Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women.
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ABSTRACT:
SUBMITTER: Liang L
PROVIDER: S-EPMC7327522 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Publications
Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women.
Liang Liang L Rasmussen Marie-Louise Hee MH Piening Brian B Shen Xiaotao X Chen Songjie S Röst Hannes H Snyder John K JK Tibshirani Robert R Skotte Line L Lee Norman Cy NC Contrepois Kévin K Feenstra Bjarke B Zackriah Hanyah H Snyder Michael M Melbye Mads M
Cell 20200601 7
Metabolism during pregnancy is a dynamic and precisely programmed process, the failure of which can bring devastating consequences to the mother and fetus. To define a high-resolution temporal profile of metabolites during healthy pregnancy, we analyzed the untargeted metabolome of 784 weekly blood samples from 30 pregnant women. Broad changes and a highly choreographed profile were revealed: 4,995 metabolic features (of 9,651 total), 460 annotated compounds (of 687 total), and 34 human metaboli ...[more]
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Project description:Metabolism during pregnancy is a constantly changing yet precisely programmed process, the failure of which may have devastating consequences for the fetus. To capture in high resolution the sequence of metabolic events underlying the normal human pregnancy, we carried out an untargeted metabolome investigation on 784 weekly blood samples collected from 30 Danish pregnant women. The study revealed extensive metabolome alterations over the course of normal pregnancy: of 9,651 detected metabolic features, 4,995 were significantly changed (FDR < 0.05). Many metabolic changes were timed precisely according to pregnancy progression so that the overall metabolic profile demonstrated a highly choreographed pattern. Using machine-learning methods, we were able to build a linear models with five metabolites (four steroids and one phospholipid) that predicts gestational age with high accuracy (Pearson correlation coefficient, R = 0.95).
2019-08-30 | ST001430 | MetabolomicsWorkbench
Project description:IntroductionThe 2016 US Surgeon General's Report suggests that the use of electronic nicotine delivery systems (ENDS) is a fetal risk factor. However, no previous study has estimated their effect on adverse pregnancy outcomes. We assessed the prevalence of current ENDS use in pregnant women and explored the effect on birth weight and smallness-for-gestational-age (SGA), correcting for misclassification from nondisclosure of smoking status.MethodsWe conducted a cohort study with 248 pregnant women using questionnaire data and biomarkers (salivary cotinine, exhaled carbon monoxide, and hair nicotine). We evaluated the association between birth weight and the risk of SGA by applying multivariate linear and log-binomial regression to reproductive outcome data for 232 participants. Participants who did not disclose their smoking status were excluded from the referent group. Sensitivity analysis corrected for misclassification of smoking/ENDS use status.ResultsThe prevalence of current ENDS use among pregnant women was 6.8% (95% CI: 4.4-10.2%); most of these (75%) were concurrent smokers. Using self-reports, the estimated risk ratio of SGA for ENDS users was nearly two times the risk in the unexposed (RR=1.9, 95% CI: 0.6-5.5), and over three times that for ENDS-only users versus the unexposed (RR=3.1, 95% CI: 0.8-11.7). Excluding from the referent group smokers who did not disclose their smoking status, the risk of SGA for ENDS-only use was 5 times the risk in the unexposed (RR=5.1, 95% CI: 1.1- 22.2), and almost four times for all types of ENDS users (RR=3.8, 95% CI: 1.3-11.2). SGA risk ratios for ENDS users, corrected for misclassification due to self-report, were 6.5-8.5 times that of the unexposed.ConclusionsOur data suggest that ENDS use is associated with an increased risk of SGA.
