Influence of Glycemic Control on Coagulation and Lipid Metabolism in Pregnancies Complicated by Pregestational and Gestational Diabetes Mellitus

Role of increased plasminogen activator inhibitor-1 and vitronectin in gestational diabetes mellitus

OBJECTIVE

The aim of this study was to analyze the second-trimester levels of vitronectin and plasminogen activator inhibitor-1 in gestational diabetes mellitus.

METHODS

This study was conducted between September 2020 and December 2020 at the University of Health Sciences, Bursa Yuksek Ihtisas Research and Training Hospital, Department of Obstetrics and Gynecology. A total of 30 pregnant women with gestational diabetes mellitus and 60 healthy controls between 24 and 27/6 weeks of gestation were included. The inclusion criteria were as follows: being between 18 and 45 years old and 24-27/6 gestational weeks, having singleton pregnancy, diagnosed with gestational diabetes mellitus by using a two-step challenge test. The exclusion criteria of this study were as follows: chronic inflammatory or infectious disease, fasting blood glucose>126 mg/dL, intolerance to glucose tolerance testing, abnormal liver or kidney function tests, as well as pregnancy with pre-gestational diabetes history of adverse perinatal outcomes. Serum vitronectin and plasminogen activator inhibitor-1 levels were measured using the enzyme-linked immunosorbent assay method.

RESULTS

Vitronectin and plasminogen activator inhibitor-1 levels were higher in the gestational diabetes mellitus group compared with controls [91.85 (23.08) vs. 80.10 (39.18) ng/mL, for vitronectin and 6.50 (1.05) vs. 4.35(1.0) ng/mL, for plasminogen activator inhibitor-1 (for both p<0.001)]. vitronectin >84.7 ng/mL was found to predict gestational diabetes mellitus with a sensitivity of 70% and specificity of 63.3%. Moreover, vitronectin had a significant positive correlation with fasting blood glucose (r=0.476, p<0.001), postprandial blood glucose (r=0.489, p<0.001), HbA1c (r=0.713, p<0.001), and plasminogen activator inhibitor-1 (r=0.586, p<0.001).

CONCLUSION

This study revealed that second-trimester vitronectin and plasminogen activator inhibitor-1 are increased in gestational diabetes mellitus and vitronectin could be a candidate for the prediction of gestational diabetes mellitus.

Exosome Proteomics Reveals the Deregulation of Coagulation, Complement and Lipid Metabolism Proteins in Gestational Diabetes Mellitus

Exosomes are small extracellular vesicles with a variable protein cargo in consonance with cell origin and pathophysiological conditions. Gestational diabetes mellitus (GDM) is characterized by different levels of chronic low-grade inflammation and vascular dysfunction; however, there are few data characterizing the serum exosomal protein cargo of GDM patients and associated signaling pathways. Eighteen pregnant women were enrolled in the study: 8 controls (CG) and 10 patients with GDM. Blood samples were collected from patients, for exosomes’ concentration. Protein abundance alterations were demonstrated by relative mass spectrometric analysis and their association with clinical parameters in GDM patients was performed using Pearson’s correlation analysis. The proteomics analysis revealed 78 significantly altered proteins when comparing GDM to CG, related to complement and coagulation cascades, platelet activation, prothrombotic factors and cholesterol metabolism. Down-regulation of Complement C3 (C3), Complement C5 (C5), C4-B (C4B), C4b-binding protein beta chain (C4BPB) and C4b-binding protein alpha chain (C4BPA), and up-regulation of C7, C9 and F12 were found in GDM. Our data indicated significant correlations between factors involved in the pathogenesis of GDM and clinical parameters that may improve the understanding of GDM pathophysiology. Data are available via ProteomeXchange with identifier PXD035673.

Application Value of Predictive Model Based on Maternal Coagulation Function and Glycolipid Metabolism Indicators in Early Diagnosis of Gestational Diabetes Mellitus

Objective

To investigate whether first-trimester fasting plasma glucose (FPG), blood coagulation function and lipid metabolism could predict gestational diabetes mellitus (GDM) risk.

