Circulating exosomal miRNA profile during term and preterm birth pregnancies – a longitudinal study
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA475497 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The objective of this study was to characterise the changes in the exosomal miRNA concentrations circulating in the maternal plasma between mothers delivering term and preterm neonates, across gestation using a longitudinal study design. A retrospective stratified study design was used to characterize the miRNA content in exosomes present in maternal plasma of term (n=20 per time point) and preterm birth (PTB) (n=10 per time point) across gestation (i.e. first, second and third trimester).
2019-02-12 | GSE115572 | GEO
Project description:Preterm birth, defined as birth <37 weeks of gestation, is a leading cause of infant morbidity and mortality. In the United States, approximately 12% of all births are preterm.1 Despite decades of research, there has been little progress in developing effective interventions to prevent preterm birth. In fact, the rate of preterm birth has increased slightly over the last several decades.2 The ultimate goal of the Genomic and Proteomic Network for Preterm Birth Research (GPN-PBR) is to identify possible biomarkers that could predict the susceptibility to spontaneous preterm birth (SPTB) as well as to shed light on the molecular mechanisms involved in its etiologies. Understanding those mechanisms will help us predict SPTB and may facilitate the introduction of more effective prevention and treatment strategies.
2014-08-28 | PXD001268 | Pride
Project description: Not available
| S-EPMC6394761 | biostudies-literature
Project description:We conducted a prospective cohort study with independent Discovery and Validation cohorts, to formulate predictive biomarkers for Bronchopulmonary Dysplasia in extremely preterm infants. Tracheal aspirate samples were collected at birth from extremely preterm infants. Exosomes were extracted from tracheal aspirates and total RNA was extracted from these exosomes from individual samples. miRNA profiling for all ~ 800 miRNAs was conducted on each sample by nanostring platform. This study found that a distinct airway exosomal miRNA sigrature at birth (decreased miR 876-3p) predicts future development of severe Bronchopulmonary Dysplasia in extremely preterm infants.
2017-12-29 | GSE108604 | GEO
Project description:Placental insufficiency is implicated in spontaneous preterm birth (SPTB). We performed RNA-seq study in male and female placentas from women (African American, self-identified) with SPTB (< 36 weeks gestation) compared to normal pregnancies (≥ 38 weeks gestation) to assess the alterations in gene expression profiles.
2021-08-18 | GSE174415 | GEO
Project description:The aim of this study was to establish the exosomal miRNA profile across gestation in normal and GDM pregnancies and to determine the signaling pathways associated with the changes in the miRNA profile in GDM.
2021-05-24 | GSE114860 | GEO
Project description:Preterm labor (PTL) and preterm premature rupture of membranes (PPROM) lead to severe perinatal morbidity/mortality worldwide. Small extracellular vesicles (sEV) act in cell communication and contain microRNAs that are potential biomarkers for these complications. We aimed to compare the expression, in sEV from peripheral blood, of miRNAs between term and preterm pregnancies.
2022-09-08 | GSE212859 | GEO
Project description:Preterm birth (PTB) is defined as childbirth occurring at less than 37 completed weeks or 259 days of gestation. Premature babies have higher rates of cerebral palsy, sensory deficits, learning disabilities and respiratory illnesses that extend into adulthood. This lifelong morbidity results in high economic and social costs to families and communities. PTB is a syndrome initiated by multiple mechanisms, including infection or inflammation, uteroplacental ischaemia or haemorrhage, uterine overdistension, stress, and other immunologically mediated processes. Identifying and monitoring molecular signals in easily accessible body fluids that can diagnose or predict the risk of preterm labor in pregnant women will reduce or prevent PTBs. A number of studies reported the identification of putative biomarkers for PTB including protein, miRNA and hormone from different body fluids such as serum/plasma, cervical vaginal fluid, saliva and amniotic fluids. These putative biomarkers identified can largely be grouped into three main functional categories: inflammatory related molecules, placenta or fetal derived molecules and stress related molecules. In the past few years next generation sequencing (NGS) has become the major platform for miRNA analysis especially with body fluids. However, studies have shown significant sequence bias among different small RNA library preparation protocols. We have modified the small RNA library construction protocol which greatly reduces the sequence bias and increase miRNA coverage in sample. We also adapted a newly developed size exclusion chromatography (SEC) based EV purification protocol which can provide cleaner EVs compared to other methods. We are using these improved approaches to gain more reliable profile of circulating RNA in body fluid as well as its associated EVs. With these new approaches, we explore the possibility of using specific circulating miRNAs, specifically those encapsulated in EVs, as a noninvasive biomarker for PTB by comparing the miRNA profiles in maternal plasma, EV and EV-depleted plasma between individuals who had a spontaneous preterm birth and uncomplicated pregnancies.
2018-03-19 | GSE106224 | GEO
Project description:Threatened preterm labour (TPTL) is the most common condition that requires hospitalisation during pregnancy. Most of these symptomatic women continue their pregnancies to term while only an estimated 5% will deliver a premature baby within ten days. Peripheral blood leukocytes are exposed to “activating signals” from reproductive tissues and may indicate the impending onset of labour. Objectives: 1) To investigate differential leukocyte gene expression in women with TPTL; and 2) to develop a gene signature to predict preterm birth (PTB) within 48 hours in symptomatic women. Design, Setting and Participants: Women clinically diagnosed with TPTL were recruited. Peripheral blood was obtained at point of admission prior to medical treatments. mRNA was extracted and microarrays (Affymetrix U133 Plus 2.0) were utilised to determine differential gene expressions between women who did (n=48) and did not (n=106) have a preterm delivery within 48 hours of hospital admission. Results: There were 394 significantly differentially expressed genes (FDR<0.05, Limma); 22 out of 30 genes chosen for qRT-PCR validation were differentially expressed (p<0.05). Total 154; 48 delivered within 48 hours of hospital admission; 106 did not deliver within 48 hours
2014-05-15 | E-GEOD-46510 | biostudies-arrayexpress
Project description:Spontaneous preterm birth (sPTB) is a leading cause of maternal and neonatal morbidity and mortality, yet its prevention and early risk stratification are limited. Previous investigations have suggested that vaginal microbes and metabolites may be implicated in sPTB. Here we performed untargeted metabolomics on 232 second-trimester vaginal samples, 80 from pregnancies ending preterm. We find multiple associations between vaginal metabolites and subsequent preterm birth, and propose that several of these metabolites, including diethanolamine and ethyl glucoside, are exogenous. We observe associations between the metabolome and microbiome profiles previously obtained using 16S ribosomal RNA amplicon sequencing, including correlations between bacteria considered suboptimal, such as Gardnerella vaginalis, and metabolites enriched in term pregnancies, such as tyramine. We investigate these associations using metabolic models. We use machine learning models to predict sPTB risk from metabolite levels, weeks to months before birth, with good accuracy (area under receiver operating characteristic curve of 0.78). These models, which we validate using two external cohorts, are more accurate than microbiome-based and maternal covariates-based models (area under receiver operating characteristic curve of 0.55-0.59). Our results demonstrate the potential of vaginal metabolites as early biomarkers of sPTB and highlight exogenous exposures as potential risk factors for prematurity.
2022-11-21 | MTBLS702 | MetaboLights