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

被引:0
|
作者
Zhao, Yu [1 ,2 ]
Liao, Yun [1 ,2 ,3 ]
Xu, Gufeng [1 ,2 ]
Wang, Yue [1 ,2 ]
机构
[1] Zhejiang Univ, Womens Hosp, Dept Ambulatory Surg, Sch Med, Hangzhou, Peoples R China
[2] Zhejiang Prov Clin Res Ctr Obstet & Gynecol, Hangzhou, Peoples R China
[3] Zhejiang Univ, Zhejiang Prov Key Lab Precis Diag & Therapy Major, Womens Hosp, Sch Med, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
endometrial polyp; endometrial microbiota; 16S rRNA; biomarker; predictive model; LEIOMYOMAS;
D O I
10.3389/fcimb.2024.1351329
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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).
引用
下载
收藏
页数:13
相关论文
共 50 条
  • [31] Data on the gut and saliva microbiota from a cohort of atherosclerosis patients determined by 16S rRNA gene sequencing
    Gloor, Gregory B.
    Wong, Ruth Grace
    Allen-Vercoe, Emma
    Dinculescu, Vincent
    Pignanelli, Michael
    Bogiatzi, Chrysi
    Reid, Gregor
    Spence, J. David
    DATA IN BRIEF, 2018, 19 : 481 - 485
  • [32] Diversity Analysis of Intestine Microbiota of Yunnan Small Wildlife Mammals Based on 16S rRNA Gene Amplicon Sequencing Technology
    Su, Jia
    He, Kai
    Lian, Chun'ang
    Zhang, Xue
    Yu, Ke
    Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, 2022, 58 (02): : 326 - 336
  • [33] Analysis of microbiota in Hainan Yucha during fermentation by 16S rRNA gene high-throughput sequencing
    Hu, Nan
    Lei, Ming
    Zhao, Xiuli
    Wang, Yuanyifei
    Zhang, Yan
    Wang, Shuo
    JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2020, 44 (07)
  • [34] Evaluation of phoxim toxicity on aquatic and zebrafish intestinal microbiota by metagenomics and 16S rRNA gene sequencing analysis
    Zhang, Jinfeng
    Zhang, Qi
    Zhang, Zhenyan
    Zhou, Zhigao
    Lu, Tao
    Sun, Liwei
    Qian, Haifeng
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (42) : 63017 - 63027
  • [35] The profiling of microbiota in vaginal swab samples using 16S rRNA gene sequencing and IS-pro analysis
    Singer, M.
    Koedooder, R.
    Bos, M. P.
    Poort, L.
    Schoenmakers, S.
    Savelkoul, P. H. M.
    Laven, J. S. E.
    de Jonge, J. D.
    Morre, S. A.
    Budding, A. E.
    BMC MICROBIOLOGY, 2021, 21 (01)
  • [36] Evaluation of phoxim toxicity on aquatic and zebrafish intestinal microbiota by metagenomics and 16S rRNA gene sequencing analysis
    Jinfeng Zhang
    Qi Zhang
    Zhenyan Zhang
    Zhigao Zhou
    Tao Lu
    Liwei Sun
    Haifeng Qian
    Environmental Science and Pollution Research, 2022, 29 : 63017 - 63027
  • [37] The profiling of microbiota in vaginal swab samples using 16S rRNA gene sequencing and IS-pro analysis
    M. Singer
    R. Koedooder
    M. P. Bos
    L. Poort
    S. Schoenmakers
    P. H. M. Savelkoul
    J. S. E. Laven
    J. D. de Jonge
    S. A. Morré
    A. E. Budding
    BMC Microbiology, 21
  • [38] Effects of probiotics and prebiotics on intestinal microbiota in mice with acute colitis based on 16S rRNA gene sequencing
    Wang Ya-Nan
    Meng Xiang-Chen
    Dong Yi-Fan
    Zhao Xin-Hua
    Qian Jia-Ming
    Wang Hong-Ying
    Li Jing-Nan
    中华医学杂志(英文版), 2019, 132 (15) : 1833 - 1842
  • [39] Effects of probiotics and prebiotics on intestinal microbiota in mice with acute colitis based on 16S rRNA gene sequencing
    Wang, Ya-Nan
    Meng, Xiang-Chen
    Dong, Yi-Fan
    Zhao, Xin-Hua
    Qian, Jia-Ming
    Wang, Hong-Ying
    Li, Jing-Nan
    CHINESE MEDICAL JOURNAL, 2019, 132 (15) : 1833 - 1842
  • [40] Gut Microbiota in Children with Hand Foot and Mouth Disease on 16S rRNA Gene Sequencing
    Zhuang, Yan
    Lin, Yiyan
    Sun, Hongxia
    Zhang, Zaiting
    Wang, Tao
    Fan, Rongjun
    Han, Lu
    CURRENT MICROBIOLOGY, 2023, 80 (05)