Methods

From October 2020 to May 2021, a total of 584 pregnant women who took prenatal care in Shanghai Jiaotong University Affiliated Sixth People's Hospital were chosen as the observation subjects. The clinical information and serum samples of all pregnant women were collected at 10–13 weeks of gestation and the blood coagulation function, fasting blood glucose and lipid profiles of the pregnant women were detected. A 75 g oral glucose tolerance test was performed up to 24–28 weeks of gestation. One hundred forty-two pregnant women with GDM and 442 pregnant women without GDM were detected. Data were expressed by x ± s or median (interquartile range) and were analyzed using student's t-test, Wilcoxon rank sum test and Logistic regression analysis. The area under the curve (AUC) was calculated by receiver operating characteristic curve (ROC) to analyze the predictive values.

Results

Compared with non-GDM group, age, pre-pregnancy BMI, FPG, FIB, D-Dimer, FDP, FPG, TC, TG, LDL-C, sdLDL-C, APOB and APOE in GDM group were significantly higher than those in non-GDM group, while PT, INR, APTT and TT were significantly lower than those in non-GDM group. Univariate logistic regression analysis was used to explore the risk factors of GDM. Gestational age, pre-pregnancy BMI, FPG, PT, INR, APTT, FIB, TT, D-Dimer, TC, TG, LDL-C, sdLDL-C, APOB and APOE were all independent predictors of GDM. Multivariatelogistic regression showed that pre-pregnancy BMI, FPG, APTT, TT, TG, LDL-C, sdLDL-C and APOB were risk factors for GDM. The AUC of the established GDM risk prediction model was 0.892 (0.858–0.927), and the sensitivity and specificity were 80.71 and 86.85%, respectively; which were greater than that of pre-pregnancy BMI, FPG, APTT, TT,TG, LDL-C, sdLDL-C, APOB alone, and the difffference was statistically signifificant (P < 0.05).

Conclusions

FPG, APTT, TT, TG, LDL-C, sdLDL-C, APOB and pre-pregnancy BMI in early pregnancy has important clinical value for the prediction of GDM, We combined these laboratory indicators and established a GDM risk prediction model, which is conducive to the early identification, intervention and treatment of GDM, so as to reduce the morbidity of maternal and infant complications.

Rotational thromboelastometry (ROTEM® ) in gestational diabetes mellitus and coagulation in healthy term pregnancy: A prospective observational study in Australia

BACKGROUND

Rotational thromboelastometry (ROTEM^® ) is a point-of-care test of coagulation. ROTEM^® -defined hypercoagulability has been identified in pregnant women and in non-pregnant patients with diabetes mellitus. Pregnancy is known to be a hypercoagulable state, but the influence of gestational diabetes mellitus (GDM) on coagulation is unknown.

AIM

The aim of this study was to assess the combined effect of pregnancy and GDM on coagulation using ROTEM^® and to compare this to healthy pregnant women presenting for elective caesarean delivery.

MATERIALS AND METHODS

Ethics approval was granted for recruitment of women presenting for elective caesarean delivery. Women with pre-existing conditions affecting coagulation were excluded. Group N included health pregnant women at term and Group G included pregnant women at term with GDM. Data regarding GDM management and glycaemic control were collected. Poor glycaemic control was defined by markers of accelerated fetal growth and elevated fasting or postprandial blood glucose levels. The ROTEM^® parameters (extrinsically activated thromboelastometric test (EXTEM) / fibrin polymerisation test (FIBTEM) amplitude at five minutes, coagulation time, maximum clot firmness and clot formation time) were compared between the two groups using Student's t-test.

RESULTS

There were 75 women in Group N and 21 women in Group G. Mean age and median body mass index values were comparable for both groups. There were no statistical differences found between the EXTEM and FIBTEM parameters analysed for the two groups.

CONCLUSIONS

There was no association between GDM and increased hypercoagulability as demonstrated by ROTEM^® parameters in healthy pregnant women presenting for elective caesarean delivery at term.

Downregulation of large-conductance Ca2+-activated K+ channels in human umbilical arterial smooth muscle cells in gestational diabetes mellitus

AIMS

We investigated the changes in large-conductance Ca²⁺-activated K⁺ (BK_Ca) channels from human umbilical arterial smooth muscle cells experiencing gestational diabetes mellitus (GDM).

