Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing
In China, premature rupture of membranes (PROM) counts as a major pregnancy complication in China and usually results into adverse pregnancy outcomes. We analysed the vagina microbiome composition using 16S rDNA V3–V4 amplicon sequencing technology, in this prospective study of 441 women in their th...
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MDPI AG
2022-07-01
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| Series: | Pathogens |
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| Online Access: | https://www.mdpi.com/2076-0817/11/8/847 |
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| author | Lou Liu Jiale Chen Yu Chen Shiwen Jiang Hanjie Xu Huiying Zhan Yongwei Ren Dexiang Xu Zhengfeng Xu Daozhen Chen |
| author_facet | Lou Liu Jiale Chen Yu Chen Shiwen Jiang Hanjie Xu Huiying Zhan Yongwei Ren Dexiang Xu Zhengfeng Xu Daozhen Chen |
| author_sort | Lou Liu |
| collection | DOAJ |
| description | In China, premature rupture of membranes (PROM) counts as a major pregnancy complication in China and usually results into adverse pregnancy outcomes. We analysed the vagina microbiome composition using 16S rDNA V3–V4 amplicon sequencing technology, in this prospective study of 441 women in their third trimester of pregnancy. We first divided all subjects into PROM and HC (healthy control) groups, in order to investigate the correlation of vagina microbiome composition and the development of PROM. We found that seven pathogens were higher in the PROM group as compared to the HC group with statistical significance. We also split all subjects into three groups based on <i>Lactobacillus</i> abundance-dominant (<i>Lactobacillus</i> > 90%), intermediate (<i>Lactobacillus</i> 30–90%) and depleted (<i>Lactobacillus</i> < 30%) groups, and explored nine pathogenic genera that were higher in the depleted group than the intermediate and dominant groups having statistical significance. Finally, using integrated analysis and logistics regression modelling, we discovered that <i>Lactobacillus</i> (coeff = −0.09, <i>p</i> = 0.04) was linked to the decreased risk of PROM, while <i>Gardnerella</i> (coeff = 0.04, <i>p</i> = 0.02), <i>Prevotella</i> (coeff = 0.11, <i>p</i> = 0.02), <i>Megasphaera</i> (coeff = 0.04, <i>p</i> = 0.01), <i>Ureaplasma</i> (coeff = 0.004, <i>p</i> = 0.01) and <i>Dialister</i> (coeff = 0.001, <i>p</i> = 0.04) were associated with the increased risk of PROM. Further study on how these pathogens interact with vaginal microbiota and the host would result in a better understanding of PROM development. |
| first_indexed | 2024-03-09T03:59:18Z |
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| institution | Directory Open Access Journal |
| issn | 2076-0817 |
| language | English |
| last_indexed | 2024-03-09T03:59:18Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
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| series | Pathogens |
| spelling | doaj.art-3ae71385e76e46bc909ef4fcabaef7e72023-12-03T14:15:15ZengMDPI AGPathogens2076-08172022-07-0111884710.3390/pathogens11080847Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA SequencingLou Liu0Jiale Chen1Yu Chen2Shiwen Jiang3Hanjie Xu4Huiying Zhan5Yongwei Ren6Dexiang Xu7Zhengfeng Xu8Daozhen Chen9Department of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaSchool of Public Health, Anhui Medical University, Hefei 230001, ChinaDepartment of Research Institute for Reproductive Health and Genetic Diseases, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Research Institute for Reproductive Health and Genetic Diseases, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Research Institute for Reproductive Health and Genetic Diseases, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaSchool of Public Health, Anhui Medical University, Hefei 230001, ChinaDepartment of Prenatal Diagnosis, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing 210004, ChinaDepartment of Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, ChinaIn China, premature rupture of membranes (PROM) counts as a major pregnancy complication in China and usually results into adverse pregnancy outcomes. We analysed the vagina microbiome composition using 16S rDNA V3–V4 amplicon sequencing technology, in this prospective study of 441 women in their third trimester of pregnancy. We first divided all subjects into PROM and HC (healthy control) groups, in order to investigate the correlation of vagina microbiome composition and the development of PROM. We found that seven pathogens were higher in the PROM group as compared to the HC group with statistical significance. We also split all subjects into three groups based on <i>Lactobacillus</i> abundance-dominant (<i>Lactobacillus</i> > 90%), intermediate (<i>Lactobacillus</i> 30–90%) and depleted (<i>Lactobacillus</i> < 30%) groups, and explored nine pathogenic genera that were higher in the depleted group than the intermediate and dominant groups having statistical significance. Finally, using integrated analysis and logistics regression modelling, we discovered that <i>Lactobacillus</i> (coeff = −0.09, <i>p</i> = 0.04) was linked to the decreased risk of PROM, while <i>Gardnerella</i> (coeff = 0.04, <i>p</i> = 0.02), <i>Prevotella</i> (coeff = 0.11, <i>p</i> = 0.02), <i>Megasphaera</i> (coeff = 0.04, <i>p</i> = 0.01), <i>Ureaplasma</i> (coeff = 0.004, <i>p</i> = 0.01) and <i>Dialister</i> (coeff = 0.001, <i>p</i> = 0.04) were associated with the increased risk of PROM. Further study on how these pathogens interact with vaginal microbiota and the host would result in a better understanding of PROM development.https://www.mdpi.com/2076-0817/11/8/847premature rupture of membranes16S rDNA sequencingvaginal dysbiosis<i>Lactobacillus</i> |
| spellingShingle | Lou Liu Jiale Chen Yu Chen Shiwen Jiang Hanjie Xu Huiying Zhan Yongwei Ren Dexiang Xu Zhengfeng Xu Daozhen Chen Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing Pathogens premature rupture of membranes 16S rDNA sequencing vaginal dysbiosis <i>Lactobacillus</i> |
| title | Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing |
| title_full | Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing |
| title_fullStr | Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing |
| title_full_unstemmed | Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing |
| title_short | Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing |
| title_sort | characterization of vaginal microbiota in third trimester premature rupture of membranes patients through 16s rdna sequencing |
| topic | premature rupture of membranes 16S rDNA sequencing vaginal dysbiosis <i>Lactobacillus</i> |
| url | https://www.mdpi.com/2076-0817/11/8/847 |
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