Gestational Diabetes Mellitus and Subsequent Risks of Diabetes and Cardiovascular Diseases: the Life Course Perspective and Implications of Racial Disparities.

PURPOSE OF REVIEW: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications worldwide and the prevalence is continuously rising globally. Importantly, GDM is not an isolated complication of pregnancy. Growing evidence suggests that individuals with GDM, compared to those without GDM, have an increased risk of subsequent type 2 diabetes (T2D) and cardiovascular diseases (CVD). Substantial racial and ethnic disparities exist in the risk of GDM. However, the role of race and ethnicity in the progression from GDM to T2D and CVD remains unclear. The purpose of the current review is to summarize recent research about GDM and its life-course impacts on cardiometabolic health, including 1) the peak time of developing T2D and CVD risks after GDM, 2) the racial and ethnic disparities in the risk cardiometabolic diseases after GDM, 3) the biological plausibility and underlying mechanisms, and 4) recommendations for screening and prevention of cardiometabolic diseases among individuals with GDM, collectively to provide an updated review to guide future research. RECENT FINDINGS: Growing evidence has indicated that individuals with GDM had greater risks of T2D (7.4 to 9.6 times), hypertension (78% higher), and CDV events (74% higher) after GDM than their non-GDM counterparts. More recently, a few studies also suggested that GDM could slightly increase the risk of mortality. Available evidence suggests that key CVD risk factors such as blood pressure, plasma glucose, and lipids levels are all elevated as early as < 1 year postpartum in individuals with GDM. The risk of T2D and hypertension is likely to reach a peak between 3-6 years after the index pregnancy with GDM compared to normal glycemia pregnancy. Cumulative evidence also suggests that the risk of cardiometabolic diseases including T2D, hypertension, and CVD events after GDM varies by race and ethnicity. However, whether the risk is higher in certain racial and ethnic groups and whether the pattern may vary by the postpartum cardiometabolic outcome of interest remain unclear. The underlying mechanisms linking GDM and subsequent T2D and CVD are complex, often involving multiple pathways and their interactions, with the specific mechanisms varying by individuals of different racial and ethnic backgrounds. Diabetes and CVD risk screening among individuals with GDM should be initiated early during postpartum and continue, if possible, frequently. Unfortunately, adherence to postpartum glucose testing with either obstetrician or primary care providers remained poor among individuals with GDM. A life-course perspective may provide critical information to address clinical and public health gaps in postpartum screening and interventions for preventing T2D and CVD risks in individuals with GDM. Future research investigating the racial- and ethnic-specific risk of progression from GDM to cardiometabolic diseases and the role of multi-domain factors including lifestyle, biological, and socio-contextual factors are warranted to inform tailored and culture-appropriate interventions for high-risk subpopulations. Further, examining the barriers to postpartum glucose testing among individuals with GDM is crucial for the effective prevention of cardiometabolic diseases and for enhancing life-long health.

Gestational diabetes mellitus, not obesity, triggers postpartum brain inflammation and premature aging in Sprague-Dawley rats.

Previous studies showed that women with gestational diabetes mellitus (GDM) are susceptible to cognitive dysfunction. We investigated the effects of GDM on brain pathologies and premature brain aging in rats. Seven-week-old female Sprague-Dawley rats were fed a normal diet (ND) or a high-fat diet (HFD) after two weeks of acclimatization. On pregnancy day 0, HFD-treated rats received streptozotocin (GDM group) or vehicle (Obese mothers). ND-treated rats received vehicle (ND-control mothers). On postpartum day 21, brains and blood were collected. The GDM group showed increased inflammatory and premature aging markers, mitochondrial changes, and compensatory increases in the blood-brain barrier and synaptic proteins in the prefrontal cortex and hippocampus. GDM triggers maternal brain inflammation and premature aging, suggesting compensatory mechanisms may protect against these effects.

Metabolic profiles in gestational diabetes mellitus can reveal novel biomarkers for prediction of adverse neonatal outcomes.

