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Multi-omics analysis of placental metabolomics and transcriptomics datasets reveals comprehensive insights into the pathophysiology of preeclampsia

ABSTRACT: Multi-omics analysis of placental metabolomics and transcriptomics datasets reveals comprehensive insights into the pathophysiology of preeclampsia

PROVIDER: PRJNA1132524 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR29724488_1.fastq.gz	Fastqsanger.gz
	SRR29724488_2.fastq.gz	Fastqsanger.gz
	SRR29724489_1.fastq.gz	Fastqsanger.gz
	SRR29724489_2.fastq.gz	Fastqsanger.gz
	SRR29724490_1.fastq.gz	Fastqsanger.gz

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Multi-omics analysis of placental metabolomics and transcriptomics datasets reveals comprehensive insights into the pathophysiology of preeclampsia

Project description:Preeclampsia, a life-threatening pregnancy complication, remains a major global health concern. Understanding the complex molecular mechanisms underlying this disorder is crucial for improving both diagnostics and therapeutic strategies. In this study, a multi-omics approach based on NMR metabolomics and RNA-seq transcriptomics analyses was conducted to analyze placental tissue samples obtained from patients with preeclampsia and healthy controls. Metabolomics data analysis results indicated alterations in several metabolite levels including lactate, myo-inositol, glutamate, glutamine, valine, leucine, isoleucine, creatinine, alanine, taurine, choline, phosphocholine, glycerophosphocholine, ethanolamine, and dihydroxyacetone. These alterations cause significant disruptions in the Krebs cycle, energy, lipid, and amino acid metabolisms. Concurrently, transcriptomics data analysis identified 10 upregulated and 37 downregulated genes (|log2FC| > 1 and padj < 0.05) in preeclampsia patients. Identified genes were linked to critical roles such as vasoconstriction, angiogenesis, inflammation, hormonal balance, oxidative stress, and collagen integrity. Multi-omics data analysis revealed the association of certain metabolites with several other genes. A gene interaction network formed by these genes resulted in a lower protein-protein interaction enrichment value (p-value < 1e-16) compared to the network formed with the differentially expressed genes (p-value = 0.0183) which suggests the importance of considering multiple omics levels for a comprehensive understanding of the disease.

2024-12-10 | GSE271628 | GEO

Placental Immune alterations in early-onset preeclampsia and late-onset preeclampsia

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

Genome-wide analysis of placental gene expression in severe preterm preeclampsia

Project description:Analysis of genome-wide gene expression in placentas from women with preterm severe preeclampsia, with or without HELLP syndrome, compared to gestational age-matched controls. The hypothesis tested in the present study was that placental transcriptomic changes in preeclampsia are considerably different from controls. The results provide important information on placental transcriptomic changes in preeclampsia.

2018-12-30 | GSE66273 | GEO

GLOBAL ANALYSIS OF CIRCULATING AND PLACENTAL MICRORNA SIGNATURES AND PREECLAMPSIA DEVELOPMENT

Project description:We perform placental microRNA expression profiling to identify potential microRNAs involved in the development and pathogenesis of preeclampsia. microRNA expression profiling for serum was quantified by qPCR and evaluated at 12, 16, and 20 gestational weeks and at the time of preeclampsia diagnosis. Two groups were evaluated using TaqMan Low Density Array plates: a control group with 18 normotensive pregnant women and a preeclampsia group with 16 patients who developed preeclampsia during the follow-up period. The placental microRNA profile was assayed at delivery (7 cases and 7 controls) using the Illumina GAIIx sequencing platform.

2015-06-03 | GSE69452 | GEO

Placental gene expression-based cell type deconvolution: Cell proportions drive preeclampsia gene expression differences

Project description:The placenta mediates adverse pregnancy outcomes, including preeclampsia, characterized by gestational hypertension and proteinuria. Placental cell type heterogeneity in preeclampsia is not well-understood and limits mechanistic interpretation of bulk gene expression measures. We generated single-cell RNA-sequencing samples for integration with existing data to create the largest deconvolution reference of 19 fetal and 8 maternal cell types from placental villous tissue at term. We deconvoluted eight published microarray case-control studies of preeclampsia. Our findings indicate substantial placental cellular heterogeneity in preeclampsia that predict previously observed bulk gene expression differences. Our deconvolution reference lays the groundwork for cellular heterogeneity-aware investigation into placental dysfunction and adverse birth outcomes.

2022-08-22 | GSE182381 | GEO

Placental microarray profiling reveals common mRNA and lncRNA expression patterns in Preeclampsia and Intrauterine Growth Restriction

Project description:Preeclampsia (PE) and Intrauterine Growth Restriction (IUGR) are major contributor of perinatal morbility and mortality, these pregnancy disorders associated with placental ischemia and share many similar pathophysiological features. The aim of this study was to compare the placental gene expression profiles including mRNA and lnRNAs from pregnant women from four study groups; PE, IUGR, PE-IUGR and normal pregnancy (NP). Gene expression microarray analysis was performed on placental tissue obtained at the moment of delivery and results were validated using RTq-PCR. Differential gene expression analysis revealed that the largest transcript variation was observed in the IUGR samples compared to NP (n=461; 314 mRNAs: 252 up-regulated and 62 down-regulated) and 133 lncRNAs: 36 up-regulated and 98 down-regulated). We also detected a group of differentially expressed transcripts shared between the PE and IUGR samples compared to NP (n=39), including 9 lncRNAs with a high correlation degree (P <0.05). Functional enrichment of these shared transcripts showed that cytokine signaling pathways, protein modification and regulation of JAK-STAT cascade are over-represented in both placental ischemic diseases. These findings contribute to the molecular characterization of placental ischemia showing common epigenetic regulation implicated in the pathophysiology of preeclampsia and Intrauterine Growth Restriction

2020-05-31 | GSE147776 | GEO

Placental Editome Profiling Reveals Widespread RNA-Editing Dysregulation in Preeclampsia

Project description:Dysregulated RNA editing is well documented in several diseases such as cancer. The extent to which RNA editing might be involved in diseases originated in the placenta such as preeclampsia remains unknown, because RNA editing has rarely been studied in the placenta. Here, the RNA editome is systematically profiled on placentae from 9 patients with early-onset severe preeclampsia (EOSPE) and 32 normal controls, and a widespread RNA editing dysregulation in EOSPE has been identified. The mis-edited gene set is enriched with known preeclampsia-associated genes and differentially expressed genes in EOSPE. The “RNA editing events” at two microRNA binding sites in 3’-UTR of the LEP mRNA have been generated, which leads to increased expression level of LEP in trophoblast cells. Upregulation of LEP is also observed in the placentae of PE patients. These results suggest that widespread placental RNA editing may be involved in placental development and dysregulation of RNA editing in the placenta may contribute to the pathogenesis of preeclampsia.

2020-04-20 | GSE148241 | GEO

Placental Immune alterations in early-onset preeclampsia and late-onset preeclampsia

Project description:Placental Immune alterations in early-onset preeclampsia and late-onset preeclampsia

| PRJNA787896 | ENA

Placental transcriptome analysis of hypertensive pregnancies identifies distinct gene expression profiles of preeclampsia superimposed on chronic hypertension

Project description:The pathogenesis of preeclampsia superimposed on chronic hypertension is poorly understood relative to preeclampsia occurring in pregnant people without chronic hypertension. Placental transcriptomes in pregnancies complicated by de novo preeclampsia and superimposed preeclampsia have not been previously compared.

2022-05-30 | GSE204835 | GEO

Molecular subphenotyping using placental transcriptomics in early-onset preeclampsia and fetal growth restriction

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

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