MiRNA sequencing data of normal glucose tolerant (NGT) and gestational diabetes (GDM) pregnant women
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE218696 | GEO | 2023/01/06
REPOSITORIES: GEO
Similar Datasets
Project description:Total RNA was isolated from WBCs. For the analysis of genome-wide expression differences in small non-coding RNAs (sncRNAs) and long-coding and non-coding RNAs (mRNAs and lncRNAs), NGT and GDM pregnant women were selected. Twenty-nine GDM-associated mature micro-RNAs (miRNAs) with increased expression and one hundred sixty-three mRNAs with reduced expression associated with GDM were found (P<0.05 and FDR<0.1).
2017-12-31 | GSE92772 | GEO
Project description:miRNA sequencing data of normal glucose tolerant (NGT) and gestational diabetes (GDM) pregnant women
| PRJNA904817 | ENA
Project description:GDM is a multi-system disorder that is primarily characterised by new-onset hypertension accompanied by proteinuria during gestation. This disease is one of the leading causes of maternal and perinatal morbidity and mortality. In this work, placental samples were collected from GDM and control patients. RNA-seq was performed to identify differences in gene expression. Significantly differentially expressed genes between the GDM and control samples included 64 up-regulated and 296 down-regulated genes. This study may provide further insight in the mechanisms of GDM and function as preventive, predictive and therapeutic measures.
2021-12-31 | GSE154414 | GEO
Project description:We compared the plasma miRNA expression profiles between healthy and GDM women by microarray analysis.Our study offers new insights into circulating biomarkers of GDM and thus provides a valuable resource for future investigations.
2017-04-22 | GSE98043 | GEO
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
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: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.
2010-12-23 | GSE19649 | GEO
Project description:Gestational diabetes (GDM) is a distinctive form of diabetes that first presents in pregnancy. While most women return to normoglycemia after delivery, they are predisposed to an accelerated development of type 2 diabetes. Current prevention strategies remain limited due to our incomplete understanding of the early underpinnings of progression. We therefore examined the protein profiles of women shortly after a GDM pregnancy (using a nested case-control study design within the Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy) for a comprehensive mechanistic inquiry. At 6-9 weeks postpartum (baseline), differences between women who later developed diabetes (case group) and those who did not (control group) were detected. Notably, protein profiles comprised protease inhibitors, extracellular matrix components, and lipoprotein molecules involved in inflammation. We also identified co-expression networks of differentially altered triglycerides and protein involved in wound healing, highlighting the interplay between dyslipidemia and inflammation. Overall, our findings warrant earlier intervention than previously thought, as defects in postpartum wound healing after a GDM pregnancy, in association with dysmetabolism and insulin resistance, may accelerate type 2 diabetes progression.
2024-09-04 | PXD041243 | Pride
Project description:Objective: To explore the characteristics and underlying molecular mechanisms of genome-scale expression profiles of women with- or without- gestational diabetes mellitus and their offspring. Materials and Methods: We recruited a group of 21 pregnant women with gestational diabetes mellitus (GDM) and 20 healthy pregnant women as controls. For each pregnant women, RRBS were performed using the placenta and paired neonatal umbilical cord blood specimens. Differentially methylated regions (DMRs) were identified. Then, functional enrichment analysis was performed to differential methylated genes (DMGs) separately or interactively in placenta and umbilical cord blood. Results: Through the comparison of GDM and healthy samples, 2779 and 141 DMRs were identified from placenta and umbilical cord blood, respectively. Functional enrichment analysis showed that the placenta methylation and expression profiles of GDM women mirrored the molecular characteristics of “type II diabetes” and “insulin resistance”. Methylation-altered genes in umbilical cord blood were associated with pathways “type II diabetes” and “cholesterol metabolism”. DMGs illustrated significant overlaps among placenta and umbilical cord blood samples, and the overlapping DMGs were associated with cholesterol metabolism. Conclusions: Our research demonstrated the epigenomic 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 | GSE203169 | GEO
Project description:Context: Context: Gestational diabetes (GDM) has profound effects on the intrauterine metabolic milieu and is linked to obesity and diabetes in offspring, but the mechanisms driving these effects remain largely unknown. Alterations gene expression in amniocytes exposed to GDM in utero may identify potential mechanisms leading to metabolic dysfunction later in life. Objective: Objective: To profile changes in the transcriptome in human amniocytes exposed to GDM Methods: A nested case-control study was performed in second trimeseter amniocytes matched for offspring sex, maternal race/ethnicity, maternal age, gestational age at amniocentesis, gestational age at birth and gestational diabetes status. Sex-specific RNA-sequencing was completed and gene expression changes were identified. Results: Expression of interferon-stimulated genes was increased in GDM amniocytes accounting for 6 of the top 10 altered genes (q<0.05). Enriched biological pathways in GDM anmiocytes included pathways involving inflammation, the interferon response, fatty liver disease, monogenic diabetes and atherosclerosis. Conclusion: In a unique repository of human amniocytes exposed to GDM in utero, trancriptome analysis identified enrichment of inflammation and interferon-related pathways.
2020-05-15 | GSE150621 | GEO