MAIN METHODS

Whole-cell patch-clamp technique, arterial tone measurement, RT-PCR, Quantitative real-time PCR, western blot were performed in human umbilical arterial smooth muscle cells.

KEY FINDINGS

Whole-cell BK_Ca current density was decreased in the GDM group compared with the normal group. The vasorelaxant effects of the synthetic BK_Ca channel activator NS-1619 (10 μM) were impaired in the GDM group compared with the normal group. Reverse-transcription polymerase chain reaction (RT-PCR), real-time RT-PCR, and western blot analyses suggested that the mRNA, total RNA, and protein expression levels of the BK_Ca channel were decreased in the GDM group relative to the normal group. In addition, the expression levels of protein kinase A and protein kinase G, which regulate BK_Ca channel activity, remained unchanged between the groups. Applying the BK_Ca channel inhibitor paxilline (10 μM) induced vasoconstriction and membrane depolarization of isolated umbilical arteries in the normal group but showed less of an effect on umbilical arteries in the GDM group.

SIGNIFICANCE

Our results demonstrate for the first time impaired BK_Ca current and BK_Ca channel-induced vasorelaxation activities that were not caused by impaired BK_Ca channel-regulated protein kinases, but by decreased expression of the BK_Ca channels, in the umbilical arteries of GDM patients.

Proteomics Analysis of Serum Proteins in Gestational Diabetes

OBJECTIVE

The purpose of this study was to screen serum proteins for biomarkers of gestational diabetes mellitus (GDM) and to investigate its pathogenesis by analyzing the differences in serum proteomics between pregnant women with GDM and healthy pregnant women.

METHODS

Patients who were admitted to the First Affiliated Hospital of Fujian Medical University from June 2019 to January 2020 were included. According to the medical history and the results of the 75 g oral glucose tolerance test (OGTT), they were divided into the normal pregnant women group and GDM pregnant women group. The serum of two groups of patients was collected. High performance liquid chromatography-mass spectrometry was used to identify differentially expressed serum proteins between pregnant women with GDM and healthy pregnant women, and bioinformatics analysis was then performed on the identified proteins.

RESULTS

A total of 1152 quantifiable proteins were detected; among them, 15 were upregulated in serum of GDM pregnant women, while 26 were downregulated. The subsequent parallel reaction monitoring (PRM) assay validated the expression levels of 12 out of 41 differentially expressed proteins. Moreover, bioinformatics analysis revealed that the differentially expressed proteins are involved in multiple biological processes and signaling pathways related to the lipid metabolism, glycan degradation, immune response, and platelet aggregation.

CONCLUSIONS

This study identified 41 serum proteins with differential expression between pregnant women with GDM and healthy pregnant women, providing new candidate molecules for elucidating GDM pathogenesis and screening therapeutic targets.

Treatment modality, diabetic control and blood homeostasis in type 2 diabetes mellitus patients in Basra

This study is aimed at investigating the relationship between treatment modality, glycemic control and blood homeostasis as represented by prothrombin time (PT) and activated thromboplastin time (APTT) in T2DM patients. Sixty-four type 2 diabetic patients (40 males and 24 females) on metformin or insulin or both for not less than six months of ages between 20 and 75 years were selected during their visit to Diabetes Endocrine and Metabolism Centers in two General Hospitals in Basra. Socioeconomic characteristics and treatment plans were recorded. Glycated haemoglobin (HbA1c), lipid profiles and hematological parameters measured in blood samples were taken. Lower mean HbA1c (p = 0.0383) was found in patients on metformin alone, higher percentage of hemoglobin was found in patients on insulin treatment, and higher levels of LDL (P = 0.0018) and HDL (P = 0.0241) in patients on metformin and insulin. Treatment manner had no effect on mean PT or APTT, however, there was a significant inverse correlation of PT with LDL (P = 0.0042), and a direct correlation of APTT with HbA1c (p = 0.0209) and an inverse correlation of APTT with platelets count (P = 0.0324) in patients on insulin treatment. In addition, there was a significant direct correlation of APTT with triglycerides (TG) (P = 0.0069) in patients on metformin treatment. In conclusion, lower mean of HbA1c was found only in patients receiving metformin drug alone, higher Hb percentage were found in patients treated with insulin alone, higher LDL and higher HDL levels were found in patients treated with both metformin and insulin for at least six months. Treatment manner had no effect on mean PT or APTT and further studies are needed to bring about understanding of diabetic control and blood homeostasis.