| S-EPMC6662791 | biostudies-literature
Project description:The composition of the vaginal microbiota is heavily influenced by pregnancy and may factor into pregnancy complications, including spontaneous preterm birth. However, results among studies have been inconsistent due, in part, to variation in sample sizes and ethnicity. Thus, an association between the vaginal microbiota and preterm labor continues to be debated. Yet, before assessing associations between the composition of the vaginal microbiota and preterm labor, a robust and in-depth characterization of the vaginal microbiota throughout pregnancy in the specific study population under investigation is required. Here, we report a large longitudinal study (n = 474 women, 1,862 vaginal samples) of a predominantly African-American cohort-a population that experiences a relatively high rate of pregnancy complications-evaluating associations between individual identity, gestational age, and other maternal characteristics with the composition of the vaginal microbiota throughout gestation resulting in term delivery. The principal factors influencing the composition of the vaginal microbiota in pregnancy are individual identity and gestational age at sampling. Other factors are maternal age, parity, obesity, and self-reported Cannabis use. The general pattern across gestation is for the vaginal microbiota to remain or transition to a state of Lactobacillus dominance. This pattern can be modified by maternal parity and obesity. Regardless, network analyses reveal dynamic associations among specific bacterial taxa within the vaginal ecosystem, which shift throughout the course of pregnancy. This study provides a robust foundational understanding of the vaginal microbiota in pregnancy and sets the stage for further investigation of this microbiota in obstetrical disease. IMPORTANCE There is debate regarding links between the vaginal microbiota and pregnancy complications, especially spontaneous preterm birth. Inconsistencies in results among studies are likely due to differences in sample sizes and cohort ethnicity. Ethnicity is a complicating factor because, although all bacterial taxa commonly inhabiting the vagina are present among all ethnicities, the frequencies of these taxa vary among ethnicities. Therefore, an in-depth characterization of the vaginal microbiota throughout pregnancy in the specific study population under investigation is required prior to evaluating associations between the vaginal microbiota and obstetrical disease. This initial investigation is a large longitudinal study of the vaginal microbiota throughout gestation resulting in a term delivery in a predominantly African-American cohort, a population that experiences disproportionally negative maternal-fetal health outcomes. It establishes the magnitude of associations between maternal characteristics, such as age, parity, body mass index, and self-reported Cannabis use, on the vaginal microbiota in pregnancy.
| S-EPMC10434204 | biostudies-literature
Project description:Knowing the gene expression profiles of drug-metabolizing enzymes and transporters throughout gestation is important for understanding the mechanisms of pregnancy-induced changes in drug pharmacokinetics. In this study, we compared gene expression of drug-metabolizing enzymes and transporters in the maternal liver, kidney, small intestine, and placenta of pregnant mice throughout gestation by microarray analysis. Specifically, we investigated cytochrome P450 (Cyp), UDP-glucuronosyltranserase (Ugt), and sulfotransferase (Sult), as well as ATP-binding cassette (Abc) and solute carrier (Slc) transporters. We found that relatively few Ugt and Sult genes were impacted by pregnancy in maternal tissues and placenta. Cyp1a2, most Cyp2 isoforms, Cyp3a11, and Cyp3a13 in the liver were down-regulated, with the greatest changes occurring on gestation days (gd) 15 and 19 compared to non-pregnant controls (gd 0). However, Cyp2d40, Cyp3a16, Cyp3a41a, Cyp3a41b, and Cyp3a44 in the liver were induced throughout pregnancy. Cyp expression in mid-gestation placenta (gd 10 and 15) was generally greater than that in term placenta (gd 19). There were also notable changes in Abc and Slc transporters. Abcc3 in the liver was down-regulated by 60%, and Abcb1a, Abcc4, and Slco4c1 in the kidney were down-regulated by 30-60% on gd 15 and 19 versus gd 0. Abcc5 in the placenta was induced 3-fold on gd 10 versus gd 15 and 19, whereas Slc22a3 expression in the placenta on gd 10 was 90% lower than that on gd 15 and 19. Overall, this study demonstrates important gestational age-dependent expression of drug-metabolizing enzymes and transporter genes, which may have mechanistic relevance to human pregnancy. Ninety pregnant mice at gestational days 0, 7.5, 10, 15, and 19 (n = 5-6 per gestational age) were used for the maternal liver, kidney, small intestine and placenta. The placentas were collected on gestational days 10, 15, and 19.
2013-10-08 | E-GEOD-41438 | biostudies-arrayexpress
Project description:BackgroundFrequently observed sleep/wake problems among pregnant women need comprehensive evaluation. This study was conducted to clarify the sleep/wake problems among pregnant women without gestational complications during the second and third trimester and the effects of sleep/wake problems on delivery outcomes.MethodsA total of 88 Japanese pregnant women participated in this study. In their second and third trimester, subjective sleep quality, insomnia severity, excessive daytime sleepiness (EDS), and restless legs syndrome/Willis-Ekbom disease (RLS/WED) were assessed using questionnaires; also, sleep disordered breathing (SDB) was screened using a pulse oximeter.ResultsFrom the second to the third trimester, an increasing tendency of sleep/wake problems was observed. During the third trimester, the percentages of women experiencing decreased subjective sleep quality, difficulty maintaining sleep (DMS), EDS, RLS/WED, and 3% oxygen desaturation index (ODI) values ≥5/h were 62.5, 45.5, 48.9, 9.1, and 29.5%, respectively. In a logistic regression analysis for EDS in the third trimester, the adjusted odds ratio (95% confidence interval) of total sleep duration < 6 h, moderate to severe DMS, and 3% ODI values ≥5/h were 3.25 (1.16-9.10), 4.74 (1.60-14.00), and 0.90 (0.28-2.89), respectively. Although short sleep durations, decreased subjective sleep quality, EDS, and SDB did not affect delivery outcomes or the infant's condition, the percentage of women undergoing cesarean sections in the severe insomnia group was significantly higher (p = 0.008).ConclusionsSleep/wake problems were frequent during pregnancy, especially during the third trimester. EDS among pregnant women was associated with shorter sleep durations and DMS rather than SDB. The effect of factors related to insomnia on delivery outcomes should thus be considered a crucial problem among pregnant Japanese women without gestational complications in clinical practice.
