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Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing
BACKGROUND: Intrauterine adhesions (IUA) arise from scar tissue formation between the endometrial surfaces in response to mechanical or infectious injuries. However, the potential role of endometrial microbiota in IUA remains unclear. We aimed to explore the composition of endometrial microbiota and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940878/ https://www.ncbi.nlm.nih.gov/pubmed/33708822 http://dx.doi.org/10.21037/atm-20-2813 |
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author | Qiu, Tianmei Liu, Lei Zhou, Hongwei Sheng, Huafang He, Yuanli Liu, Mubiao Cai, Huihua |
author_facet | Qiu, Tianmei Liu, Lei Zhou, Hongwei Sheng, Huafang He, Yuanli Liu, Mubiao Cai, Huihua |
author_sort | Qiu, Tianmei |
collection | PubMed |
description | BACKGROUND: Intrauterine adhesions (IUA) arise from scar tissue formation between the endometrial surfaces in response to mechanical or infectious injuries. However, the potential role of endometrial microbiota in IUA remains unclear. We aimed to explore the composition of endometrial microbiota and its potential role in IUA. METHODS: We retrospectively enrolled 46 patients diagnosed with IUA and 21 infertility patients without intrauterine lesions, as control subjects. All cases were diagnosed with hysteroscopy and endometrial tissues were taken from the intrauterine cavity using a hysteroscopic cutting ring without electricity study. After endometrial samples were collected, DNA was extracted and amplified for barcoded Illumina high-throughput next-generation sequencing targeted to the 16S rRNA V4 region for microbiota. Microbiota data were compared between two groups using α-diversity, β-diversity and Nonmetric Multidimensional Scaling based on Weighted Unifrac distance. RESULTS: At the phyla level, the dominant bacteria included Proteobacteria, Firmicutes, Bacteroidetes and Actinobacteria. Proteobacteria accounted for more than 64.48%. At the genus level, the proportions of Klebsiella, Shewanella, and Lactobacillus were higher in patients with IUA than in non- IUA participants (20.67% and 8.77%, P=0.006, 13.37% and 4.53%, P=0.175, 12.74% and 6.95%, P=0.882; respectively). The proportion of Acinetobacter was significantly lower in patients with IUA than in non- IUA participants (P=0.005). CONCLUSIONS: Endometrial microbiota differ between patients with IUA and infertility patients without intrauterine lesions, and the potential variation of endometrial microbiota might cause IUA. |
format | Online Article Text |
id | pubmed-7940878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-79408782021-03-10 Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing Qiu, Tianmei Liu, Lei Zhou, Hongwei Sheng, Huafang He, Yuanli Liu, Mubiao Cai, Huihua Ann Transl Med Original Article BACKGROUND: Intrauterine adhesions (IUA) arise from scar tissue formation between the endometrial surfaces in response to mechanical or infectious injuries. However, the potential role of endometrial microbiota in IUA remains unclear. We aimed to explore the composition of endometrial microbiota and its potential role in IUA. METHODS: We retrospectively enrolled 46 patients diagnosed with IUA and 21 infertility patients without intrauterine lesions, as control subjects. All cases were diagnosed with hysteroscopy and endometrial tissues were taken from the intrauterine cavity using a hysteroscopic cutting ring without electricity study. After endometrial samples were collected, DNA was extracted and amplified for barcoded Illumina high-throughput next-generation sequencing targeted to the 16S rRNA V4 region for microbiota. Microbiota data were compared between two groups using α-diversity, β-diversity and Nonmetric Multidimensional Scaling based on Weighted Unifrac distance. RESULTS: At the phyla level, the dominant bacteria included Proteobacteria, Firmicutes, Bacteroidetes and Actinobacteria. Proteobacteria accounted for more than 64.48%. At the genus level, the proportions of Klebsiella, Shewanella, and Lactobacillus were higher in patients with IUA than in non- IUA participants (20.67% and 8.77%, P=0.006, 13.37% and 4.53%, P=0.175, 12.74% and 6.95%, P=0.882; respectively). The proportion of Acinetobacter was significantly lower in patients with IUA than in non- IUA participants (P=0.005). CONCLUSIONS: Endometrial microbiota differ between patients with IUA and infertility patients without intrauterine lesions, and the potential variation of endometrial microbiota might cause IUA. AME Publishing Company 2021-02 /pmc/articles/PMC7940878/ /pubmed/33708822 http://dx.doi.org/10.21037/atm-20-2813 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Qiu, Tianmei Liu, Lei Zhou, Hongwei Sheng, Huafang He, Yuanli Liu, Mubiao Cai, Huihua Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
title | Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
title_full | Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
title_fullStr | Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
title_full_unstemmed | Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
title_short | Analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
title_sort | analysis of endometrial microbiota in intrauterine adhesion by high-throughput sequencing |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940878/ https://www.ncbi.nlm.nih.gov/pubmed/33708822 http://dx.doi.org/10.21037/atm-20-2813 |
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