Cargando…
The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study
BACKGROUND: Although sexually transmitted infections are regarded as the main cause of tubal infertility, the association between the common vaginal microbiome and female fecundability has yet to be determined. The objective of this study was to find convincing evidence relating to the impact of the...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341075/ https://www.ncbi.nlm.nih.gov/pubmed/35909180 http://dx.doi.org/10.1186/s12916-022-02437-7 |
_version_ | 1784760535908089856 |
---|---|
author | Hong, Xiang Zhao, Jun Yin, Jiechen Zhao, Fanqi Wang, Wei Ding, Xiaoling Yu, Hong Ma, Xu Wang, Bei |
author_facet | Hong, Xiang Zhao, Jun Yin, Jiechen Zhao, Fanqi Wang, Wei Ding, Xiaoling Yu, Hong Ma, Xu Wang, Bei |
author_sort | Hong, Xiang |
collection | PubMed |
description | BACKGROUND: Although sexually transmitted infections are regarded as the main cause of tubal infertility, the association between the common vaginal microbiome and female fecundability has yet to be determined. The objective of this study was to find convincing evidence relating to the impact of the vaginal bacterial structure on the fecundability of women planning pregnancy. METHODS: We recruited women who took part in the Free Pre-pregnancy Health Examination Project from 13 June 2018 to 31 October 2018 (n = 89, phase I) and from 1 November 2018 to 30 May 2020 (n = 389, phase II). We collected pre-pregnancy vaginal swabs from each subject; then, we followed up each subject to acquire the pregnancy-planning outcome in 1 year. In phase I, 16S rRNA gene sequencing was performed to investigate the vaginal bacterial content between the pregnancy and non-pregnancy groups. These findings were verified in phase II by applying a quantitative real-time polymerase chain reaction for the measurement of the absolute abundance of specific species. Cox models were used to estimate fecundability ratios (FR) for each vaginal microbiome type. RESULTS: In phase I, 59.6% (53/89) of women became pregnant within 1 year. The principal coordinate analysis showed that the pre-pregnancy vaginal microbial community structures of the pregnant and non-pregnant groups were significantly different (PERMANOVA test, R(2) = 0.025, P = 0.049). The abundance of the genus Lactobacillus in the pregnancy group was higher than that of the non-pregnant group (linear discriminant analysis effect size (LDA) > 4.0). The abundance of the genus Gardnerella in the non-pregnant group was higher than those in the pregnant group (LDA > 4.0). In phase II, female fecundability increased with higher absolute loads of Lactobacillus gasseri (quartile Q4 vs Q1, FR = 1.71, 95%CI 1.02–2.87) but decreased with higher absolute loads of Fannyhessea vaginae (Q4 vs Q1, FR = 0.62, 95%CI 0.38–1.00). Clustering analysis showed that the vaginal microbiome of type D (characterized by a higher abundance of Lactobacillus iners, a lower abundance of Lactobacillus crispatus and Lactobacillus gassri) was associated with a 55% reduction of fecundability (FR = 0.45, 95%CI 0.26–0.76) compared with type A (featuring three Lactobacillus species, low Gardnerella vaginalis and Fannyhessea vaginae abundance). CONCLUSIONS: This cohort study demonstrated an association between the pre-pregnancy vaginal microbiome and female fecundability. A vaginal microbiome characterized by a higher abundance of L. iners and lower abundances of L. crispatus and L. gasseri appeared to be associated with a lower fecundability. Further research now needs to confirm whether manipulation of the vaginal microenvironment might improve human fecundability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02437-7. |
format | Online Article Text |
id | pubmed-9341075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93410752022-08-02 The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study Hong, Xiang Zhao, Jun Yin, Jiechen Zhao, Fanqi Wang, Wei Ding, Xiaoling Yu, Hong Ma, Xu Wang, Bei BMC Med Research Article BACKGROUND: Although sexually transmitted infections are regarded as the main cause of tubal infertility, the association between the common vaginal microbiome and female fecundability has yet to be determined. The objective of this study was to find convincing evidence relating to the impact of the vaginal bacterial structure on the fecundability of women planning pregnancy. METHODS: We recruited women who took part in the Free Pre-pregnancy Health Examination Project from 13 June 2018 to 31 October 2018 (n = 89, phase I) and from 1 November 2018 to 30 May 2020 (n = 389, phase II). We collected pre-pregnancy vaginal swabs from each subject; then, we followed up each subject to acquire the pregnancy-planning outcome in 1 year. In phase I, 16S rRNA gene sequencing was performed to investigate the vaginal bacterial content between the pregnancy and non-pregnancy groups. These findings were verified in phase II by applying a quantitative real-time polymerase chain reaction for the measurement of the absolute abundance of specific species. Cox models were used to estimate fecundability ratios (FR) for each vaginal microbiome type. RESULTS: In phase I, 59.6% (53/89) of women became pregnant within 1 year. The principal coordinate analysis showed that the pre-pregnancy vaginal microbial community structures of the pregnant and non-pregnant groups were significantly different (PERMANOVA test, R(2) = 0.025, P = 0.049). The abundance of the genus Lactobacillus in the pregnancy group was higher than that of the non-pregnant group (linear discriminant analysis effect size (LDA) > 4.0). The abundance of the genus Gardnerella in the non-pregnant group was higher than those in the pregnant group (LDA > 4.0). In phase II, female fecundability increased with higher absolute loads of Lactobacillus gasseri (quartile Q4 vs Q1, FR = 1.71, 95%CI 1.02–2.87) but decreased with higher absolute loads of Fannyhessea vaginae (Q4 vs Q1, FR = 0.62, 95%CI 0.38–1.00). Clustering analysis showed that the vaginal microbiome of type D (characterized by a higher abundance of Lactobacillus iners, a lower abundance of Lactobacillus crispatus and Lactobacillus gassri) was associated with a 55% reduction of fecundability (FR = 0.45, 95%CI 0.26–0.76) compared with type A (featuring three Lactobacillus species, low Gardnerella vaginalis and Fannyhessea vaginae abundance). CONCLUSIONS: This cohort study demonstrated an association between the pre-pregnancy vaginal microbiome and female fecundability. A vaginal microbiome characterized by a higher abundance of L. iners and lower abundances of L. crispatus and L. gasseri appeared to be associated with a lower fecundability. Further research now needs to confirm whether manipulation of the vaginal microenvironment might improve human fecundability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02437-7. BioMed Central 2022-08-01 /pmc/articles/PMC9341075/ /pubmed/35909180 http://dx.doi.org/10.1186/s12916-022-02437-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Hong, Xiang Zhao, Jun Yin, Jiechen Zhao, Fanqi Wang, Wei Ding, Xiaoling Yu, Hong Ma, Xu Wang, Bei The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study |
title | The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study |
title_full | The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study |
title_fullStr | The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study |
title_full_unstemmed | The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study |
title_short | The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study |
title_sort | association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a chinese pregnancy-planning cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341075/ https://www.ncbi.nlm.nih.gov/pubmed/35909180 http://dx.doi.org/10.1186/s12916-022-02437-7 |
work_keys_str_mv | AT hongxiang theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT zhaojun theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT yinjiechen theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT zhaofanqi theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT wangwei theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT dingxiaoling theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT yuhong theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT maxu theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT wangbei theassociationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT hongxiang associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT zhaojun associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT yinjiechen associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT zhaofanqi associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT wangwei associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT dingxiaoling associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT yuhong associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT maxu associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy AT wangbei associationbetweentheprepregnancyvaginalmicrobiomeandtimetopregnancyachinesepregnancyplanningcohortstudy |