Women with a history of gestational diabetes mellitus present an accumulation of cardiovascular risk factors at age 46-A birth cohort study.

INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) is globally increasing, and it has been associated with later type 2 diabetes, metabolic syndrome (MetS), and cardiovascular disease (CVD). However, long-term population-based studies investigating common CVD risk factors years after pregnancy are lacking. To evaluate the future mortality and morbidity in cardiovascular and metabolic diseases, we conducted a thorough investigation of midlife risk factors in women with and without previous GDM. MATERIAL AND METHODS: A prospective population-based cohort study was conducted of 3173 parous women from the Northern Finland Birth Cohort, 1966. Subjects were obtained from the national register or patient records. Those with a GDM diagnosis formed the GDM cohort (n = 271), and those without a previous GDM diagnosis formed the control cohort (n = 2902). Clinical examinations were performed on participants at the age of 46 and included anthropometric measurements, oral glucose tolerance test (OGTT), biochemical measurements, and cardiovascular assessment. RESULTS: At the age of 46, women in the GDM cohort had a higher body mass index (BMI, 29.0 kg/m2 vs 26.3 kg/m2, p < 0.001) and greater waist circumference (94.1 cm vs 86.5 cm, p < 0.001) than the control cohort. In the GDM cohort, a higher incidence of impaired glucose tolerance (12.6% vs 7.3%, p = 0.002), more previously diagnosed and OGTT-detected type 2 diabetes (23.3% vs 3.9%, p < 0.001), lower high-density lipoprotein (1.53 mmol/L vs 1.67 mmol/L, p = 0.011), higher triglycerides (1.26 mmol/L vs 1.05 mmol/L, p = 0.002) and a higher fatty liver index (6.82 vs 2.47, p < 0.001), were observed even after adjusting for BMI, polycystic ovary syndrome, parity, level of education, physical activity, smoking, and alcohol consumption. The women in the GDM cohort also had more MetS (42.6% vs 21.9%, p < 0.001) and higher risk scores for CVD and fatal events (Framingham 4.95 vs 3.60, p < 0.001; FINRISK 1.71 vs 1.08, p < 0.001). CONCLUSIONS: Women with a previous diagnosis of GDM exhibit more risk factors for CVD in midlife and are at a higher risk for cardiovascular events later in life.

Association of BDNF polymorphism with gestational diabetes mellitus risk: a novel insight into genetic predisposition.

OBJECTIVES: Gestational diabetes mellitus (GDM) is a prevalent metabolic disorder during pregnancy with potential long-term health implications for the mother and child. The interplay between genetics and GDM susceptibility remains an area of active research. Recently, brain-derived neurotrophic factor (BDNF) was investigated in relation to obesity and impaired glucose metabolism and pathogenesis. We aimed to investigate the association of common BDNF polymorphisms, with GDM risk in Israeli females. METHODS: A cohort of 4,025 Israeli women data for BDNF common SNPs was analyzed for potential association with GDM using binary logistic regressions analysis (SPSS 29.0 and R) adjusted for confounding variables (age, T1DM, T2DM, PCOS) under different genetic models. RESULTS: The GDM and Non-GDM genetic frequencies for the BDNF rs925946 Tag-SNP were significantly different. The genetic frequencies were 54.16 %, and 66.91 % for the wild type (GG), 38.88 and 29.64 % for the heterozygotes (TC), and 6.94 and 3.48 % for the risk allele homozygotes (TT) for the GDM non-GDM populations, respectively. Carriers of BDNF rs925946 were significantly associated with higher risk for GDM, following the dominant genetic model (OR=1.7, 95 % CI 1.21-2.39, p=0.002), the recessive genetic model (OR=2.05, 95 % CI 1.04-4.03, p=0.03), and the additive genetic model (OR=1.62, 95 % CI 1.13-2.3, p=0.008). This association persisted after adjusting for age, T1DM, T2DM, and polycystic ovary syndrome (PCOS). CONCLUSIONS: Carrying BDNF rs925946 polymorphism predisposes to a higher risk of GDM pathogenesis. Its role and implications warrant further investigation, especially when considering preventive measures for GDM development.

Postpartum diabetes and cardiometabolic outcomes among Indian (South Asian) women with early Gestational diabetes mellitus: Insights from the CHIP-F study.

