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Dataset results
576 results for “Gestational Diabetes”
Combined Liraglutide and Metformin Therapy in Women With Previous Gestational Diabetes Mellitus (GDM)
ClinicalTrials.gov study NCT01234649. IPD Sharing: NO. Countries: 1. Publications: 1.
The Virtual Visit for Women With Gestational Diabetes
ClinicalTrials.gov study NCT02960295. IPD Sharing: NO. Countries: 1. Publications: 3.
Gestational Diabetes Mellitus Trial (GDM)
ClinicalTrials.gov study NCT00069576. IPD Sharing: Not stated. Countries: 1. Publications: 23.
Dietary Management of Gestational Diabetes Mellitus
ClinicalTrials.gov study NCT05613920. IPD Sharing: NO. Countries: 1. Publications: 5.
Sleep Duration in Women With Previous Gestational Diabetes
ClinicalTrials.gov study NCT03638102. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Causal inference and risk prediction of gestational diabetes mellitus based on case-control study and Mendel randomization
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Data from: Genetic variants in HLA-DQA1/DQB1 genes modulate the risk of gestational diabetes mellitus in a southern Chinese population
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Raw data for the association of genetic variants of ErbB4 gene and gestational diabetes mellitus
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Data from: Genetic susceptibility, Mendelian randomization and nomogram model construction of gestational diabetes mellitus
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Data from: Association and function analysis of genetic variants and the risk of gestational diabetes mellitus in a southern Chinese population
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Data from: Detection and initial management of gestational diabetes through primary health care services in Morocco: an effectiveness-implementation trial
Background: Gestational Diabetes Mellitus (GDM) testing and management in Morocco is associated with delays resulting in late commencement of treatment. To reduce delays and to increase access of women to GDM care, a country-adapted intervention targeting primary health care providers was designed to test the hypothesis that detection and initial management of GDM at the primary level of care improves newborn outcomes in terms of lower birthweights and less cases of macrosomia and impacts on maternal weight gain, glucose balance and pregnancy outcomes. Materials and methods: We conducted a cluster randomized controlled trial in two districts of Morocco. In each district, 10 health centers were randomly selected to serve either as intervention or control sites. Pregnant women attending antenatal care in the study facilities were eligible to participate. At the intervention sites, women were offered GDM screening by capillary glucose testing following International Association of Diabetes in Pregnancy Study Groups/WHO criteria. Women diagnosed with GDM received counselling on nutrition and exercise and were followed up through their health center whereas at control facilities routine practice was applied. Primary outcome was birthweight and secondary outcomes maternal weight gain, glucose control and pregnancy complications. We further assessed GDM prevalence in the intervention arm. Statistical analysis was performed on 210 recruited women. Continuous variables were reported using means while categorical variables using frequencies with tests of independence applying chi-squared tests. Differences of outcome variables between the two groups were estimated by mixed-effects regression models and effect sizes adjusted for confounders. The trial is registered under NCT02979756 at ClinicalTrials.gov. Results: GDM prevalence reached 23.7% in Marrakech. Birthweight in the intervention group was 147grams lower than in the control group (p = 0.08) as was the proportion of macrosomes (3.5% versus 18.4%; p< 0.001). In the intervention arm, women did two times more follow-ups than at control sites (p = 0.001) and mean follow-up intervals were shorter (11.3 days versus 18.7 days; p < 0.001). Overall, 30% more fasting blood sugar values were balanced (p = 0.005) and mean weekly maternal weight gain 49 grams lower (p = 0.032) in the intervention group. More women from control facilities had a delivery complication whereas more newborn complications were observed in women from intervention facilities. No difference between the two groups existed regarding mode of delivery and mean gestational age at delivery. One of the main limitations of the study was the Hawthorn-effect at control sites that might have led to an underestimation of the effect size. Conclusion: A high GDM prevalence in Morocco calls for a context-adapted screening and management approach to enable early interventions. GDM detection and care through antenatal care at primary health facilities may have positively impacted on newborn birthweight but findings are inconclusive. Results of this study will contribute to the decision on a potential upscaling of the intervention in Morocco. Future research could examine long term metabolic changes including diabetes type 2 in the cohort of women and their children.
