Circulating miRNAs for gestational diabetes mellitus
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE98043 | GEO | 2017/04/22
SECONDARY ACCESSION(S): PRJNA383796
REPOSITORIES: GEO
Similar Datasets
Project description:Total RNA was isolated from lymphocyte. We compared the miRNA expression profiles between healthy and GDM women by RNA sequencing, and determined the signaling pathways associated with the changes. Our study offers new insights into circulating biomarkers of GDM and thus provides a valuable resource for future investigations.
2023-01-06 | GSE218696 | GEO
Project description:Circular RNA can regulate blood glucose levels by targeting mRNA expression, but the role of circRNA in GDM is still unknown. Therefore, a joint microarray analysis of circRNAs and their targeting mRNAs using the peripheral blood of GDM patients and healthy pregnant women was carried out for the first time. In our study, high-throughput microarray sequencing technique was used to analyze the expression profile of circRNA and transcripts mRNA in the peripheral blood of GDM patients, in order to comprehensively evaluate the role of circRNAs targets and their parents genes in the signal pathways related to the pathogenesis of GDM. Some of the discovered circRNAs and their linear transcript mRNAs related to T cell receptor signaling pathway were further verified in larger samples by droplet digital PCR(ddPCR) and quantitative real-time PCR(qRT-PCR), respectively. The verification results confirmed the initial microarray results.
2021-08-27 | GSE182737 | GEO
Project description:This study aimed to identify key circulating long non-coding RNAs (lncRNAs) as novel biomarkers for diagnosis of GDM at the early stages. First, lncRNA microarray analysis was conducted for plasma samples of GDM women before delivery and 48 h after delivery. The expression of differentially expressed lncRNAs in clinical samples at different trimesters was randomly validated by quantitative PCR. Moreover, the correlation between lncRNA expression and oral glucose tolerance test (OGTT) level in GDM women during the second trimester was analyzed, and the diagnostic value of key lncRNAs for GDM during different trimesters was evaluated by receiver operating characteristic (ROC) curve. The plasma level of NONHSAT054669.2 and ENST00000525337 may be used as novel diagnostic biomarkers for early diagnosis of GDM.
2022-11-07 | GSE217299 | GEO
Project description:The microRNA (miRNA) expression profile of plasma exosome in pregnant women complicated with gestational diabetes mellitus (GDM) has not been fully clarified. In this study, differentially expressed miRNAs in plasma exosomes were identified by high-throughput small RNA sequencing in 12 GDM and 12 normal glucose tolerance (NGT) pregnant women and validated in 102 GDM and 101 NGT pregnant women. A total of 22 exosomal miRNAs were found and five of them were verified by qRT-PCR. Exosomal miR-423-5p was upregulated, while miR-99a-5p, miR-192-5p, miR-148a-3p, and miR-122-5p were downregulated in pregnant women complicated with GDM.
2022-11-09 | GSE192813 | GEO
Project description:Objective: To explore the characteristics and underlying molecular mechanisms of genome-scale expression profiles of women with- or without- GDM and their offspring. Materials and Methods: We recruited a group of 21 pregnant women with GDM and 20 healthy pregnant women as controls. For each pregnant women, RNA-seq were performed using the placenta and paired neonatal umbilical cord blood specimens. Differentially expressed genes (DEGs) were identified with BMI of pregnant women as covariates. Then, functional enrichment analysis was performed separately or interactively in placenta and umbilical cord blood. Results: Through the comparison of GDM and healthy samples, 1442 and 488 DEGs were identified from placenta and umbilical cord blood, respectively. Functional enrichment analysis showed that the placenta expression profiles of GDM women mirrored the molecular characteristics of type II diabetes and insulin resistance patients. DEGs illustrated significant overlaps among placenta and umbilical cord blood samples, and the overlapping DEGs were associated with endocrine resistance and insulin resistance. Conclusions: Our research demonstrated the transcriptomic alternations of GDM mothers and offspring. Our findings emphasized the importance of epigenetic modifications in the communication between pregnant women with GDM and offspring, and provided reference for the prevention, control, treatment, and intervention of perinatal deleterious events of GDM and neonatal complications.
2022-05-31 | GSE203346 | GEO
Project description:The aim of this study was to establish the exosomal miRNA profile across gestation in normal and GDM pregnancies and to determine the signaling pathways associated with the changes in the miRNA profile in GDM.
