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>
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.
Project description:National screening programs use dried blood specimens to detect abnormal metabolism or aberrant protein function in infants shortly after birth, thus identifying disorders that are not clinically evident in the newborn period. Gut microbiota metabolites and immunological acute phase proteins are capable of revealing potential immune aberrations. Microbial metabolites interact with xenobiotic receptors (i.e., aryl hydrocarbon and pregnane-X) and maintain gastrointestinal tissue health, supported by acute-phase proteins, functioning as sensors of microbial immunomodulation and homeostasis. The delivery mode (vaginal or cesarean section) shapes the microbial colonization, which substantially modulates both the immune system's response and mucosal homeostasis.
This study profiled microbial metabolites of the kynurenine and tryptophan pathway and acute phase proteins in 134 neonatal dried blood specimens. We newly established neonatal blood levels of the aryl hydrocarbon receptor microbial ligands (indole-3-aldehyde, indole-3-butyric acid, and indole-3-acetamide) on the second day of life. Furthermore, we observed divergent microbial metabolic profiles in neonates born vaginally or via cesarean section, hypothesizing potential microbial immunomodulatory influence. In summary, these findings suggest the supportive role of human gut microbiota in developing and maintaining immune system homeostasis.
Project description:Bacterial vaginosis (BV) is characterized by depletion of Lactobacillus and overgrowth of anaerobic and facultative bacteria, leading to increased mucosal inflammation, epithelial disruption, and poor reproductive health outcomes. However, the molecular mediators contributing to vaginal epithelial dysfunction are poorly understood. Here we utilized proteomic, transcriptomic and metabolomic analyses to characterize biological features underlying BV in 405 African women and explored functional mechanisms using bacterial co-culturesin vitro. We identified five major vaginal microbiome groups, (L.crispatus(21%), L.iners(18%), any non-specific Lactobacillus species(9%), Gardnerella species .vaginalis(30%), or polymicrobial(22%)). Using multi-‘omics we show that BV associated epithelial disruption and mucosal inflammation are linked to the mammalian target of rapamycin (mTOR) pathway and associate with Gardnerella.vaginalis, M.mulieris, and specific metabolites including imidazole propionate. Bacterial co-culturesExperiments in vitro confirmed that type strain G.vaginalis and, M.mulieris supernatants and, as well as, and imidazole propionate, directly affect epithelial barrier function and , accompanied by activation of mTOR pathways. These results establish the microbiome-mTOR axis as a central feature of epithelial dysfunction in BV.
Project description:Bacterial vaginosis (BV) is characterized by depletion of Lactobacillus and overgrowth of anaerobic and facultative bacteria, leading to increased mucosal inflammation, epithelial disruption, and poor reproductive health outcomes. However, the molecular mediators contributing to vaginal epithelial dysfunction are poorly understood. Here we utilized proteomic, transcriptomic and metabolomic analyses to characterize biological features underlying BV in 405 African women and explored functional mechanisms using bacterial co-cultures in vitro. We identified five major vaginal microbiome groups, (L.crispatus(21%), L.iners(18%), any non-specific Lactobacillus species(9%), Gardnerella species .vaginalis(30%), or polymicrobial(22%)). Using multi-‘omics we show that BV associated epithelial disruption and mucosal inflammation are linked to the mammalian target of rapamycin (mTOR) pathway and associate with Gardnerella.vaginalis, Mobiluncus mulieris, and specific metabolites including imidazole propionate. Bacterial co-culture experiments in vitro confirmed that type strain G.vaginalis and, M.mulieris supernatants as well as imidazole propionate, directly affect epithelial barrier function and are accompanied by activation of mTOR pathways. These results establish the microbiome-mTOR axis as a central feature of epithelial dysfunction in BV.
Project description:Differentially expressed mRNA transcripts in the placenta delivered by term spontaneous labour compared to those delivered by elective term cesarean section. We hypothesized that the labour process involves changes in mRNA expression in the placenta. To test this hypothesis, we interrogated the mRNA levels of >50,000 genes and transcript variants using gene expression microarray (Human Genome U133 Plus 2.0 Array, Affymetrix) on 5 placentas collected from term spontaneous delivery and another 5 placentas collected from elective term cesarean delivery. To minimize the effect of gestational age on gene expression, these two groups of placentas were matched for their gestational ages at delivery. We have identified 134 and 128 genes that were up- or down-regulated, respectively, for more than 3-fold in the term (spontaneous) labour placentas compared to the term (elective) cesarean placentas (Mann-Whitney Rank Sum Test, p-value <= 0.05 after Benjamini and Hochberg adjustment for multiple testing). Experiment Overall Design: Placentas collected from (i) term spontaeous labour and (ii) elective term cesarean section were subjected to RNA extraction and hybridization on Affymetrix microarrays. To identify gene expression patterns that are commonly involved in term spontaneous labour, we analyzed 5 placentas from each of these 2 groups and tested for any differentially expressed genes by non-parametric statistical methods.