The life course perspective of gestational diabetes: An opportunity for the prevention of diabetes and heart disease in women

Cost effectiveness of early metformin in addition to usual care in the reduction of gestational diabetes mellitus effects (EMERGE)-A randomised placebo-controlled clinical trial

AIMS

To investigate the cost-effectiveness of early initiation of metformin and usual care for gestational diabetes mellitus (GDM).

METHODS

Economic evaluation from a healthcare perspective, based on the EMERGE randomised controlled trial. In total, 535 women with GDM were randomised to placebo in addition to usual care or metformin in addition to usual care. Economic outcomes included incremental healthcare costs and quality adjusted life years (QALYs) and expected cost-effectiveness at cost-effectiveness threshold values of €20,000, €45,000 and €100,000 per QALY gained. Uncertainty was explored using parametric, non-parametric, deterministic and probabilistic methods and heterogeneity using subgroup analysis.

RESULTS

On average, relative to the placebo arm, the early metformin arm was associated with non-statistically significant mean increases of €193.07 (95% CI: -€789.88, €1176.01; p = 0.700) and 0.002 QALYs (95% CI: -0.009, 0.013; p = 0.771). In terms of expected cost-effectiveness at threshold values of €20,000, €45,000 and €100,000 per QALY gained, the probability of the early metformin arm being more cost-effective was estimated at 0.423, 0.452 and 0.524. Exploratory subgroup analyses provided more favourable but not definitive evidence in favour of the early metformin arm for cohorts with previous GDM and previous caesarean section.

CONCLUSIONS

We do not find definitive evidence that early initiation of metformin in addition to usual care for GDM was more cost-effective than usual care alone. The clinical and economic evidence may be considered equivocal, but worthy of further examination.

The long-term general practice healthcare of women with a history of gestational diabetes: A Scoping Review Protocol

Introduction

Gestational Diabetes Mellitus (GDM) is a hyperglycaemic condition diagnosed during pregnancy. GDM is strongly associated with future development of type 2 diabetes and cardiovascular disease. Lifestyle and pharmacological interventions can reduce the risk of developing type 2 diabetes. General practice is the recommended setting for long-term follow-up of women with a history of GDM. However, rates of follow-up are suboptimal. The evidence around long-term general practice healthcare for women with a history of GDM has not previously been reviewed.

Aims

The aim of this scoping review is to explore the current evidence base for the long-term care of women with a history of GDM in general practice.

Study Design

The study described by this protocol is a scoping review. The study design was informed by Joanna Briggs Institute methodology.

Methods

Empirical qualitative and quantitative research studies published since 2014 will be identified from a search of the following databases: MEDLINE (Ovid), EMBASE (Elsevier), CINAHL, PsycINFO, Academic Search Complete and SocIndex. The review will identify key characteristics of the literature. Framework analysis will be used to map the findings against the Chronic Care Model, a primary care-based framework that sets out the core components for optimal long-term healthcare.

Results

A numerical descriptive summary (using frequencies) will describe the overall extent of literature, and the range and distribution of its component parts, including the geographical and economic settings, research methods, interventions, outcomes and findings. The qualitative analysis will map interventions and descriptions of care to components of the chronic care model. Research gaps will be reported, and research needs and priorities will be suggested.

Conclusion

The findings of this scoping review will have the potential to inform future research efforts in the area.

Registration

This protocol has been registered in Open Science Framework ( https://osf.io/bz2vh).

Association and mediation pathways of maternal hyperglycaemia and liability to gestational diabetes with neonatal outcomes: A two-sample Mendelian randomization study

AIMS

Maternal hyperglycemia is linked to adverse neonatal outcomes. However, current evidence was insufficient for mechanistic pathways. We aim to use two-sample Mendelian randomization (MR) to obtain a comprehensive understanding of the causal association and mediation pathways.

MATERIALS AND METHODS

Genetic variants of fasting glucose (FG), insulin sensitivity index (ISI), glycated haemoglobin (HbA1c), gestational diabetes mellitus (GDM) and type 2 diabetes (T2D) were used as instruments (N = 50 404-898 130). The associations with offspring birthweight, gestational duration, spontaneous preterm and post-term birth were assessed by the inverse-variance weighted method, using summary statistics of European genome-wide association studies (N = 131 279-210 248). Sensitivity analyses, including multivariable MR removing pleiotropic effect from maternal body mass index (BMI), assessed the robustness. Mediation via placental weight and maternal hypertension were assessed via a two-step MR design.

RESULTS

FG (0.46 SD per mmol/L, 95% confidence interval [95% CI]: 0.32, 0.61) and GDM liability (0.18 SD per log odds, 95% CI: 0.08, 0.18) were positively associated with birthweight, with consistent findings for HbA1c, T2D liability and ISI. These associations were mediated by placental weight (proportion mediated: 32.8% to 77.7%). Higher HbA1c, GDM and T2D liability were associated with preterm birth (odds ratios for GDM: 1.07, 95% CI: 1.01, 1.14) and shorter gestational duration, whilst the association for T2D attenuated after adjusted for maternal BMI and gestational hypertension.

CONCLUSION

Maternal hyperglycemia is associated with higher birthweight (possibly indicating macrosomia), mediated via increased placental growth. GDM and T2D liability are related to preterm birth, whilst the association for T2D liability is driven by maternal adiposity.

Reduced circulating sphingolipids and CERS2 activity are linked to T2D risk and impaired insulin secretion

Gestational diabetes mellitus (GDM), a transient form of diabetes that resolves postpartum, is a major risk factor for type 2 diabetes (T2D) in women. While the progression from GDM to T2D is not fully understood, it involves both genetic and environmental components. By integrating clinical, metabolomic, and genome-wide association study (GWAS) data, we identified associations between decreased sphingolipid biosynthesis and future T2D, in part through the rs267738 allele of the CERS2 gene in Hispanic women shortly after a GDM pregnancy. To understand the impact of the CERS2 gene and risk allele on glucose regulation, we examined whole-body Cers2 knockout and rs267738 knock-in mice. Both models exhibited glucose intolerance and impaired insulin secretion in vivo. Islets isolated from these models also demonstrated reduced β cell function, as shown by decreased insulin secretion ex vivo. Overall, reduced circulating sphingolipids may indicate a high risk of GDM-to-T2D progression and reflect deficits in CERS2 activity that negatively affect glucose homeostasis and β cell function.

Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran

BACKGROUND

Gestational Diabetes Mellitus (GDM) is a common complication during pregnancy. Late diagnosis can have significant implications for both the mother and the fetus. This research aims to create an early prediction model for GDM in the first trimester of pregnancy. This model will help obstetricians and gynecologists make appropriate decisions for treating and preventing GDM complications.

METHODS

This applied descriptive study was conducted at the fertility health center of Vali-e-Asr Hospital in Tehran, Iran. The dataset was collected from the records of pregnant women registered in the hospital's system from 2020 to 2022. Risk factors for designing predictive models were identified through literature review, expert opinions, and clinical specialists' input. The extracted information underwent preprocessing, and six machine learning (ML) methods were developed and evaluated for GDM prediction in the first trimester of pregnancy: decision tree (DT), multilayer perceptron (MLP), k-nearest neighbors (KNN), Naïve Bayes (NB), random forest (RF), and extreme gradient boosting (XGBoost).

RESULTS

Models were evaluated using accuracy, precision, sensitivity, and the area under the receiver operating characteristic curve (AUC). Based on the glucose tolerance test (GTT) results, the RF model achieved the best performance in GDM prediction, with 89% accuracy, 86% precision, 92% recall, and 94% AUC, using demographic variables, medical history, and clinical findings. In modeling based on insulin consumption, the RF model achieved the best results with 62% accuracy, 60% precision, 63% recall, and 63% AUC in predicting GDM using demographic variables and medical history.

