138-OR: Elevated Triglycerides as a Risk Factor for Postpartum Abnormal Glucose Metabolism in Chinese Women with Previous Gestational Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 138-OR
Author(s):  
MENGYU LAI ◽  
FANG FANG ◽  
YUFAN WANG
Keyword(s):  
Risk Factor ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Chinese Women ◽  
Abnormal Glucose Metabolism ◽  
Previous Gestational Diabetes

scholarly journals Metabolic signatures in the conversion from gestational diabetes mellitus to postpartum abnormal glucose metabolism: a pilot study in Asian women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi-Meng Wang ◽  
Yan Gao ◽  
Johan G. Eriksson ◽  
Weiqing Chen ◽  
Yap Seng Chong ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Post Partum ◽  
Diagnostic Biomarkers ◽  
Serum Metabolites ◽  
Abnormal Glucose Metabolism ◽  
Metabolic Signatures

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.

scholarly journals Chronic Microvascular Complications in Prediabetic States—An Overview

2020 ◽  
Vol 9 (10) ◽  
pp. 3289
Author(s):  
Angelika Baranowska-Jurkun ◽  
Wojciech Matuszewski ◽  
Elżbieta Bandurska-Stankiewicz
Keyword(s):  
Risk Factor ◽  
Glucose Metabolism ◽  
Microvascular Complications ◽  
Current Data ◽  
Chronic Complications ◽  
Prediabetic State ◽  
Complications Of Diabetes ◽  
Glucose Levels ◽  
Abnormal Glucose Metabolism

A prediabetic state is a major risk factor for the development of diabetes, and, because of an identical pathophysiological background of both conditions, their prevalence increases parallelly and equally fast. Long-term hyperglycemia is the main cause inducing chronic complications of diabetes, yet the range of glucose levels at which they start has not been yet unequivocally determined. The current data show that chronic microvascular complications of diabetes can be observed in patients with abnormal glucose metabolism in whom glycaemia is higher than optimal but below diagnostic criteria for diabetes. Prediabetes is a heterogenous nosological unit in which particular types are differently characterized and show different correlations with particular kinds of complications. Analysis of the latest research results shows the need to continue studies in a larger population and can imply the need to verify the currently employed criteria of diagnosing diabetes and chronic complications of diabetes in people with prediabetes.

scholarly journals Epigenetic Profiles Reveal That ADCYAP1 Serves as Key Molecule in Gestational Diabetes Mellitus

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Xue Li ◽  
Wenhong Yang ◽  
Yanning Fang
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Principal Component ◽  
Functional Principal Component Analysis ◽  
Abnormal Glucose Metabolism ◽  
Functional Principal Component ◽  
Differentially Methylated Genes ◽  
Normal Glucose

Gestational diabetes mellitus (GDM) refers to the condition which shows abnormal glucose metabolism that occurs during pregnancy, while normal glucose metabolism before pregnancy. In the present study, a novel analytical procedure was used to explore the key molecule of gestational diabetes mellitus. First, the weighted pathway model was carried out subsequently to eliminate the gene-overlapping effects among pathways. Second, we assessed the enriched pathways by a combination of Fisher’s t-test and the Mann–Whitney U test. We carried out the functional principal component analysis by estimating F values of genes to identify the hub genes in the enriched pathways. Results showed that a total of 4 differential pathways were enriched. The key pathway was considered as the insulin secretion pathway. F values of each gene in the key pathway were calculated. Three hub molecules were identified as hub differentially methylated genes, namely, CAMK2B, ADCYAP1, and KCNN2. In addition, by further comparing the gene expression data in a validation cohort, one key molecule was obtained, ADCYAP1. Therefore, ADCYAP1 may serve as a potential target for the treatment of GDM.

scholarly journals 1042: The association between breastfeeding and abnormal glucose metabolism at 1 year postpartum following gestational diabetes

2020 ◽  
Vol 222 (1) ◽  
pp. S646-S647
Author(s):  
Jia Jennifer Ding ◽  
Martha B. Kole ◽  
Laurie Griffin ◽  
Nina K. Ayala ◽  
Phinnara Has ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Abnormal Glucose Metabolism

Risk factors for fetal macrosomia: the importance of a positive oral glucose challenge test

