Comparative proteomics of umbilical vein blood plasma from normal and gestational diabetes mellitus patients reveals differentially expressed proteins associated with childhood obesity

2016 ◽  
Vol 10 (11) ◽  
pp. 1122-1131 ◽  
Author(s):  
Zhijing Miao ◽  
Jianqing Wang ◽  
Fuqiang Wang ◽  
Lan Liu ◽  
Hongjuan Ding ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Childhood Obesity ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Blood Plasma ◽  
Umbilical Vein ◽  
Comparative Proteomics ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins

scholarly journals Differentially Expressed Protein Analysis of Placenta from Women with Gestational Diabetes Mellitus using Tandem Mass Tag Quantitative Proteomics

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sun X ◽  
◽  
Qu T ◽  
Yang X ◽  
He X ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Protein Interaction Network ◽  
Quantitative Proteomics ◽  
Interaction Network ◽  
Differentially Expressed ◽  
Tandem Mass ◽  
Differentially Expressed Proteins ◽  
Tandem Mass Tag

Gestational Diabetes Mellitus (GDM) is one of the diseases occurring in pregnancy. Although normal postpartum glycometabolism can be restored in most patients with GDM, they have a significantly increased risk of developing complications in the future. In recent years, many studies on the screening of differentially expressed proteins have been performed in patients with GDM by means of proteomics, but the pathogenesis of GDM in the placenta was still unclear. Thus, using the Tandem Mass Tag (TMT) quantitative technology, we aimed to identify candidate biomarkers that could predict GDM occurrence early and provide targets for future therapy. Placenta samples were obtained from pregnant women immediately after delivery. Quantitative proteomics was performed using TMT isobaric tags and liquid chromatography-tandem mass spectrometry. Bioinformatic analysis was performed to elucidate the biological processes that these differentially expressed proteins were involved in. Thirtyfive differentially expressed proteins were identified between patients with GDM and normal pregnant women. Therein, 7 and 28 proteins were upregulated and downregulated, respectively. Differentially expressed proteins were mainly enriched in African trypanosomiasis pathway, hematopoietic cell lineage, gap junction, glucagon signaling pathway, and retinol metabolism. Insulin resistance induced by the excessively activated glucagon signaling pathway in the placenta may be one of the reasons for GDM onset. Among the 35 differentially expressed proteins, excluding 12 unknown proteins or antibodies, 17 of the remaining 23 proteins converged to the same protein-protein interaction network, indicating that a highly linked protein interaction network in the placenta of patients with GDM affected the occurrence of disease.

scholarly journals Gestational Diabetes Mellitus Treatment Schemes Modify Maternal Plasma Cholesterol Levels Dependent to Women´s Weight: Possible Impact on Feto-Placental Vascular Function

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 506 ◽  
Author(s):  
Susana Contreras-Duarte ◽  
Lorena Carvajal ◽  
María Jesús Garchitorena ◽  
Mario Subiabre ◽  
Bárbara Fuenzalida ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Vascular Function ◽  
Plasma Cholesterol ◽  
Umbilical Vein ◽  
Maternal Plasma ◽  
Maternal Weight ◽  
Cholesterol Levels ◽  
The Impact

Gestational diabetes mellitus (GDM) associates with fetal endothelial dysfunction (ED), which occurs independently of adequate glycemic control. Scarce information exists about the impact of different GDM therapeutic schemes on maternal dyslipidemia and obesity and their contribution to the development of fetal-ED. The aim of this study was to evaluate the effect of GDM-treatments on lipid levels in nonobese (N) and obese (O) pregnant women and the effect of maternal cholesterol levels in GDM-associated ED in the umbilical vein (UV). O-GDM women treated with diet showed decreased total cholesterol (TC) and low-density lipoproteins (LDL) levels with respect to N-GDM ones. Moreover, O-GDM women treated with diet in addition to insulin showed higher TC and LDL levels than N-GDM women. The maximum relaxation to calcitonin gene-related peptide of the UV rings was lower in the N-GDM group compared to the N one, and increased maternal levels of TC were associated with even lower dilation in the N-GDM group. We conclude that GDM-treatments modulate the TC and LDL levels depending on maternal weight. Additionally, increased TC levels worsen the GDM-associated ED of UV rings. This study suggests that it could be relevant to consider a specific GDM-treatment according to weight in order to prevent fetal-ED, as well as to consider the possible effects of maternal lipids during pregnancy.