2021-05-24 | GSE114860 | GEO
Project description:Gestational diabetes (GDM) refers to diabetes diagnosed as diabetes in the second or third trimester of pregnancy, but not obvious before pregnancy. It is one of the most common complications of pregnancy, which can lead to perinatal asphyxia, neonatal hypoglycemia, macrosomia, cardiovascular abnormalities, obesity and other short-term and long-term adverse outcomes of the offspring. This study explores the differential expression of transcriptome between GDM and non GDM placenta, and explores the impact of subtle metabolic changes in the placenta on fetal growth and development during GDM in pregnant women.
2024-07-30 | GSE263483 | GEO
Project description:Background: Intrauterine exposure to gestational diabetes mellitus (GDM) confers a lifelong increased risk for metabolic and other complex disorders to the offspring. GDM-induced epigenetic modifications modulating gene regulation and persisting into later life are generally assumed to mediate these increased disease risks. To identify candidate genes for fetal programming, we compared genome-wide methylation patterns of fetal cord bloods (FCBs) from GDM and control pregnancies. Methods and Results: Using Illumina's 450K methylation arrays and following correction for multiple testing, 65 CpG sites (52 of which are associated with genes) displayed significant methylation differences between GDM and control samples. Three of four candidate genes, ATP5A1, PRKCH, and SLC17A4, from our methylation screen and one, HIF3A, from the literature were validated by bisulfite pyrosequencing. The GDM effect on FCB methylation was more pronounced in women with insulin-dependent GDM who had a more severe metabolic phenotype than women with dietetically treated GDM. However, the effect remained significant after adjustment for the maternal BMI and gestational week in a multivariate regression model. Conclusions: Our study supports an association between maternal GDM and the epigenetic status of the exposed offspring. Consistent with a multifactorial disease model, the observed FCB methylation changes are of small effect size but affect multiple genes/loci. The identified genes are primary candidates for transmitting GDM effects to the next generation. They also may provide useful biomarkers for the diagnosis and prognosis of adverse prenatal exposures and assessing the success of interventions during pregnancy.
2017-03-29 | GSE88929 | GEO
Project description:Gestational diabetes mellitus (GDM), one of the most common pregnancy complications, affects approximately 6% of pregnancies. This study attempted to use the data-independent acquisition (DIA) mass spectrometry (MS) to identify the potential protein biomarkers from the placental tissues from the GDM patients and the normal pregnant women.
2021-12-28 | PXD030656 |
Project description:Genomic expression profiles of blood and placenta reveal significant immune-related pathways and categories in Chinese women with Gestational Diabetes Gestational diabetes mellitus (GDM) is a complex metabolic disease which occurs in pregnancy with high prevalence, and its pathogenesis remains elusive. Thus far, there has been no comprehensive gene expression profiling in Chinese women with GDM. In this study, we attempt to define the genes and/or pathways that are involved in GDM with Chinese ethnicity, by the Illumina microarray technique. We found 5,197 and 243 genes with significantly altered expression due to GDM in blood and placenta tissues, respectively. Previously known genes (such as TNF, IL1B, LEP, IFNG, and HLA-G) with altered gene expression in GDM were also validated here. In addition, we identified undescribed genes VAV3, PTPN6, CD48 and IL15, in which expression was related to GDM by microarray and Q-RT-PCR assays. To identify GDM-associated pathways, we used analyses with integrated functional annotation (i.e. KEGG) and extracted two significant pathways, which were Natural killer cell mediated cytotoxicity (hsa04650; FDR = 7.10E-09) in blood and Cytokine-cytokine receptor interaction (hsa04060; FDR = 1.07E-03) in placenta tissues. Immune system process (GO: 0002376) was identified by GO analysis with FDR P-value = 7.01E-60 in blood and FDR P-value = 3.57E-08 in placenta tissues, indicating the importance of immunological and inflammatory categories in GDM. Furthermore, despite differences in the quantity of gene expression, we observed a similar functional distribution between expression of blood and placenta tissues in GDM under the categories of immunity. These newly identified key genes and pathways may provide valuable information for the pathogenesis of GDM and advance disease diagnosis, prevention, medication design, and clinical treatment of the disease. One individual GDM blood tissue sample and one pooled GDM blood tissue sample were compared to one pooled healthy blood tissue sample. One pooled GDM placenta tissue sample was compared to one pooled healthy placenta tissue sample.
2010-12-23 | E-GEOD-19649 | biostudies-arrayexpress