CONCLUSION

The results of this study demonstrate that ML algorithms, especially RF, have acceptable accuracy in the early prediction of GDM during the first trimester of pregnancy.

Sirtuins and Their Implications in the Physiopathology of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) imposes serious short- and long-term health problems for the mother and her child. An effective therapeutic that can reduce the incidence of GDM and improve long-term outcomes is a major research priority and is very important for public health. Unfortunately, despite numerous studies, the molecular mechanisms underlying GDM are not fully defined and require further study. Chronic low-grade inflammation, oxidative stress, and insulin resistance are central features of pregnancies complicated by GDM. There is evidence of the involvement of sirtuins, which are NAD+-dependent histone deacetylases, in energy metabolism and inflammation. Taking these facts into consideration, the role of sirtuins in the pathomechanism of GDM will be discussed.

Gestational diabetes mellitus, body mass index, and cardiometabolic multimorbidity: A prospective cohort study

PURPOSE

Gestational diabetes mellitus (GDM) could increase the risks of type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, evidence on its association with cardiometabolic multimorbidity (CMM) was limited. This study aimed to evaluate the association between GDM and the prevalence, incidence, patterns, and progression of CMM; and the role of body mass index (BMI) in such association.

METHODS

This study included 203,372 women who have given birth in UK Biobank. The diagnoses of GDM and cardiometabolic diseases (including stroke, coronary heart disease [CHD], and T2DM) were reported by participants or obtained through linkage to inpatient hospital data until 31st December 2020. BMI was assessed at the baseline assessment. CMM was defined as having two or more of included cardiometabolic diseases. Logistic regression models and Cox proportional hazard models were used to assess the association between GDM and CMM, and the modifications on both additive and multiplicative scales were assessed to evaluate the effect of BMI on such association.

RESULTS

A total of 1217 women had a history of GDM, 2351 participants had CMM at the end of follow-up and 1601 was newly diagnosed during follow-up. GDM was associated with higher prevalence (odds ratio [OR]=4.64, 95 % confidence interval [95 % CI]=3.54-6.08) and incidence (hazard ratio [HR]=3.62, 95 % CI=2.62-5.00) of CMM. In particular, GDM was associated with higher odds of T2DM, coexisting T2DM and vascular disease, and T2DM followed by vascular disease. Formal testing for effect modification suggested multiplicative modification by BMI for the association between GDM and incident CMM.

CONCLUSIONS

GDM was associated with CMM in women's late life, with multiplicative modification effects of BMI. Our results suggest that maternal and lifestyle interventions (e.g., weight management) are warranted for the primary and secondary prevention of CMM, particularly in women with a history of GDM.

Association of ideal cardiovascular health and history of gestational diabetes mellitus in NHANES 2007-2018

BACKGROUND

Population-based studies of ideal cardiovascular health (CVH) and gestational diabetes mellitus (GDM) are scarce.

METHODS

We conducted a cross-sectional analysis of 2007-2018 National Health Examination and Nutrition Survey women aged ≥ 20 years, who had data on Life's Simple 7 (LS7) metrics and self-reported GDM history. Each LS7 metric was assigned a score of 0 (non-ideal) and 1(ideal) and summed to obtain total ideal CVH scores (0-7). We used logistic regression models to assess associations between LS7 ideal CVH scores (0-7) and GDM history, accounting for socio-demographic factors.

RESULTS

Among 9199 women (mean age: 46 years, 8 % with a GDM history), there was a progressive decrease in the odds of past GDM history across increasing ideal CVH scores. Compared to females with 0-1 ideal CVH scores, females with ideal CVH scores of 3, 4 and 5-7 had an associated 39 % lower [odds ratio: 0.61 (95 % CI: 0.41-0.90)], 50 % lower [0.50 (0.33-0.76)] and 66 % lower [0.34 (0.20-0.56)] odds of past GDM history, respectively. There were notable racial/ethnic and citizenship/nativity differences in these associations.

CONCLUSIONS

Women with higher ideal CVH scores had lower odds of GDM history. Our findings underscore the importance of optimizing cardiometabolic health among women with GDM history.

Utilizing the glucose challenge test during pregnancy as a predictor of future diabetes risk

BACKGROUND

Gestational Diabetes Mellitus (GDM) presents a significant health concern during pregnancy, predisposing individuals to future diabetes. Despite established postpartum diabetes screening guidelines, adherence to follow-up remains inadequate.

AIMS

This study aimed to assess the predictive value of the 50-gram glucose challenge test (GCT) for post-pregnancy diabetes development.

MATERIALS AND METHODS

A population-based retrospective cohort study was conducted on pregnant women aged 18-45 who underwent GCT screening between November 2007 and July 2017 in a large Israeli community medical organization. Baseline characteristics, GCT results, and diabetes development during follow-up were analyzed using univariate and multivariate Cox regression analyses.

RESULTS

Among 8,675 women included, 2.4% developed diabetes over a median follow-up of 73.23 months. Elevated GCT results correlated with a higher risk of future diabetes, with a 4% rise in risk per 1 mg/dL increase in glucose above 140 mg/dL. Multivariate analysis revealed a 60-fold rise in the risk of future diabetes in women with GCT results ≥ 200 mg/dL compared to those with GCT < 140 mg/dL, adjusting for age, body mass index, pre-pregnancy glucose, cholesterol, and triglycerides. A GCT result between 140 and 199 mg/dL was a predictor of future diabetes, even when adjusted for GDM based on a subsequent GTT if performed.

CONCLUSIONS

GCT results during pregnancy strongly predict future diabetes development, with higher GCT values significantly increasing risk. Recognizing abnormal GCT results as indicative of a prediabetic state offers a practical approach for risk stratification, facilitating early diagnosis, and intervention in post-pregnancy care.

The role of microRNAs in pregnancies complicated by maternal diabetes

With the global prevalence of diabetes increasing, more people of reproductive age are experiencing hyperglycaemic pregnancies. Maternal Type 1 (T1DM) or Type 2 (T2DM) diabetes mellitus, and gestational diabetes mellitus (GDM) are associated with maternal cardiovascular and metabolic complications. Pregnancies complicated by maternal diabetes also increase the risk of short- and long-term health complications for the offspring, including altered fetal growth and the onset of T2DM and cardiometabolic diseases throughout life. Despite advanced methods for improving maternal glucose control, the prevalence of adverse maternal and offspring outcomes associated with maternal diabetes remains high. The placenta is a key organ at the maternal-fetal interface that regulates fetal growth and development. In pregnancies complicated by maternal diabetes, altered placental development and function has been linked to adverse outcomes in both mother and fetus. Emerging evidence suggests that microRNAs (miRNAs) are key molecules involved in mediating these changes. In this review, we describe the role of miRNAs in normal pregnancy and discuss how miRNA dysregulation in the placenta and maternal circulation is associated with suboptimal placental development and pregnancy outcomes in individuals with maternal diabetes. We also discuss evidence demonstrating that miRNA dysregulation may affect the long-term health of mothers and their offspring. As such, miRNAs are potential candidates as biomarkers and therapeutic targets in diabetic pregnancies at risk of adverse outcomes.

