Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolites Associated with Gestational Diabetes in Plasma

ABSTRACT: Gestational diabetes mellitus (GDM) significantly increases maternal and fetal health risks, but factors predictive of GDM are poorly understood. Plasma metabolomics analyses were conducted in early pregnancy to identify potential biomarkers for early prediction of Gestational Diabetes Mellitus (GDM). Sixty-eight pregnant women with overweight/obesity from a clinical trial of a lifestyle intervention were included. Participants who developed GDM (n=34; GDM group) were matched on treatment group, age, body mass index, and ethnicity with those who did not develop GDM (n=34; Non-GDM group). Blood draws were completed early in pregnancy (10-16 weeks). Plasma samples were analyzed by UPLC-MS using three metabolomics assays.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Diabetes

SUBMITTER: Michael La Frano

PROVIDER: ST001948 | MetabolomicsWorkbench | Wed Oct 13 00:00:00 BST 2021

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Similar Datasets

Single-cell RNA-sequencing of umbilical cord blood reveals impaired fetal immune homeostasis by gestational diabetes mellitus

Project description:Gestational diabetes mellitus (GDM), the most prevalent metabolic disorder during pregnancy, has long-term risks of metabolic diseases that might persist in adulthood. However, the underlying mechanisms remain unclear. Here, we profiled 78,767 cord blood mononuclear cells (CBMCs) from GDM and healthy mothers’ fetuses by single-cell RNA sequencing (scRNA-seq).

2024-01-18 | GSE212309 | GEO

Serum exosomal miRNA profile in pregnancies with gestational diabetes based on pancreatic β-cell function

Project description:Pancreatic β-cell function impairment is a key mechanism for developing gestational diabetes mellitus (GDM). Maternal and placental exosomes regulate maternal and placental responses during hyperglycemia. Studies have associated exosomal micro RNAs (miRNAs) with GDM development. To date, no studies have been reported that evaluate the profile of miRNAs present in maternal and placental exosomes in the early stages of gestation from pregnancies that develop GDM. We used microarrays to assess whether early pregnancy maternal and placental exosomal miRNA profiles vary according to pancreatic β-cell function in women who will develop GDM (preGDM).

2024-02-29 | GSE243374 | GEO

DIA proteomics for gestational diabetes mellitus

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 | iProX

Transcriptional profile of peripheral blood mononuclear cells from Gestational Diabetes Mellitus Patients

Project description:The oligo microarray were used to determine gene expression profile of PBMC from gestational diabetes mellitus (GDM) patients.

2012-08-25 | E-MEXP-3349 | biostudies-arrayexpress

Environmental Factors Influence the Epigenetic Signature of Newborns from Mothers with Gestational Diabetes

Project description:Here we investigated the degree by which epigenetic signatures in children from mothers with obesity or gestational diabetes mellitus are influenced by environmental factors. We profiled the DNA methylation signature of whole blood from lean, obese and gestational diabetes mellitus mothers and their respective newborns. DNA methylation profiles of mothers showed high similarity across groups, while on the contrary, newborns from GDM mothers showed a marked distinct epigenetic profile compared to newborns of both lean and obese mothers. Analysis of variance in DNA methylation levels between newborns showed higher variance in the GDM group. Our work suggest that environmental factors, rather than direct transmission of epigenetic marks from the mother, are involved in establishing the epigenetic signature associated with GDM.

2019-08-22 | GSE128289 | GEO

Transcriptional profiles of microRNAs from peripheral blood mononuclear cells of gestational diabetes mellitus patients

Project description:The oligo micoarrays were used to determine gene expression profiles of peripheral blood mononuclear cells from gestational diabetes mellitus (GDM) patients.

2012-08-23 | E-MEXP-3382 | biostudies-arrayexpress

Exosome proteomics reveals the deregulation of coagulation, complement and lipid metabolism proteins in gestational diabetes mellitus

Project description:Exosomes are the smallest extracellular vesicles which are released during pregnancy by the placenta, umbilical cord, amniotic fluid and various cell membranes in the extracellular space. The content of exosomes during pregnancy is strongly related to various conditions such as gestational diabetes mellitus (GDM). Although it is well-known that GDM is characterized by different levels of chronic low-grade inflammation, complement system dysregulation, vascular dysfunction and platelet activation, there is little data characterizing the serum exosomal protein cargo of GDM patients and their associations to these processes. The aim of this study was to analyze the serum exosomal proteome of GDM patients, with focus on the platelet activation and the complement proteins and their relationship to serum biochemical parameters and other protein markers of lipid metabolism and prothrombotic factors.

2022-09-22 | PXD035673 | Pride

Gestational diabetes and human amniocytes

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

Characterization of human plasma pregnancy-associated miRNAs at first trimester and their association with pregnancy complications [cohort 1]

Project description:To characterize the human plasma microtranscriptome profile at first trimester of pregnancy in presence or not of pregnancy complications, we sequenced microRNAs in plasma samples collected from pregnant women between the 4th and the 16th weeks of pregnancy. We then performed differential expression analyses to assess the miRNA profile diffrences according to the presence of pregnancy complications or not (i.e. Gestational diabetes mellitus, Gestational hypertension or preeclampsia vs. normal pregnancies).

2022-10-24 | GSE216275 | GEO

Molecular Signatures of Preeclampsia and Gestational Diabetes Mellitus Utilizing Multi-Omics Analyses, Part 2

Project description:The application of multi-omic evaluations, multi-dimensional analysis methods, and new cheminformatics-based visualization tools to provide an in depth understanding of the molecular changes taking place in preeclampsia (PRE) and gestational diabetes mellitus (GDM) patients. Since PRE and GDM are two prevalent pregnancy complications that result in adverse health effects for both the mother and fetus during pregnancy and later in life, a better understanding of each is essential. The multi-omic evaluations performed here provide new insight into the end-stage molecular profiles of each disease, thereby supplying crucial information for earlier diagnosis and potential treatments. Datasets here represent lipid samples analyzed via Ion Mobility Mass Spectrometry.

2020-05-02 | MSV000085361 | MassIVE

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data