The Genetic Basis of Preeclampsia in an Andean Population Adapted to High Altitude
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PROVIDER: EGAS00001004625 | EGA |
REPOSITORIES: EGA
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Project description:For understanding the relationship of preeclampsia and placental methylation,we performed an epigenome-wide association study in a Chinese cohort containing 22 early-onset preeclampsia patients and 20 normal controls. We used Illumina Infinium HumanMethylation450k BeadChip for detecting the methylation level, and used placental genomic DNA as sample. most of the significant CpG sites were hypomethylated in EOPE in the Chinese cohort.
2019-06-30 | GSE125605 | GEO
Project description:Preeclampsia is a heterogeneous and complex disease caused by multiple factors, including heredity and environment. However, the underlying mechanism remains elusive due to diverse races, geography, and other factors. Previous findings have revealed that there is a tendency for preeclampsia to run in families. To define genetic factors associated with preeclampsia, we performed a genome-wide analysis of preeclampsia samples from 10 preeclampsia cases and 10 healthy age- and gravidity-matched normotensive pregnant women. We identified 27 aberrant copy number variations related to preeclampsia, including 22 deletions and 5 duplications. These differential copy number variant regions involved 27 differential genes, including SPATA6L, PPP2R3B, PREX2, IL1RAPL1, OR52N1, OR52N5, CHSY1, DPP6, KRTAP9-7, LPA, NTRK1, BTNL3, TBC1D3F, TBC1D3, LOC440434 , EYA2, APOBEC3A_B, APOBEC3A, APOBEC3B, FHIT, EXT1, PRR14, FBRS, LMF1, MALT1, BCAS1, and MIR4756. These findings suggest that these differential genes may be associated with the pathogenesis of preeclampsia and require further investigation.
2022-01-01 | GSE192614 | GEO
Project description:Background: Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. We want to study the lncRNAs profiles in preeclampsia. Preeclampsia has been observed in patients with molar pregnancy where a fetus is absent demonstrating that the placenta is sufficient to cause the condition. So we analyze the lncRNAs profiles in preeclampsia placentas. In this study, we described the lncRNAs profiles in 6 preeclampsia placentas (T) and 5 matched normal pregnancy placentas (N) tissues by microarray. Methodology/Principal Findings: With abundant and varied probes accounting 33,045 LncRNAs in our microarray, the number of lncRNAs that expressed at a certain level could be detected is 28,443. From the data we found there were 738 lncRNAs that differentially expressed (M-bM-^IM-%1.5 fold-change) among preeclampsia placentas compared with matched controls. Up to 18,063 coding transcripts could be detected in placenta samples through 30,215 coding transcripts probes. Coding-non-coding gene co-expression networks (CNC network) were constructed based on the correlation analysis between the differential expressed lncRNAs and mRNAs. According to the GO-Pathway analysis of differential expressed lncRNAs/mRNAs, we choose three lncRNAs to analyze the relationship between lncRNAs and preeclampsia. LOC391533, LOC284100, CEACAMP8 were evaluated by qPCR in 40 of preeclampsia placentas and 40 of controls. The results showed three lncRNAs were aberrantly expressed in preeclampsia placentas compared with controls. Conclusions/Significance: Our study is the first one to determine genome-wide lncRNAs expression patterns in preeclampsia placenta by microarray. The results displayed that clusters of lncRNAs were aberrantly expressed in preeclampsia placenta compared with controls, which revealed that lncRNAs differentially expressed in preeclampsia placenta may exert a partial or key role in preeclampsia development. Misregulation of LOC391533, LOC284100, CEACAMP8 might be associated with preeclampsia. Taken together, this study may provide potential targets for future treatment of preeclampsia and novel insights into preeclampsia biology. LncRNAs/mRNAs profiles in 6 preeclampsia placentas and 5 matched normal pregnancy placentas tissues by microarray using Arraystar v2.0.
2013-09-12 | E-GEOD-50783 | biostudies-arrayexpress
Project description:Preeclampsia is a severe placenta-related pregnancy disorder that is generally divided into two subtypes named early-onset preeclampsia (onset <34 weeks of gestation), and lateonset preeclampsia (onset ≥34 weeks of gestation), with distinct pathophysiological origins. Both forms of preeclampsia have been associated with maternal systemic inflammation. However, alterations in the placental immune system have been less well characterized. Here, we studied immunological alterations in early- and late-onset preeclampsia placentas using a targeted expression profile approach. RNA was extracted from snap-frozen placenta samples (healthy n=13, early-onset preeclampsia n=13, and late-onset preeclampsia n=6). The expression of 730 immune-related genes from the Pan Cancer Immune Profiling Panel was measured, and the data were analyzed Q10 in the advanced analysis module of nSolver software (NanoString Technology). The results showed that early-onset preeclampsia placentas displayed reduced expression of complement, and toll-like receptor (TLR) associated genes, specifically TLR1 and TLR4. Mast cells and M2 macrophages were also decreased in early-onset preeclampsia compared to healthy pl acentas. The findings were confirmed by an immunohistochemistry approach using 20 healthy, 19 early-onset preeclampsia, and 10 late-onset preeclampsia placentas. We conclude that the placental innate immune system is altered in early-onset preeclampsia compared to uncomplicated pregnancies. The absence of these alterations in late-onset preeclampsia placentas indicates dissimilar immunological profiles. The study revealed distinct pathophysiological processes in earlyonset and late-onset preeclampsia placentas and imply that a tailored treatment to each subtype is desirable.