A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women

The pathophysiology of gestational diabetes mellitus (GDM) comprises clinical and genetic factors. In fact, GDM is associated with several single nucleotide polymorphisms (SNPs). This study aimed to build a prediction model of GDM combining clinical and genetic risk factors. A total of 1588 pregnant women from the San Carlos Cohort participated in the present study, including 1069 (67.3%) Caucasian (CAU) and 519 (32.7%) Latin American (LAT) individuals, and 255 (16.1%) had GDM. The incidence of GDM was similar in both groups (16.1% CAU and 16.0% LAT). Genotyping was performed via IPLEX Mass ARRAY PCR, selecting 110 SNPs based on literature references. SNPs showing the strongest likelihood of developing GDM were rs10830963, rs7651090, and rs1371614 in CAU and rs1387153 and rs9368222 in LAT. Clinical variables, including age, pre-pregnancy body mass index, and fasting plasma glucose (FPG) at 12 gestational weeks, predicted the risk of GDM (AUC 0.648, 95% CI 0.601-0.695 in CAU; AUC 0.688, 95% CI 0.628-9.748 in LAT), and adding SNPs modestly improved prediction (AUC 0.722, 95%CI 0.680-0.764 in CAU; AUC 0.769, 95% CI 0.711-0.826 in LAT). In conclusion, adding genetic variants enhanced the prediction model of GDM risk in CAU and LAT pregnant women.

Impact of the diagnosis of gestational diabetes on maternal physical activity after pregnancy

AIM

The diagnosis of gestational diabetes (GDM) identifies women who are at future risk of developing type 2 diabetes. However, it is unclear if diagnosing GDM thus motivates women to increase physical activity after pregnancy or if this medicalization has the opposite effect of decreasing activity, possibly reflecting assumption of a sick role. We thus sought to evaluate the impact of diagnosing GDM on changes in maternal physical activity after pregnancy.

METHODS

In this prospective cohort study, physical activity patterns were assessed by the Baecke questionnaire for the year before pregnancy and the first year postpartum in 405 white women comprising the following three gestational glucose tolerance groups: (a) those who did not have GDM (non-GDM; n = 247), (b) women with undiagnosed GDM (n = 46) and (c) those diagnosed with GDM (n = 112).

RESULTS

In the year before pregnancy, mean adjusted total physical activity progressively decreased from non-GDM to undiagnosed GDM to diagnosed GDM (p = .067). Conversely, at 1 year postpartum, total physical activity was highest in those who had been diagnosed with GDM (p = .02). Compared with non-GDM, diagnosed GDM predicted an increase in total physical activity from pre-pregnancy to 1 year postpartum (t = 2.3, p = .02) whereas undiagnosed GDM predicted a concurrent decrease in leisure-time activity (t = -2.74, p = .006). Accordingly, the mean adjusted increase in body mass index from pre-pregnancy to 1 year postpartum was lowest in those with diagnosed GDM (0.26 ± 0.25 kg/m2 ), highest in undiagnosed GDM (1.23 ± 0.38 kg/m2 ) and intermediate in non-GDM (0.89 ± 0.22 kg/m2 ) (overall p = .04).

CONCLUSION

Diagnosis of GDM leads to increased physical activity after pregnancy that may partially attenuate postpartum weight retention.

Understanding Food Insecurity as a Determinant of Health in Pregnancy Within the United States: An Integrative Review

Background

Food insecurity is a major public health concern in the United States, particularly for pregnant and postpartum individuals. In 2020, ∼13.8 million (10.5%) U.S. households experienced food insecurity. However, the association between food security and pregnancy outcomes in the United States is poorly understood.

Purpose

The purpose of this review was to critically appraise the state of the evidence related to food insecurity as a determinant of health within the context of pregnancy in the United States. We also explored the relationship between food insecurity and pregnancy outcomes.

Methods

PubMed, CINAHL, Web of Science, and Food and Nutrition Science databases were used. The inclusion criteria were peer-reviewed studies about food (in)security, position articles from professional organizations, and policy articles about pregnancy outcomes and breastfeeding practices. Studies conducted outside of the United States and those without an adequate definition of food (in)security were excluded. Neonatal health outcomes were also excluded. Included articles were critically appraised with the STROBE and Critical Appraisal Skills Program checklists.

Results

Nineteen studies met the inclusion criteria. Inconsistencies exist in defining and measuring household food (in)security. Pregnant and postpartum people experienced several adverse physiological and psychological outcomes that impact pregnancy compared with those who do not. Intersections between neighborhood conditions and other economic hardships were identified. Findings regarding the impact of food insecurity on breastfeeding behaviors were mixed, but generally food insecurity was not associated with poor breastfeeding outcomes in adjusted models.

Conclusion

Inconsistencies in definitions and measures of food security limit definitive conclusions. There is a need for standardizing definitions and measures of food insecurity, as well as a heightened awareness and policy change to alleviate experiences of food insecurity.

Future clinical prospects of C-peptide testing in the early diagnosis of gestational diabetes

Gestational diabetes is typically diagnosed in the late second or third trimester of pregnancy. It is one of the most common metabolic disorders among expectant mothers, with potential serious short- and long-term complications for both maternal and offspring health. C-peptide is secreted from pancreatic beta-cells into circulation in equimolar amounts with insulin. It is a useful biomarker to estimate the beta-cell function because it undergoes negligible hepatic clearance and consequently it has a longer half-life compared to insulin. Pregnancy induces increased insulin resistance due to physiological changes in hormonal and metabolic homeostasis. Inadequate compensation by islet beta-cells results in hyperglycemia. The standard oral glucose tolerance test at 24-28 wk of gestation sets the diagnosis. Accumulated evidence from prospective studies indicates a link between early pregnancy C-peptide levels and the risk of subsequent gestational diabetes. Elevated C-peptide levels and surrogate glycemic indices at the beginning of pregnancy could prompt appropriate strategies for secondary prevention.

Postpartum weight retention and the early evolution of cardiovascular risk over the first 5 years after pregnancy

BACKGROUND

The cumulative effect of postpartum weight retention from each pregnancy in a woman's life may contribute to her risk of ultimately developing type 2 diabetes and cardiovascular disease. However, there is limited direct evidence supporting this hypothesis. Thus, we sought to characterize the impact of postpartum weight retention on the trajectories of cardiovascular risk factors over the first 5-years after pregnancy.

METHODS

In this prospective observational cohort study, 330 women (mean age 35.7 ± 4.3 years, mean pre-pregnancy body mass index 25.2 ± 4.8 kg/m2, 50.9% primiparous) underwent serial cardiometabolic characterization (anthropometry, blood pressure, lipids, oral glucose tolerance test, insulin sensitivity/resistance (Matsuda index, HOMA-IR), C-reactive protein (CRP), adiponectin) at 1-year, 3-years, and 5-years postpartum. Based on the magnitude of weight change between pre-pregnancy and 5-years postpartum, they were stratified into the following 3 groups: weight loss (n = 100), weight gain 0-6% (n = 110), and weight gain ≥ 6% (n = 120).

RESULTS

At 1-year postpartum, cardiovascular risk factors did not differ between the groups. However, an adverse risk factor profile progressively emerged in the weight retention groups at 3- and 5-years. Indeed, after covariate adjustment, there was stepwise worsening (from the weight loss group to weight gain 0-6% to weight gain ≥ 6% group) of the following cardiovascular risk factors at 5-years: triglycerides (p = 0.001), HDL (p = 0.02), LDL (p = 0.01), apolipoprotein-B (p = 0.003), Matsuda index (p < 0.0001), HOMA-IR (p < 0.0001), fasting glucose (p = 0.07), and CRP (p = 0.01). Moreover, on logistic regression analyses, weight gain ≥ 6% emerged as an independent predictor of pre-diabetes/diabetes at 5-years (adjusted OR = 3.40, 95%CI: 1.63-7.09).