Background: Gestational diabetes mellitus (GDM) significantly affects the fetal metabolic environment, elevating risks of neonatal hypoglycemia and macrosomia. Metabolomics offers promising avenues for early prediction and diagnosis of GDM and associated adverse offspring outcomes. Methods: This study analyzed serum samples from pregnant women diagnosed with GDM at 24 to 28 weeks of gestation using untargeted metabolomics. We monitored the health outcomes of their offspring to explore the correlation between initial serum metabolite profiles and subsequent health outcomes, to uncover the predictive markers for hypoglycemia and macrosomia in these offspring. Results: Out of 200 participants, 154 had normal newborns, 33 had offspring with hypoglycemia, and 19 had offspring with macrosomia. From 448 identified metabolites, 66 showed significant differences in cases of hypoglycemia, and 45 in macrosomia. A panel of serum metabolite biomarkers achieved Area Under the Curve (AUC) values of 0.8712 for predicting hypoglycemia and 0.9434 for macrosomia. Conclusion: The study delineated metabolic disruptions in GDM during 24-28 weeks of gestation and pinpointed biomarkers capable of forecasting adverse neonatal outcomes. These findings could inform GDM management strategies and minimize the incidence of such outcomes.

Adverse pregnancy outcomes with respect to treatment modalities in women with gestational diabetes mellitus at a rural tertiary care teaching hospital.

Objectives: To estimate the prevalence of gestational diabetes mellitus (GDM) and compare adverse pregnancy outcomes with respect to treatment modalities in a peri-urban teaching hospital in Telangana. Methods: A prospective study was conducted on GDM cases delivered from January 2019 to March 2020. GDM was diagnosed using a two-step procedure of screening using IADPSG criteria. Women diagnosed with GDM were divided into four groups - diet group, metformin group, metformin plus insulin group and insulin group based on the treatment modalities. Adverse pregnancy outcomes of the women managed with different treatment modalities were recorded. Results: Good glycaemic control (FBS, P = 0.04, 2 hrs PLBS, P = 0.01) was achieved in diet and metformin groups. Incidence of Gestational hypertension (P = 0.01) and preeclampsia (P = 0.01) were found to be higher in the insulin group when compared to the metformin and insulin group, metformin group and diet group. No difference was noted with respect to polyhydramnios, preterm birth, premature rupture of membranes, induction labour and caesarean delivery rates between the treatment groups. Apgar score at 5 min of <7 (P = 0.02), neonatal intensive care unit admissions for >24 hrs (P = 0.03) and neonatal hypoglycaemia (P = 0.01) were found to be higher in insulin-required groups. Rates of shoulder dystocia, stillbirth, early neonatal death within 1 week and respiratory distress did not vary significantly between the treatment groups. Conclusion: Universal screening of women for GDM and multidisciplinary management of women once diagnosed tend to lessen maternal and fetal complications. Metformin can be an effective, cheaper and non-invasive alternative to insulin in the management of GDM.

First trimester maternal serum PAPP-A and free ß-hCG levels and risk of SGA or LGA in women with and without GDM.

BACKGROUND: Maternal gestational diabetes (GDM), small (SGA) and large (LGA) for gestational age neonates are associated with increased morbidity in both mother and child. We studied how different levels of first trimester pregnancy associated plasma protein-A (PAPP-A) and free beta human chorionic gonadotropin (fß-hCG) were associated with SGA and LGA in GDM pregnancies and controls. METHODS: Altogether 23 482 women with singleton pregnancies participated in first trimester combined screening and delivered between 2014 and 2018 in Northern Finland and were included in this retrospective case-control study. Women with GDM (n = 4697) and controls without GDM (n = 18 492) were divided into groups below 5th and 10th or above 90th and 95th percentile (pc) PAPP-A and fß-hCG MoM levels. SGA was defined as a birthweight more than two standard deviations (SD) below and LGA more than two SDs above the sex-specific and gestational age-specific reference mean. Odds ratios were adjusted (aOR) for maternal age, BMI, ethnicity, IVF/ICSI, parity and smoking. RESULTS: In pregnancies with GDM the proportion of SGA was 2.6% and LGA 4.5%, compared to 3.3% (p = 0.011) and 1.8% (p < 0.001) in the control group, respectively. In ≤ 5th and ≤ 10th pc PAPP-A groups, aORs for SGA were 2.7 (95% CI 1.5-4.7) and 2.2 (95% CI 1.4-3.5) in the GDM group and 3.8 (95% CI 3.0-4.9) and 2.8 (95% CI 2.3-3.5) in the reference group, respectively. When considering LGA, there was no difference in aORs in any high PAPP-A groups. In the low ≤ 5 percentile fß-hCG MoM group, aORs for SGA was 2.3 (95% CI 1.8-3.1) in the control group. In fß-hCG groups with GDM there was no association with SGA and the only significant difference was ≥ 90 percentile group, aOR 1.6 (95% CI 1.1-2.5) for LGA. CONCLUSION: Association with low PAPP-A and SGA seems to be present despite GDM status. High PAPP-A levels are not associated with increased LGA risk in women with or without GDM. Low fß-hCG levels are associated with SGA only in non-GDM pregnancies.