Early GDM is associated with adverse pregnancy outcomes, however data on other outcomes are scarce. We evaluated women with early (n = 117) and classical (n = 412) GDM for long-term postpartum (median 32 months) glycemic and cardiometabolic outcomes and found a significantly higher prevalence of diabetes in the former [22.2 % vs. 12.6 %, p = 0.010].

Twin Pregnancy Complicated by Gestational Diabetes Mellitus: Maternal and Neonatal Outcomes.

Context: The risk of gestational diabetes mellitus (GDM) in twin pregnancies is more than double that of singleton pregnancies. Although twin pregnancies present unique challenges for fetal growth and prenatal management, the approach to GDM diagnosis and treatment is the same regardless of plurality. Data on pregnancy outcomes for individuals with GDM and a twin pregnancy are limited and conflicting. Objective: To describe the maternal characteristics associated with GDM in twin pregnancies and to assess the associated pregnancy outcomes compared to twin pregnancies unaffected by GDM. Methods: A retrospective cohort study was conducted at Mayo Clinic, Rochester, Minnesota, USA, and included predominantly Causasian women aged 18 to 45 years who received prenatal care for a twin pregnancy from 2017-2022. Maternal characteristics and a broad spectrum of pregnancy outcomes were evaluated. Universal GDM screening involved a 50 g oral glucose challenge test +/- a 100 g oral glucose tolerance test. Results: GDM was diagnosed in 23% pregnancies (n = 104/452). Compared to those without, women with GDM had known risk factors including a higher prepregnancy body mass index (31.1vs 26.3 kg/m2; P < .01) and a prior history of GDM (21.7 vs 5.9%; P < .01). There were no differences in maternal pregnancy complications or neonatal outcomes between groups. Attendance at postpartum glucose testing among women with GDM was poor at 27.9% (29/104). Conclusion: These data suggest that women with twin pregnancies share a similar GDM risk profile to those with singleton pregnancies and provide reassuring evidence that current management for GDM twin pregnancies produces similar outcomes to twin pregnancies without GDM.

Effects of asiaticoside on the model of gestational diabetes mellitus in HTR-8/svneo cells via PI3K/AKT pathway.

BACKGROUND: Asiaticoside (AS) has been reported to improve the changes induced by high glucose stimulation, and it may have potential therapeutic effects on gestational diabetes mellitus (GDM). This study aims to explore the effect of AS on the cell model of GDM and the action mechanism of the PI3K/AKT pathway. METHODS: The GDM model was established in HTR-8/Svneo cells with a high glucose (HG) medium. After the cytotoxicity assay of AS, cells were divided into the control group, HG group and HG + AS group to conduct control experiment in cells. The cell proliferation and migration were detected by CCK-8 assay and scratch test, respectively. The mRNA levels of PI3K, AKT2, mTORC1, and GLUT4 in PI3K/AKT signalling pathway were measured by RT-PCR, and the protein expressions of these signalling molecules were monitored by western blot. RESULTS: AS showed a promotion effect on the cell proliferation rate of HTR-8/Svneo cells, and 80 µmol/L AS with a treatment time of 48 h had no cytotoxicity. The cell proliferation rate, migration rate, mRNA levels and protein expressions of PI3K, AKT2, mTORC1, and GLUT4 in the HG group were significantly lower than those in the control group, which were significantly increased in the HG + AS group (p < 0.05). CONCLUSIONS: AS can facilitate the cell proliferation and migration in the cell model of GDM, and might play a role in GDM treatment via PI3K/AKT pathway.

Asiaticoside possesses various pharmacological effects and has been reported to show a beneficial effect on the treatment of diabetes mellitus. This research firstly investigated the effect and mechanism of asiaticoside on gestational diabetes mellitus, and found that asiaticoside could facilitate the cell proliferation and migration of HTR-8/Svneo cells treated with high glucose, and affect the signalling molecules of PI3K/AKT pathway. Therefore, asiaticoside may be a novel useful therapeutic drug in the treatment of gestational diabetes mellitus.

