Decreased ALCAM expression and promoter hypermethylation is associated with preeclampsia

Inhibition of ALKBH5-mediated m6 A modification of PPARG mRNA alleviates H/R-induced oxidative stress and apoptosis in placenta trophoblast

The alpha-ketoglutarate-dependent (ALKB) homolog 5 (ALKBH5), an m⁶ A demethylase, has been reported to be involved in the pathogenesis of preeclampsia (PE), but the exact mechanism requires further investigation. RT-qPCR or Western blotting were used to determine ALKBH5 and peroxisome proliferator-activated receptor gamma (PPARG) expression in placentas from PE patients and normal volunteers, as well as in HTR-8/SVneo cells treated with hypoxia/reoxygenation (H/R). Our results showed that the expression of ALKBH5 was significantly upregulated and PPARG was downregulated in preeclamptic placentas and H/R-treated cells. ALKBH5 interference reduced m⁶ A levels of PPARG mRNA, and increased PPARG mRNA stability and promoted PPARG translation level. In addition, ALKBH5 silencing increased the cell proliferation, migration, and vimentin protein level, and inhibited cell apoptosis, oxidative stress, and protein levels of endoglin (ENG) and E-cadherin in H/R-treated cells, whereas PPARG interference reversed these effects. Furthermore, PPARG repressed the H3K9me2 levels at activated leukocyte cell adhesion molecule (ALCAM) promoter region by increasing the expression and activity of lysine demethylase 3B (KDM3B). ALCAM inhibition reversed the effects of PPARG overexpression on H/R-treated cell functions. PKF115-584 suppressed the effects of ALKBH5 interference on the behaviors of H/R-treated cells. Finally, inhibition of ALKBH5 alleviates PE-like features in pregnant mice. Inhibition of ALKBH5 promotes KDM3B-mediated ALCAM demethylation by facilitating PPARG mRNA m⁶ A modification, and further activates the Wnt/β-catenin pathway, and in turn alleviates PE progression.

Integrated Metabolomic and Lipidomic Analysis in the Placenta of Preeclampsia

Preeclampsia is one of the most common severe pregnancy complications in obstetrics, which is considered a placental source disease. However, the mechanisms underlying preeclampsia remain largely unknown. In this study, UPLC-MS/MS-based metabolomic and lipidomic analysis was used to explore the characteristic placental metabolites in preeclampsia. The results revealed that there were significant changes in metabolites between preeclampsia and normotensive placentas. Weighted correlation network analysis (WGCNA) identified the correlation network module of metabolites highly related to preeclampsia and the clinical traits reflecting disease severity. The metabolic perturbations were primarily associated with glycerophospholipid and glutathione metabolism, which might influent membrane structures of organisms and mitochondria function. Using linear models, three metabolites had an area under receiver operating characteristic curves (AUROC) ≥ 0.80 and three lipids had an AUROC ≥ 0.90. Therefore, metabolomics and lipidomics may offer a novel insight for a better understanding of preeclampsia and provide a useful molecular mechanism underlying preeclampsia.

Clinical and Molecular Effects of GnRH Agonist and Antagonist on The Cumulus Cells in The In Vitro Fertilization Cycle

Background:

Gonadotropin-releasing hormone (GnRH) analogues have been extensively utilized in the ovarian stimulation cycle for suppression of endogenous rapid enhancement of luteinizing hormone (LH surge). Exclusive properties and functional mechanisms of GnRH analogues in in vitro fertilization (IVF) cycles are clearly described. This study was performed to evaluate clinical and molecular impacts of the GnRH agonist and antagonist protocols in IVF cycles. For This purpose, gene expression of cumulus cells (CCs) as well as clinical and embryological parameters were evaluated and compared between two groups (GnRH agonistand antagonist) during the IVF cycle.

Materials and Methods:

Twenty-one infertile individuals were enrolled in this study. Subjects were selected from two groups of GnRH agonist(n=10) treated patients and GnRH antagonist (n=11) treated individuals. The defined clinical embryological parameters were compared between the two groups. Expression of BAX, BCL-2, SURVIVIN, ALCAM, and VCAN genes were assessed in the CCs of the participants using the real-time polymerase chain reaction (PCR) technique.

Results:

The mean number of cumulus oocyte complex (COC), percentage of metaphase II (MII) oocytes, grade A embryo and clinical parameters did not show noticeable differences between the two groups. BAX gene expression in the CCs of the group treated with GnRH agonist was remarkably higher than those received GnRH antagonist treatment (P<0.001). The mRNA expression of BCL-2 and ALCM genes were considerably greater in the CCs of patients who underwent antagonist protocol in comparison to the group that received agonist protocol (P<0.001).

Conclusion:

Despite no considerable difference in the oocyte quality, embryo development, and clinical outcomes between the group treated with GnRH agonist and the one treated with antagonist protocol, the GnRH antagonist protocol was slightly more favorable. However, further clinical studies using molecular assessments are required to elucidate this controversial subject.

Identifying key genes and drug screening for preeclampsia based on gene expression profiles

Preeclampsia (PE) is characterized by gestational hypertension and proteinuria, and is a leading cause of maternal death and perinatal morbidity globally. Although the exact cause of PE remains unclear, several studies have suggested a role for abnormal expression of multiple genes. The aim of the present study was to identify key genes and related pathways, and to screen for drugs that regulate these genes for potential PE therapy. The GSE60438 dataset was acquired from the Gene Expression Omnibus database to analyze differentially expressed genes (DEGs). By constructing a protein-protein interaction network and performing reverse transcription-quantitative PCR verification, proteasome 26S subunit, non-ATPase 14, prostaglandin E synthase 3 and ubiquinol-cytochrome c reductase core protein 2 were identified as key genes in PE. In addition, PE was found to be associated with ‘circadian rhythm’, ‘fatty acid metabolism’, ‘DNA damage response detection of DNA damage’, ‘regulation of DNA repair’ and ‘endothelial cell development’. Through connectivity map analysis of DEGs, furosemide and droperidol were suggested to be therapeutic drugs that may target the hub genes for PE treatment. Results analysis of GSEA were included in the discussion section of this article. In conclusion, the current study identified novel key genes associated with the onset of PE and potential drugs for PE treatment.