CONCLUSION

Postpartum weight retention predicts trajectories of worsening cardiovascular risk factors and glucose intolerance over the first 5-years after delivery, consistent with its postulated contribution to future vascular disease in women.

Associations of adherence to the DASH diet and Mediterranean diet with maternal c-reactive protein levels during pregnancy

BACKGROUND AND AIMS

Elevated C-reactive protein (CRP) during pregnancy, a marker of inflammation, is associated with adverse outcomes. Better understanding the relationship between CRP and modifiable factors, including diet, is essential to assist early pregnancy lifestyle interventions. The aim of this study was to assess the relationship between adherence to the Dietary Approaches to Stop Hypertension diet (DASH-diet) and the Mediterranean diet (MED-diet) during pregnancy with maternal plasma CRP in early and late pregnancy.

METHODS AND RESULTS

Secondary analysis of the Creatine and Pregnancy Outcomes (CPO) study was undertaken. Women (n = 215) attending antenatal clinics through Monash Health, Melbourne were recruited at 10-20 weeks gestation. Medical history and blood samples were collected at 5 antenatal visits. Adapted DASH-diet and MED-diet scores were calculated from Food Frequency Questionnaires completed at early ([mean ± SD]) (15 ± 3 weeks) and late (36 ± 1 week) pregnancy. CRP was measured in maternal plasma samples collected at the same time points. Adjusted linear regression models assessed associations of early-pregnancy DASH and MED-diet scores with early and late pregnancy plasma CRP. There were no statistically significant changes in DASH-diet score from early (23.5 ± 4.8) to late (23.5 ± 5.2) pregnancy (p = 0.97) or MED-diet score from early (3.99 ± 1.6) to late pregnancy (4.08 ± 1.8) (p = 0.41). At early-pregnancy, there was an inverse relationship between DASH-diet scores and MED-diet scores with plasma CRP; (β = -0.04 [95%CI = -0.07, -0.00], p = 0.044), (β = -0.12 [95%CI = -0.21, -0.02], p = 0.023).

CONCLUSION

Adherence to the DASH-diet and MED-diet during early pregnancy may be beneficial in reducing inflammation. Assessment of maternal dietary patterns may assist development of preventive strategies, including dietary modification, to optimise maternal cardiometabolic health in pregnancy.

Relationships between triglyceride-glucose index and incident gestational diabetes mellitus: a prospective cohort study of a Korean population using publicly available data

BACKGROUND

The connection between the triglyceride-glucose index (TyG index) and gestational diabetes mellitus (GDM) is currently debated. Our study aimed to investigate the connection between the TyG index and GDM within the Korean population.

METHODS

Using publically accessible data in Korea, we performed a secondary study on a sample of 589 pregnant women who were carrying a single fetus. The analysis employed a binary logistic regression model, some sensitivity analyses, and subgroup analysis to investigate the association between the TyG index and the occurrence of GDM. To assess the TyG index's potential to predict GDM, a receiver operating characteristic (ROC) study was also carried out.

RESULTS

The mean age of the pregnant women was 32.065 ± 3.798 years old, while the mean TyG index was 8.352 ± 0.400. The prevalence rate of GDM was found to be 6.112%. Upon adjusting for potential confounding variables, a positive association was detected between the TyG index and incident GDM (OR = 12.923, 95%CI: 3.581-46.632, p = 0.00009). The validity of this connection was further confirmed by subgroup analysis and sensitivity analyses. With an area under the ROC curve of 0.807 (95%CI: 0.734-0.879), the TyG index showed strong predictive power for GDM. The TyG index's ideal cutoff value for detecting GDM was found to be 8.632, with a sensitivity of 78.7% and a specificity of 72.2%.

CONCLUSION

The findings of our study provide evidence that an increased TyG index is significantly associated with the occurrence of GDM. Utilizing the TyG index during the 10-14 week gestational period may be a valuable tool in identifying pregnant individuals at a heightened risk for developing GDM. Early detection enables timely and efficacious interventions, thereby enhancing the prognosis of affected individuals.

Multifunctional nanoparticle-mediated combining therapy for human diseases

Combining existing drug therapy is essential in developing new therapeutic agents in disease prevention and treatment. In preclinical investigations, combined effect of certain known drugs has been well established in treating extensive human diseases. Attributed to synergistic effects by targeting various disease pathways and advantages, such as reduced administration dose, decreased toxicity, and alleviated drug resistance, combinatorial treatment is now being pursued by delivering therapeutic agents to combat major clinical illnesses, such as cancer, atherosclerosis, pulmonary hypertension, myocarditis, rheumatoid arthritis, inflammatory bowel disease, metabolic disorders and neurodegenerative diseases. Combinatorial therapy involves combining or co-delivering two or more drugs for treating a specific disease. Nanoparticle (NP)-mediated drug delivery systems, i.e., liposomal NPs, polymeric NPs and nanocrystals, are of great interest in combinatorial therapy for a wide range of disorders due to targeted drug delivery, extended drug release, and higher drug stability to avoid rapid clearance at infected areas. This review summarizes various targets of diseases, preclinical or clinically approved drug combinations and the development of multifunctional NPs for combining therapy and emphasizes combinatorial therapeutic strategies based on drug delivery for treating severe clinical diseases. Ultimately, we discuss the challenging of developing NP-codelivery and translation and provide potential approaches to address the limitations. This review offers a comprehensive overview for recent cutting-edge and challenging in developing NP-mediated combination therapy for human diseases.

Previous High-Intensity Breastfeeding Lowers the Risk of an Abnormal Fasting Glucose in a Subsequent Pregnancy Oral Glucose Tolerance Test

Breastfeeding is associated with reduced lifetime cardiometabolic risk, but little is known regarding the metabolic benefit in a subsequent pregnancy. The primary aim of this study was to investigate the association between breastfeeding duration and intensity and next pregnancy oral glucose tolerance test (OGTT) results. A retrospective cohort study was conducted from March 2020 to October 2022. All multiparous women who met inclusion criteria and gave birth during the study period were eligible for inclusion. Analysis was stratified by risk for gestational diabetes (GDM). High GDM risk criteria included previous GDM and BMI > 35 kg/m2. The association between breastfeeding duration and high-intensity breastfeeding (HIBF) and subsequent pregnancy OGTT were assessed with multivariate logistic models adjusted for statistically and clinically relevant covariables. There were 5374 multiparous participants who met the inclusion criteria for analysis. Of these, 61.7% had previously breastfed for >6 months, and 43.4% were at high risk for GDM. HIBF was associated with 47% reduced odds of an abnormal fasting glucose in a subsequent pregnancy OGTT (aOR 0.53; 95%CI 0.38-0.75; p < 0.01). There was no association between HIBF and other glucose results on the OGTT. Women who smoked were least likely to breastfeed at high intensity (aOR 0.31; 95%CI 0.21-0.47; p < 0.01). South Asian women had 65% higher odds of HIBF than women who identified as White/European (aOR 1.65; 1.36-2.00; p < 0.01). This study highlights the importance of exclusive breastfeeding to potentially reduce the prevalence of GDM and may also translate into long-term reduction of cardiometabolic risk.

The Glucose Challenge Test in Pregnancy Identifies Future Risk of Diabetes

CONTEXT

Women with gestational diabetes (GDM) have an increased future risk of type 2 diabetes but, in practice, their recommended postpartum glucose tolerance testing is often missed or substituted with measurement of A1c instead.