G protein-coupled receptor 1 participating in the mechanism of mediating gestational diabetes mellitus by phosphorylating the AKT pathway.

Gestational diabetes mellitus (GDM) is a metabolic disease that occurs during pregnancy. Herein, we investigate G protein-coupled receptor 1 (GPR1) in mediating GDM through the phosphorylation of serine/threonine kinase (AKT) pathway. Thirty pregnant SD rats were grouped into: normal pregnancy control group (NC), GDM model group, and GDM model + high-dose GPR1 antagonist treatment (GDM + Ari) group. GDM model was established, and the GDM + Ari group adopted GPR1 antagonist aripiprazole. The blood glucose level, insulin level, and insulin resistance (IR) were detected. The expression and phosphorylation of GPR1, AKT, and extracellular signal-regulated kinase (ERK) in placental tissue were detected using reverse transcription-polymerase chain reaction (RT-PCR) and western blotting (WB). The serum insulin concentration, glucose concentration, and glycated hemoglobin concentration during pregnancy in GDM group SD rats were significantly higher than those in the NC group (P < 0.05). The expression and phosphorylation levels of GPR1, AKT, and ERK in the placental tissue of SD pregnant rats in the GDM group were significantly lower than those in the NC group. Furthermore, compared with the GDM group, the expression of GPR1, AKT, and ERK in placental tissue was significantly reduced in the GDM + Ari group, while simultaneously enhancing the blood glucose level and IR level. In addition, the survival number, body weight, and malformation rate of the offspring of the GDM + Ari group were significantly improved, and there was no significant effect on the number of offspring. The expressions of GPR1, AKT, and ERK in placental tissue exhibited a significant decrease, while the glucose level and IR were observed to increase in the GDM + Ari group. Enhancing the expression of GPR1 may activate AKT phosphorylation to alleviate GDM. GPR1 could potentially serve as a novel target for diabetes treatment, offering new insights into managing GDM.

Selection of appropriate location based on signed distance based ranking approach with interval type-2 trapezoidal fuzzy preference relations.

In real life situation, it is often difficult to judge the relative importance of different parameters being considered for evaluating some alternatives. In the context of fuzzy sets, it is a situation where it is difficult to define precise membership grades for attribute values. Here we require more generalized type of fuzzy sets which have a greater representational power than ordinary fuzzy sets. For this purpose we use "interval type-2 trapezoidal fuzzy preference relations (IT2TrFPRs)" in this article as a generalization of fuzzy preference relations and consider the environment discussed above, where there is no information on priority weights. A collective decision matrix will be constructed on the basis of hybrid averages using weighted averaging and signed distance based OWA operation. Then a least deviation model will be employed in order to determine the priority weight vectors. Finally, the alternatives will be ranked on the basis of weighted normalized signed distance of each alternative from the ideal solution. Moreover, a real life example of location selection is illustrated to elaborate the effectiveness of the proposed scheme.

Progression of gestational diabetes mellitus to pregnancy-associated fulminant type 1 diabetes: a case report.

Background: Pregnancy-associated fulminant type 1 diabetes (PF) occurs during pregnancy or within 2 weeks of delivery. Although it occurs infrequently, it is associated with high fetal mortality rate. Few studies have examined whether PF is associated with gestational diabetes mellitus (GDM). Case Description: A 29-year-old woman diagnosed with GDM at 24 weeks of gestation developed a fever, sore throat, nausea and vomiting at 29 weeks of gestation. Ketoacidosis was considered based on her blood ketone and glucose levels and the results of a blood gas analysis. Since the patient's islet function declined rapidly, fluid replacement, insulin therapy, and other treatments were administered. The patient was ultimately diagnosed with PF, and has required ongoing insulin therapy. She delivered a healthy baby girl by elective cesarean section at 37-week gestation. Her blood glucose has been satisfactorily controlled over the 12 months since her acute presentation. Conclusions: PF is characterized by poor maternal and infant outcomes and a high stillbirth rate. Blood glucose should be regularly monitored in pregnant women with GDM. A sudden increase in blood glucose may indicate the possibility of PF, which needs to be managed in a timely manner to avoid adverse pregnancy outcomes.

