scholarly journals Effect of a high monounsaturated fatty acid diet on blood pressure and glucose metabolism in women with gestational diabetes mellitus

2001 ◽  
Vol 55 (6) ◽  
pp. 436-443 ◽  
Author(s):  
FF Lauszus ◽  
OW Rasmussen ◽  
JE Henriksen ◽  
JG Klebe ◽  
L Jensen ◽  
...  
Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 164-LB
Author(s):  
SOUMYALEKSHMI NAIR ◽  
VALESKA ORMAZABAL ◽  
NANTHINI JAYABALAN ◽  
DOMINIC GUANZON ◽  
ANDREW LAI ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi-Meng Wang ◽  
Yan Gao ◽  
Johan G. Eriksson ◽  
Weiqing Chen ◽  
Yap Seng Chong ◽  
...  

AbstractWe aimed to identify serum metabolites related to abnormal glucose metabolism (AGM) among women with gestational diabetes mellitus (GDM). The study recruited 50 women diagnosed with GDM during mid-late pregnancy and 50 non-GDM matchees in a Singapore birth cohort. At the 5-year post-partum follow-up, we applied an untargeted approach to investigate the profiles of serum metabolites among all participants. We first employed OPLS-DA and logistic regression to discriminate women with and without follow-up AGM, and then applied area under the curve (AUC) to assess the incremental indicative value of metabolic signatures on AGM. We identified 23 candidate metabolites that were associated with postpartum AGM among all participants. We then narrowed down to five metabolites [p-cresol sulfate, linoleic acid, glycocholic acid, lysoPC(16:1) and lysoPC(20:3)] specifically associating with both GDM and postpartum AGM. The combined metabolites in addition to traditional risks showed a higher indicative value in AUC (0.92–0.94 vs. 0.74 of traditional risks and 0.77 of baseline diagnostic biomarkers) and R2 (0.67–0.70 vs. 0.25 of traditional risks and 0.32 of baseline diagnostic biomarkers) in terms of AGM indication, compared with the traditional risks model and traditional risks and diagnostic biomarkers combined model. These metabolic signatures significantly increased the AUC value of AGM indication in addition to traditional risks, and might shed light on the pathophysiology underlying the transition from GDM to AGM.


Author(s):  
Manoharan Balachandiran ◽  
Zachariah Bobby ◽  
Gowri Dorairajan ◽  
Sajini Elizabeth Jacob ◽  
Victorraj Gladwin ◽  
...  

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.


2010 ◽  
Vol 118 (08) ◽  
pp. 485-489 ◽  
Author(s):  
G. Seghieri ◽  
F. Tesi ◽  
A. De Bellis ◽  
R. Anichini ◽  
G. Fabbri ◽  
...  

2013 ◽  
Vol 17 (6) ◽  
pp. 957 ◽  
Author(s):  
ThangjamPremchand Singh ◽  
Vanlalhruaii ◽  
Salam Ranabir ◽  
Lallan Prasad ◽  
NaoremNabakishore Singh

2021 ◽  
Vol 12 ◽  
Author(s):  
Linbo Guan ◽  
Ping Fan ◽  
Xinghui Liu ◽  
Mi Zhou ◽  
Yujie Wu ◽  
...  

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<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.


Author(s):  
Yu Liu ◽  
Alan Kuang ◽  
James R Bain ◽  
Michael J Muehlbauer ◽  
Olga R Ilkayeva ◽  
...  

Abstract Objective To identify circulating metabolites present at ~28 weeks’ gestation associated with gestational diabetes mellitus (GDM) and development of a disorder of glucose metabolism 10-14 years later. Methods Conventional clinical and targeted metabolomics analyses were performed on fasting and 1-hr serum samples following a 75g glucose load at ∼28 weeks’ gestation from 2,290 women who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Postpartum metabolic traits included fasting and 2-hr plasma glucose following a 75g glucose load, insulin resistance estimated by homeostasis model assessment, and disorders of glucose metabolism (prediabetes and type 2 diabetes) during the HAPO Follow-Up Study. Results Per-metabolite analyses identified numerous metabolites, ranging from amino acids and carbohydrates to fatty acids and lipids, before and 1-hr after a glucose load that were associated with GDM as well as development of a disorder of glucose metabolism and metabolic traits 10-14 years postpartum. A core group of fasting and 1-hr metabolites mediated, in part, the relationship between GDM and postpartum disorders of glucose metabolism, with the fasting and 1-hr metabolites accounting for 15.7% (7.1%-30.8%) and 35.4% (14.3%-101.0%) of the total effect size, respectively. For prediction of a postpartum disorder of glucose metabolism, addition of circulating fasting or 1-hr metabolites at ~28 weeks’ gestation showed little improvement in prediction performance compared to clinical factors alone. Conclusions The results demonstrate association of multiple metabolites with GDM and postpartum metabolic traits and begin to define the underlying pathophysiology of the transition from GDM to a postpartum disorder of glucose metabolism.


Sign in / Sign up

Export Citation Format

Share Document