Spatial transcriptome analysis for placental tissue of preeclampsia
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE266604 | GEO | 2025/11/25
REPOSITORIES: GEO
Similar Datasets
Project description:Preeclampsia (PE) is a common pregnancy disorder, and it complicates 5~7% of all pregnancies. At present, termination of pregnancy is the only curative strategy for PE. To explore a potential target for PE treatment, we collected placental tissue samples from patients with preeclampsia (PE) and normal pregnant women (N), and performed high-throughput RNA sequencing. We found that FOXP2 was significantly downregulated in placental samples of patients with PE compared with the controls.
2024-11-06 | GSE279757 | GEO
Project description:Preeclampsia (PE) is a multisystem pregnancy complication constituting a major cause of maternal and fetal morbidity and mortality. Factors pointing to a placental origin are the development of the pathology only during pregnancy, and its disappearance in the post-partum period. Our study identified a specific signature of PE including five Gene Ontology clusters including "angiogenesis and differentiation", "cell cycle”, "cell adhesion", "inflammatory response" and "cellular metabolism". Interestingly, we identified DUSP1 as a biomarker of interest in PE. Pregnant women with PE have a higher concentration of DUSP1 in serum in the first trimester of pregnancy compared to healthy donors. Interesting, at a distance from childbirth DUSP1 finds a rate like the control group showing the predictive interest of DUSP1 as a predictive biomarker of PE
2024-03-26 | GSE262147 | GEO
Project description:Fibrosis are known as one of the characteristic pathological findings of placenta in preeclampsia (PE). The mechanism underlying tissue injury when placental stroma is exposed to hypoxia and inflammatory stimulation is unclear. We focused on the relationship between pathogenesis of PE and placental fibrosis, and investigated the changes of fibrosis related factors (FRFs) in placental stroma. The mRNA levels of fibrosis related factors in PE were higher than those in normal pregnancy (NP). Those under hypoxia and by TGF-β stimulation were more prominent in PE compared with NP. The contraction rate of PE had significantly higher than that of NP. The significant elevation of plasma level of TGF-β in PE was indicated compared with those in NP.
2017-05-18 | GSE99007 | GEO
Project description:Placental disorders contribute to pregnancy complications including preeclampsia (PE) and fetal growth restriction (FGR), but debate regarding their specific pathobiology persists. Our objective was to apply transcriptomics with weighted gene correlation network analysis (WGCNA) to further clarify the placental dysfunction in these conditions.
2023-08-25 | GSE203507 | GEO
Project description:Background: Preeclampsia (PE) is a placental disease characterized by hypertension and proteinuria in pregnant women, which is associated with a high maternal and infantile morbidity. However, circulating biomarkers able to predict the prognosis of PE are lacking. Methods: Thirty-eight women were included in the study. They consisted of 19 patients with PE (13 with severe PE and 6 women with non-severe PE) and 19 gestational age-matched normal pregnancy controls. We measured coagulation pathway, endothelial responses and microparticle release and circulating gene expression in PE patient groups and normotensive controls. Results: The measurement of markers associated with coagulation pathway, endothelial activation and circulating microparticles enabled to discriminate PE from normal pregnancy but were not sufficient to distinguish severe from non-severe PE. PE patients also exhibited a specific transcriptional program distinct from that of control women and subtle differences were observed between severe and non-severe PE. Functional annotation of the up-modulated signature in PE highlighted two main functions related to ribosome and complement. Importantly, we found that 8 genes were specifically up-modulated in severe preeclampsia. Among these genes, the expression of VSIG4 was significantly increased in patients with severe preeclampsia in comparison with controls and patients with non-severe preeclampsia. Conclusion: Using transcriptional signatures of blood samples, we identified the gene encoding the estrogen receptor as a potential diagnostic marker of severe preeclampsia. In addition, the determination of this gene may improve the prognostic assessment of severe preeclampsia. Thirty-eight women were included in the study: 19 patients with PE, including 6 women with non-severe PE and 13 with severe PE, and 19 women with normal pregnancy (NP) selected according to age, weight, smoking status, race, gestational age at the inclusion, and blood pH (Table 1 of manuscript). Women with NP had no history of medical illness or medication, and received routing prenatal care. The diagnostic of PE was based on a blood pressure of M-bM-^IM-% 140/90 mmHg taken twice, uricemia above normal laboratory range (120-420 M-BM-5mol/L), and proteinuria higher than 300 mg in a 24 hour-collection, occurring after 20 gestational weeks in previously normotensive women (Table 2). The criteria used to define severe PE included one of the following conditions: a blood pressure higher than 160/110 mmHg, a proteinuria higher than 1500 mg/24h), a multisystem disorder, maternal cerebral symptoms (seizures, stroke) or intrauterine growth restriction below the 3M-BM-0 percentile. Women with multiple gestations, fetal congenital malformations/chromosomal abnormalities, recent infection, antiphospholipid antibodies, trauma, drug or alcohol abuse during pregnancy, preexisting hypertension, thrombophilia with PE history, or women receiving anticoagulant or antiaggregation therapy were excluded from the study. Two microarrays (one non-severe PE and one normal) were discarded from the analysis for technical reasons. Thus, only 36 microarrays are included here.
