Novel epigenetic link between gestational diabetes mellitus and macrosomia

Epigenomics ◽  
2021 ◽  
Author(s):  
Brian T Joyce ◽  
Huikun Liu ◽  
Leishen Wang ◽  
Jun Wang ◽  
Yinan Zheng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Dna Methylation ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Fetal Growth ◽  
Growth And Development ◽  
False Discovery ◽  
Registration Number ◽  
Dna Collection

Background & objectives: Examine maternal gestational diabetes mellitus (GDM), macrosomia and DNA methylation in candidate genes IGF1, IGF2, H19, ARHGRF11, MEST, NR3C1, ADIPOQ and RETN. Materials & methods: 1145 Children (572 GDM cases and 573 controls) from The Tianjin GDM study, including 177 with macrosomia, had blood DNA collection at median age 5.9 (range: 3.1–10.0). We used logistic regression to screen for associations with GDM and model macrosomia on 37 CpGs, and performed mediation analysis. Results: One CpG was associated with macrosomia at false discovery rate (FDR) <0.05 (cg14428359 in MEST); two (cg19466922 in MEST and cg26263166 in IGF2) were associated at p < 0.05 but mediated 26 and 13%, respectively. Conclusion: MEST and IGF2 were previously identified for potential involvement in fetal growth and development ( Trial Registration number: NCT01554358 [ClinicalTrials.gov] ).

Evaluating the implementation potential of a transcultural tool for Tamil migrants with gestational diabetes mellitus living in Switzerland

2017 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Online Survey ◽  
Healthcare Professionals ◽  
Binary Logistic Regression ◽  
Private Practices ◽  
Populations At Risk ◽  
Management Procedures

Background: Gestational diabetes mellitus is a condition that affects many pregnancies and ethnicity appears to be a risk factor. Data indicate that approximately 18% of Tamil women are diagnosed with gestational diabetes mellitus. Today, approximately 50,000 of Tamils live in Switzerland. To date, there is no official tool available in Switzerland that considers the eating and physical activity habits of this migrant Tamil population living in Switzerland, while offering a quick overview of gestational diabetes mellitus and standard dietetics management procedures. The NutriGeD project led by Bern University of Applied Sciences in Switzerland aimed at closing this gap. The aim of this present study was to evaluate the implementation potential of the tools developed in the project NutriGeD for dietetic counseling before their wide scale launch in Swiss hospitals, clinics and private practices. Method: An online survey was developed and distributed to 50 recruited healthcare professionals working in the German speaking region of Switzerland from October – December 2016 (31% response rate). The transcultural tools were sent to participants together with the link to the online survey. The evaluation outcome was analysed using binary logistic regression and cross tabulation analysis with IBM SPSS version 24.0, 2016. Results: 94% (N=47) respondents believed that the transcultural tools had good potential for implementation in hospitals and private practices in Switzerland. A binary logistic regression analysis revealed that the age of participants had a good correlation (42.1%) on recommending the implementation potential of the transcultural tool. The participants with age group 34- 54 years old where the highest group to recommend the implementation potential of the transcultural tool and this was found to be statistically significant (p=0.05). 74% (34 out of 50) of the respondents clearly acknowledged the need for transcultural competence knowledge in healthcare practices. 80% (N =40) of the respondents agreed that the information presented in the counseling display folder was important and helpful while 60% (N= 30) agreed to the contents being clinically applicable. 90% (N=45) participants recommended the availability of the evaluated transcultural tools in healthcare settings in Switzerland. Conclusion: The availability in healthcare practice of the evaluated transcultural tools was greatly encouraged by the Swiss healthcare practitioners participating in the survey. While they confirmed the need for these transcultural tools, feed-backs for minor adjustments were given to finalize the tools before their official launch in practice. The developed materials will be made available for clinical visits, in both hospitals and private practices in Switzerland. The Migmapp© transcultural tool can serve as a good approach in assisting healthcare professionals in all fields, especially professionals who practice in areas associated with diet - related diseases or disorders associated with populations at risk.

scholarly journals 726 Fetal growth by ultrasound prior to the diagnosis of gestational diabetes mellitus in nulliparous women

2021 ◽  
Vol 224 (2) ◽  
pp. S455-S456
Author(s):  
Alexandra Mahdasian-Miller ◽  
Christina Scifres ◽  
David M. Haas ◽  
William A. Grobman ◽  
Robert M. Silver ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Fetal Growth ◽  
Nulliparous Women

Placental Accumulation of Triacylglycerols in Gestational Diabetes Mellitus and Its Association with Altered Fetal Growth are Related to the Differential Expressions of Proteins of Lipid Metabolism

2020 ◽  
Author(s):  
Manoharan Balachandiran ◽  
Zachariah Bobby ◽  
Gowri Dorairajan ◽  
Sajini Elizabeth Jacob ◽  
Victorraj Gladwin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Fatty Acid ◽  
Lipid Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Fetal Growth ◽  
Fatty Acid Synthase ◽  
Regulatory Element ◽  
Acid Oxidation ◽  
Placental Proteins

