Host factors are associated with vaginal microbiome structure in pregnancy in the ECHO Cohort Consortium

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 23, 2024

Abstract Using pooled vaginal microbiota data from pregnancy cohorts (N = 683 participants) in the Environmental influences on Child Health Outcomes (ECHO) Program, we analyzed 16S rRNA gene amplicon sequences to identify clinical and demographic host factors that associate with structure both within across diverse cohorts. PERMANOVA models, assessed associated community pregnancy, examined whether were conserved populations, tested independent combined effects of state types (CSTs) using multinomial logistic regression models. Demographic social explained a larger amount variation microbiome than factors. After adjustment, lower education, rather self-identified race, remained robust predictor L. iners dominant (CST III) IV) (OR 8.44, 95% CI 4.06–17.6 OR 4.18, 1.88–9.26, respectively). In random forest identified specific taxonomic features factors, particularly urogenital pathogens complications ( Aerococcus christensenii Gardnerella spp.) among other facultative anaerobes key markers instability ). Sociodemographic robustly should be considered as sources human studies.

Language: Английский

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The vaginal immunoproteome for the prediction of spontaneous preterm birth: A retrospective longitudinal study

eLife, Journal Year: 2024, Volume and Issue: 13

Published: June 24, 2024

Preterm birth is the leading cause of neonatal morbidity and mortality worldwide. Most cases preterm occur spontaneously result from labor with intact (spontaneous [sPTL]) or ruptured (preterm prelabor rupture membranes [PPROM]) membranes. The prediction spontaneous (sPTB) remains underpowered due to its syndromic nature dearth independent analyses vaginal host immune response. Thus, we conducted largest longitudinal investigation targeting mediators, referred herein as immunoproteome, in a population at high risk for sPTB. Vaginal swabs were collected across gestation pregnant women who ultimately underwent term birth, sPTL, PPROM. Cytokines, chemokines, growth factors, antimicrobial peptides samples quantified via specific sensitive immunoassays. Predictive models constructed mediator concentrations. Throughout uncomplicated gestation, immunoproteome harbors cytokine network homeostatic profile. Yet, skewed toward pro-inflammatory state experience sPTL Such an inflammatory profile includes increased monocyte chemoattractants, cytokines indicative macrophage T-cell activation, reduced proteins/peptides. has improved predictive value over maternal characteristics alone identifying early (<34 weeks) undergoes changes throughout deviations this shift are associated Furthermore, can be leveraged potential biomarker sPTB, subset sPTB extremely adverse outcomes. This research was by Perinatology Research Branch, Division Obstetrics Maternal-Fetal Medicine, Intramural Research, Eunice Kennedy Shriver National Institute Child Health Human Development, Institutes Health, U.S. Department Services (NICHD/NIH/DHHS) under contract HHSN275201300006C. ALT, KRT, NGL supported Wayne State University Perinatal Initiative Maternal, Health.

Language: Английский

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A new approach to testing mediation of the microbiome at both the community and individual taxon levels

Bioinformatics, Journal Year: 2022, Volume and Issue: 38(12), P. 3173 - 3180

Published: May 2, 2022

Understanding whether and which microbes played a mediating role between an exposure disease outcome are essential for researchers to develop clinical interventions treat the by modulating microbes. Existing methods mediation analysis of microbiome often limited global test community-level or selection without control false discovery rate (FDR). Further, while null hypothesis no at each microbe is composite that consists three types null, most existing as if they were all under same type leading excessive positive results.We propose new approach based on inverse regression regresses data taxon exposure-adjusted outcome. Then, P-values testing coefficients used both community individual levels. This fits nicely into our Linear Decomposition Model (LDM) framework, so method LDM-med, implemented in LDM enjoys features LDM, e.g. allowing arbitrary number taxa be tested simultaneously, supporting continuous, discrete, multivariate exposures outcomes (including survival outcomes), on. Using extensive simulations, we showed LDM-med always preserved FDR had adequate sensitivity; controlled I error compelling power over methods. The flexibility variety analyses illustrated application murine dataset, identified several plausible taxa.Our has been added R package available GitHub https://github.com/yijuanhu/LDM.Supplementary Bioinformatics online.

Language: Английский

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Microbiota dynamics, metabolic and immune interactions in the cervicovaginal environment and their role in spontaneous preterm birth

Frontiers in Immunology, Journal Year: 2023, Volume and Issue: 14

Published: Dec. 22, 2023

Differences in the cervicovaginal microbiota are associated with spontaneous preterm birth (sPTB), a significant cause of infant morbidity and mortality. Although establishing direct causal link between sPTB remains challenging, recent advancements sequencing technologies have facilitated identification microbial markers potentially linked to sPTB. Despite variations findings, recurring observation suggests that is more diverse less stable vaginal across pregnancy trimesters. It hypothesized risk likely be modified via an intricate host-microbe interactions rather than due presence single taxon or broad community state. Nonetheless, lactobacilli dominance generally term outcomes contributes healthy environment through production lactic acid/maintenance low pH excludes other pathogenic microorganisms. Additionally, innate immunity host metabolic microbiota, such as bacteriocins use proteolytic enzymes, exerts profound influence on populations, activities, immune responses. These interplays collectively impact outcomes. This review aims summarize complexity dynamics, associations bacterial vaginosis There also consideration how probiotics may mitigate vaginosis.

Language: Английский

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Microbiota of the Pregnant Mouse: Characterization of the Bacterial Communities in the Oral Cavity, Lung, Intestine, and Vagina through Culture and DNA Sequencing

Microbiology Spectrum, Journal Year: 2022, Volume and Issue: 10(4)

Published: Aug. 2, 2022

Mice are frequently used as animal models for mechanistic studies of infection and obstetrical disease, yet characterization the murine microbiota during pregnancy is lacking. The objective this study was to characterize microbiotas distinct body sites pregnant mouse-vagina, oral cavity, intestine, lung-that harbor microorganisms that could potentially invade amniotic thus leading adverse outcomes. these were characterized through anoxic, hypoxic, oxic culture well 16S rRNA gene sequencing. With exception vagina, cultured each site varied by atmosphere, with greatest diversity in appearing under anoxic conditions. Only cultures vagina comprehensively representative observed direct DNA sequencing samples, primarily due predominance two Rodentibacter strains. Identified pneumotropicus heylii, isolates exhibited patterns similar those Lactobacillus crispatus iners human vagina. Whole-genome strains revealed shared genomic features, including ability degrade glycogen, an abundant polysaccharide In summary, we report site-specific mouse potential ecological parallels humans. Importantly, our findings indicate vaginal mice can be readily cultured, suggesting mock tractably generated maintained experimental manipulation future host vaginal-microbiome interactions. IMPORTANCE widely utilized complications; however, has been neglected. Microorganisms from lung have found intra-amniotic space, where their presence threatens progression gestation. Here, established appropriateness capturing at site. high relative abundance humans, parallels. hypoxic conditions, demonstrating microbial communities test between evaluate relevance structure outcomes, especially preterm birth.

Language: Английский

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