| S-EPMC7082997 | biostudies-literature
Project description:Knowing the gene expression profiles of drug-metabolizing enzymes and transporters throughout gestation is important for understanding the mechanisms of pregnancy-induced changes in drug pharmacokinetics. In this study, we compared gene expression of drug-metabolizing enzymes and transporters in the maternal liver, kidney, small intestine, and placenta of pregnant mice throughout gestation by microarray analysis. Specifically, we investigated cytochrome P450 (Cyp), UDP-glucuronosyltranserase (Ugt), and sulfotransferase (Sult), as well as ATP-binding cassette (Abc) and solute carrier (Slc) transporters. We found that relatively few Ugt and Sult genes were impacted by pregnancy in maternal tissues and placenta. Cyp1a2, most Cyp2 isoforms, Cyp3a11, and Cyp3a13 in the liver were down-regulated, with the greatest changes occurring on gestation days (gd) 15 and 19 compared to non-pregnant controls (gd 0). However, Cyp2d40, Cyp3a16, Cyp3a41a, Cyp3a41b, and Cyp3a44 in the liver were induced throughout pregnancy. Cyp expression in mid-gestation placenta (gd 10 and 15) was generally greater than that in term placenta (gd 19). There were also notable changes in Abc and Slc transporters. Abcc3 in the liver was down-regulated by 60%, and Abcb1a, Abcc4, and Slco4c1 in the kidney were down-regulated by 30-60% on gd 15 and 19 versus gd 0. Abcc5 in the placenta was induced 3-fold on gd 10 versus gd 15 and 19, whereas Slc22a3 expression in the placenta on gd 10 was 90% lower than that on gd 15 and 19. Overall, this study demonstrates important gestational age-dependent expression of drug-metabolizing enzymes and transporter genes, which may have mechanistic relevance to human pregnancy.
2013-10-08 | GSE41438 | GEO
Project description:Pregnancy-induced changes in drug pharmacokinetics can be explained by changes in expression of drug-metabolizing enzymes and transporters and/or normal physiology. In this study, we determined gestational age-dependent expression profiles for all metabolic enzyme and transporter genes in the maternal liver, kidney, small intestine, and placenta of pregnant mice by microarray analysis. We specifically examined the expression of genes important for xenobiotic, bile acid, and steroid hormone metabolism and disposition, namely, cytochrome P450s (Cyp), UDP-glucuronosyltranserases (Ugt), sulfotransferases (Sult), and ATP-binding cassette (Abc), solute carrier (Slc), and solute carrier organic anion (Slco) transporters. Few Ugt and Sult genes were affected by pregnancy. Cyp17a1 expression in the maternal liver increased 3- to 10-fold during pregnancy, which was the largest observed change in the maternal tissues. Cyp1a2, most Cyp2 isoforms, Cyp3a11, and Cyp3a13 expression in the liver decreased on gestation days (gd) 15 and 19 compared with nonpregnant controls (gd 0). In contrast, Cyp2d40, Cyp3a16, Cyp3a41a, Cyp3a41b, and Cyp3a44 in the liver were induced throughout pregnancy. In the placenta, Cyp expression on gd 10 and 15 was upregulated compared with gd 19. Notable changes were also observed in Abc and Slc transporters. Abcc3 expression in the liver and Abcb1a, Abcc4, and Slco4c1 expression in the kidney were downregulated on gd 15 and 19. In the placenta, Slc22a3 (Oct3) expression on gd 10 was 90% lower than that on gd 15 and 19. This study demonstrates important gestational age-dependent expression of metabolic enzyme and transporter genes, which may have mechanistic relevance to drug disposition in human pregnancy.