scholarly journals Downregulation of the Netrin-1 Receptor UNC5b Underlies Increased Placental Angiogenesis in Human Gestational Diabetes Mellitus

2019 ◽  
Vol 20 (6) ◽  
pp. 1408 ◽  
Author(s):  
Catalina Prieto ◽  
Bárbara Casas ◽  
Paulina Falcón ◽  
Andrea Villanueva ◽  
Pablo Lois ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Growth Factor ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Molecular Mechanisms ◽  
Umbilical Vein ◽  
Trophic Factors ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Placental Angiogenesis

Gestational diabetes mellitus (GDM) is a common metabolic disorder, defined by high blood glucose levels during pregnancy, which affects foetal and post-natal development. However, the cellular and molecular mechanisms of this detrimental condition are still poorly understood. A dysregulation in circulating angiogenic trophic factors, due to a dysfunction of the feto-placental unit, has been proposed to underlie GDM. But even the detailed study of canonical pro-angiogenic factors like vascular endothelial growth factor (VEGF) or basic Fibroblast Growth Factor (bFGF) has not been able to fully explain this detrimental condition during pregnancy. Netrins are non-canonical angiogenic ligands produced by the stroma have shown to be important in placental angiogenesis. In order to address the potential role of Netrin signalling in GDM, we tested the effect of Netrin-1, the most investigated member of the family, produced by Wharton’s Jelly Mesenchymal Stem Cells (WJ-MSC), on Human Umbilical Vein Endothelial Cells (HUVEC) angiogenesis. WJ-MSC and HUVEC primary cell cultures from either healthy or GDM pregnancies were exposed to physiological (5 mM) or high (25 mM) d-glucose. Our results reveal that Netrin-1 is secreted by WJ-MSC from healthy and GDM and both expression and secretion of the ligand do not change with distinct experimental glucose conditions. Noteworthy, the expression of its anti-angiogenic receptor UNC5b is reduced in GDM HUVEC compared with its expression in healthy HUVEC, accounting for an increased Netrin-1 signalling in these cells. Consistently, in healthy HUVEC, UNC5b overexpression induces cell retraction of the sprouting phenotype.

scholarly journals Identification of differentially expressed genes and signaling pathways in gestational diabetes mellitus by integrated bioinformatics analysis

2021 ◽  
Author(s):  
Basavaraj Mallikarjunayya Vastrad ◽  
Chanabasayya Mallikarjunayya Vastrad
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Gene Regulatory Network ◽  
Differentially Expressed Genes ◽  
Regulatory Network ◽  
Molecular Pathogenesis ◽  
Differentially Expressed ◽  
Hub Gene ◽  
Gene Regulatory

Gestational diabetes mellitus (GDM) is a metabolic disorder during pregnancy. Numerous biomarkers have been identified that are linked with the occurrence and development of GDM. The aim of this investigation was to identify differentially expressed genes (DEGs) in GDM using a bioinformatics approach to elucidate their molecular pathogenesis. GDM associated expression profiling by high throughput sequencing dataset (GSE154377) was obtained from Gene Expression Omnibus (GEO) database including 28 normal pregnancy samples and 33 GDM samples. DEGs were identified using DESeq2. The gene ontology (GO) and REACTOME pathway enrichments of DEGs were performed by g:Profiler. Protein-protein interaction (PPI) networks were assembled with Cytoscape software and separated into modules using the PEWCC1 algorithm. MiRNA-hub gene regulatory network and TF-hub gene regulatory network were performed with the miRNet database and NetworkAnalyst database. Receiver Operating Characteristic (ROC) analyses was conducted to validate the hub genes. A total of 953 DEGs were identified, of which 478 DEGs were up regulated and 475 DEGs were down regulated. Furthermore, GO and REACTOME pathway enrichment analysis demonstrated that these DEGs were mainly enriched in multicellular organismal process, cell activation, formation of the cornified envelope and hemostasis. TRIM54, ELAVL2, PTN, KIT, BMPR1B, APP, SRC, ITGA4, RPA1 and ACTB were identified as key genes in the PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network. TRIM54, ELAVL2, PTN, KIT, BMPR1B, APP, SRC, ITGA4, RPA1 and ACTB in GDM were validated using ROC analysis. This investigation provides further insights into the molecular pathogenesis of GDM, which might facilitate the diagnosis and treatment of GDM.

scholarly journals Expression of H2S in Gestational Diabetes Mellitus and Correlation Analysis with Inflammatory Markers IL-6 and TNF-α