Data from: Impact on offspring methylation patterns of maternal gestational diabetes mellitus and intrauterine growth restraint suggest common genes and pathways linked to subsequent type 2 diabetes risk
Size at birth, postnatal weight gain, and adult risk for type 2 diabetes may reflect environmental exposures during developmental plasticity and may be mediated by epigenetics. Both low birth weight (BW), as a marker of fetal growth restraint, and high birth weight (BW), especially after gestational diabetes mellitus (GDM), have been linked to increased risk of adult type 2 diabetes. We assessed DNA methylation patterns using a bead chip in cord blood samples from infants of mothers with GDM (group 1) and infants with prenatal growth restraint indicated by rapid postnatal catch-up growth (group 2), compared with infants with normal postnatal growth (group 3). Seventy-five CpG loci were differentially methylated in groups 1 and 2 compared with the controls (group 3), representing 72 genes, many relevant to growth and diabetes. In replication studies using similar methodology, many of these differentially methylated regions were associated with levels of maternal glucose exposure below that defined by GDM [the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study] or were identified as changes observed after randomized periconceptional nutritional supplementation in a Gambian cohort characterized by maternal deprivation. These studies provide support for the concept that similar epigenetic modifications may underpin different prenatal exposures and potentially increase long-term risk for diseases such as type 2 diabetes.
Months before diagnosis, gestational diabetes is characterized by microbiota-induced inflammation
<p><strong>Gestational diabetes mellitus (GDM) is a condition in which non-diabetic women are diagnosed with glucose intolerance during pregnancy, typically in the second trimester. GDM can lead to a wide range of obstetrical and metabolic complications for both mother and neonate. Early identification of GDM risk, along with a better understanding of its pathophysiology during the first trimester of pregnancy, may be effective in reducing GDM incidence, as well as its associated short and long term morbidities. Here, we comprehensively profiled the gut microbiome, metabolome, inflammatory cytokines, nutrition and clinical records of 394 women during the first trimester of pregnancy before GDM diagnosis.</strong></p>
Raw data for Association of ACE2 gene functional variants with gestational diabetes mellitus risk in a southern Chinese population
<p class="MsoNormal"><span>These data were generated to investigate the association and functional analysis of angiotensin-converting enzyme 2 genetic variants with the pathogenesis of Gestational diabetes mellitus (GDM). This study conducted a case-control study involving 569 GDM patients and 735 healthy pregnant women to explore the associations between candidate variants in the ACE2 gene variants and the pathogenesis of GDM. This study collected clinical samples and data, and used logistic regression, false positive report rate, multi factor dimension reduction, functional analysis and other analysis methods to process the research data. Potential functional ACE2 gene variants (rs2106809 A>G, rs6632677 G>C, and rs2074192 C>T) were selected and genotyped using kompetitive allele-specific PCR. The strength of the associations between the studied genetic variants and the risk of GDM were evaluated using odds ratios (ORs) and corresponding 95% confidence intervals (CIs). </span><span>Finally, ACE2 gene variants are significantly associated with the risk of GDM via gene-gene and gene-environment combination. The rs2074192 C > T affects the splicing of ACE2 gene, which may be a potential mechanism leading to the altered susceptibility of individual female during pregnancy in Guilin to GDM</span></p>
Early Detection of Gestational Diabetes Mellitus in Pregnancy
ClinicalTrials.gov study NCT05388643. IPD Sharing: NO. Countries: 1. Publications: 2.
Diabetes Prevention Among Post-partum Women With History of Gestational Diabetes
ClinicalTrials.gov study NCT02240420. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Myoinositol Supplementation, Insulin Resistance and Fetal Sonographic Parameters in Gestational Diabetes Diet Treated
ClinicalTrials.gov study NCT03763669. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Educational Intervention in the First 18 Months of Life to Prevent/Manage Obesity of Children After Gestational Diabetes
ClinicalTrials.gov study NCT04493177. IPD Sharing: NO. Countries: 1. Publications: 1.
Randomized Controlled Trial Intervention With New Nordic DIet in Women With GestatiOnal Diabetes Mellitus: iNDIGO
ClinicalTrials.gov study NCT04169243. IPD Sharing: NO. Countries: 1. Publications: 1.
Face-it: Health Promotion for Women With Prior Gestational Diabetes
ClinicalTrials.gov study NCT03997773. IPD Sharing: NO. Countries: 1. Publications: 6.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.