Abstract Introduction Gestational diabetes mellitus (GDM) exhibit altered placental lipid metabolism. The molecular basis of this altered metabolism is not clear. Altered placental expression of proteins of lipogenesis and fatty acid oxidation may be involved in the placental accumulation of triacylglycerols (TG). The present study was aimed at investigating the differential expressions of placental proteins related to lipid metabolism among GDM women in comparison with control pregnant women (CPW) and to correlate them with maternal and fetal lipid parameters as well as altered fetal growth. Materials and Methods Maternal blood, cord blood, and placental samples were collected from GDM and CPW. The biochemical parameters, glucose, lipid profile and free fatty acids (FFA) were measured. The placental TG content was measured. Differential placental expressions of proteins; phosphatidylinositol-3-kinase (PI3K) p85α, PI3K p110α,liver X receptor alpha (LXRα), sterol regulatory element binding protein1(SREBP1), fatty acid synthase (FAS), stearyl CoA desaturase1 (SCD1), lipoprotein lipase (LPL),Peroxisome proliferator-activated receptor (PPAR)α and PPARγ were analysed by western blotting and immunohistochemistry. Results Placental protein expressions of PI3K p110α, LXRα, FAS, SCD1, and LPL were found to be significantly higher, whereas PPARα and PPARγ were lower in GDM women compared with CPW. The placental TG content and cord plasma FFA were increased in GDM women compared with CPW. The placental TG content positively correlated with Ponderal index of GDM new-borns. Conclusion Differential expressions of placental proteins related to lipid metabolism in GDM might have led to placental TG accumulation. This might have contributed to the fetal overgrowth in GDM.

scholarly journals AB0302 FACTORS ASSOCIATED WITH GESTATIONAL DIABETES MELLITUS (GDM) IN A MULTI-ETHNIC SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) COHORT

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1177.1-1177
Author(s):  
S. S. Shaharir ◽  
R. Mustafar ◽  
M. S. Mohamed Said ◽  
R. Abd Rahman
Keyword(s):  
Diabetes Mellitus ◽  
Systemic Lupus Erythematosus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Systemic Lupus ◽  
Factors Associated ◽  
In Pregnancy

Background:The risks of insulin resistance and diabetes mellitus are elevated in systemic lupus erythematosus (SLE) patients. The use of glucocorticoid and anti-double stranded DNA antibodies positive are among the factors reported to be associated with the risk of gestational diabetes mellitus (GDM) in SLE patients. However, the relationship between GDM in Asian SLE patients is still obscure.Objectives:To determine the prevalence of gestational diabetes mellitus (GDM) in a multi-ethnic SLE cohort in Malaysia and the associated risk factors.Methods:This was a retrospective study of SLE pregnant women who have completed their antenatal care in Universiti Kebangsaan Malaysia Medical Centre (UKMMC) from 2004 until 2019. Screening and diagnosis of gestational diabetes mellitus (GDM) were as recommended in the guidelines by the Ministry of Health Malaysia. Information on SLE disease activity and treatment at 6 months before pregnancy and during pregnancy were determined from the medical records. Univariate and multi-variable logistic regression analyses were performed to determine the factors associated with GDM in the SLE patients.Results:A total of 89 patients with 202 pregnancies were included in the study. Malay was the predominant ethnic in this cohort (n=82, 67.2%), followed by Chinese (n=33,27.0%) and Indian (n=7, 5.7%). The most common system involvement of SLE was musculoskeletal (n=91, 74.6%), followed by haematological (n=78, 63.9%), lupus nephritis (54.9%, n=67) and mucocutaneous (n=66, 54.1%). The prevalence of GDM was 8.9% (n=18). More patients with GDM had positive anti-cardiolipin IgG antibody (aCL IgG) and lupus anticoagulant (LA) antibody as compared to the patients with no GDM, (55.6% vs 25.8%, p=0.01) and (50.0% vs 25.4%, p=0.05) respectively. On the other hand, the use of hydroxychloroquine (HCQ) in pregnancy was significantly lower in GDM patients (11.1%) as compared to no GDM group (39.1%), p=0.02. There was no significant difference in the ethnicity, SLE system involvement, disease activity status and immunosupressant use including steroid, azathioprine and cyclosporine A at 6 months before and during pregnancy between the GDM and non-GDM group. A forward logistic regression which include aCL IgG, LA and HCQ use in pregnancy, only the HCQ use remained significantly associated with lower risk of GDM in the model with OR= 0.12, 95% C.I = 0.02-0.94, p=0.04.Conclusion:Our study demonstrates the potential benefit of hydroxychloroquine in reducing the risk of gestational diabetes mellitus in SLE patients. The prevalence of antiphospholipid antibodies particularly aCL IgG and LA was found to be higher among patients with GDM. Further prospective studies are needed to confirm this association.References:[1]Dong Y, Dai Z, Wang Z, et al. Risk of gestational diabetes mellitus in systemic lupus erythematosus pregnancy: a systematic review and meta-analysis. BMC Pregnancy and Childbirth. 2019 May;19(1):179. DOI: 10.1186/s12884-019-2329-0.Disclosure of Interests:None declared

scholarly journals Geospatial Analysis of Birth Records to Target Programming for Mothers With Gestational Diabetes Mellitus in Michigan, 2013