Development and validation of interprofessional health education module for the management of gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is a glucose intolerance that shows its first onset during pregnancy. In India, GDM affects as many as 5 million women annually. The interprofessional collaborative educational intervention is crucial for GDM management. This study illustrates the collaborative effort in developing and validating an interprofessional health education module designed for healthcare professionals during consultation sessions with GDM patients. MATERIALS AND METHODS: The investigation involved three stages: 1) needs assessment for module contents and objectives, 2) health education module development by an interprofessional team, and 3) module validation. We received ethics approval from the institution's ethics committee. RESULTS: The interprofessional team developed and validated the evidence-based English-printed module. The module had 27 units and covered six topics: an introduction to GDM and its management, dietary recommendations for GDM, exercise, yoga recommendations for GDM, weight control, and postpartum care. CONCLUSION: The interprofessional team developed the educational module, wherein there is an integration of the domains of exercise and yoga along with medicines and nutrition therapy. The module was developed based on local requirements and evidence-based practices. Healthcare professionals can use the interprofessional health education module when advising diabetic pregnant patients.

The association between ultra-processed food and common pregnancy adverse outcomes: a dose-response systematic review and meta-analysis.

OBJECTIVES: Given the increasing incidence of negative outcomes during pregnancy, our research team conducted a dose-response systematic review and meta-analysis to investigate the relationship between ultra-processed foods (UPFs) consumption and common adverse pregnancy outcomes including gestational diabetes mellitus (GDM), preeclampsia (PE), preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA) infants. UPFs are described as formulations of food substances often modified by chemical processes and then assembled into ready-to-consume hyper-palatable food and drink products using flavors, colors, emulsifiers, and other cosmetic additives. Examples include savory snacks, reconstituted meat products, frozen meals that have already been made, and soft drinks. METHODS: A comprehensive search was performed using the Scopus, PubMed, and Web of Science databases up to December 2023. We pooled relative risk (RR) and 95% confidence intervals (CI) using a random-effects model. RESULTS: Our analysis (encompassing 54 studies with 552,686 individuals) revealed a significant association between UPFs intake and increased risks of GDM (RR = 1.19; 95% CI: 1.10, 1.27; I2 = 77.5%; p < 0.001; studies = 44; number of participants = 180,824), PE (RR = 1.28; 95% CI: 1.03, 1.59; I2 = 80.0%; p = 0.025; studies = 12; number of participants = 54,955), while no significant relationships were found for PTB, LBW and SGA infants. Importantly, a 100 g increment in UPFs intake was related to a 27% increase in GDM risk (RR = 1.27; 95% CI: 1.07, 1.51; I2 = 81.0%; p = 0.007; studies = 9; number of participants = 39,812). The non-linear dose-response analysis further indicated a positive, non-linear relationship between UPFs intake and GDM risk Pnonlinearity = 0.034, Pdose-response = 0.034), although no such relationship was observed for PE (Pnonlinearity = 0.696, Pdose-response = 0.812). CONCLUSION: In summary, both prior to and during pregnancy, chronic and excessive intake of UPFs is associated with an increased risk of GDM and PE. However, further observational studies, particularly among diverse ethnic groups with precise UPFs consumption measurement tools, are imperative for a more comprehensive understanding.

No role of the third-trimester inflammatory factors in the association of gestational diabetes mellitus with postpartum cardiometabolic indicators.

BACKGROUND: The influence of gestational diabetes mellitus (GDM) on postpartum cardiometabolic indicators is primarily restricted to glucose and lipid metabolism, however the indicators for liver and kidney function have been rarely explored, and the role of the third-trimester inflammatory factors in these associations has never been investigated. METHODS: Based on the Ma'anshan birth cohort (MABC), women with or without GDM history were selected and invited to participate in a 6-year postpartum follow-up. The fasting blood samples were collected to measure 16 comprehensive metabolic indicators during a 6-year postpartum follow-up: fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), triglycerides (TG), total cholesterol (TC), uric acid (UA), blood urea nitrogen (BUN), serum creatinine (SCR), etc. Seven inflammatory factors, including TNF-α, IFN-γ, IL-1ß, IL-6, IL-10, IL-12p70, and IL-17 A, were measured with serum samples collected during the third trimester of pregnancy. Linear regression models were used to analyze the associations between GDM and 6-year postpartum metabolic indicators, GDM and third-trimester inflammatory factors, and the third-trimester inflammatory factors and 6-year postpartum metabolic indicators. Mediating and moderating effect analyses were further performed to explore if the third-trimester inflammatory factors mediate or modify the association between GDM and postpartum cardiometabolic indicators. RESULTS: From July 2021 to August 2022, 307 participants have been followed up, with 99 women with a prior GDM history. Compared with those without GDM, individuals with a prior history of GDM had significantly elevated levels of FPG (ß = 0.40, 95% CI: 0.18 to 0.62, PFDR < 0.001), HbA1c (ß = 0.22, 95% CI: 0.09 to 0.34, PFDR = 0.009), TyG (ß = 0.22, 95% CI: 0.07 to 0.37, PFDR = 0.024) at 6 years postpartum, and the association between GDM and SCR (ß = 2.43, 95% CI: 0.02 to 4.85, PFDR = 0.144) reached nominal significance level. GDM history was associated with a decreased level of third-trimester IL-17 A (ß = -0.58, 95% CI: -0.99 to -0.18, PFDR = 0.035). No significant association between third-trimester inflammatory factors and 6-year postpartum metabolic indicators was observed. And no mediating or moderating effect of third-trimester inflammatory factors was observed in those associations. CONCLUSION: A prior history of GDM was significantly associated with elevated FPG, HbA1c, and TyG in women at 6 years postpartum, whereas third-trimester inflammatory factors had no role in mediating or moderating these associations.

