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      Endometrial microbiota alteration in female patients with endometrial polyps based on 16S rRNA gene sequencing analysis

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          Abstract

          Introduction

          The potential role of the endometrial microbiota in the pathogenesis of endometrial polyps (EPs) warrants further investigation, given the current landscape of limited and inconclusive research findings. We aimed to explore the microecological characteristics of the uterine cavity in patients with EPs and investigate the potential of endometrial microbiota species as novel biomarkers for identifying EPs.

          Methods

          Endometrial samples were collected from 225 patients who underwent hysteroscopies, of whom 167 had EPs, whereas 58 had non- hyperproliferative endometrium status. The endometrial microbiota was assessed using 16S rRNA gene sequencing. We characterized the endometrial microbiota and identified microbial biomarkers for predicting EPs.

          Results

          The endometrial microbial diversity and composition were significantly different between the EP and control groups. Predictive functional analyses of the endometrial microbiota demonstrated significant alterations in pathways involved in sphingolipid metabolism, steroid hormone biosynthesis, and apoptosis between the two groups. Moreover, a classification model based on endometrial microbial ASV-based biomarkers along with the presence of abnormal uterine bleeding symptoms achieved powerful classification potential in identifying EPs in both the discovery and validation cohorts.

          Conclusion

          Our study indicates a potential association between altered endometrial microbiota and EPs. Endometrial microbiota-based biomarkers may prove valuable for the diagnosis of EPs.

          Clinical trial registration

          Chinese Clinical Trial Registry (ChiCTR2100052746).

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          Most cited references43

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            KEGG: kyoto encyclopedia of genes and genomes.

            M Kanehisa (2000)
            KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2595014Role: Role: Role: Role: Role: Role:
                Journal
                Front Cell Infect Microbiol
                Front Cell Infect Microbiol
                Front. Cell. Infect. Microbiol.
                Frontiers in Cellular and Infection Microbiology
                Frontiers Media S.A.
                2235-2988
                09 April 2024
                2024
                : 14
                : 1351329
                Affiliations
                [1] 1 Department of Ambulatory Surgery, Women’s Hospital School of Medicine Zhejiang University , Hangzhou, China
                [2] 2 Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology , Hangzhou, China
                [3] 3 Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women’s Hospital School of Medicine Zhejiang University , Hangzhou, China
                Author notes

                Edited by: Alessandra Fusco, University of Campania Luigi Vanvitelli, Italy

                Reviewed by: Elizabeth García-Gómez, Instituto Nacional de Perinatología (INPER), Mexico

                Brunella Perfetto, University of Campania Luigi Vanvitelli, Italy

                Lorena Coretti, University of Naples Federico II, Italy

                *Correspondence: Yue Wang, misswangyue@ 123456zju.edu.cn

                †These authors have contributed equally to this work

                Article
                10.3389/fcimb.2024.1351329
                11035718
                38655283
                529a0960-bf1d-4ef0-901e-0100bffa6709
                Copyright © 2024 Zhao, Liao, Xu and Wang

                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.

                History
                : 07 December 2023
                : 11 March 2024
                Page count
                Figures: 5, Tables: 4, Equations: 0, References: 43, Pages: 13, Words: 6973
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the National Natural Science Foundation of China (NSFC grant No. 81802593 to YL), the Zhejiang Medical and Health Science and Technology Program for Young Talents (grant No. 2019RC197 to YL), Fundamental Research Funds for the Central Universities (grant No. K20220025 to YZ), the Natural Science Foundation of Zhejiang Province (grant No. LGF22H040011 to YW), the Chinese Medicine Science and Technology Department-Zhejiang Province Joint Key Project (grant No. GZY-ZJ-KJ-24084 to YW), and the National Health Commission Science Research Fund - Zhejiang Province Major Health and Technology Project (grant No. WKJ-ZJ-2430 to YW) which contributed to the successful completion of the study.
                Categories
                Cellular and Infection Microbiology
                Original Research
                Custom metadata
                Extra-intestinal Microbiome

                Infectious disease & Microbiology
                endometrial polyp,endometrial microbiota,16s rrna,biomarker,predictive model

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