Healthcare costs attributable to diabetes in pregnancy: A cost of illness study in Tasmania, Australia.

AIMS: To estimate the direct costs during the prenatal, delivery and postpartum periods in mothers with diabetes in pregnancy, compared to those without. METHODS: This study used a population-based dataset from 2004 to 2017, including 57,090 people with diabetes and 114,179 people without diabetes in Tasmania, Australia. Based on diagnostic codes, delivery episodes with gestational diabetes mellitus (GDM) were identified and matched with delivery episodes without diabetes in pregnancy. A group of delivery episodes with pre-existing diabetes was identified for comparison. Hospitalisation, emergency department and pathology costs of these groups were calculated and adjusted to 2020-2021 Australian dollars. RESULTS: There were 2774 delivery episodes with GDM, 2774 delivery episodes without diabetes and 237 delivery episodes with pre-existing diabetes identified. Across the 24-month period, the pre-existing diabetes group required the highest costs, totalling $23,536/person. This was followed by the GDM ($13,210/person), and the no diabetes group ($11,167/person). The incremental costs of GDM over the no diabetes group were $890 (95% CI 635; 1160) in the year preceding delivery; $812 (616; 1031) within the delivery period and $341 (110; 582) in the year following delivery (p < 0.05). Within the year preceding delivery, the incremental costs in the prenatal period were $803 (579; 1058) (p < 0.05). Within the year following delivery, the incremental costs in the postpartum period were $137 (55; 238) (p < 0.05). CONCLUSIONS: Our results emphasised the importance of proper management of diabetes in pregnancy in the prenatal and postpartum periods and highlighted the significance of screening and preventative strategies for diabetes in pregnancy.

Intuitive eating was associated with anxiety, depression, pregnancy weight and blood glucose in women with gestational diabetes mellitus: a prospective longitudinal study.

Background: Outside of pregnancy, intuitive eating (IE) is associated with lower body weight, blood glucose, and higher positive mood. However, little was known about the relationship between IE and anxiety-depression in the GDM population. Thus, this study aimed to investigate the association of IE with anxiety and depression, pregnancy weight and pregnancy blood glucose in the first and second GDM visit. Methods: Data from 310 pregnant women with GDM from the Fujian Maternal and Child Health Hospital Trial (Approval Number: 2020Y9133) were analyzed. IE was assessed using the Intuitive Eating Scale-2 subscales of Eating for Physiological Reasons rather than Emotional Reasons (EPR), Relying on Hunger and Satiety Cues (RHSC) and Body-Food Choice Consistency (B-FCC). Observations included weight, body mass index (BMI), fasting plasma glucose (FPG) and 2-h postprandial blood glucose; the Hospital Anxiety and Depression Scale (HADS) was used to assess the level of anxiety and depression in pregnant women with GDM. Linear regression analysis was used to assess the correlation between IE and anxiety, depression, pregnancy blood glucose and weight. Results: The cross-sectional analysis showed that the EPR eating behavior was negatively correlated with anxiety and depression, and the B-FCC eating behavior was negatively correlated with depression at both the first and second GDM visit; in addition, the B-FCC eating behavior was associated with lower BMI in the third trimester (all p < 0.05). In longitudinal analyses, the EPR eating behavior in the first visit for GDM predicted lower levels of anxiety and depression in the second GDM visit, whereas the RHSC eating behavior in the first visit for GDM was associated with lower FPG in the second GDM visit (all p < 0.01). Conclusion: These results suggest that practicing intuitive eating may be beneficial and that higher intuitive eating adherence can lead to lower levels of anxiety and depression and more ideal gestational weight and blood glucose values.

Risk factors and diagnostic performance of predictors as a screening technique for gestational diabetes mellitus: a retrospective cross-sectional study.