Association between maternal and fetal inflammatory biomarkers and offspring weight and BMI during the first year of life in pregnancies with GDM: MySweetheart study.

Background: Gestational Diabetes Mellitus (GDM) is frequently associated with chronic, low-grade inflammation. Whether this environment affects offspring anthropometry during early childhood remains to be elucidated. The aim of this study was to investigate the associations between maternal and fetal (cord blood-umbilical artery) inflammatory biomarkers and offspring weight and BMI up to 1 year in pregnancies with GDM. Methods: In this prospective secondary analysis of the MySweetheart study, we included 193 women with GDM and their offspring. Maternal and fetal (N=39) predictors included serum levels of inflammatory biomarkers including CRP, IL-6, and TNF-α at 24-32 weeks of gestational age (GA) and in the cord blood. Offspring outcomes were small and large for gestational age (SGA, LGA), sex- and age-adjusted weight, and BMI at birth and at 1 year. Univariate and multivariate regression models were performed. Associations were adjusted for maternal pre-pregnancy BMI, age, and ethnicity. Results: Mean maternal age was 33.6 ± 4.8 years, and pre-pregnancy BMI 25.9 ± 5.6 kg/m2. Their mean gestational age at the 1st GDM visit was 29 ± 2.4 weeks. Gestational age at delivery was 39.7 ± 1.1 weeks, with a mean birthweight of 3.4 ± 0.46 kg; 11.8% of offspring were LGA and 10.8% were SGA. At 1 year of age, mean offspring weight was 9.8 ± 1.2 kg and BMI z-score 0.23 ± 1.1 kg/m2. In the models including only maternal predictors, TNF-α at 24-32 weeks of GA was positively associated with SGA and inversely with offspring weight and BMI at birth and at 1 year (p ≤0.034). In the models including only fetal predictors and the combined model, CRP was inversely associated with BMI at 1 year (p ≤0.020). Conclusions: In women with GDM, maternal and fetal inflammatory biomarkers distinctively influenced offspring anthropometry during the first year of life, independent of maternal age, prepregnancy BMI and ethnicity. These results suggest that low-grade inflammation during pregnancy may affect the developing offspring by leading to a decrease in weight and BMI and may have implications for future personalized follow-up of women with GDM and their offspring.

Ultrasonographic placental parameters at 11-13+6 weeks' gestation in the prediction of complications in pregnancy after assisted reproductive technology.