| S-EPMC3558854 | biostudies-literature
Project description:Gestational diabetes mellitus (GDM) is one of the most prevalent obstetric conditions, particularly among women with obesity. Pathways to hyperglycaemia remain obscure and a better understanding of the pathophysiology would facilitate early detection and targeted intervention. Among obese women from the UK Pregnancies Better Eating and Activity Trial (UPBEAT), we aimed to compare metabolic profiles early and mid-pregnancy in women identified as high-risk of developing GDM, stratified by GDM diagnosis. Using a GDM prediction model combining maternal age, mid-arm circumference, systolic blood pressure, glucose, triglycerides and HbA1c, 231 women were identified as being at higher-risk, of whom 119 women developed GDM. Analyte data (nuclear magnetic resonance and conventional) were compared between higher-risk women who developed GDM and those who did not at timepoint 1 (15+0-18+6 weeks) and at timepoint 2 (23+2-30+0 weeks). The adjusted regression analyses revealed some differences in the early second trimester between those who developed GDM and those who did not, including lower adiponectin and glutamine concentrations, and higher C-peptide concentrations (FDR-adjusted p < 0.005, < 0.05, < 0.05 respectively). More differences were evident at the time of GDM diagnosis (timepoint 2) including greater impairment in β-cell function (as assessed by HOMA2-%B), an increase in the glycolysis-intermediate pyruvate (FDR-adjusted p < 0.001, < 0.05 respectively) and differing lipid profiles. The liver function marker γ-glutamyl transferase was higher at both timepoints (FDR-adjusted p < 0.05). This exploratory study underlines the difficulty in early prediction of GDM development in high-risk women but adds to the evidence that among pregnant women with obesity, insulin secretory dysfunction may be an important discriminator for those who develop GDM.
| S-EPMC9612230 | biostudies-literature
Project description:Gestational diabetes mellitus (GDM) is closely related to adverse pregnancy outcomes and other diseases. Early intervention in pregnant women who are at high risk of developing GDM could help prevent adverse health consequences. The study aims to develop a simple model using the stacking ensemble method to predict GDM for women in the first trimester based on easily available factors. We used the data from the Chinese Pregnant Women Cohort Study from July 2017 to November 2018. A total of 6,848 pregnant women in the first trimester were included in the analysis. Logistic regression (LR), random forest (RF), and extreme gradient boosting (XGBoost) were considered as base learners. Optimal feature subsets for each learner were chosen by using recursive feature elimination cross-validation. Then, we built a pipeline to process imbalance data, tune hyperparameters, and evaluate model performance. The learners with the best hyperparameters were employed in the first layer of the proposed stacking method. Their predictions were obtained using optimal feature subsets and served as meta-learner's inputs. Another LR was used as a meta-learner to obtain the final prediction results. Accuracy, specificity, error rate, and other metrics were calculated to evaluate the performance of the models. A paired samples t-test was performed to compare the model performance. In total, 967 (14.12%) women developed GDM. For base learners, the RF model had the highest accuracy (0.638 (95% confidence interval (CI) 0.628-0.648)) and specificity (0.683 (0.669-0.698)) and lowest error rate (0.362 (0.352-0.372)). The stacking method effectively improved the accuracy (0.666 (95% CI 0.663-0.670)) and specificity (0.725 (0.721-0.729)) and decreased the error rate (0.333 (0.330-0.337)). The differences in the performance between the stacking method and RF were statistically significant. Our proposed stacking method based on easily available factors has better performance than other learners such as RF.
| S-EPMC9489389 | biostudies-literature
Project description:In this study, transcriptome sequencing was conducted on placentas obtained from both normal pregnancies and pregnancies with GDM to investigate the molecular mechanisms underlying this condition. Placental tissue samples were immersed in ice-cold phosphate-buffered saline (PBS) to remove blood contamination. Sections with a thickness of 4 µm were cut from the block and stained with Hematoxylin and eosin (HE) staining. The resulting slides were examined and photographed under a light microscope (Olympus).The original sequencing data were subjected to sequencing analysis, resulting in the identification of 935 upregulated genes and 256 downregulated genes. The Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analysis techniques on differential genes uncovered evidence suggesting that the phosphoinositide 3-kinase (PI3K) /Akt signaling pathway may contribute to the pathogenesis of GDM. Subsequent analysis indicated that the expression levels of MMP11, MMP12, MMP14, and MMP15, which are regulated by the PI3K/Akt pathway, were upregulated in the placentas of patients with GDM when compared to those of individuals with normal placental function. Additionally, our investigation into alternative splicing patterns revealed an increase in exon skipping alternative splicing of CSF3R in the placenta of patients with GDM compared to that in the control group.
2024-12-29 | GSE255075 | GEO