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The maternal pregnancy microbiome (including genitourinary and gut) has been linked to important pregnancy/birth and later childhood health outcomes. However, such sampling as part of large population cohort studies is logistically and financially challenging. Many countries routinely collect vaginal or vaginal-rectal swabs in late pregnancy for Group B Streptococcus (GBS) screening, but their utility for population-based research is still unclear. As part of planning for the Generation Victoria population-based cohort study beginning in pregnancy, we assessed the utility and reliability of residual clinical GBS vaginal/vaginal-rectal swabs for generating late pregnancy microbiome data. We carried out a two-phased pilot study. Phase one assessed the level of microbial diversity apparent in 'residual' clinical vaginal/vaginal-rectal swabs post clinical testing and storage for 7-10 days at 4 °C (routine clinical practice). Phase two directly assessed the impact of storage time and temperature on the microbial composition of vaginal/vaginal-rectal swabs collected specifically for research purposes. The microbiota composition in the 'residual' clinical swabs aligned with published studies. The 'research' swabs, stored at 4 °C for up to ten days, showed minimal changes in microbiota profile, compared to swabs examined on the day of collection. In contrast, significant variation in diversity was seen in swabs stored at room temperature for up to 48 h. Residual clinical material from swabs collected primarily for GBS screening in late pregnancy represent a reliable and abundant source of material for assessing the late pregnancy maternal microbiome for research purposes. This represents a low-burden opportunity for population-representative pregnancy studies to assess the potential of late pregnancy microbiome for prediction and understanding maternal and child health outcomes.
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http://dx.doi.org/10.1038/s41598-024-70431-5 | DOI Listing |
Clin Nurs Res
September 2025
Xuzhou Medical University, Jiangsu Province, China.
This study aimed to develop and validate a machine learning-based predictive model for assessing the risk of fear of childbirth in pregnant women during late pregnancy. A cross-sectional observational study was conducted from November 2022 to July 2023, involving 406 pregnant women. Six machine learning algorithms, including Lasso-assisted logistic regression (LR), random forest (RF), eXtreme Gradient Boosting (XGB), support vector machine (SVM), Bayesian network (BN), and k-nearest neighbors (KNN), were used to construct the models with 10-fold cross-validation.
View Article and Find Full Text PDFBMJ
September 2025
Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Objective: To determine the effect of a prepregnancy lifestyle intervention on glucose tolerance in people at higher risk of gestational diabetes mellitus.
Design: Single centre randomised controlled trial (BEFORE THE BEGINNING).
Setting: University hospital in Trondheim, Norway.
Purpose: The purpose of this document is to review current methods for cervical ripening and to summarize the effectiveness of these approaches based on appropriately conducted outcomes-based research. This document focuses on cervical ripening in individuals with term, singleton, vertex pregnancies with membranes intact, because this is the population in whom most studies were conducted. For more information on recommended timing of delivery based on maternal, fetal, and obstetric conditions and on labor management, refer to: American College of Obstetricians and Gynecologists (ACOG) Committee Opinion No.
View Article and Find Full Text PDFBiomed Hub
July 2025
Division of Cardiovascular Research, School of Medicine, University of Dundee, Dundee, UK.
Introduction: Micro-RNAs (miRNAs) participate in different biological processes, including fetal hypoxia. In this work, we aimed to evaluate the existence of a miRNA differential expression profile in maternal blood of pregnancies affected with late-onset fetal growth restriction (LO-FGR).
Methods: In a prospective study, a group of 35 fetuses were evaluated with Doppler ultrasound after 36 weeks.
Front Biosci (Landmark Ed)
August 2025
Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, 200011 Shanghai, China.
Preeclampsia (PE) is a serious complication of pregnancy characterized by chronic inflammation and immune dysregulation, which significantly increases the risk of neurodevelopmental disorders in offspring, including the autism spectrum disorder (ASD). This review investigated the potential mechanisms linking PE to ASD, with a particular focus on the role of microglial abnormalities. Epidemiological studies have revealed that prenatal exposure to PE raised the risk of ASD, with affected offspring showing increased odds ratios.
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