Background: Gestational diabetes mellitus (GDM) is a condition that can have negative impacts on both mother and baby. Detecting GDM early is crucial, and fasting plasma glucose (FPG) has been suggested as a possible screening method. This retrospective cross-sectional study aims to investigate potential risk factors and complications associated with GDM. Additionally, it aims to establish the diagnostic performance of predictive factors as a screening method for GDM. Methods: Data were collected from the medical records of 247 pregnant women who visited outpatient Obstetrics clinics between 2021 and 2022. The study investigated potential risk factors and complications associated with GDM, including impaired fasting glucose/impaired glucose tolerance (IFG/IGT), family history of diabetes mellitus (DM), and medical conditions. Moreover, the study evaluated the diagnostic performance of potential predictors as screening techniques for GDM. Results: The study found that IFG/IGT (P<0.001), a history of GDM (P<0.001), and a family history of DM (P=0.022) were significant factors associated with GDM. Healthy individuals had a lower risk of developing GDM (P<0.001). No significant correlation was found between GDM and macrosomia, hypertension, polycystic ovarian syndrome, or other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not significant. Conclusion: In conclusion, this study found that IFG/IGT and a past history of GDM were significantly associated with GDM. Additionally, a family history of diabetes increased the likelihood of developing GDM, while no significant association was found between GDM and other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not statistically significant.

Fasting or 2-hour postprandial plasma glycemic criteria for gestational diabetes mellitus are aassociated with distinct adverse outcomes.

OBJECTIVE: We aimed to evaluate the heterogeneity of gestational diabetes mellitus (GDM) patients diagnosed with various screening criteria. METHODS: We stratified pregnant women using consecutive fasting plasma glucose (FPG) and 2-hour postprandial plasma glucose (2hPPG) intervals of 0.2 mmol/L. The incidence of abnormal neonatal birthweight and birth-related adverse outcomes was compared with that of pregnant women without GDM. RESULTS: The study included 39,988 pregnant women (18-45 years, mean [SD], 31.5 [4.7] years) in Ningbo, China. The means (SDs) of FPG and 2hPPG within 24-28 weeks of gestation were 4.5 (0.5) and 6.8 (1.3) mmol/L, respectively. A total of 3025 (7.6%) women had 5.1-6.9 mmol/L FPG and 4560 (11.4%) had 8.5-11.0 mmol/L 2hPPG. The incidence of GDM according to the two combination criteria was 17.3% (6908 cases). The relative risk (RR) for < 10th percentile birthweight (< 10th WT) was 0.82 (95% CI, 0.74-0.91, p < 0.001) by 5.1 mmol/L FPG criterion and 1.14 (95% CI, 1.06-1.23, p < 0.001) by 8.5 mmol/L 2hPPG criterion, while the RRs for > 90th percentile birthweight (> 90th WT) were 1.48 (95% CI, 1.35-1.63, p < 0.001) and 0.95 (95% CI, 0.86-1.04, p = 0.29) according to the corresponding criteria. The FPG criterion was more strongly associated with maternal hypertension than the 2hPPG criterion. Both criteria did not show a distinct association with other composite adverse outcomes. CONCLUSION: High FPG is significantly associated with high birth weight, whereas high 2hPPG is slightly associated with low birth weight. Our findings highlight the heterogeneity of patients with GDM diagnosed by different criteria.

Gravity-driven membrane integrated with membrane distillation for efficient shale gas produced water treatment.

Substantial volumes of hazardous shale gas produced water (SGPW) generated in unconventional natural gas exploration. Membrane distillation (MD) is a promising approach for SGPW desalination, while membrane fouling, wetting, and permeate deterioration restrict MD application. The integration of gravity-driven membrane (GDM) with MD process was proposed to improve MD performance, and different pretreatment methods (i.e., oxidation, coagulation, and granular filtration) were systematically investigated. Results showed that pretreatment released GDM fouling and improved permeate quality by enrich certain microbes' community (e.g., Proteobacteria and Nitrosomonadaceae), greatly ensured the efficient desalination of MD. Pretreatment greatly influences GDM fouling layer morphology, leading to different flux performance. Thick/rough/hydrophilic fouling layer formed after coagulation, and thin/loose fouling layer formed after silica sand filtration improved GDM flux by 2.92 and 1.9 times, respectively. Moreover, the beneficial utilization of adsorption-biodegradation effects significantly enhanced GDM permeate quality. 100 % of ammonia and 53.99 % of UV254 were efficiently removed after zeolite filtration-GDM and granular activated carbon filtration-GDM, respectively. Compared to the surged conductivity (41.29 µS/cm) and severe flux decline (>82 %) under water recovery rate of 75 % observed in single MD for SGPW treatment, GDM economically controlled permeate conductivity (1.39-19.9 µS/cm) and MD fouling (flux decline=8.3 %-27.5 %). Exploring the mechanisms, the GDM-MD process has similarity with Janus MD membrane in SGPW treatment, significantly reduced MD fouling and wetting.