2021-12-13 | GSE190639 | GEO
Project description:Ethiopia indigenous chicken breeds are typically divided into low and high altitude chicken breeds. Firstly, representative city of low altitude such as Awash is an altitude of around 950 meters above sea level and have a climate which is humidity and high temperature with 37℃ between May and June. Secondly, representative city of high altitude such as Addis Ababa is the capital of Ethiopia in eastern Africa and this city is an altitude of over 2,400 meters above sea level and has a climate which is generally comparable with the average annual temperature of around 16℃. These chicken breeds are adapted to the environmental (climate, temperature and altitude) on the city. Moreover, in Awash, chicken breed is more adapted to heat resistance. So we generated RNA sequencing (RNA-seq) data of Ethiopia indigenous chicken breeds such as low altitude chicken breed (adapted heat) and high altitude chicken breed (Non-adapted heat) to compare the gene expression profiling induced by heat stress (HS). Therefore, we identified 13 hub differentially expressed genes (DEGs) using cuffdiff within cufflinks, which validated by real-time quantitative-PCR (qRT-PCR) in Kenya chicken breed for biological and technical validation. These hub DEGs were subjected to pathway enrichment, protein/protein interaction, and the partial correlation coefficient with information theory (PCIT) to determine their involvement in heat stress and immune response. Our findings suggest that not only hub DEGs but also many others DEGs may play a role in heat stress and immune response.
2018-09-13 | GSE119387 | GEO
Project description:Background: Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. We want to study the lncRNAs profiles in preeclampsia. Preeclampsia has been observed in patients with molar pregnancy where a fetus is absent demonstrating that the placenta is sufficient to cause the condition. So we analyze the lncRNAs profiles in preeclampsia placentas. In this study, we described the lncRNAs profiles in 6 preeclampsia placentas (T) and 5 matched normal pregnancy placentas (N) tissues by microarray. Methodology/Principal Findings: With abundant and varied probes accounting 33,045 LncRNAs in our microarray, the number of lncRNAs that expressed at a certain level could be detected is 28,443. From the data we found there were 738 lncRNAs that differentially expressed (≥1.5 fold-change) among preeclampsia placentas compared with matched controls. Up to 18,063 coding transcripts could be detected in placenta samples through 30,215 coding transcripts probes. Coding-non-coding gene co-expression networks (CNC network) were constructed based on the correlation analysis between the differential expressed lncRNAs and mRNAs. According to the GO-Pathway analysis of differential expressed lncRNAs/mRNAs, we choose three lncRNAs to analyze the relationship between lncRNAs and preeclampsia. LOC391533, LOC284100, CEACAMP8 were evaluated by qPCR in 40 of preeclampsia placentas and 40 of controls. The results showed three lncRNAs were aberrantly expressed in preeclampsia placentas compared with controls. Conclusions/Significance: Our study is the first one to determine genome-wide lncRNAs expression patterns in preeclampsia placenta by microarray. The results displayed that clusters of lncRNAs were aberrantly expressed in preeclampsia placenta compared with controls, which revealed that lncRNAs differentially expressed in preeclampsia placenta may exert a partial or key role in preeclampsia development. Misregulation of LOC391533, LOC284100, CEACAMP8 might be associated with preeclampsia. Taken together, this study may provide potential targets for future treatment of preeclampsia and novel insights into preeclampsia biology.
2013-09-12 | GSE50783 | GEO
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: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:We investigated the DNA methylation and gene expression of 20 chorionic villi samples from early onset preeclampsia placentas to 20 gestational age matched controls. From this we were able to see a widespread disregulation in DNA methylation across a subset of genes in the genome. This may help to elucidate the underlying biological problems that lead to early onset preeclampsia. We noted that there were DNA methylation changes in many genes of importance as well as in different genomic elements such as enhancers. RNA from 8 Early Onset Preeclampsia placentas and 8 gestational age matched controls
2013-06-21 | E-GEOD-44711 | biostudies-arrayexpress
Project description:Preeclampsia complicates more than 3% of all pregnancies in the United States and Europe. High-risk populations include women with diabetes, dyslipidemia, thrombotic disorders, hyperhomocysteinemia, hypertension, renal diseases, previous preeclampsia, twin pregnancies, and low socioeconomic status. In the latter case, the incidence may increase to 20% to 25%. Preeclampsia is a major cause of maternal and fetal morbidity and mortality. Preeclampsia is defined by systolic blood pressure of more than 140 mm Hg and diastolic blood pressure of more than 90 mm Hg after 20 weeks gestation in a previously normotensive patient, and new-onset proteinuria. Abnormal placentation associated with shallow trophoblast invasion (fetal cells from outer cell layer of the blastocyst) into endometrium (decidua) and improper spiral artery remodeling in the decidua are initial pathological steps. In this study we analyzed the renin-angiotensin system in adipose tissue, decidua and placenta from women with uneventful pregnancy and women with preeclampsia. We also analyzed the tissue by Affymetrix chips in a comparison study (control vs. preeclampsia) Experiment Overall Design: 6 affymetrix human expression chips (GPL570) were analyzed. Experiment Overall Design: They represent 3 tissues (pooled from 10 individuals each) from patients with preeclampsia and from patients with uneventful pregnancy (collected by cesaraen section). Tissues from patients with uneventful pregnancy are the controls in comparison to tissues of patients with preeclampsia.
2008-06-14 | E-GEOD-6573 | biostudies-arrayexpress