Preterm birth (PTB) is the largest contributor to infant death in sub-Saharan Africa and globally. With a global estimate of 773,600, Nigeria has the third highest rate of PTB worldwide. There have been a number of microbiome profiling studies to identify vaginal microbiomes suggestive of preterm and healthy birth outcome. However, studies on the pregnancy vaginal microbiome in Africa are sparse with none performed in Nigeria. Moreover, few studies have considered the concurrent impact of steroid hormones and the vaginal microbiome on pregnancy outcome. We assessed two key determinants of pregnancy progression to gain a deeper understanding of the interactions between vaginal microbiome composition, steroid hormone concentrations, and pregnancy outcome. Vaginal swabs and blood samples were prospectively collected from healthy midtrimester pregnant women. Vaginal microbiome compositions were assessed by analysis of the V3-V5 region of 16S rRNA genes, and potential functional metabolic traits of identified vaginal microbiomes were imputed by PICRUSt (phylogenetic investigation of communities by reconstruction of unobserved states) analysis, while plasma estradiol (E2) and progesterone (P1) levels were quantified by the competitive enzyme-linked immunosorbent assay (ELISA). PTB vaginal samples were characterized by increased microbial richness, high diversity, and depletion of lactobacilli compared to term delivery samples. Women who delivered preterm were characterized by an -dominated vagitype. High relative abundance of at the midtrimester was highly predictive of PTB (area under the receiving operator characteristics [AUROC] of 0.983). There was a marked overlap in the range of plasma E2 and P1 values between term and PTB groups. Giving birth too soon accounts for half of all newborn deaths worldwide. Clinical symptoms alone are not sufficient to identify women at risk of giving birth too early, as such a pragmatic approach to reducing the incidence of preterm birth entails developing early strategies for intervention before it materializes. In view of the role played by the vaginal microbiome and maternal steroid hormones in determining obstetric outcome, we assessed the vaginal microbiome composition and steroid hormone during pregnancy and examined their relationship in predicting preterm birth risk in Nigerian women. This study highlights a potential early-driver microbial marker for prediction of preterm birth risk and supports the notion that vaginal microbiome composition varies across populations. A knowledge of relevant preterm birth microbial markers specific to populations would enhance the development of personalized therapeutic interventions toward restoring a microbiome that optimizes reproductive health fitness, therefore reducing the incidence of preterm birth.
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http://dx.doi.org/10.1128/mSphere.01261-20 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Genetic Program, North York General Hospital, Toronto, ON, Canada.
Background: Preeclampsia significantly impacts maternal and perinatal health. Early screening using advanced models and primary prevention with low-dose acetylsalicylic acid for high-risk populations is crucial to reduce the disease's incidence. This study assesses the feasibility of implementing preterm preeclampsia screening and prevention by leveraging information from our current aneuploidy screening program in a real-world setting with geographic separation clinical site and laboratory analysis site.
View Article and Find Full Text PDFAm J Obstet Gynecol MFM
January 2025
Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, VA, United States. Electronic address:
Background: Limited research exists on the association between preconception pro-inflammatory diets and adverse pregnancy outcomes, and this relationship remains poorly understood.
Objective: To investigate the association between preconception dietary inflammatory potential, as measured by the Dietary Inflammatory Index (DII), and adverse pregnancy outcomes in nulliparous individuals.
Methods: This was a secondary analysis of the data from the Nulliparous Outcomes Study: Mothers-to-be (nuMoM2b).
Pediatrics
January 2025
Division of Neonatology, Department of Pediatrics, McMaster University, Hamilton, ON, Canada.
Context: Extubation failure (EF) is common in preterm neonates and may be associated with adverse outcomes.
Objective: To systematically review and meta-analyze the existing literature on predictors and outcomes of EF in preterm neonates.
Data Sources: MEDLINE, Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Embase (OvidSP), CINAHL (EBSCOHost), and Cochrane Library (Wiley) from 1995 onward.
Early Hum Dev
January 2025
Department of Women and Children's Health, St Thomas' Hospital, King's College London, London, UK; Department of Perinatal Imaging, St Thomas' Hospital, King's College London, London, UK.
Objectives: The aim of this study was to utilise T2* relaxometry (an indirect method of quantifying tissue oxygenation) to assess the fetal thymus in uncomplicated pregnancies throughout gestation and in a cohort of fetuses that subsequently deliver very preterm.
Methods: A control group of participants with low-risk pregnancies were recruited and retrospectively excluded if they developed any pregnancy related complications after scanning. Participants were recruited who were deemed to be at very high risk of delivery prior to 32 weeks' gestation and retrospectively excluded if they did not deliver prior to this gestation.
Matern Child Health J
January 2025
Office of the Director, Office of Readiness and Response, CDC, Atlanta, GA, USA.
Objectives: This study aimed to estimate the prevalence of homelessness shortly before or during pregnancy and describe differences in maternal characteristics and adverse birth outcomes between people reporting homelessness and not reporting homelessness.
Methods: We used 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) data from 31 sites to estimate the prevalence of self-reported homelessness during the 12 months before giving birth. We used logistic regression models to evaluate the association between homelessness and adverse birth outcomes, specifically small for gestational age (SGA), low birth weight (LBW), and preterm birth (PTB).
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