2018 ◽  
Vol 134 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Elizabeth MacQuillan ◽  
Amy Curtis ◽  
Kathleen Baker ◽  
Rajib Paul
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Hot Spot ◽  
The United States ◽  
The State ◽  
Maternal Child Health ◽  
Birth Data ◽  
Birth Records

Objectives: The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan. Materials and Methods: We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate). Results: We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses. Practice Applications: Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal–child health interventions.

scholarly journals Epigenetic Changes in Neonates Born to Mothers With Gestational Diabetes Mellitus May Be Associated With Neonatal Hypoglycaemia

2021 ◽  
Vol 12 ◽  
Author(s):  
Yoshifumi Kasuga ◽  
Tomoko Kawai ◽  
Kei Miyakoshi ◽  
Yoshifumi Saisho ◽  
Masumi Tamagawa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Dna Methylation ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Start Site ◽  
Epigenetic Changes ◽  
Neonatal Hypoglycaemia ◽  
Transcription Start ◽  
Cpg Sites ◽  
Alternative Transcription

The detection of epigenetic changes associated with neonatal hypoglycaemia may reveal the pathophysiology and predict the onset of future diseases in offspring. We hypothesized that neonatal hypoglycaemia reflects the in utero environment associated with maternal gestational diabetes mellitus. The aim of this study was to identify epigenetic changes associated with neonatal hypoglycaemia. The association between DNA methylation using Infinium HumanMethylation EPIC BeadChip and neonatal plasma glucose (PG) level at 1 h after birth in 128 offspring born at term to mothers with well-controlled gestational diabetes mellitus was investigated by robust linear regression analysis. Cord blood DNA methylation at 12 CpG sites was significantly associated with PG at 1 h after birth after adding infant sex, delivery method, gestational day, and blood cell compositions as covariates to the regression model. DNA methylation at two CpG sites near an alternative transcription start site of ZNF696 was significantly associated with the PG level at 1 h following birth (false discovery rate-adjusted P &lt; 0.05). Methylation levels at these sites increased as neonatal PG levels at 1 h after birth decreased. In conclusion, gestational diabetes mellitus is associated with DNA methylation changes at the alternative transcription start site of ZNF696 in cord blood cells. This is the first report of DNA methylation changes associated with neonatal PG at 1 h after birth.

scholarly journals Maternal GALNT2 Variations Affect Blood Pressure, Atherogenic Index, and Fetal Growth, Depending on BMI in Gestational Diabetes Mellitus

2021 ◽  
Vol 12 ◽  
Author(s):  
Linbo Guan ◽  
Ping Fan ◽  
Xinghui Liu ◽  
Mi Zhou ◽  
Yujie Wu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Fetal Growth ◽  
Atherogenic Index ◽  
Dependent Manner ◽  
Nucleotide Polymorphisms ◽  
Genetic Associations ◽  
Genetic Components

BackgroundGALNT2 is a GalNAc transferase that regulates serum lipid fractions, insulin signaling, and lipogenesis. Genetic variants are implicated in the pathogenesis of gestational diabetes mellitus (GDM). The objective of this study was to investigate the association of GALNT2 rs2144300 and rs4846914 single nucleotide polymorphisms (SNPs) with the risk of GDM and related traits.MethodsTwo SNPs were genotyped, and clinical and metabolic parameters were determined in 461 GDM patients and 626 control subjects. Genetic associations with related traits were also analyzed.ResultsThe genotype distributions of the two SNPs in GDM patients were similar to those in normal controls. However, significant differences were noted across the three groups of genotypes with respect to the examined variables in subjects in a BMI-dependent manner. The rs4846914 and rs2144300 SNPs of GALNT2 were significantly associated with systolic blood pressure and/or diastolic blood pressure levels in nonobese GDM patients and atherogenic index (AI) in overweight/obese GDM patients. The rs4846914 SNP was also associated with fetal growth in overweight/obese GDM patients, and apo A1 and pregnancy weight gain in overweight/obese control women (all P&lt;0.05).ConclusionsThe two polymorphisms in the GALNT2 gene are associated with variations in blood pressure, atherogenic index, and fetal growth in GDM, depending on BMI, but not with GDM. Our findings highlight a link between related phenotypes in GDM mothers and their fetuses and the genetic components.

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