OBJECTIVE: To evaluate the performance of maternal factors, biophysical and biochemical markers at 11-13 + 6 weeks' gestation in the prediction of gestational diabetes mellitus with or without large for gestational age (GDM ± LGA) fetus and great obstetrical syndromes (GOS) among singleton pregnancy following in-vitro fertilisation (IVF)/embryo transfer (ET). MATERIALS AND METHODS: A prospective cohort study was conducted between December 2017 and January 2020 including patients who underwent IVF/ET. Maternal mean arterial pressure (MAP), ultrasound markers including placental volume, vascularisation index (VI), flow index (FI) and vascularisation flow index (VFI), mean uterine artery pulsatility index (mUtPI) and biochemical markers including placental growth factor (PlGF) and soluble fms-like tyrosine kinase-1 (sFlt-1) were measured at 11-13 + 6 weeks' gestation. Logistic regression analysis was performed to determine the significant predictors of complications. RESULTS: Among 123 included pregnancies, 38 (30.9%) had GDM ± LGA fetus and 28 (22.8%) had GOS. The median maternal height and body mass index were significantly higher in women with GDM ± LGA fetus. Multivariate logistic regression analysis demonstrated that in the prediction of GDM ± LGA fetus and GOS, there were significant independent contributions from FI MoM (area under curve (AUROC) of 0.610, 95% CI 0.492-0.727; p = 0.062) and MAP MoM (AUROC of 0.645, 95% CI 0.510-0.779; p = 0.026), respectively. CONCLUSION: FI and MAP are independent predictors for GDM ± LGA fetus and GOS, respectively. However, they have low predictive value. There is a need to identify more specific novel biomarkers in differentiating IVF/ET pregnancies that are at a higher risk of developing complications.

Identification and validation of gestational diabetes subgroups by data-driven cluster analysis.

AIMS/HYPOTHESIS: Gestational diabetes mellitus (GDM) is a heterogeneous condition. Given such variability among patients, the ability to recognise distinct GDM subgroups using routine clinical variables may guide more personalised treatments. Our main aim was to identify distinct GDM subtypes through cluster analysis using routine clinical variables, and analyse treatment needs and pregnancy outcomes across these subgroups. METHODS: In this cohort study, we analysed datasets from a total of 2682 women with GDM treated at two central European hospitals (1865 participants from Charité University Hospital in Berlin and 817 participants from the Medical University of Vienna), collected between 2015 and 2022. We evaluated various clustering models, including k-means, k-medoids and agglomerative hierarchical clustering. Internal validation techniques were used to guide best model selection, while external validation on independent test sets was used to assess model generalisability. Clinical outcomes such as specific treatment needs and maternal and fetal complications were analysed across the identified clusters. RESULTS: Our optimal model identified three clusters from routinely available variables, i.e. maternal age, pre-pregnancy BMI (BMIPG) and glucose levels at fasting and 60 and 120 min after the diagnostic OGTT (OGTT0, OGTT60 and OGTT120, respectively). Cluster 1 was characterised by the highest OGTT values and obesity prevalence. Cluster 2 displayed intermediate BMIPG and elevated OGTT0, while cluster 3 consisted mainly of participants with normal BMIPG and high values for OGTT60 and OGTT120. Treatment modalities and clinical outcomes varied among clusters. In particular, cluster 1 participants showed a much higher need for glucose-lowering medications (39.6% of participants, compared with 12.9% and 10.0% in clusters 2 and 3, respectively, p<0.0001). Cluster 1 participants were also at higher risk of delivering large-for-gestational-age infants. Differences in the type of insulin-based treatment between cluster 2 and cluster 3 were observed in the external validation cohort. CONCLUSIONS/INTERPRETATION: Our findings confirm the heterogeneity of GDM. The identification of subgroups (clusters) has the potential to help clinicians define more tailored treatment approaches for improved maternal and neonatal outcomes.

Adipose stem cells-derived small extracellular vesicles transport Thrombospondin 1 cargo to promote insulin resistance in gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is a highly prevalent disease and poses a significant risk to the health of pregnant women. Abdominal adipose tissue (AT) contributes to insulin resistance (IR) associated with GDM. However, the underlying mechanisms remain unclear. METHODS: In this study, we developed a mouse model of GDM by subjecting mice to a high-fat diet. We collected adipose-derived stem cells (ADSCs) from the abdominal and inguinal regions and examined their role in inducing IR in normal tissues through the secretion of small extracellular vesicles (sEVs). The sEVs derived from ADSCs isolated from GDM mice (ADSC/GDM) were found to inhibit cell viability and insulin sensitivity in AML12, a normal mouse liver cell line. RESULTS: Through proteomic analysis, we identified high levels of the thrombospondin 1 (Thbs1) protein in the sEVs derived from ADSC/GDM. Subsequent overexpression of Thbs1 protein in AML12 cells demonstrated similar IR as observed with ADSC/GDM-derived sEVs. Mechanistically, the Thbs1 protein within the sEVs interacted with CD36 and transforming growth factor (Tgf) ß receptors in AML12 cells, leading to the activation of Tgfß/Smad2 signaling. Furthermore, the administration of LSKL, an antagonistic peptide targeting Thbs1, suppressed Thbs1 expression in ADSC/GDM-derived sEVs, thereby restoring insulin sensitivity in AML12 cells and GDM mice in vivo. CONCLUSIONS: These findings shed light on the intercellular transmission mechanism through which ADSCs influence hepatic insulin sensitivity and underscore the therapeutic potential of targeting the Thbs1 protein within sEVs.

