CfDNAme allows early prediction of PE
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ABSTRACT:
PROVIDER: EGAS00001007071 | EGA |
REPOSITORIES: EGA
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Project description:Preeclampsia (PE), affecting 2-8% of all pregnancies, is a multiorgan disease and characterized by elevated blood pressure and proteinuria after 20 weeks of gestation. It is a major cause of maternal and perinatal morbidity and mortality worldwide. there are benefits for early intervention however sensitive early deetection biomarkers are not available. With label-free quantitative proteomics we quantified urine proteins in 17 pregnant women sampled at every trimester. three hudnred sixy one proteins were quantified with 2 or more unique peptides and several proteins could classify the preecalmpsia vs healthy vs women at risk.
2022-08-03 | PXD010276 | Pride
Project description:Purpose: Identify differentially expressed genes in placental samples from early-onset (EO) IUGR, EO-PE, as well as pregnancies complicated by both EO-PE and EO-IUGR
2019-06-28 | GSE114691 | GEO
Project description:Purpose: Identify differentially expressed miRNAs in placental samples from early-onset (EO) IUGR, EO-PE, as well as pregnancies complicated by both EO-PE and EO-IUGR
2019-06-28 | GSE114349 | GEO
Project description:To identify potential lncRNAs as early circulating biomarkers for pregnancy-induced hypertension (PIH), including both gestational hypertension (GH) and preeclampsia (PE), we sought to determine the lncRNA expression profiles in the serum of patients with PE before the 20th week of gestation and evaluated the efficacy of lncRNAs for diagnosing PIH before the onset of clinical symptoms. The screening phase assessed lncRNA expression profiles with a human lncRNA microarray in 5 pairs of serum samples (5 PE patients and 5 matched controls).
2021-06-08 | GSE150317 | GEO
Project description:Hypertension in pregnancy is the leading cause of morbidity and mortality in pregnancy, affecting up to 10% of all gestations1. Hypertensive disorders of pregnancy include chronic hypertension, gestational hypertension, eclampsia and pre-eclampsia, all of which increase the risk of complications in both mothers and babies during gestation. Preeclampsia, in particular, is characterised by the new-onset of gestational hypertension in the presence of proteinuria or other organ damage. It affects 5-7% of pregnancies and causes approximately 76,000 maternal deaths and 500,000 foetal deaths worldwide each year2. The classification of preeclampsia has been evolving over the last decade. In 2013, American College of Obstetricians and Gynecologists (ACOG) and International Society for the Study of Hypertension in Pregnancy (ISSHP) in the absence of proteinuria included other symptoms/features including liver dysfunction, thrombocytopenia, cerebrovascular events or foetal growth restriction (FGR) in the diagnosis of preeclampsia 1,3,4. Despite the fact that preeclampsia is a multifactorial and heterogeneous disorder, it is now widely accepted that preeclampsia is stratified depending on the time of onset into: i) early-onset PE (EOPE) manifested before 34 weeks of gestation, and ii) late-onset PE (LOPE) manifested from 34 weeks of gestation. Although EOPE and LOPE share the same diagnostic criteria, these two phenotypes of preeclampsia lead to different outcomes. EOPE is commonly associated with FGR, abnormal uterine artery Doppler often leading to preterm birth and higher risk of post-pregnancy morbidities5,6. On the other hand, LOPE appears to be a less severe disorder, often with normal or slightly increased uterine resistance index and a low rate of FGR6,7. Distinct delineation between EOPE and LOPE is still not well understood, with most patients with preeclampsia presenting elements of both pathologies proposing a clinical spectrum for preeclampsia. The lack of untargeted discovery studies involving ‘omics’ analyses has impeded understanding of the molecular differences between these two phenotypes of preeclampsia. Notably, a study from 20058 utilised a proteomics approach using urine samples from a cohort of pregnant women with EOPE and healthy controls, however the differences between EOPE and LOPE were not elucidated. Another more recent bioinformatics study, identified overlapping pathogenic mechanisms between preeclampsia, hypertension and heart disease but could not stratify between EOPE and LOPE due to underreported of data related to individual phenotypes9. In this study, we conducted an unbiased, comprehensive proteomics investigation using plasma samples collected from patients with EOPE (n=17) and LOPE (n=11), compared with age- and BMI-matched normotensive controls (n=18). The use of plasma samples is able to better reflect the pathogenesis of EOPE and LOPE as systemic conditions centred by widespread endothelial dysfunction.