Establishment of clinical diagnostic models using glucose, lipid, and urinary polypeptides in gestational diabetes mellitus

BACKGROUND

Gestational diabetes mellitus (GDM) has many adverse outcomes that seriously threaten the short-term and long-term health of mothers and infants. This study comprehensively analyzed the clinical diagnostic value of GDM-related clinical indexes and urine polypeptide research results, and established comprehensive index diagnostic models.

METHODS

In this study, diagnostic values from the clinical indexes of serum triglyceride (TRIG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG) and glycosylated hemoglobin (HbA1c), and 7 GDM-related urinary polypeptides were analyzed retrospectively. The multiple logistic regression equation, multilayer perceptron neural network model, radial basis function, and discriminant analysis function models of GDM-related indexes were established using machine language.

RESULTS

The results showed that HbA1c had the highest diagnostic value for GDM, with an area under the curve (AUC) of 0.769. When the cut-off value was 4.95, the diagnostic sensitivity and specificity were 70.5% and 70.0%, respectively. Among the seven GDM-related urinary polypeptides, human hemopexin (HEMO) had the highest diagnostic value, with an AUC of 0.690. When the cut-off value was 368.5, the sensitivity and specificity were 79.5% and 43.3%, respectively. The AUC of the multilayer perceptron neural network model was 0.942, followed by binary logistic regression (0.938), radial basis function model (0.909), and the discriminant analysis function model (0.908).

CONCLUSION

The establishment of a GDM diagnostic model combining blood glucose, blood lipid, and urine polypeptide indexes can lay a foundation for exploring machine language and artificial intelligence in diagnostic systems.

Comparison of factor XII levels in gestational diabetes, fetal macrosomia, and healthy pregnancies

Background

If not detected and treated, gestational diabetes mellitus (GDM) can cause serious pregnancy complications such as macrosomia, preeclampsia, and fetal/neonatal mortality. Many studies have examined underlying contributing factors for GDM, including hypercoagulation. Factor XII (FXII) is a coagulation factor that increases throughout normal pregnancies, and we evaluated the relationship of GDM with FXII, FXIIa (activated FXII), and other coagulation parameter levels. GDM and macrosomia are closely related, but it is not known whether FXII could be an independent causal factor for macrosomia.

Methods

In this prospective study, blood samples were taken from 69 pregnant women at the time of term delivery to determine levels of FXII, FXIIa, and other coagulation parameters. Based on the results, pregnancies fell into GDM, non-diabetic with macrosomia (M), or healthy (C [control]).

Results

FXII concentration levels were significantly higher in GDM patients compared with the M and C groups. There were no significant differences when comparing FXIIa, activated partial thromboplastin time, prothrombin time (PT), and international normalized ratio. The GDM group saw a significant negative correlation between FXII concentrations and maternal pregestational body mass index (BMI) and BMI before delivery. In the M group, a positive correlation was observed between FXII concentrations and newborn weight and newborn weight percentile.

Conclusions

An increase in FXII levels was observed in patients with gestational diabetes. Associations between coagulation parameters and GDM should be further analyzed to define the mechanisms of GDM and possible treatment modalities.

Trial registration

Our study has been registered at clinicaltrials.gov (NCT03583216). Registered on July 11, 2018,

Empagliflozin decreases the plasma concentration of plasminogen activator inhibitor-1 (PAI-1) in patients with type 2 diabetes: Association with improvement of fibrinolysis

AIMS

Elevation of the plasma concentration of plasminogen activator inhibitor-1 (PAI-1), a rapid-acting inhibitor of fibrinolysis, is associated with development of vascular thrombotic diseases, including coronary artery disease and stroke. We investigated the effects of empagliflozin, a sodium-glucose co-transporter-2 (SGLT2) inhibitor, on the plasma concentration of PAI-1 and fibrinolytic activity in patients with type 2 diabetes.