OBJECTIVE

We hypothesized that the antenatal screening glucose challenge test (GCT) should predict future diabetes risk and, if so, would have thresholds that identify the same degree of risk as the diagnosis of prediabetes on postpartum measurement of A1c.

METHODS

With population-based administrative databases, we identified all women in Ontario, Canada, who had a GCT in pregnancy with delivery between January 2007 and December 2017, followed by measurement of A1c and fasting glucose within 2 years postpartum (n = 141 858, including 19 034 with GDM). Women were followed over a median of 3.5 years for the development of diabetes.

RESULTS

Under the assumption of a linear exposure effect, the 1-hour post-challenge glucose concentration on the GCT was associated with an increased likelihood of developing diabetes (hazard ratio 1.39; 95% CI, 1.38-1.40). A GCT threshold of 8.0 mmol/L predicted the same 5-year risk of diabetes (6.0%; 95% CI, 5.8-6.2) as postpartum A1c 5.7% (identifying prediabetes). Moreover, in women with GDM, a GCT threshold of 9.8 mmol/L equaled prediabetes on postpartum A1c in predicting a 5-year risk of diabetes of 16.5% (14.8-18.2).

CONCLUSION

The GCT offers predictive capacity for future diabetes in pregnant women. In women with GDM, this insight could identify those at highest risk of diabetes, toward whom postpartum screening efforts should be most strongly directed.

Cellular and molecular overview of gestational diabetes mellitus: Is it predictable and preventable?

BACKGROUND

In contrast to overt diabetes mellitus (DM), gestational DM (GDM) is defined as impaired glucose tolerance induced by pregnancy, which may arise from exaggerated physiologic changes in glucose metabolism. GDM prevalence is reported to be as high as 20% among pregnancies depending on the screening method, gestational age, and the population studied. Maternal and fetal effects of uncontrolled GDM include stillbirth, macrosomia, neonatal diabetes, birth trauma, and subsequent postpartum hemorrhage. Therefore, it is essential to find the potential target population and associated predictive and preventive measures for future intensive peripartum care.

AIM

To review studies that explored the cellular and molecular mechanisms of GDM as well as predictive measures and prevention strategies.

METHODS

The search was performed in the Medline and PubMed databases using the terms "gestational diabetes mellitus," "overt diabetes mellitus," and "insulin resistance." In the literature, only full-text articles were considered for inclusion (237 articles). Furthermore, articles published before 1997 and duplicate articles were excluded. After a final review by two experts, all studies (1997-2023) included in the review met the search terms and search strategy (identification from the database, screening of the studies, selection of potential articles, and final inclusion).

RESULTS

Finally, a total of 79 articles were collected for review. Reported risk factors for GDM included maternal obesity or overweight, pre-existing DM, and polycystic ovary syndrome. The pathophysiology of GDM involves genetic variants responsible for insulin secretion and glycemic control, pancreatic β cell depletion or dysfunction, aggravated insulin resistance due to failure in the plasma membrane translocation of glucose transporter 4, and the effects of chronic, low-grade inflammation. Currently, many antepartum measurements including adipokines (leptin), body mass ratio (waist circumference and waist-to-hip ratio], and biomarkers (microRNA in extracellular vesicles) have been studied and confirmed to be useful markers for predicting GDM. For preventing GDM, physical activity and dietary approaches are effective interventions to control body weight, improve glycemic control, and reduce insulin resistance.

CONCLUSION

This review explored the possible factors that influence GDM and the underlying molecular and cellular mechanisms of GDM and provided predictive measures and prevention strategies based on results of clinical studies.

Early Metformin in Gestational Diabetes: A Randomized Clinical Trial

Importance

Gestational diabetes is a common complication of pregnancy and the optimal management is uncertain.

Objective

To test whether early initiation of metformin reduces insulin initiation or improves fasting hyperglycemia at gestation weeks 32 or 38.

Design, Setting, and Participants

Double-blind, placebo-controlled trial conducted in 2 centers in Ireland (one tertiary hospital and one smaller regional hospital). Participants were enrolled from June 2017 through September 2022 and followed up until 12 weeks' postpartum. Participants comprised 510 individuals (535 pregnancies) diagnosed with gestational diabetes based on World Health Organization 2013 criteria.

Interventions

Randomized 1:1 to either placebo or metformin (maximum dose, 2500 mg) in addition to usual care.

Main Outcomes And Measures

The primary outcome was a composite of insulin initiation or a fasting glucose level of 5.1 mmol/L or greater at gestation weeks 32 or 38.

Results

Among 510 participants (mean age, 34.3 years), 535 pregnancies were randomized. The primary composite outcome was not significantly different between groups and occurred in 150 pregnancies (56.8%) in the metformin group and 167 pregnancies (63.7%) in the placebo group (between-group difference, -6.9% [95% CI, -15.1% to 1.4%]; relative risk, 0.89 [95% CI, 0.78-1.02]; P = .13). Of 6 prespecified secondary maternal outcomes, 3 favored the metformin group, including time to insulin initiation, self-reported capillary glycemic control, and gestational weight gain. Secondary neonatal outcomes differed by group, with smaller neonates (lower mean birth weights, a lower proportion weighing >4 kg, a lower proportion in the >90% percentile, and smaller crown-heel length) in the metformin group without differences in neonatal intensive care needs, respiratory distress requiring respiratory support, jaundice requiring phototherapy, major congenital anomalies, neonatal hypoglycemia, or proportion with 5-minute Apgar scores less than 7.

Conclusion and relevance

Early treatment with metformin was not superior to placebo for the composite primary outcome. Prespecified secondary outcome data support further investigation of metformin in larger clinical trials.

Trial Registration

ClinicalTrials.gov Identifier: NCT02980276; EudraCT: 2016-001644-19.

The Regulation of Endothelin-1 in Pregnancies Complicated by Gestational Diabetes: Uncovering the Vascular Effects of Insulin

Gestational diabetes mellitus (GDM) is a condition of pregnancy defined by new-onset hyperglycemia. GDM is associated with impaired maternal endothelial and vascular reactivity. Endothelin-1 (ET-1) is a potent vasoconstrictor that contributes to endothelial dysfunction, however, its abundance and actions in GDM are unclear. Maternal plasma was obtained from pregnancies complicated by GDM (n = 24) and gestation-matched controls (n = 42); circulating ET-1 levels were assessed by ELISA. Human omental arteries from healthy pregnancies and those complicated by GDM were dissected from omental fat biopsies and collected at cesarean section. mRNA expression of ET-1 and its receptors, ETA and ETB, in addition to vascular cell adhesion molecule-1 (VCAM1) and intercellular adhesion molecule-1 (ICAM1) were assessed by qPCR (n = 28). Using wire myography, we investigated vascular constriction to ET-1 (10-11-10-4 M) in omental arteries from pregnancies complicated by GDM, compared to gestation-matched controls (n = 7). GDM cases were stratified by clinical management, diet intervention (n = 5), or insulin treatment (n = 6). Additionally, arteries from healthy pregnancies were treated with insulin (1 mU/mL (n = 7) and 10 mU/mL (n = 5)) or vehicle control. Vasoactive response to ET-1 was measured via wire myography. Circulating ET-1 levels and mRNA expression of the ET-1 system in omental arteries were not found to be significantly different between pregnancies complicated by GDM compared to healthy controls. However, we found insulin treatment during pregnancy and in ex vivo models reduced ET-1 vasoconstriction of maternal vasculature in GDM. These data suggest insulin may improve vascular function in GDM, however, further investigation is needed to define the role of ET-1 in pregnancy.

