Vaginal microbiome during pregnancy
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR670170_1.fastq.gz | Fastqsanger.gz | |||
| ERR670170_2.fastq.gz | Fastqsanger.gz | |||
| ERR670171_1.fastq.gz | Fastqsanger.gz | |||
| ERR670171_2.fastq.gz | Fastqsanger.gz | |||
| ERR670172_1.fastq.gz | Fastqsanger.gz |
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Project description:Clinical treatment protocols for infertility with in vitro fertilization-embryo transfer (IVF-ET) provide a unique opportunity to assess the human vaginal microbiome in defined hormonal milieu. Herein, we have investigated the association of circulating ovarian-derived estradiol (E2) and progesterone (P4) concentrations to the vaginal microbiome. Thirty IVF-ET patients were enrolled in this study, after informed consent. Blood was drawn at four time points during the IVF-ET procedure. In addition, if a pregnancy resulted, blood was drawn at 4-to-6 weeks of gestation. The serum concentrations of E2 and P4 were measured. Vaginal swabs were obtained in different hormonal milieu. Two independent genome-based technologies (and the second assayed in two different ways) were employed to identify the vaginal microbes. The vaginal microbiome underwent a transition with a decrease in E2 (and/or a decrease in P4). Novel bacteria were found in the vagina of 33% of the women undergoing IVF-ET. Our approach has enabled the discovery of novel, previously unidentified bacterial species in the human vagina in different hormonal milieu. While the relationship of hormone concentration and vaginal microbes was found to be complex, the data support a shift in the microbiome of the human vagina during IVF-ET therapy using standard protocols. The data also set the foundation for further studies examining correlations between IVF-ET outcome and the vaginal microbiome within a larger study population.
2011-10-24 | E-MEXP-2958 | biostudies-arrayexpress
Project description:<p>The pregnancy vaginal microbiome contributes to risk of preterm birth, the primary cause of death in children under 5 years of age. Here we describe direct on-swab metabolic profiling by Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) for sample preparation-free characterisation of the cervicovaginal metabolome in two independent pregnancy cohorts (VMET, n = 160; 455 swabs; VMET II, n = 205; 573 swabs). By integrating metataxonomics and immune profiling data from matched samples, we show that specific metabolome signatures can be used to robustly predict simultaneously both the composition of the vaginal microbiome and host inflammatory status. In these patients, vaginal microbiota instability and innate immune activation, as predicted using DESI-MS, associated with preterm birth, including in women receiving cervical cerclage for preterm birth prevention. These findings highlight direct on-swab metabolic profiling by DESI-MS as an innovative approach for preterm birth risk stratification through rapid assessment of vaginal microbiota-host dynamics.</p><p><br></p><p><strong>Linked cross omic data sets:</strong></p><p>Meta-taxonomics data associated with this study are available in the European Nucleotide Archive (ENA): accession number <a href='https://www.ebi.ac.uk/ena/browser/view/PRJEB11895' rel='noopener noreferrer' target='_blank'>PRJEB11895</a>, <a href='https://www.ebi.ac.uk/ena/browser/view/PRJEB12577' rel='noopener noreferrer' target='_blank'>PRJEB12577</a> and <a href='https://www.ebi.ac.uk/ena/browser/view/PRJEB41427' rel='noopener noreferrer' target='_blank'>PRJEB41427</a>.</p>
2021-09-23 | MTBLS717 | MetaboLights
Project description:Vaginal Microbiota Dynamics in Pregnancy
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Project description:Pancreatic β-cell mass expands during pregnancy and regresses in the postpartum period in conjunction with dynamic metabolic demands on maternal glucose homeostasis. To understand transcriptional changes driving these adaptations in β-cells and other islet cell types, we performed single-cell RNA sequencing on islets from virgin, late gestation, and early postpartum mice. We identified transcriptional signatures unique to gestation and the postpartum in β-cells, including induction of the AP-1 transcription factor subunits and other genes involved in the immediate-early response (IEGs). Additionally, we found pregnancy and postpartum-induced changes differed within each endocrine cell type, and in endothelial cells and macrophages within islets. Together, our data reveal novel insights into cell-type specific transcriptional changes responsible for adaptations by islet cells to pregnancy and their resolution postpartum.
2023-03-07 | GSE226788 | GEO
Project description:Effects of HIV and STI on the vaginal microbiome during pregnancy and postpartum
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Project description:<p>The Vaginal Microbiome Consortium team at Virginia Commonwealth University has conducted the Multi-Omic Microbiome Study: Pregnancy Initiative (MOMS-PI) in collaboration with the Global Alliance to Prevent Prematurity and Stillbirth (GAPPS) to better understand how microbiome and host profiles change throughout pregnancy and influence the establishment of the nascent microbiome in neonates. The team particularly focused on elucidation of the role of the microbiome and its components in the etiology of preterm birth, which occurs in over 10% of pregnancies and which is the leading cause of death in neonates. Samples from 1594 women and their neonates were collected throughout pregnancy, at delivery and postpartum. The group has generated a comprehensive dataset of multiple omics technologies. This longitudinal, large-scale effort was designed to provide a large-scale resource for the scientific community. The study also permits characterization of temporal dynamics of the microbiome in pregnancy and factors associated with preterm birth.</p>
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Project description:This study investigates the dynamic alterations in high vaginal fluid (HVF) proteome and its correlation with physiological changes during progression of term pregnancy. The HVF samples were collected at three time points as defined as V1 (6-12 weeks), V2 (18-20 weeks) and V3 (26-28 weeks) and SWATH-MS strategy were applied to profile changes in protein expression at early and middle stage of pregnancy. Using in-house generated HVF-specific protein library, 61 proteins (>1.5 fold at V2/V1 or V3/V1, q-value <0.05) changed as a function of gestational age. The stage-specific expression pattern of these proteins was mainly associated with the biology of cervical remolding, fetal development and microbial defense.
2021-01-29 | PXD014846 | Pride
Project description:This study investigates the dynamic alterations in high vaginal fluid (HVF) proteome and its correlation with physiological changes during progression of term pregnancy. The HVF samples were collected at three time points as defined as V1 (6-12 weeks), V2 (18-20 weeks) and V3 (26-28 weeks) and SWATH-MS strategy were applied to profile changes in protein expression at early and middle stage of pregnancy. Using in-house generated HVF-specific protein library, 61 proteins (>1.5 fold at V2/V1 or V3/V1, q-value <0.05) changed as a function of gestational age. The stage-specific expression pattern of these proteins was mainly associated with the biology of cervical remolding, fetal development and microbial defense.
2021-01-28 | PXD021811 | Pride
Project description:The vaginal microbiome has been shown to be associated with pregnancy outcomes including preterm birth (PTB) risk. Here we present VMAP: Vaginal Microbiome Atlas during Pregnancy (http://vmapapp.org), an application to visualize features of 3,909 vaginal microbiome samples of 1,416 pregnant individuals from 11 studies, aggregated from raw public and newly generated sequences via an open-source tool, MaLiAmPi. Our visualization tool (http://vmapapp.org) includes microbial features such as various measures of diversity, VALENCIA community state types (CST), and composition (via phylotypes and taxonomy). This work serves as a resource for the research community to further analyze and visualize vaginal microbiome data in order to better understand both healthy term pregnancies and those associated with adverse outcomes.
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