2023-03-11 | PXD026931 | Pride
Project description:High uterine artery Doppler (UtAD) resistance indices (RI), indicative of poor uterine blood flow, have been shown to be predictive of placental complications of pregnancy such as pre-eclampsia (PE), fetal growth restriction (FGR) and stillbirth. A comparative analysis of gene expression in High vs normal risk pregnancies in placental tissue from first trimester was undertaken. Patients were stratified by their risk of developing placental complications as determined by Doppler resistance indices. High-resistance cases were defined as those with bilateral uterine diastolic notches and a mean RI >95th percentile whilst Normal-resistance cases had a mean RI of <95th percentile. A direct comparison of gene expression in Placental villous tissue obtained folowing terminations at of 9 to 14 weeks gestation.
2015-07-22 | E-MTAB-3265 | biostudies-arrayexpress
Project description:Maternal serum levels of calcyclin and heat shock protein 90 were compared throughout pregnancy from the first trimester till term among women with preeclampsia (PE) and age-matched normotensive pregnant controls (C). Serum samples from two different studies, a nested case-control study embedded in the Rotterdam periconception cohort and the Lepra Study both conducted at the Erasmus MC in Rotterdam. They were collected in the first, second and third trimester of pregnancy in 43 patients with preeclampsia, consisting of 20 early-onset and 23 late-onset preeclampsia, and 46 normotensive pregnant controls. A serum based 2D LC-MS assay on Parallel Reaction Monitoring mode using a high resolution tribrid mass spectrometer was used to quantify both calcyclin and heat shock protein 90.
2018-11-21 | PXD009025 | Pride
Project description:Preeclampsia (PE) is a multi-system disorder that is primarily characterised by new-onset hypertension accompanied by proteinuria during gestation. This disease affects 3-5% of all pregnancies and is one of the leading causes of maternal and perinatal morbidity and mortality. In this work, placental samples were collected from PE and control patients. RNA-seq was performed to identify differences in gene expression. Significantly differentially expressed genes between the PE and control samples included 68 up-regulated and 52 down-regulated genes. This study may provide further insight in the mechanisms of PE and function as preventive, predictive and therapeutic measures.
2020-08-24 | GSE143953 | GEO
Project description:Preeclampsia is one of the leading causes of maternal death worldwide. While the root cause is still unknown, the underlying biology of the disorder is becoming more clear. We recently published a study showing large, significant differences in DNA methylation in 3rd trimester placental samples associated with early-onset preeclampsia (EOPET) compared to controls. In this study, to identify DNA methylation differences associated with preeclampsia that occur early in pregnancy and to further delineate common EOPET-associated differences, we utilized a genetic defect, trisomy 16 (T16), that is predisposing to preeclampsia. We ran T16 placental samples from the 1st trimester (n=5) and 3rd trimester (n=10) against gestational age matched controls on the Illumina Infinium HumanMethylation450 BeadChip. Third trimester samples were from pregnancies with T16 confined to the placenta (confined placental mosaicism 16;CPM16), and consisted of samples that were and were not associated with EOPET (n=5 each). We identified a large number of DNA methylation differences in CPM16 samples compared to controls using stringent criteria (n=2254;False Discovery Rate <0.01, ->0.15). Several of these differences (11%) overlapped differences observed in chromosomally normal EOPET using similarly stringent criteria (FDR<0.01;->0.125). Isolating EOPET-associated probes produced a similar - distribution amongst CPM16 samples, although samples associated with EOPET showed a tendency towards larger DNA methylation differences. We also identified 262 DNA methylation differences between 1st trimester T16 and 1st trimester controls. Of these, 77 overlapped differences seen in 3rd trimester CPM16. Investigating these 77 T16/CPM16 specific DNA methylation differences, we identified three probes near two genes (ARGHEF37 and JUNB) that were also present as EOPET-associated methylation differences. In summary, we identified significant overlapping DNA methylation profiles of placentas with T16 and chromosomally normal placentas associated with EOPET. Specific DNA methylation marks within these profiles may be of future clinical utility in early identification of pregnancies susceptible to EOPET. Bisulfite converted DNA from 5 1st trimester trisomy 16 placentas, 5 chromosomally normal 1st trimester placentas, 10 third trimester placentas from confined placental mosaicism placentas and 10 chromosomally normal 3rd trimester placentas
2014-01-15 | E-GEOD-49343 | biostudies-arrayexpress
Project description:Preeclampsia (PE) and its related diseases is one of the most significant pregnancy complications, occurring at an incidence of 3-5% and is responsible for nearly 40% of premature births delivered before 35 weeks. There is a need to develop strategies for early prediction of patients who will develop PE, in order to establish preventive strategies to reduce the prevalence and severity of the disease and their associated aftereffects. Therefore, a prospective cohort of patients were recruited at three time points during pregnancy for each patient (i.e. 11-14 (early gestational age), 22-24 (middle gestational age) and 32-36 (late gestational age) weeks gestation). A retrospective stratified study design was used to characterize miRNAs in exosomes derived from maternal plasma of normal (n=32 per time point) and PE (n=15 per time point) pregnancies.
2018-01-12 | GSE94721 | GEO