Association Between Maternal Glucose Levels in Gestational Diabetes Screening and Subsequent Hypertension

BACKGROUND

We assessed the association between maternal glucose levels in pregnancy and subsequent hypertension.

METHODS

This population-level, retrospective cohort study examined women aged 12 to 54 years with singleton pregnancies completed at ≥29 weeks of gestation from October 1, 2008 to December 1, 2018 followed until March 31, 2019 in Alberta, Canada. Women were stratified by results in the 50-gram glucose challenge test and by 75-gram oral glucose tolerance test subtypes (normal oral glucose tolerance test, elevated fasting plasma glucose only [elevated fasting], elevated postload glucose only, or both elevated fasting and postload glucose [combined]. Time to development of hypertension was modeled using Cox proportional hazards models.

RESULTS

Of 313 361 women, 231 008 (79.1%) underwent a glucose challenge test only while 60 909 (20.9%) underwent either an oral glucose tolerance test only or both. Nine thousand five hundred eighty (3.1%) developed hypertension, and 2824 (0.9%) developed cardiovascular disease over a median follow-up of 5.7 years. Every 1-mmol/L increase in glucose in the glucose challenge test increased the risk of subsequent hypertension by 15% (adjusted hazard ratio and 95% CI, 1.15 [1.14-1.16]). Among those who underwent the oral glucose tolerance test, the combined group conferred the highest risk of subsequent hypertension, followed by elevated fasting, then elevated postload glucose only (reference: glucose challenge test ≤7.1 mmol/L, adjusted hazard ratio [95% CI]: elevated postload glucose only, 1.83 [1.68-2.00]; elevated fasting 2.02 [1.70-2.40]; combined, 2.65 [2.33-3.01]). No significant associations between maternal glucose levels and cardiovascular disease were observed.

CONCLUSIONS

Increasing maternal glucose levels in pregnancy were associated with increasing risk of subsequent hypertension. These findings may help identify higher-risk women who should be targeted for earlier postpartum cardiovascular risk reduction.

The utility of plasma glycated CD59 in predicting postpartum glucose intolerance: A prospective study of women diagnosed with GDM during a period of universal GDM screening

AIMS

Gestational diabetes (GDM) is associated with the development of postpartum (PP) glucose intolerance. Plasma glycated CD59 (pGCD59) is an emerging biomarker for the detection of hyperglycaemia. The aim of this study was to assess the ability of PP pGCD59 to predict the development of PP GI as defined by the 2 h 75 g OGTT using the ADA criteria, in a cohort of women diagnosed with prior GDM in the index pregnancy using the 2 h 75 g OGTT at 24-28 weeks of gestation according to the World Health Organization (WHO) 2013 criteria.

METHODS

Of the 2017 pregnant women recruited prospectively 140 women with gestational diabetes had samples for pGCD59 taken PP at the time of the OGTT. The ability of pGCD59 to predict the results of the PP OGTT was assessed using nonparametric receiver operating characteristic (ROC) curves.

RESULTS

Women with PP glucose intolerance had significantly higher PP pGCD59 levels compared to women with normal glucose tolerance PP (3.8 vs. 2.7 SPU). PP pGCD59 identified women who developed glucose intolerance PP with an AUC of 0.80 (95% CI: 0.70-0.91). A PP pGCD59 cut-off value of 1.9 SPU generated a sensitivity of 100% (95% CI: 83.9-100), specificity of 16.9% (95% CI: 9.8-26.3), positive predictive value of 22.1% (95% CI: 21.0-22.6), and negative predictive value of 100% (95% CI: 87.4-100). PP fasting plasma glucose generated an AUC of 0.96 (95% CI: 0.89-0.99) for the identification of PP glucose intolerance.

CONCLUSION

Our study found that PP pGCD9 may be a promising biomarker to identify women not requiring PP glucose intolerance screening using the traditional OGTT. While the diagnostic accuracy of pGCD59 is good, fasting plasma glucose remains a better test for the identification of PP glucose intolerance.

Mucin1 induced trophoblast dysfunction in gestational diabetes mellitus via Wnt/β-catenin pathway

BACKGROUND

To elucidate the role of Mucin1 (MUC1) in the trophoblast function (glucose uptake and apoptosis) of gestational diabetes mellitus (GDM) women through the Wnt/β-catenin pathway.

METHODS

Glucose uptake was analyzed by plasma GLUT1 and GLUT4 levels with ELISA and measured by the expression of GLUT4 and INSR with immunofluorescence and Western blotting. Apoptosis was measured by the expression of Bcl-2 and Caspase3 by Western blotting and flow cytometry. Wnt/β-catenin signaling measured by Western blotting. In vitro studies were performed using HTR-8/SVneo cells that were cultured and treated with high glucose (HG), sh-MUC1 and FH535 (inhibitor of Wnt/β-catenin signaling).

RESULTS

MUC1 was highly expressed in the placental trophoblasts of GDM, and the Wnt/β-catenin pathway was activated, along with dysfunction of glucose uptake and apoptosis. MUC1 knockdown resulted in increased invasiveness and decreased apoptosis in trophoblast cells. The initial linkage between MUC1, the Wnt/β-catenin pathway, and glucose uptake was confirmed by using an HG-exposed HTR-8/SVneo cell model with MUC1 knockdown. MUC1 knockdown inhibited the Wnt/β-catenin signaling pathway and reversed glucose uptake dysfunction and apoptosis in HG-induced HTR-8/SVneo cells. Meanwhile, inhibition of Wnt/β-catenin signaling could also reverse the dysfunction of glucose uptake and apoptosis.

CONCLUSIONS

In summary, the increased level of MUC1 in GDM could abnormally activate the Wnt/β-catenin signaling pathway, leading to trophoblast dysfunction, which may impair glucose uptake and induce apoptosis in placental tissues of GDM women.

Focus on Metformin: Its Role and Safety in Pregnancy and Beyond

Metformin is used worldwide in the treatment of type 2 diabetes and has been used in the treatment of diabetes in pregnancy since the 1970s. It is highly acceptable to patients due to its ease of administration, cost and adverse effect profile. It is effective in reducing macrosomia, large-for-gestational-age infants and reduces maternal weight gain. Despite its many advantages, metformin has been associated with reductions in foetal size and has been associated with an increase in infants born small-for-gestational-age in certain cohorts. In this article, we review its efficacy, adverse effects and long-term follow-up before, during and after pregnancy for both mother and infant. We also evaluate the other forms of treatment for gestational diabetes, including oral therapies, insulin therapy and emerging treatments.

Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy

BACKGROUND

Early prediction of Gestational Diabetes Mellitus (GDM) risk is of particular importance as it may enable more efficacious interventions and reduce cumulative injury to mother and fetus. The aim of this study is to develop machine learning (ML) models, for the early prediction of GDM using widely available variables, facilitating early intervention, and making possible to apply the prediction models in places where there is no access to more complex examinations.

METHODS

The dataset used in this study includes registries from 1,611 pregnancies. Twelve different ML models and their hyperparameters were optimized to achieve early and high prediction performance of GDM. A data augmentation method was used in training to improve prediction results. Three methods were used to select the most relevant variables for GDM prediction. After training, the models ranked with the highest Area under the Receiver Operating Characteristic Curve (AUCROC), were assessed on the validation set. Models with the best results were assessed in the test set as a measure of generalization performance.

