4.7 Article

Association of the Cervical Microbiota With Pregnancy Outcome in a Subfertile Population Undergoing In Vitro Fertilization: A Case-Control Study

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fcimb.2021.654202

Keywords

16S r RNA; IVF (in vitro fertilization); pregnancy; infertility; cervical microbiota

Funding

  1. National Key Research and Development Program of China [2018YFC1004203]
  2. Central Government Special Fund for Local Science and Technology Development [2020JH6/10500006]
  3. Shengjing Freelance Researcher Plan of Shengjing Hospital of China Medical University

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This study investigated the cervical microbiota of IVF patients undergoing embryo transfer and found that in fresh IVF-ET cycles, the clinical pregnancy group showed higher alpha diversity compared to the non-pregnancy group. The presence of Lactobacillus in the cervical microbiota was associated with clinical pregnancy outcomes, indicating that cervical microbiota composition plays a role in assisted reproductive therapy success.
The microorganisms of the reproductive tract have been implicated to affect in vitro fertilization (IVF) outcomes. However, studies on the reproductive tract microbiota of infertile women are limited and the correlation between cervical microbiota and IVF outcome remains elusive. This study aimed to characterize the cervical microbiota of IVF patients undergoing embryo transfer (ET) and assess associations between the cervical microbiota and pregnancy outcomes while exploring the underlying contributing factors. We launched a nested case-control study of 100 patients with two fresh or frozen-thawed cleavage embryos transferred per IVF cycle. Cervical swabs were collected on the day of ET and divided into four groups according to clinical pregnancy outcomes. Variable regions 3 and 4 (V3-V4) of the 16S rRNA gene were amplified and sequenced on the Illumina MiSeq platform. In fresh IVF-ET cycles, the clinical pregnancy group (FP, n = 25) demonstrated higher alpha diversity (P = 0.0078) than the non-pregnancy group (FN, n = 26). Analysis of similarity (ANOSIM) revealed a significant difference in beta diversity between the two groups (R = 0.242, P = 0.001). In frozen-thawed ET cycles, though not significant, similar higher alpha diversity was found in the clinical pregnancy group (TP, n = 27) compared to the non-pregnancy group (TN, n = 22) and ANOSIM analysis showed a significant difference between the two groups (R = 0.062, P = 0.045). For patients in fresh IVF-ET groups, Lactobacillus, Akkermansia, Desulfovibrio, Atopobium, and Gardnerella showed differentially abundance between pregnant and non-pregnant women and they accounted for the largest share of all taxa investigated. Among them, Lactobacillus was negatively correlated with the other genera and positively correlated with serum estradiol levels. Logistic regression analysis suggested that the composition of the cervical microbiota on the day of ET was associated with the clinical pregnancy in fresh IVF-ET cycles (P = 0.030). Our results indicate that cervical microbiota composition has an impact on the outcome of assisted reproductive therapy.

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