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yucui Teng ◽  
Shuxia Xuan ◽  
Ming Jiang ◽  
Li Tian ◽  
Jinjing Tian ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Inflammatory Markers ◽  
Umbilical Vein ◽  
Venous Blood ◽  
Tnf Α ◽  
Mother And Child ◽  
The Difference

Background. Gestational diabetes mellitus (GDM) is a severe threat to the health of both mother and child. The pathogenesis of GDM remains unclear, although much research has found that the levels of hydrogen sulfide (H2S) play an important role in complications of pregnancy. Methods. We collected venous blood samples from parturient women and umbilical vein blood (UVB) and peripheral venous blood (PVB) samples one hour after childbirth in the control, GDM-, and GDM+ groups in order to determine the concentration of glucose and H2S in plasma; to measure levels of TNF-α, IL-1β, IL-6, TGF-β1, and ADP in parturient women and the UVB of newborns; and to find the correlation of H2S with regression. Results. We found that, with the elevation of glucose, the level of H2S was decreased in GDM pregnant women and newborns and the concentrations of IL-6 and TNF-α were upregulated. With regression, IL-6 and TNF-α concentrations were positively correlated with the level of blood glucose and negatively correlated with H2S concentration. Conclusion. This study shows that downregulation of H2S participates in the pathogenesis of GDM and is of great significance in understanding the difference of H2S between normal and GDM pregnant women and newborns. This study suggests that IL-6 and TNF-α are correlated with gestational diabetes mellitus. The current study expands the knowledge base regarding H2S and provides new avenues for exploring further the pathogenesis of GDM.

scholarly journals Postnatal Prevention of Childhood Obesity in Offspring Prenatally Exposed to Gestational Diabetes mellitus: Where Are We Now?

Obesity Facts ◽  
2017 ◽  
Vol 10 (4) ◽  
pp. 396-406 ◽  
Author(s):  
Camille Dugas ◽  
Julie Perron ◽  
Michèle Kearney ◽  
Roxanne Mercier ◽  
André Tchernof ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Childhood Obesity ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Prenatally Exposed

scholarly journals Global mRNA and Long Non-Coding RNA Expression in the Placenta and White Adipose Tissue of Mice Fed a High-Fat Diet During Pregnancy

2018 ◽  
Vol 50 (6) ◽  
pp. 2260-2271 ◽  
Author(s):  
Chen Huang ◽  
Bin-bin Huang ◽  
Jian-min Niu ◽  
Yan Yu ◽  
Xiao-yun Qin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Adipose Tissue ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
High Fat Diet ◽  
Differentially Expressed ◽  
High Fat ◽  
The Core ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Background/Aims: Gestational diabetes mellitus (GDM) is a common complication of pregnancy, but the mechanisms underlying the disorders remain unclear. The study aimed to identify mRNA and long non-coding RNA (lncRNA) profiles in placenta and gonadal fat of pregnant mice fed a high-fat diet and to investigate the transcripts and pathways involved in the development of gestational diabetes mellitus. Methods: Deep and broad transcriptome profiling was performed to assess the expression of mRNAs and lncRNAs in placenta and gonadal fat from 3 mice fed an HFD and chow during pregnancy. Then, differentially expressed mRNAs and lncRNAs were validated by quantitative real-time PCR. The function of the differentially expressed mRNAs was determined by pathway and Gene Ontology (GO) analyses, and the physical or functional relationships between the lncRNAs and the corresponding mRNAs were determined. Results: Our study revealed that 82 mRNAs and 52 lncRNAs were differentially expressed in the placenta of mice fed an HFD during pregnancy, and 202 mRNAs and 120 lncRNAs were differentially expressed in gonadal fat. GO and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed differentially expressed mRNAs of placenta were closely related to extracellular matrix interactions, digestion, adhesion, and metabolism, whereas the differentially expressed mRNAs in adipose tissue were related to metabolic and insulin signalling pathways. The gene network demonstrated that Actg2, Cnfn, Muc16, Serpina3k, NONMMUT068202, and NONMMUT068203, were the core of the network in placental tissue, and the genes Tkt, Acss2, and Elovl6 served as the core of the network in gonadal fat tissue. Conclusion: These newly identified key genes and pathways in mice might provide valuable information regarding the pathogenesis of GDM and might be used to improve early diagnosis, prevention, drug design, and clinical treatment.

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