Non-Linear Response of Alpha and Beta Diversity of Taxonomic and Functional Groups of Phytoplankton to Environmental Factors in Subtropical Reservoirs.

Exploring the response of the diversity of phytoplankton species and functional groups to environmental variables is extremely important in maintaining biodiversity in aquatic ecosystems. Although there were more taxonomic units at the species level than at the functional group level, it remained unclear whether species diversity was more sensitive than functional group diversity to environmental variables. In this study, taxonomic composition and alpha-beta diversity of phytoplankton were investigated in 23 subtropical reservoirs located in the Han River Basin in South China during wet and dry seasons. Structural Equation Modelling (SEM) and Generalized Dissimilarity Modelling (GDM) were employed to validate the response of phytoplankton species and functional group alpha-beta diversities to environmental variables. The results indicated that the community compositions of phytoplankton in eutrophic reservoirs were similar between wet and dry seasons, while there were distinct differences for community composition in oligotrophic-mesotrophic reservoirs between the two seasons. Across all reservoirs, there were no significant differences in alpha and beta diversities of species and functional groups between wet and dry seasons. The SEM and GDM results revealed that total phosphorus was the primary driving factor influencing alpha and beta diversities of species and functional groups in the 23 reservoirs. Meanwhile, the non-linear results of species beta diversity were stronger than the non-linear results of functional group beta diversity, indicating that phytoplankton species exhibited a higher explanatory power in responding to environmental changes compared to that of functional groups. Compared to that of species beta diversity, the response of functional group beta diversity to environmental variables was significantly lower in the dry season. These research findings lead to re-evaluating the common practice relating to the use of phytoplankton functional groups to assess environmental conditions, which may overlook the explanatory power of subtle changes at the species level, especially during periods of habitat diversification in the dry season.

Lysophosphatidylcholine Impairs the Mitochondria Homeostasis Leading to Trophoblast Dysfunction in Gestational Diabetes Mellitus.

Gestational diabetes mellitus (GDM) is a common pregnancy disorder associated with an increased risk of pre-eclampsia and macrosomia. Recent research has shown that the buildup of excess lipids within the placental trophoblast impairs mitochondrial function. However, the exact lipids that impact the placental trophoblast and the underlying mechanism remain unclear. GDM cases and healthy controls were recruited at Kaohsiung Medical University Hospital. The placenta and cord blood were taken during birth. Confocal and electron microscopy were utilized to examine the morphology of the placenta and mitochondria. We determined the lipid composition using liquid chromatography-mass spectrometry in data-independent analysis mode (LC/MSE). In vitro studies were carried out on choriocarcinoma cells (JEG3) to investigate the mechanism of trophoblast mitochondrial dysfunction. Results showed that the GDM placenta was distinguished by increased syncytial knots, chorangiosis, lectin-like oxidized low-density lipoprotein (LDL) receptor-1 (LOX-1) overexpression, and mitochondrial dysfunction. Lysophosphatidylcholine (LPC) 16:0 was significantly elevated in the cord blood LDL of GDM patients. In vitro, we demonstrated that LPC dose-dependently disrupts mitochondrial function by increasing reactive oxygen species (ROS) levels and HIF-1α signaling. In conclusion, highly elevated LPC in cord blood plays a pivotal role in GDM, contributing to trophoblast impairment and pregnancy complications.

The predictive ability of the triglyceride glucose index, fasting glucose and oral glucose tolerance test for postpartum hyperglycemia in women with a GDM history.

