla.22653 Text en © 2018 The Authors Journal of Clinical Laboratory Analysis Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Xu, Haihong Zhang, Xueying Yao, Wenwu Sun, Yi Zhang, Yanjun Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
title | Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
title_full | Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
title_fullStr | Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
title_full_unstemmed | Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
title_short | Characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
title_sort | characterization of the vaginal microbiome during cytolytic vaginosis using high‐throughput sequencing |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430347/ https://www.ncbi.nlm.nih.gov/pubmed/30203607 http://dx.doi.org/10.1002/jcla.22653 |
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