Association of the Cervical Microbiota With Pregnancy Outcome in a Subfertile Population Undergoing In Vitro Fertilization: A Case-Control Study
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Hao X, Li P, Wu S, Tan J
Journal
Frontiers in cellular and infection microbiology
Year
2021
Keywords:
16S r RNA, IVF (in vitro fertilization), cervical microbiota, infertility, pregnancy
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 α diversity (P = 0.0078) than the non-pregnancy group (FN, n = 26). Analysis of similarity (ANOSIM) revealed a significant difference in β diversity between the two groups (R = 0.242, P = 0.001). In frozen-thawed ET cycles, though not significant, similar higher α 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.
Experiment 1
Reviewed Marked as Reviewed by Svetlana up on 2024-6-10
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Cervical mucus Cervix mucus,Cervical mucus,cervical mucus
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Pregnancy Gestation,PREGN,Pregnancies,Pregnancy,pregnancy
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Non-pregnant (FN)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Clinical pregnancy (FP)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Female IVF patients undergoing fresh embryo transfer (ET) who achieved clinical pregnancy
- Group 0 sample size Number of subjects in the control (unexposed) group
- 26
- Group 1 sample size Number of subjects in the case (exposed) group
- 25
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- None
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3-V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- LEfSe
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- No
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2.0
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- increased
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2024-6-10
Source: FIG 4 (A)
Description: Differential abundance and association analysis among the cervical microbiota of the fresh pregnancy group (FP) compared to the non-pregnancy group (FN)
Abundance in Group 1: decreased abundance in Clinical pregnancy (FP)
Revision editor(s): Rahila, Scholastica
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2024-6-10
Source: FIG 4 (A)
Description: Differential abundance and association analysis among the cervical microbiota of the fresh pregnancy group (FP) compared to the non-pregnancy group (FN)
Abundance in Group 1: increased abundance in Clinical pregnancy (FP)
Revision editor(s): Rahila, Scholastica
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