Dietary Intakes of Women with Gestational Diabetes Mellitus and Pregnancy Outcomes: A Prospective Observational Study.

Purpose: Nutrient intake for pregnant women with gestational diabetes mellitus (GDM) is important to ensure satisfactory birth outcomes. This study aims to explore the dietary profiles of patients with GDM, compare the results with the Chinese dietary guidelines or Dietary Reference Intakes (DRIs) from China and investigate the relationship between maternal dietary intake and pregnancy outcomes. Patients and Methods: A total of 221 patients with GDM in the second trimester were included in the cohort. Dietary intake data were collected using a 24-hour recall method for three consecutive days. The pregnancy outcomes of these participants were subsequently monitored. Both univariate logistic regression and multivariate logistic regression analyses were conducted to explore the associations between dietary intake variables or general characteristics variables and adverse pregnancy outcomes. Results: Participants with adverse pregnancy outcomes showed a lower intake of iodine and vitamin D, a lower percentage of dietary energy intake from carbohydrates and a higher percentage of dietary energy intake from fats, compared to participants without adverse pregnancy outcomes. The gestational weight gain and family history of diabetes were associated with an increased risk of adverse pregnancy outcomes. Conversely, regular exercise, the intake of iodine and Vitamin D, and the percentage of dietary energy intake from carbohydrates were associated with a decreased risk. Conclusion: The daily diet of pregnant women with GDM in China did not meet the dietary guidelines or DRIs. The low intake of Vitamin D and iodine, the low dietary carbohydrate ratio, family history of diabetes, lack of exercise, and high gestational weight gain were associated with increased risk of adverse pregnancy outcomes in pregnant women with GDM.

The RhoA guanine exchange factor ABR: a glucose-sensitive mediator of actin reorganization in feto-placental arterial endothelial cells altered by gestational diabetes mellitus.

In utero exposure to gestational diabetes mellitus (GDM) programs the fetus, increasing offspring risk for endothelial dysfunction and cardiovascular disease later in life. Hyperglycaemia is widely recognized as the driving force of diabetes-induced programming. We have previously shown that GDM exposure alters DNA methylation and gene expression associated with actin remodelling in primary feto-placental arterial endothelial cells (fpEC). Thus, we hypothesized that hyperglycaemic insults underlie programmed changes in fpEC morphology and actin organization by GDM. Therefore, arterial fpECs isolated after normal and GDM pregnancy, as well as normal fpECs that were exposed to hyperglycaemia in vitro, were analysed for the effect of GDM and hyperglycaemia on actin organization and network formation. Integration of gene expression and DNA methylation data identified the RhoA activator active BCR-related (ABR) as programmed by GDM and altered by in vitro hyperglycaemia. ABR silencing in GDM-exposed cells reduced RhoA activity by 34 ± 26% (P = 0.033) and restored normal fpEC phenotype. In fact, in vitro hyperglycaemia induced a similar fpEC phenotype as intrauterine exposure to GDM, i.e. round morphology and increased network formation on Matrigel by 34 ± 33% (P = 0.022) vs. 22 ± 20% for GDM (P = 0.004). Thus, we identified ABR as a novel glucose sensitive regulator of actin organization and cell shape, programmed by GDM and upregulated by hyperglycaemia. Identification of mechanisms induced by hyperglycaemia and affecting endothelial function in the long term will contribute to understanding GDM-induced programming of offspring endothelial dysfunction and cardiovascular disease. Future studies could focus on investigating the prevention or reversal of such malprogramming. KEY POINTS: In utero exposure to gestational diabetes mellitus (GDM) affects future health of the offspring, with an increased risk for endothelial dysfunction and cardiovascular disease in later life. GDM alters DNA methylation and expression of ABR in feto-placental arterial endothelial cells (fpEC), a model for endothelial cells exposed to the intrauterine environment of the fetus. GDM phenotype of fpECs is also induced by hyperglycaemia in vitro, and is characterized by altered actin organization and cell shape, which can be restored by ABR silencing. Revealing the cellular mechanisms induced by GDM and hyperglycaemia is important for understanding the mechanisms of how these conditions disturb endothelial function in the offspring.