1997 ◽  
pp. 27-33 ◽  
Author(s):  
G Mello ◽  
E Parretti ◽  
F Mecacci ◽  
R Lucchetti ◽  
C Lagazio ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Challenge Test ◽  
Control Group ◽  
Oral Glucose ◽  
Glucose Challenge Test ◽  
Glucose Challenge ◽  
Group 1

OBJECTIVE: The aim of this study was to investigate whether minor abnormalities of glucose metabolism without gestational diabetes are a risk factor for fetal overgrowth. DESIGN: A sample of 1883 unselected white mother-infant pairs were screened for gestational diabetes using a 50 g 1-h oral glucose challenge test (GCT) in two periods of pregnancy: early (16-20 weeks) and late (26-30 weeks). METHODS: The effects of risk factors (glucose metabolism, previous history of mothers, obesity, multiparity and age of mothers) were estimated using a multinomial logit model. RESULTS: The level of risk was related to gestational age at the appearance of an abnormal GCT. Patients with an abnormal GCT in the early and late periods of pregnancy (Group 1) had a risk of delivering a large for gestational age (LGA) infant seven times higher than the control group (normal GCT in both periods), and patients with a normal GCT in the early period and an abnormal GCT in the late period (Group 2) showed a risk three times higher than the control group. Among the historical risk factors for LGA infants, such as maternal obesity, multiparity, previous gestational diabetes and previous delivery of an infant weighing 4000 g or more, only the latter was associated with fetal overgrowth with a risk level 4.7 higher than the control group. Group 1 patients had a significantly higher incidence of pregnancy-induced hypertension and preterm birth. There were no differences in the frequency of 5-min Apgar score < 7 and metabolic complications among the infants of all groups. We found a significantly higher rate of shoulder dystocia in Group 1 infants than in infants in the other groups. CONCLUSIONS: Our results suggest that a positive GCT at 26-30 weeks is the most important risk factor for fetal overgrowth. This result was strongly enforced in patients who had also shown a positive early GCT at 16-20 weeks.

scholarly journals Elevated Midtrimester Triglycerides as a Biomarker for Postpartum Hyperglycemia in Gestational Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Mengyu Lai ◽  
Fang Fang ◽  
Yuhang Ma ◽  
Jiaying Yang ◽  
Jingjing Huang ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Second Trimester ◽  
Lipid Levels ◽  
Severe Insulin Resistance ◽  
Abnormal Glucose Metabolism ◽  
Previous Gestational Diabetes Mellitus ◽  
Hba1c Levels ◽  
Previous Gestational Diabetes

Background. Whether elevated triglyceride (TG) levels during pregnancy were a biomarker for postpartum abnormal glucose metabolism (AGM) in women with previous gestational diabetes mellitus (GDM) remained unknown. The aim of this study was to investigate the association between TG levels during the second trimester and postpartum AGM in GDM women. Methods. This was a retrospective cohort study including 513 GDM women. A 75 g oral glucose tolerance test (OGTT) was performed, and lipid levels were determined during pregnancy and the postpartum period. GDM patients were categorized into tertiles according to their TG levels at 24–28 weeks of gestation (TG<2.14 mmol/L, TG: 2.14–2.89 mmol/L, and TG>2.89 mmol/L). A logistic regression model was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs). Results. During pregnancy, women in the high TG tertile showed higher HbA1c levels (5.47±0.58% versus 5.28±0.49%, p=0.006), higher total cholesterol (TC) levels (5.85±1.23 mmol/L versus 5.15±0.97 mmol/L, p=0.026), and higher HOMA-IR (2.36 (1.62-3.45) versus 1.49 (0.97-2.33), p<0.001) than the participants in the low TG tertile. After delivery, the prevalence rates of AGM based on above tertiles of TG levels during pregnancy were 26.90%, 33.33%, and 43.27%, respectively (p=0.006). High TG tertile during the second trimester was associated with the presence of postpartum AGM (adjusted OR: 2.001, 95% CI: 1.054-3.800, p=0.034). Conclusions. The elevated midtrimester TG levels were not only accompanied by higher glucose and lipid levels and more severe insulin resistance at the time of the measurement but were a biomarker for postpartum AGM as well.

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