RESULTS

Our method allows identifying many possible models for various levels of sensitivity and specificity. Four models achieved a high sensitivity of 0.82, a specificity in the range 0.72-0.74, accuracy between 0.73-0.75, and AUCROC of 0.81. These models required between 7 and 12 input variables. Another possible choice could be a model with sensitivity of 0.89 that requires just 5 variables reaching an accuracy of 0.65, a specificity of 0.62, and AUCROC of 0.82.

CONCLUSIONS

The principal findings of our study are: Early prediction of GDM within early stages of pregnancy using regular examinations/exams; the development and optimization of twelve different ML models and their hyperparameters to achieve the highest prediction performance; a novel data augmentation method is proposed to allow reaching excellent GDM prediction results with various models.

Gestational Diabetes Mellitus, Postpartum Lipidomic Signatures, and Subsequent Risk of Type 2 Diabetes: A Lipidome-Wide Association Study

OBJECTIVE

To identify a postpartum lipidomic signature associated with gestational diabetes mellitus (GDM) and investigate the role of the identified lipids in the progression to type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

This prospective cohort study enrolled 1,409 women at 24-72 h after delivery of a singleton baby and followed them prospectively at the Boston Medical Center. The lipidome was profiled by liquid chromatography-tandem mass spectrometry. Diagnoses of GDM and incident T2D were extracted from medical records and verified using plasma glucose levels.

RESULTS

Mean (SD) age of study women at baseline was 28.5 (6.6) years. A total of 219 (16.4%) women developed incident diabetes over a median follow-up of 11.8 (interquartile range 8.2-14.8) years. We identified 33 postpartum lipid species associated with GDM, including 16 inverse associations (primarily cholesterol esters and phosphatidylcholine plasmalogens), and 17 positive associations (primarily diacyglycerols and triacyglycerols). Of these, four were associated with risk of incident T2D and mediated ∼12% of the progression from GDM to T2D. The identified lipid species modestly improved the predictive performance for incident T2D above classical risk factors when the entire follow-up period was considered.

CONCLUSIONS

GDM was associated with a wide range of lipid metabolic alterations at early postpartum, among which some lipid species were also associated with incident T2D and mediated the progression from GDM to T2D. The improvements attained by including lipid species in the prediction of T2D provides new insights regarding the early detection and prevention of progression to T2D.

Genetics and Epigenetics: Implications for the Life Course of Gestational Diabetes

Gestational diabetes (GDM) is one of the most common complications of pregnancy, affecting as many as one in six pregnancies. It is associated with both short- and long-term adverse outcomes for the mother and fetus and has important implications for the life course of affected women. Advances in genetics and epigenetics have not only provided new insight into the pathophysiology of GDM but have also provided new approaches to identify women at high risk for progression to postpartum cardiometabolic disease. GDM and type 2 diabetes share similarities in their pathophysiology, suggesting that they also share similarities in their genetic architecture. Candidate gene and genome-wide association studies have identified susceptibility genes that are shared between GDM and type 2 diabetes. Despite these similarities, a much greater effect size for MTNR1B in GDM compared to type 2 diabetes and association of HKDC1, which encodes a hexokinase, with GDM but not type 2 diabetes suggest some differences in the genetic architecture of GDM. Genetic risk scores have shown some efficacy in identifying women with a history of GDM who will progress to type 2 diabetes. The association of epigenetic changes, including DNA methylation and circulating microRNAs, with GDM has also been examined. Targeted and epigenome-wide approaches have been used to identify DNA methylation in circulating blood cells collected during early, mid-, and late pregnancy that is associated with GDM. DNA methylation in early pregnancy had some ability to identify women who progressed to GDM, while DNA methylation in blood collected at 26-30 weeks gestation improved upon the ability of clinical factors alone to identify women at risk for progression to abnormal glucose tolerance post-partum. Finally, circulating microRNAs and long non-coding RNAs that are present in early or mid-pregnancy and associated with GDM have been identified. MicroRNAs have also proven efficacious in predicting both the development of GDM as well as its long-term cardiometabolic complications. Studies performed to date have demonstrated the potential for genetic and epigenetic technologies to impact clinical care, although much remains to be done.

The Role of Lifestyle Interventions in the Prevention and Treatment of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is one of the most common pregnancy-related endocrinopathies, affecting up to 25% of pregnancies globally. GDM increases the risk of perinatal and delivery complications, and the chance of developing type 2 diabetes mellitus and its complications, including cardiovascular diseases. This elevated risk is then passed on to the next generation, creating a cycle of metabolic dysfunction across generations. For many years, GDM preventive measures have had inconsistent results, but recent systematic reviews and meta-analyses have identified promising new preventative routes. This review aims to summarize the evidence investigating the efficacy of lifestyle treatments for the prevention of GDM and to summarize the effects of two lifestyle interventions, including physical activity and dietary interventions. Based on the present research, future studies should be conducted to investigate whether initiating lifestyle interventions during the preconception period is more beneficial in preventing GDM. In addition, research targeting pregnancy should be designed with a personalized approach. Therefore, studies should customize intervention approaches depending on the presence of modifiable and non-modifiable risk factors at the individual level.

Lipolysis and gestational diabetes mellitus onset: a case-cohort genome-wide association study in Chinese

BACKGROUND

Genetic knowledge of gestational diabetes mellitus (GDM) in Chinese women is quite limited. This study aimed to identify the risk factors and mechanism of GDM at the genetic level in a Chinese population.

METHODS

We conducted a genome-wide association study (GWAS) based on single nucleotide polymorphism (SNP) array genotyping (ASA-CHIA Bead chip, Illumina) and a case-cohort study design. Variants including SNPs, copy number variants (CNVs), and insertions-deletions (InDels) were called from genotyping data. A total of 2232 pregnant women were enrolled in their first/second trimester between February 2018 and December 2020 from Anqing Municipal Hospital in Anhui Province, China. The GWAS included 193 GDM patients and 819 subjects without a diabetes diagnosis, and risk ratios (RRs) and their 95% confidence intervals (CIs) were estimated by a regression-based method conditional on the population structure. The calling and quality control of genotyping data were performed following published guidelines. CNVs were merged into CNV regions (CNVR) to simplify analyses. To interpret the GWAS results, gene mapping and overexpression analyses (ORAs) were further performed to prioritize the candidate genes and related biological mechanisms.

RESULTS

We identified 14 CNVRs (false discovery rate corrected P values < 0.05) and two suggestively significant SNPs (P value < 0.00001) associated with GDM, and a total of 19 candidate genes were mapped. Ten genes were significantly enriched in gene sets related to lipase (triglyceride lipase and lipoprotein lipase) activity (LIPF, LIPK, LIPN, and LIPJ genes), oxidoreductase activity (TPH1 and TPH2 genes), and cellular components beta-catenin destruction complex (APC and GSK3B genes), Wnt signalosome (APC and GSK3B genes), and lateral element in the Gene Ontology resource (BRCA1 and SYCP2 genes) by two ORA methods (adjusted P values < 0.05).

CONCLUSIONS

Genes related to lipolysis, redox reaction, and proliferation of islet β-cells are associated with GDM in Chinese women. Energy metabolism, particularly lipolysis, may play an important role in GDM aetiology and pathology, which needs further molecular studies to verify.

Lifestyle intervention for the prevention of type 2 diabetes in women with prior gestational diabetes: A systematic review and meta-analysis

AIM

To determine whether current evidence supports lifestyle intervention for type 2 diabetes (T2D) prevention in women with previous gestational diabetes (GD).