Gut dysbiosis contributes to SCFAs reduction-associated adipose tissue macrophage polarization in gestational diabetes mellitus.

AIMS: The prevalence of gestational diabetes mellitus (GDM) has spurred investigations into various interconnected factors, among which gut dysbiosis is notably prominent. Although gut dysbiosis is strongly associated with GDM, the specific role of the gut microbiome in the pathogenesis of GDM remains unknown. This study aims to explore the pathogenesis of GDM from gut microbiota. MATERIALS AND METHODS: In our study, we constructed two GDM mice models: one induced by a high-fat diet (HFD) and the other through fecal microbiota transplantation (FMT) from GDM patients. In vitro, we used a co-culture system of RAW264.7 and 3T3-L1 adipocytes. KEY FINDINGS: We induced a GDM-like state in pregnant mice by FMT from GDM patients, which was consistent with the HFD model. A potential mechanism identified involves the diminished abundance of SCFA-producing microbiota, which reduces SCFAs, particularly propionic acid and butyric acid. In vitro, butyric and propionic acids were observed to alleviate LPS-induced TLR4-NF-κB activation, thereby reducing inflammation levels and inhibiting adipose insulin resistance via the PI3K/AKT signaling pathway. This reduction appears to trigger the polarization of adipose tissue macrophages toward M1 and promote insulin resistance in adipose tissue. SIGNIFICANCE: Our study fills this knowledge gap by finding that alterations in gut microbiota have an independent impact on hyperglycemia and insulin resistance in the GDM state. In vivo and in vitro, gut dysbiosis is linked to adipose tissue inflammation and insulin resistance via the bacterial product SCFAs in the GDM state, providing new insights into the pathogenesis of GDM.

The impact of gestational diabetes on functional capacity of the infant gut microbiome is modest and transient.

Gestational diabetes mellitus (GDM) is a metabolic complication that manifests as hyperglycemia during the later stages of pregnancy. In high resource settings, careful management of GDM limits risk to the pregnancy, and hyperglycemia typically resolves after birth. At the same time, previous studies have revealed that the gut microbiome of infants born to mothers who experienced GDM exhibit reduced diversity and reduction in the abundance of several key taxa, including Lactobacillus. What is not known is what the functional consequences of these changes might be. In this case control study, we applied 16S rRNA sequence surveys and metatranscriptomics to profile the gut microbiome of 30 twelve-month-old infants - 16 from mothers with GDM, 14 from mothers without - to examine the impact of GDM during pregnancy. Relative to the mode of delivery and sex of the infant, maternal GDM status had a limited impact on the structure and function of the developing microbiome. While GDM samples were associated with a decrease in alpha diversity, we observed no effect on beta diversity and no differentially abundant taxa. Further, while the mode of delivery and sex of infant affected the expression of multiple bacterial pathways, much of the impact of GDM status on the function of the infant microbiome appears to be lost by twelve months of age. These data may indicate that, while mode of delivery appears to impact function and diversity for longer than anticipated, GDM may not have persistent effects on the function nor composition of the infant gut microbiome.

Gestational diabetes mellitus affects the differentiation of hematopoietic stem cells in neonatal umbilical cord blood.

PURPOSE: There are abundant hematopoietic stem cells (HSCs) in cord blood. It is known that HSCs continue to differentiate to CLP, CMP and erythroid progenitor cells (EPC), EPC ultimately differentiated to platelets and erythrocytes. It has been reported that the proportion of HSCs in cord blood was higher than that in healthy pregnant women, so as the incidence of neonatal polycythemia in gestational diabetes mellitus (GDM) patients. We aimed to investigate whether the hyperglycemic and/or hyperinsulin environment in GDM patients has effects on the differentiation of HSCs into erythrocytes in offspring cord blood. METHODS: In this study, we collected cord blood from 23 GDM patients and 52 healthy pregnant women at delivery. HSCs, CLP, CMP and EPCs in cord blood of the two groups were identified and quantified by flow cytometry. HSCs were sorted out and treated with glucose and insulin, respectively, and then, the changes of HSCs proliferation and differentiation were detected. RESULTS: Compared to healthy controls, HSCs, CMP and EPC numbers in cord blood from GDM group were significantly increased, while CLP cell number was decreased. The differentiation of HSCs into EPC was promoted after treatment with glucose or insulin. CONCLUSION: There were more HSCs in the cord blood of GDM group, and the differentiation of HSCs to EPCs was increased. These findings were probably caused by the high-glucose microenvironment and insulin medication in GDM patients, and the HSCs differentiation changes might be influencing factors of the high incidence of neonatal erythrocytosis in GDM patients.

