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

Hui Mei Chen, Tzu Hao Chang, Feng Mao Lin, Chao Liang, Chih Min Chiu, Tzu Ling Yang, Ting Yang, Chia Yen Huang, Yeong Nan Cheng, Yi An Chang, Po Ya Chang, Shun Long Weng

Research output: Contribution to journalArticle

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Abstract

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.

Original languageEnglish
Article number876
JournalBMC Genomics
Volume19
DOIs
Publication statusPublished - Dec 31 2018

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Bacterial Vaginosis
Microbiota
Metagenomics
Gardnerella
Prevotella
Escherichia
Lactobacillus
Chemotaxis
Computational Biology
Ribosomes
Multivariate Analysis
Epithelial Cells
RNA

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

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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.

In: BMC Genomics, Vol. 19, 876, 31.12.2018.

Research output: Contribution to journalArticle

Chen, HM, Chang, TH, Lin, FM, Liang, C, Chiu, CM, Yang, TL, Yang, T, Huang, CY, Cheng, YN, Chang, YA, Chang, PY & Weng, SL 2018, 'Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis', BMC Genomics, vol. 19, 876. https://doi.org/10.1186/s12864-018-5284-7
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. In: BMC Genomics. 2018 ; Vol. 19.
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AU - Chen, Hui Mei

AU - Chang, Tzu Hao

AU - Lin, Feng Mao

AU - Liang, Chao

AU - Chiu, Chih Min

AU - Yang, Tzu Ling

AU - Yang, Ting

AU - Huang, Chia Yen

AU - Cheng, Yeong Nan

AU - Chang, Yi An

AU - Chang, Po Ya

AU - Weng, Shun Long

PY - 2018/12/31

Y1 - 2018/12/31

N2 - 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.

AB - 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.

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