METHODS

We systematically searched MEDLINE/PubMed, Web of Science, EMBASE, The Cochrane Library, International Pharmaceutical Abstracts, Global Health, Sinomed and Clinicaltrials.gov for randomized controlled trials (published from 1 January 1950 to 14 December 2022) comparing lifestyle intervention with standard care in women with previous GD. Our primary outcome was incident T2D, with pooled estimates calculated by a fixed-effects model.

RESULTS

Of 1652 studies identified, 13 were eligible and were included in our analysis (N = 3745 women). Compared with standard care, lifestyle intervention yielded a reduction of 24% in the incidence of T2D (relative risk 0.76 [95% CI 0.63-0.93]). Meta-regression analyses revealed no impact of the duration of lifestyle intervention (P = .81) or baseline body mass index (P = .90) on the observed reduction in incident T2D. Importantly, this published literature shows evidence of publication bias on funnel plot and Egger test (P = .048).

CONCLUSIONS

Current published evidence suggests that lifestyle intervention can reduce the risk of T2D in women with prior GD. However, this finding should be interpreted with caution in the presence of documented publication bias.

Effects of low-GI biscuits as pre-loads or mid-meal snacks on post-prandial glycemic excursions in women with recent gestational diabetes: A protocol for a randomized crossover trial and an extended tailored intervention

Background

Increased post-prandial glycemic excursions contribute to the development of diabetes and have been observed in women with recent gestational diabetes mellitus (GDM) and with normal glucose tolerance at post-partum. As a convenient meal replacement, low-GI biscuits are helpful for improving glycemic excursions in patients with type 2 diabetes. However, it is unknown whether low-GI biscuits as pre-loads or mid-meal snacks have a better effect in diminishing post-prandial glycemic excursions from the individual level in women with recent GDM. Therefore, the aim of this trial is to tailor a better dietary strategy utilizing low-GI biscuits (Fitmeal) to improve post-prandial glycemic excursions through within-subject comparison in such a population and observe the long-term effect of a tailored dietary approach in glycemic control.

Methods

We have designed a two-phase trial including a randomized, crossover, non-blinded trial in the first phase, followed by a 4-week tailored intervention in the second phase. A total of 52 post-partum women with recent GDM will be allocated into four meal plans: (1) Fitmeal pre-load 30 min before standard lunch meal (P+L), (2) Fitmeal as a mid-meal snack 2 h before standard lunch meal (S+L), (3) isocaloric standard control with co-ingestion of Fitmeal and standard lunch meal (CL) at the same time, and (4) placebo control with 200 ml of water taken 30 min before standard lunch meal (W + L), on four consecutive days. Acute post-prandial glycemic response (PGR) measured by continuous glucose monitoring (CGM) will be compared among the four meals. In the second phase, all participants will receive a 4-week tailored intervention using Fitmeal as pre-loads or mid-meal snacks based on within-subject PGR results from the first phase. Glycemic metrics, dietary behaviors, and psychosocial factors (e.g., quality of life, self-efficacy, perceived stress, and depression) will be examined at baseline and end-point.

Discussion

This trial is expected to optimize the use of low-GI biscuits as pre-loads or mid-meal snacks in improving individual post-prandial glycemic excursions among women with recent GDM. Furthermore, the findings of this study will provide novel information on how to deliver an effective dietary intervention at the individual level and guide future clinical practice of medical nutrition therapy for diabetes prevention.

Trial registration number

Chinese clinical trial registry, ChiCTR2200060923.

Mediating effect of vascular risk factors underlying the link between gestational diabetes and cardiovascular disease

BACKGROUND

Women with gestational diabetes (GDM) have an elevated lifetime incidence of cardiovascular disease (CVD), but the basis of this excess risk remains to be established. In this context, we hypothesized that chronic exposure to adverse cardiovascular risk factors may contribute to their elevated risk of CVD. We thus sought to quantify the determinants of CVD risk in women with a history of GDM by performing mediation analyses.

METHODS

Women in Ontario, Canada, with a live-birth pregnancy between Jan 1998 and Dec 2017 (n=757,541) were followed for a median of 13.2 years and stratified into the following 4 groups: women with GDM who developed CVD (GDM+/CVD+); women without GDM who developed CVD (GDM-/CVD+); those with GDM but no CVD (GDM+/CVD-); and those with neither GDM nor CVD (GDM-/CVD-). Lipids (total cholesterol, LDL, HDL, triglycerides) and glycemic variables (A1c, fasting glucose) were measured between 4.3±3.0 and 4.8±3.4 times over follow-up.

RESULTS

On successive measurements at a median of 4.8, 7.1, and 8.7 years postpartum, respectively, each lipid and glycemic measure progressively worsened from GDM-/CVD- to GDM+/CVD- to GDM-/CVD+ to GDM+/CVD+ (all p&lt;0.0001). At each point in time, each of the lipid and glycemic measures was significantly worse in GDM+/CVD+ compared to GDM+/CVD- (all p&lt;0.001). Moreover, among women who did not develop CVD, all lipid and glycemic measures were significantly worse in those with previous GDM (all p&lt;0.001 for GDM+/CVD- vs GDM-/CVD-). Mediation analyses revealed that the dominant determinants of CVD risk in women with GDM were A1c (56.0% mediation, 95%CI 47.4-67.8) and fasting glucose (47.4%, 38.8-60.8), followed by HDL (25.2%, 21.3-30.7) and triglycerides (12.1%, 9.7-15.6). Upon exclusion of those who developed diabetes during follow-up, the key determinants were HDL (40.8%), fasting glucose (37.7%), A1c (28.6%), triglycerides (21.0%), and LDL (9.9%).

CONCLUSIONS

Adverse glycemic and lipid measures mediate the elevated risk of CVD in women with previous GDM, with the impact of lipids particularly evident in those who do not develop diabetes. These findings thus identify potential targets for risk factor monitoring and ultimately early intervention towards the goal of primary prevention of CVD in this at-risk patient population.

Association Between Gestational Diabetes Mellitus and the Risks of Type-Specific Cardiovascular Diseases

Objective

Gestational diabetes mellitus (GDM) has been linked to subsequent overall cardiovascular diseases. However, evidence on the associations of GDM with type-specific cardiovascular diseases is lacking, and findings on the potential impact of type 2 diabetes on the associations are not consistent. This study aimed to explore the associations between GDM and the risks of type-specific cardiovascular diseases.

Methods

Data were from 12,025 women (≥20 years) who had delivered at least one live birth in the National Health and Nutrition Examination Survey, 2007–2018. GDM history and type-specific cardiovascular diseases including coronary heart disease (CHD), heart failure and stroke were defined by self-report. We also combined our results with those from previously related publications on the associations between GDM and risks of type-specific cardiovascular diseases with a random-effect model.

Results

Compared with women without GDM, the multivariable-adjusted odds ratios (95% confidence intervals) were 1.82 (1.21–2.72) for CHD, 1.43 (0.80–2.53) for heart failure, and 1.19 (0.76–1.86) for stroke among women with a history of GDM. Type 2 diabetes was associated with 43.90, 67.44, and 63.16% of the excess odds of CHD, heart failure and stroke associated with GDM, respectively. Combining results from this study with those from previously related studies yielded odds ratios (95% confidence intervals) of 1.81 (1.60–2.05) for CHD (12 studies, 7,615,322 participants, I²= 72.6%), 1.66 (1.25–2.21) for heart failure (5 studies, 4,491,665 participants, I²= 88.6%), and 1.25 (1.07–1.46) for cerebrovascular disease (9 studies, 6,090,848 participants, I²= 77.8%).

Conclusions

GDM showed stronger associations with coronary heart diseases and heart failure than cerebrovascular disease, and the excess risks are attributable, in part, to type 2 diabetes.