Awareness of Gestational Diabetes Mellitus Maternal and Neonatal Outcomes Among Women Attending Primary Healthcare Centers in Qassim, Saudi Arabia.

Background Gestational diabetes mellitus (GDM), diagnosed during pregnancy, can harm both mothers and neonates. GDM awareness among women varies among various countries. Understanding the level of awareness is vital for designing effective health interventions. Objectives This study aimed to evaluate GDM awareness among married females at primary healthcare centers (PHCCs) in Qassim, Saudi Arabia, focusing on knowledge regarding adverse maternal and fetal outcomes of GDM. Methods An observational cross-sectional study was conducted among married females at PHCCs in Qassim, from June 2023 to October 2023. A two-stage cluster sampling method was used. Four PHCCs were selected in the first stage, and study participants were selected from these centers in the second stage. A self-administered questionnaire was used. Statistical Product and Service Solutions (SPSS, version 23; IBM SPSS Statistics for Windows, Armonk, NY) was used for statistical analysis. Results Of the 270 participants, the majority (72.2%) demonstrated 'poor' knowledge about GDM adverse outcomes for both mothers and neonates, 17.8% demonstrated a 'fair' level, and only 10% displayed a 'good' knowledge. Participants' educational level, personal history of diabetes, and age were associated with knowledge levels. Awareness of specific outcomes related to GDM, both maternal and neonatal, varied among participants. Information on GDM was mainly obtained from mass media and personal networks, while healthcare providers were reported as the least common source. Conclusion Based on the results of our study, we conclude that educational interventions, especially involving healthcare providers, are essential to improve awareness about GDM adverse outcomes. Strategies involving educational sessions by healthcare providers and health education materials at PHCCs can improve awareness leading to effective management of GDM and improved maternal and neonatal outcomes.

Gestational diabetes mellitus may predispose to metabolic dysfunction-associated steatotic liver disease.

The development of type 2 diabetes mellitus is a major contributing factor to the worldwide health burden of metabolic dysfunction-associated steatotic liver disease (MASLD). Insulin resistance, subclinical inflammation, dyslipidemia, obesity, and hypertension are all factors in this reciprocal interaction that contribute to the development of MASLD, which includes hepatocellular carcinoma, advanced fibrosis/cirrhosis, and non-alcoholic steatohepatitis (NASH). A new risk factor for MASLD/NASH that affects the course of the disease independently throughout life is gestational diabetes mellitus (GDM). Women with a history of GDM had a higher chance of developing NASH, according to a recent study that used a large-scale database. Although the precise etiology is yet unknown, temporary disruption of pancreatic beta cell activity during pregnancy may set off systemic inflammation, affecting distant organs including the liver. Early screening and management strategies are crucial in mitigating MASLD progression and preventing adverse cardiovascular events in affected individuals.

The Placental Role in Gestational Diabetes Mellitus: A Molecular Perspective.

During pregnancy, women undergo several metabolic changes to guarantee an adequate supply of glucose to the foetus. These metabolic modifications develop what is known as physiological insulin resistance. When this process is altered, however, gestational diabetes mellitus (GDM) occurs. GDM is a multifactorial disease, and genetic and environmental factors play a crucial role in its aetiopathogenesis. GDM has been linked to both macroscopic and molecular alterations in placental tissues that affect placental physiology. This review summarizes the role of the placenta in the development of GDM from a molecular perspective, including hormonal and pro-inflammatory changes. Inflammation and hormonal imbalance, the characteristics dominating the GDM microenvironment, are responsible for placental changes in size and vascularity, leading to dysregulation in maternal and foetal circulations and to complications in the newborn. In conclusion, since the hormonal mechanisms operating in GDM have not been fully elucidated, more research should be done to improve the quality of life of patients with GDM and their future children.