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Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence

Vaginal and cervical canal bacteria are associated with women’s health and pregnancy outcomes. Here, we compared their composition and characteristics in 37 reproductive-aged Chinese women including 24 pregnant women with cervical incompetence (vaginal and cervical canal bacteria formed Groups A and...

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Autores principales: Sun, Meiguo, Geng, Huiwu, Bai, Jingjing, Feng, Jiahui, Xu, Na, Liu, Yunlong, Liu, Xiaoying, Liu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556877/
https://www.ncbi.nlm.nih.gov/pubmed/36246259
http://dx.doi.org/10.3389/fmicb.2022.986326
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author Sun, Meiguo
Geng, Huiwu
Bai, Jingjing
Feng, Jiahui
Xu, Na
Liu, Yunlong
Liu, Xiaoying
Liu, Gang
author_facet Sun, Meiguo
Geng, Huiwu
Bai, Jingjing
Feng, Jiahui
Xu, Na
Liu, Yunlong
Liu, Xiaoying
Liu, Gang
author_sort Sun, Meiguo
collection PubMed
description Vaginal and cervical canal bacteria are associated with women’s health and pregnancy outcomes. Here, we compared their composition and characteristics in 37 reproductive-aged Chinese women including 24 pregnant women with cervical incompetence (vaginal and cervical canal bacteria formed Groups A and B, respectively) and 13 healthy pregnant women (vaginal and cervical canal bacteria formed Groups C and D, respectively) using high-throughput sequencing of the V4 region of 16S rRNA gene. The results of alpha and beta diversity analysis, respectively, indicated no statistical differences between Groups A and B (p = 0.32, 0.06), nor Groups B and D (p = 0.69, 0.74); however, differences were found between Groups C and D (p = 0.02, 0.01) and between Groups A and C (p = 0.04, 0.02). PLS-DA analysis showed that the individuals from each group were irregularly distributed according to their clade. Lactobacillus, Bifidobacterium and Ureaplasma were the dominant genera in all groups. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSts) analysis identified 31 Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologs associated with the bacterial communities from the four groups, including membrane transport, folding, sorting and degradation, xenobiotics biodegradation and metabolism, and nucleotide metabolism. We further determined relationships between pregnancy outcomes (Apgar scores) and certain bacterial species. A significant positive correlation was found between Apgar scores and Actinomyces neuii and Anoxybacillus flavithermus in the vagina and cervical canal of pregnant women with cervical incompetence while Bacteroides plebeius, Bifidobacterium pseudopodium and Staphylococcus petrasii in the cervical canal displayed negative correlations with Apgar scores. Moreover, Clostridium fimetarium, Methanobacterium congolense, Pseudomonas chlororaphis, and Psychrobacter nivimaris in the vagina were negatively correlated with Apgar scores. These bacteria may serve as potential biomarkers, however, additional research is warranted to verify their role in clinical outcomes.
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spelling pubmed-95568772022-10-14 Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence Sun, Meiguo Geng, Huiwu Bai, Jingjing Feng, Jiahui Xu, Na Liu, Yunlong Liu, Xiaoying Liu, Gang Front Microbiol Microbiology Vaginal and cervical canal bacteria are associated with women’s health and pregnancy outcomes. Here, we compared their composition and characteristics in 37 reproductive-aged Chinese women including 24 pregnant women with cervical incompetence (vaginal and cervical canal bacteria formed Groups A and B, respectively) and 13 healthy pregnant women (vaginal and cervical canal bacteria formed Groups C and D, respectively) using high-throughput sequencing of the V4 region of 16S rRNA gene. The results of alpha and beta diversity analysis, respectively, indicated no statistical differences between Groups A and B (p = 0.32, 0.06), nor Groups B and D (p = 0.69, 0.74); however, differences were found between Groups C and D (p = 0.02, 0.01) and between Groups A and C (p = 0.04, 0.02). PLS-DA analysis showed that the individuals from each group were irregularly distributed according to their clade. Lactobacillus, Bifidobacterium and Ureaplasma were the dominant genera in all groups. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSts) analysis identified 31 Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologs associated with the bacterial communities from the four groups, including membrane transport, folding, sorting and degradation, xenobiotics biodegradation and metabolism, and nucleotide metabolism. We further determined relationships between pregnancy outcomes (Apgar scores) and certain bacterial species. A significant positive correlation was found between Apgar scores and Actinomyces neuii and Anoxybacillus flavithermus in the vagina and cervical canal of pregnant women with cervical incompetence while Bacteroides plebeius, Bifidobacterium pseudopodium and Staphylococcus petrasii in the cervical canal displayed negative correlations with Apgar scores. Moreover, Clostridium fimetarium, Methanobacterium congolense, Pseudomonas chlororaphis, and Psychrobacter nivimaris in the vagina were negatively correlated with Apgar scores. These bacteria may serve as potential biomarkers, however, additional research is warranted to verify their role in clinical outcomes. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9556877/ /pubmed/36246259 http://dx.doi.org/10.3389/fmicb.2022.986326 Text en Copyright © 2022 Sun, Geng, Bai, Feng, Xu, Liu, Liu and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Sun, Meiguo
Geng, Huiwu
Bai, Jingjing
Feng, Jiahui
Xu, Na
Liu, Yunlong
Liu, Xiaoying
Liu, Gang
Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
title Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
title_full Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
title_fullStr Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
title_full_unstemmed Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
title_short Characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
title_sort characterization of cervical canal and vaginal bacteria in pregnant women with cervical incompetence
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556877/
https://www.ncbi.nlm.nih.gov/pubmed/36246259
http://dx.doi.org/10.3389/fmicb.2022.986326
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