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Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis

BACKGROUND: One of the most common and recurrent vaginal infections is bacterial vaginosis (BV). The diagnosis is based on changes to the “normal” vaginal microbiome; however, the normal microbiome appears to differ according to reproductive status and ethnicity, and even among individuals within th...

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Autores principales: Chen, Hui-Mei, Chang, Tzu-Hao, Lin, Feng-Mao, Liang, Chao, Chiu, Chih-Min, Yang, Tzu-Ling, Yang, Ting, Huang, Chia-Yen, Cheng, Yeong-Nan, Chang, Yi-An, Chang, Po-Ya, Weng, Shun-Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311936/
https://www.ncbi.nlm.nih.gov/pubmed/30598080
http://dx.doi.org/10.1186/s12864-018-5284-7
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author Chen, Hui-Mei
Chang, Tzu-Hao
Lin, Feng-Mao
Liang, Chao
Chiu, Chih-Min
Yang, Tzu-Ling
Yang, Ting
Huang, Chia-Yen
Cheng, Yeong-Nan
Chang, Yi-An
Chang, Po-Ya
Weng, Shun-Long
author_facet Chen, Hui-Mei
Chang, Tzu-Hao
Lin, Feng-Mao
Liang, Chao
Chiu, Chih-Min
Yang, Tzu-Ling
Yang, Ting
Huang, Chia-Yen
Cheng, Yeong-Nan
Chang, Yi-An
Chang, Po-Ya
Weng, Shun-Long
author_sort Chen, Hui-Mei
collection PubMed
description BACKGROUND: One of the most common and recurrent vaginal infections is bacterial vaginosis (BV). The diagnosis is based on changes to the “normal” vaginal microbiome; however, the normal microbiome appears to differ according to reproductive status and ethnicity, and even among individuals within these groups. The Amsel criteria and Nugent score test are widely used for diagnosing BV; however, these tests are based on different criteria, and so may indicate distinct changes in the vaginal microbial community. Nevertheless, few studies have compared the results of these test against metagenomics analysis. METHODS: Vaginal flora samples from 77 participants were classified according to the Amsel criteria and Nugent score test. The microbiota composition was analyzed using 16S ribosome RNA gene amplicon sequencing. Bioinformatics analysis and multivariate statistical analysis were used to evaluate the microbial diversity and function. RESULTS: Only 3 % of the participants diagnosed BV negative using the Amsel criteria (A−) were BV-positive according to the Nugent score test (N+), while over half of the BV-positive patients using the Amsel criteria (A+) were BV-negative according to the Nugent score test (N−). Thirteen genera showed significant differences in distribution among BV status defined by BV tests (e.g., A − N−, A + N− and A + N+). Variations in the four most abundant taxa, Lactobacillus, Gardnerella, Prevotella, and Escherichia, were responsible for most of this dissimilarity. Furthermore, vaginal microbial diversity differed significantly among the three groups classified by the Nugent score test (N−, N+, and intermediate flora), but not between the Amsel criteria groups. Numerous predictive microbial functions, such as bacterial chemotaxis and bacterial invasion of epithelial cells, differed significantly among multiple BV test, but not between the A− and A+ groups. CONCLUSIONS: Metagenomics analysis can greatly expand our current understanding of vaginal microbial diversity in health and disease. Metagenomics profiling may also provide more reliable diagnostic criteria for BV testing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5284-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-63119362019-01-07 Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis Chen, Hui-Mei Chang, Tzu-Hao Lin, Feng-Mao Liang, Chao Chiu, Chih-Min Yang, Tzu-Ling Yang, Ting Huang, Chia-Yen Cheng, Yeong-Nan Chang, Yi-An Chang, Po-Ya Weng, Shun-Long BMC Genomics Research BACKGROUND: One of the most common and recurrent vaginal infections is bacterial vaginosis (BV). The diagnosis is based on changes to the “normal” vaginal microbiome; however, the normal microbiome appears to differ according to reproductive status and ethnicity, and even among individuals within these groups. The Amsel criteria and Nugent score test are widely used for diagnosing BV; however, these tests are based on different criteria, and so may indicate distinct changes in the vaginal microbial community. Nevertheless, few studies have compared the results of these test against metagenomics analysis. METHODS: Vaginal flora samples from 77 participants were classified according to the Amsel criteria and Nugent score test. The microbiota composition was analyzed using 16S ribosome RNA gene amplicon sequencing. Bioinformatics analysis and multivariate statistical analysis were used to evaluate the microbial diversity and function. RESULTS: Only 3 % of the participants diagnosed BV negative using the Amsel criteria (A−) were BV-positive according to the Nugent score test (N+), while over half of the BV-positive patients using the Amsel criteria (A+) were BV-negative according to the Nugent score test (N−). Thirteen genera showed significant differences in distribution among BV status defined by BV tests (e.g., A − N−, A + N− and A + N+). Variations in the four most abundant taxa, Lactobacillus, Gardnerella, Prevotella, and Escherichia, were responsible for most of this dissimilarity. Furthermore, vaginal microbial diversity differed significantly among the three groups classified by the Nugent score test (N−, N+, and intermediate flora), but not between the Amsel criteria groups. Numerous predictive microbial functions, such as bacterial chemotaxis and bacterial invasion of epithelial cells, differed significantly among multiple BV test, but not between the A− and A+ groups. CONCLUSIONS: Metagenomics analysis can greatly expand our current understanding of vaginal microbial diversity in health and disease. Metagenomics profiling may also provide more reliable diagnostic criteria for BV testing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5284-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-31 /pmc/articles/PMC6311936/ /pubmed/30598080 http://dx.doi.org/10.1186/s12864-018-5284-7 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Chen, Hui-Mei
Chang, Tzu-Hao
Lin, Feng-Mao
Liang, Chao
Chiu, Chih-Min
Yang, Tzu-Ling
Yang, Ting
Huang, Chia-Yen
Cheng, Yeong-Nan
Chang, Yi-An
Chang, Po-Ya
Weng, Shun-Long
Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
title Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
title_full Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
title_fullStr Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
title_full_unstemmed Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
title_short Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
title_sort vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311936/
https://www.ncbi.nlm.nih.gov/pubmed/30598080
http://dx.doi.org/10.1186/s12864-018-5284-7
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