METHODS

In a randomized, active-controlled, open-label trial, 51 patients with type 2 diabetes were randomly allocated at a 2:1 ratio to receive empagliflozin (10 mg/day, n = 31) or standard therapy (n = 18) for 12 weeks. We measured the plasma concentrations of PAI-1 and plasmin-α2-antiplasmin complex (PAP) as indicators of fibrinolytic activity. Serum leptin and high-molecular weight (HMW) adiponectin were also measured.

RESULTS

In 49 patients who completed the trial, baseline plasma PAI-1 showed a positive correlation with body weight, visceral fat area (VFA), γ-glutamyltranspeptidase (GGT), leptin, and the platelet count, while it showed a negative correlation with HDL cholesterol and PAP. Body weight and VFA decreased significantly in the empagliflozin group, but not in the control group. The serum level of GGT showed a significant decrease at 12 weeks in the empagliflozin group, while it was unchanged in the control group. Serum HMW adiponectin increased significantly in the empagliflozin group. Plasma PAI-1 decreased significantly by 25% in the empagliflozin group, but not in the control group. In the empagliflozin group, the change of plasma PAI-1 was positively correlated with the changes of body weight and leptin, but was negatively correlated with the change of PAP.

CONCLUSIONS

Empagliflozin reduced the plasma PAI-1 concentration through its synergistic actions of a glucose-lowering effect, VFA loss, and restoring the adipokine balance. (Clinical trial registry: UMIN000025418).

Gestational diabetes mellitus is associated with antenatal hypercoagulability and hyperfibrinolysis: a case control study of Chinese women

BACKGROUND

To determine the relationship between gestational diabetes mellitus (GDM) and coagulation/fibrinolysis abnormality in antenatal Chinese women.

METHODS

Case control study: 50 women had GDM and 132 did not (the NGDM group) grouping by the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Maternal plasma biochemistry and previous medical history were collected from perinatal health records. Antenatal coagulation/fibrinolysis activity (CFA) parameters were assessed using thromboelastography and routine CFA parameters, respectively. Univariate and multiple regression analyses were used to evaluate the associations between GDM and CFA parameters. Maternal age, platelet, ALT, ALP, urea nitrogen, and previous history of abortion were taken as the covariables.

RESULTS

The women with GDM were significantly older than those without GDM (30.3 vs. 28.6 years, p = .012). Compared with the NGDM group, the GDM group had a significantly higher prevalence of cesarean delivery (56.0 vs. 37.9%, p = .027) and higher values of fibrinogen (FIB; 4.7 vs. 4.3 g/L, p = .001), activated partial thromboplastin time (APTT; 30.9 vs. 29.5 s, p = .010).There were no significant differences in the prevalence of maternal thrombotic events or neonatal events. GDM was significantly associated with higher APTT (β =1.41 s, 95% CI: 0.29-2.53), higher FIB (β = 0.38 g/L, 95% CI: 0.14-0.61), and higher percentage reduction in clot lysis after 30 min (LY30; β = 1.14%, 95% CI: 0.15-2.13) after adjustment for potential confounding factors.

CONCLUSIONS

GDM is significantly associated with hypercoagulability and hyperfibrinolysis in these antenatal Chinese women.

Proteome profiling of gestational diabetes mellitus at 16-18 weeks revealed by LC-MS/MS

Background

The practices used to diagnose gestational diabetes mellitus (GDM) could only be carried out around the time of detectable symptoms, and predictive capacity is little.

Methods

LC‐MS/MS was conducted to explore overview proteomics for GDM complicated pregnant woman at 16‐18 gestation weeks, while normal pregnant for control. Enzyme‐linked immunosorbent assay was further applied in an independent cohort of 15 GDM cases and 15 controls for verification.

Results

The results indicated that 24 protein expression levels were significantly changed in GDM group samples, and inflammation, oxidative stress, insulin resistance, blood coagulation, and lipid homeostasis were associated with GDM. The abnormal expression of CRP and IGFBP2 was verified in the first‐trimester maternal plasma in women who subsequently developed GDM.

Conclusions

This study not only identified 24 potential predictive biomarkers for GDM also provided a global overview of protein rearrangements induced by GDM.