scholarly journals A longitudinal study of thyroid markers during pregnancy and the risk of gestational diabetes mellitus and post‐partum glucose metabolism

2021 ◽  
Author(s):  
Lei Tang ◽  
Ping Li ◽  
Hua Zhou ◽  
Ling Li
Keyword(s):  
Diabetes Mellitus ◽  
Longitudinal Study ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Post Partum

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.

Long Term Predictors of Post-Partum Glucose Metabolism in Women with Gestational Diabetes Mellitus

2010 ◽  
Vol 118 (08) ◽  
pp. 485-489 ◽  
Author(s):  
G. Seghieri ◽  
F. Tesi ◽  
A. De Bellis ◽  
R. Anichini ◽  
G. Fabbri ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Post Partum

Circulating Exosomal miRNA Signature in Gestational Diabetes Mellitus Influences Glucose Metabolism in Placental Cells

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 164-LB
Author(s):  
SOUMYALEKSHMI NAIR ◽  
VALESKA ORMAZABAL ◽  
NANTHINI JAYABALAN ◽  
DOMINIC GUANZON ◽  
ANDREW LAI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Mirna Signature ◽  
Placental Cells ◽  
Exosomal Mirna

scholarly journals Ghrelin in Serum and Urine of Post-Partum Women with Gestational Diabetes Mellitus

2018 ◽  
Vol 19 (10) ◽  
pp. 3001 ◽  
Author(s):  
Żaneta Kimber-Trojnar ◽  
Jolanta Patro-Małysza ◽  
Katarzyna Skórzyńska-Dziduszko ◽  
Jan Oleszczuk ◽  
Marcin Trojnar ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Composition ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Post Partum ◽  
Enzyme Linked Immunosorbent Assay ◽  
Hydration Status ◽  
Increased Risk ◽  
Serum Ghrelin ◽  
Serum And Urine

Women with a previous history of gestational diabetes mellitus (GDM) have a significantly increased risk of developing type 2 diabetes, obesity, and cardiovascular diseases in the future. The aim of the study was to evaluate ghrelin concentrations in serum and urine in the GDM group in the early post-partum period, with reference to laboratory results, body composition, and hydration status. The study subjects were divided into two groups, that is, 28 healthy controls and 26 patients with diagnosed GDM. The maternal body composition and hydration status were evaluated by the bioelectrical impedance analysis (BIA) method. The concentrations of ghrelin in the maternal serum and urine were determined via enzyme-linked immunosorbent assay (ELISA). The laboratory and BIA results of the mothers with GDM were different from those without GDM. Urine ghrelin positively correlated with serum ghrelin and high-density lipoprotein cholesterol (HDL) levels in healthy mothers. There were direct correlations between urine ghrelin and HDL as well as triglycerides levels in the GDM group. Neither the lean tissue index nor body cell mass index were related to the serum ghrelin concentrations in this group. Only the urine ghrelin of healthy mothers correlated with the fat tissue index. Our results draw attention to urine as an easily available and appropriable biological material for further studies.

Maternal Metabolites Associated with Gestational Diabetes Mellitus and a Postpartum Disorder of Glucose Metabolism

2021 ◽  
Author(s):  
Yu Liu ◽  
Alan Kuang ◽  
James R Bain ◽  
Michael J Muehlbauer ◽  
Olga R Ilkayeva ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Adverse Pregnancy Outcome ◽  
Model Assessment ◽  
Glucose Load ◽  
Serum Samples ◽  
Metabolic Traits ◽  
Postpartum Disorders

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.

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.

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