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Integrated analysis of the transcriptome-wide m6A methylome in preeclampsia and healthy control placentas

ABSTRACT: N6-methyladenosine (m6A) is the most prevalent modification in eukaryotic mRNA and potential regulatory functions of m6A have been shown by mapping the RNA m6A modification landscape. M6A modification in active gene regulation manifests itself as altered methylation profiles. However, the profiling of m6A modification and its potential role in preeclampsia (PE) has not yet been studied. In this work, placental samples were collected from PE and control patients. MeRIP-seq was performed to identify differences in m6A methylatio. Altered peaks of m6A-modified transcripts were primarily associated with nitrogen compound metabolic process, positive regulation of vascular-associated smooth muscle cell migration, and endoplasmic reticulum organisation. The m6A hyper-methylated genes of Wnt/β-catenin signalling pathway, mTOR signalling pathway, and several cancer-related pathways may contribute to PE. Our data provide novel information regarding m6A modification alterations in PE and help our understanding of the pathogenesis of PE.

ORGANISM(S): Homo sapiens

PROVIDER: GSE143966 | GEO | 2020/08/24

REPOSITORIES: GEO

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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.

Project description:Background: Platelets may be pivotal mediators of the thrombo-haemorrhagic complications of preeclampsia (PE), linking inflammation and thrombosis with endothelial and vascular dysfunction. While gestational hypertension (GH) falls within the spectrum of hypertensive complications of pregnancy and is a risk factor for preeclampsia, it is unclear what biomarkers distinguish PE from GH. Aim: To identify specific plasma and platelet thrombo-inflammatory biomarkers indicative of preeclampsia and distinguish PE from GH. Methods: We performed multiplex immunoassays, assessed platelet and plasma proteomics and metabolomics data of PE patients, and compared with non-pregnant (NP), healthy pregnant (PC) and GH participants. Results: We report plasma proteins upregulated, enriched plasma metabolites and proteins distinctly overexpressed in platelets of PE and GH compared to NP and PC. Whilst procoagulation in PC may be fibrinogen driven, Inter-Alpha-Trypsin Inhibitors ITIH2 and ITIH3 were enriched in hypertensive complications of pregnancy (PE and GH), and fibronectin and S100A8/9 may be major procoagulant agonists in PE but not GH. In addition, platelet leucine-rich repeat-containing protein 27 and 42 (LRRC27/42) subunits of volume-regulated VRAC anion channels were markedly overexpressed in preeclampsia and may contribute to the heightened glucose sensitivity and the pro-thrombotic tendency of this disorder. Additionally, our multiplex immunoassays confirmed previous reports of increases in preeclampsia plasma cytokines, including SDF-1α, which can directly activate platelets; but also, i-309 and CTACK cytokines, whose effects on platelets we explored using STRING analysis. Conclusion: We identified biomarkers that may be monitored for preeclampsia onset and progression, and distinguish PE from GH. Also, through protein-protein interactions analysis, we generated a new hypothesis for platelets’ contribution to the thrombo-inflammatory states of preeclampsia.

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Integrated analysis of the transcriptome-wide m6A methylome in preeclampsia and healthy control placentas

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