2014-05-14 | E-GEOD-48424 | biostudies-arrayexpress
Project description:Background: Preeclampsia (PE) is a placental disease characterized by hypertension and proteinuria in pregnant women, which is associated with a high maternal and infantile morbidity. However, circulating biomarkers able to predict the prognosis of PE are lacking. Methods: Thirty-eight women were included in the study. They consisted of 19 patients with PE (13 with severe PE and 6 women with non-severe PE) and 19 gestational age-matched normal pregnancy controls. We measured coagulation pathway, endothelial responses and microparticle release and circulating gene expression in PE patient groups and normotensive controls. Results: The measurement of markers associated with coagulation pathway, endothelial activation and circulating microparticles enabled to discriminate PE from normal pregnancy but were not sufficient to distinguish severe from non-severe PE. PE patients also exhibited a specific transcriptional program distinct from that of control women and subtle differences were observed between severe and non-severe PE. Functional annotation of the up-modulated signature in PE highlighted two main functions related to ribosome and complement. Importantly, we found that 8 genes were specifically up-modulated in severe preeclampsia. Among these genes, the expression of VSIG4 was significantly increased in patients with severe preeclampsia in comparison with controls and patients with non-severe preeclampsia. Conclusion: Using transcriptional signatures of blood samples, we identified the gene encoding the estrogen receptor as a potential diagnostic marker of severe preeclampsia. In addition, the determination of this gene may improve the prognostic assessment of severe preeclampsia.
2014-05-14 | GSE48424 | GEO
Project description:We have demonstrated that the etiology of preeclampsia (PE) is associated with protein aggregation, a pathologic paradigm observed in neurodegenerative diseases, and that impaired autophagy contributes to accumulation of protein aggregates. In search of therapeutic options for preeclampsia that inhibit protein aggregation and restore autophagy, we screened several small molecules and identified a class of disaccharides that may prove to be highly efficacious to treat and prevent this severe pregnancy complication. We used the human serum-based humanized PE mouse model to assess the effect of disaccharides on the onset of the syndrome. Mice were i.p. injected with vehicle, disaccharides (2g/kg) at gd9, gd11, and gd14. At gd17, urine was collected, blood pressure was measured, fetal weight was recorded, and placenta was collected and subjected to immunostaining and RNA sequencing. Trehalose and Lactotrehalose inhibited hypoxia-induced accumulation of aggregates and restored impaired autophagy-lysosomal machinery. Disaccharide administration significantly restored normal pregnancy features in PE mice as characterized by normalization of hypertension, proteinuria, growth restriction, and kidney injury. RNA-seq analysis identified some novel genes and pathways that are related to preeclampsia and normalized by disaccharides.
2023-11-01 | GSE202129 | GEO
Project description:Preeclampsia (PE) is a severe pregnancy complication that threatens maternal and neonatal health and well-being. Previous studies on epigenome-wide association analysis (EWAS) of preeclampsia produced inconsistent results, and one possible explanation is their failure to rigorously adjust for confounders. Here, we calculated the DNA methylation change in cord blood from newborns affected by preeclampsia, using a multi-ethnic cohort from Hawaii populations. We comprehensively adjusted confounders from clinical variables such as maternal age, BMI, parity and estimated the cell proportions, in hope of resolving the conflicting results of preeclampsia’s impact on babies epigenetic-wide profile.We showed that after adjusting cell type proportions and patient clinical characteristics, most of the so-called significant CpG methylation changes associated with severe PE disappear. Rather, the major effect of severe PE on cord blood is through the proportion changes in CD8T and natural killer (NK) cell types. We validated such a lack of CpG methylation changes, using multiple previously published cord blood DNA methylation datasets. Moreover, we found that in additional to severe PE, gestation progression is accompanied by significant proportion changes in several cell types, such as granulocyte, nRBC, CD8T, and B cells. In summary, our study shows that the previously reported significantly differentially methylated patterns are actually artifacts due to confounding of cell type heterogeneity and clinical factors such as gestational age. Severe preeclampsia is not associated with significant DNA methylation changes but cell proportion changes. This finding alerting the scientific rigor needed in EWAS.
2025-12-05 | GSE299721 | GEO
Project description:Bronchopulmonary dysplasia (BPD) continues to impact the health of preterm infants worldwide. Preeclampsia (PE), a placental-driven pregnancy disorder, has a strong clinical association with BPD risk. We hypothesize that preeclampsia causes a unique type of developmental lung injury that predisposes infants to an increased risk of BPD. Research on human placental tissues is needed to more clearly define the role of PE in developmental lung injury. A new approach to human placental analysis is spatial transcriptomics (Sp-Tr), a technique which produces spatially oriented gene expression data from cells in their native tissue environment.
2024-12-31 | GSE249899 | GEO
Project description:Preeclampsia (PE) is a complex, heterogeneous disorder of pregnancy, demonstrating considerable variability in observed maternal symptoms and fetal outcomes. We recently identified five clusters of placentas within a large gene expression microarray dataset (N=330, GSE75010), of which four contained a substantial number of PE samples. However, while transcriptional analysis of placentas can subtype patients, we hypothesized that the addition of epigenetic information should reveal gene regulatory mechanisms behind the distinct PE pathologies. We, therefore, subjected 48 of our samples to Infinium Human Methylation 450K arrays and investigated relationships between the gene expression and DNA methylation data.
2018-03-07 | GSE98224 | GEO