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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Microbial Immunology
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1440232
This article is part of the Research Topic Epigenetics in the microbiome-host crosstalk: from mechanisms to Therapeutics View all 6 articles

Causal associations between gut microbiota and premature rupture of membranes: A two-sample Mendelian Randomization study

Provisionally accepted
Lei Zhang Lei Zhang 1,2Qian Li Qian Li 1,2Jia F. Huang Jia F. Huang 3*Qin Zou Qin Zou 1,2*Hua Zou Hua Zou 1,2Xin Y. Zhang Xin Y. Zhang 1,2*Yan Su Yan Su 1,2*Chun L. Li Chun L. Li 1,2*
  • 1 Department of Clinical Laboratory, Chongqing Health Center for Women and Children, Chongqing, China
  • 2 Department of Clinical Laboratory, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
  • 3 Department of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Gaotan, Chongqing, China

The final, formatted version of the article will be published soon.

    Previous study has indicated a potential link between gut microbiota and maternal pregnancy outcomes. However, the causal relationship between gut microbiota and premature rupture of membranes (PROM) remains a topic of ongoing debate.A two-sample Mendelian Randomization (MR) study was used to investigate the relationship between gut microbiota and PROM. Genetic data on gut microbiota was obtained from the MiBioGen consortium's largest genome-wide association study (GWAS) (n=14,306). Genetic data on PROM (3011 cases and 104247 controls) were sourced from publicly available GWAS data from the Finnish National Biobank FinnGen consortium. Various methods including Inverse variance weighted (IVW), MR-Egger, simple mode, weighted median, and weighted mode were utilized to assess the causal relationship by calculating the odd ratio (OR) value and confidence interval (CI). Sensitivity analyses for quality control were performed using MR-Egger intercept tests, Cochran's Q tests, and leave-one-out analyses. Results: The IVW method revealed that class Mollicutes (IVW, OR=0.773, 95%CI: 0.61-0.981, pval = 0.034), genus Marvinbryantia (IVW, OR=00.736, 95%CI: 0.555-0.977, pval = 0.034), genus Ruminooccaceae UCG003 (IVW, OR=0.734, 95%CI: 0.568-0.947, pval = 0.017) and phylum Tenericutes (IVW, OR=0.773, 95%CI: 0.566-1.067, pval = 0.034) were associated with a reduced risk of PROM, while genus Collinsella (IVW, OR=1.444, 95%CI: 1.028-2.026, pval = 0.034), genus Intestinibacter (IVW, OR=1.304, 95%CI: 1.047-1.623, pval = 0.018) and genus Turicibacter (IVW, OR=1.282, 95%CI: 1.02-1.611, pval = 0.033) increased the risk of PROM. Based on the other four supplementary methods, six gut microbiota may have a potential effect on PROM. Due to the presence of pleiotropy (pval=0.045), genus Lachnoclostridium should be ruled out. No evidence of horizontal pleiotropy or heterogeneity was found in other microbiota (pval >0.05).In this study, we have discovered a causal relationship between the presence of specific probiotics and pathogens in the host and the risk of PROM. The identification of specific gut microbiota associated with PROM through MR studies offers a novel approach to diagnosing and treating this condition, thereby providing a new strategy for clinically preventing PROM.

    Keywords: Gut Microbiota, Premature rupture of membranes, genetic variable, Mendelian randomization, causality

    Received: 29 May 2024; Accepted: 12 Aug 2024.

    Copyright: © 2024 Zhang, Li, Huang, Zou, Zou, Zhang, Su and Li. 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) or licensor 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.

    * Correspondence:
    Jia F. Huang, Department of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Gaotan, Chongqing, China
    Qin Zou, Department of Clinical Laboratory, Chongqing Health Center for Women and Children, Chongqing, China
    Xin Y. Zhang, Department of Clinical Laboratory, Chongqing Health Center for Women and Children, Chongqing, China
    Yan Su, Department of Clinical Laboratory, Chongqing Health Center for Women and Children, Chongqing, China
    Chun L. Li, Department of Clinical Laboratory, Chongqing Health Center for Women and Children, Chongqing, China

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