OBJECTIVE: This study aimed to determine the likelihood of hyperglycemia postpartum in women with gestational diabetes mellitus (GDM) and to identify the predictors. METHODS: The retrospective cohort study involved 1 527 GDM patients who delivered at Peking University First Hospital from 1 January 2021, to 31 December 2021. According to the blood glucose level of postpartum oral glucose tolerance test (OGTT), women were divided into a normal glucose tolerance (NGT) group and a hyperglycemia group, and their characteristics and risk factors of hyperglycemia were compared. RESULTS: The prevalence of hyperglycemia was 33.9% (184/543) at 6-12 weeks postpartum. Compared with the NGT group, the fasting plasma glucose (FPG) of hyperglycemia group increased significantly during pregnancy and postpartum, the OGTT 1h postprandial glucose (PG) and 2hPG increased in the second trimester of pregnancy, the triglyceride (TG) increased in the first trimester of pregnancy and postpartum, the triglyceride glucose (TyG) index increased in the first trimester of pregnancy and postpartum, and the total cholesterol (TCHO) and low density lipoprotein cholesterol (LDL-C) decreased in the second trimester (p < 0.05). Fasting plasma glucose (FPG) in the first trimester [odds ratio (OR) = 3.583, p < 0.001], OGTT 2hPG in the second trimester (OR = 1.604, p < 0.001), the TyG index in the first trimester (OR = 1.863, p = 0.045) and FPG in third trimester (OR = 1.985, p = 0.024) were independent risk factors for postpartum hyperglycemia. CONCLUSIONS: Approximately one-third of women with GDM have hyperglycemia 6-12 weeks after delivery. FPG and the TyG index in the first trimester, OGTT 2hPG in the second trimester and FPG in third trimester are risk factors for postpartum hyperglycemia.

Uric acid and risk of gestational diabetes mellitus: an observational study and mendelian randomization analysis.

OBJECTIVE: Our aim was to explore the relationship between serum uric acid (UA) levels in early pregnancy and the development of gestational diabetes mellitus (GDM), and to further explore whether there is a causal relationship. METHODS: 684 pregnant women with GDM and 1162 pregnant women without GDM participated in this study. 311 pregnant women with GDM and 311 matched controls were enrolled in a 1:1 case-control study. We used conditional logistic regression to explore the relationship between UA levels and the risk of developing GDM. The causal relationship between the two was examined by two-sample Mendelian randomization (MR) analysis. RESULTS: In the 1:1 matched population, the odds ratio (OR) of developing GDM compared with the extreme tertiles of UA levels was 1.967 (95% confidence interval [CI]: 1.475-2.625; P < 0.001). Restricted cubic spline analyses showed a linear relationship between UA and GDM when UA exceeded 222 µmol/L. GDM and UA levels maintained a statistically significant positive correlation in different stratified regression analyses (P < 0.001). However, no evidence of a causal relationship between uric acid and GDM was found by MR analyses with an OR of 1.06 (95% CI: 0.91-1.25) per unit increase in UA. CONCLUSION: There is a positive correlation between UA levels in early pregnancy and the subsequent risk of developing GDM. However, no genetic evidence was found to support a cause-effect relationship between UA and GDM.

Serum progesterone, glycosylated hemoglobin and insulin levels with the risk of premature rupture of membranes in gestational diabetes mellitus.

OBJECTIVE: To discuss the correlation between serum progesterone, glycosylated Hemoglobin (HbA1c), and insulin levels in pregnant women with Gestational Diabetes Mellitus (GDM) and the risk of Premature Rupture of Membranes (PROM). METHODS: A retrospective analysis was conducted on 52 patients diagnosed with GDM who also presented with PROM (Observation group) and compared with 89 patients diagnosed with GDM but not complicated with PROM (Control group). Progesterone, insulin, and HbA1c were detected. Risk factors for PROM in GDM patients were analyzed. RESULTS: The observation group had higher HbA1c and fasting blood glucose levels. Poor blood glucose control and GWG are risk factors for PROM in GDM patients. PROM increases adverse pregnancy outcomes in GDM. HbA1c, insulin, and HOMA-IR can predict the risk of PROM in GDM. CONCLUSIONS: The effective prediction of preterm PROM can be achieved through the monitoring of serum HbA1c, insulin levels, and insulin resistance in patients with GDM.

Distinct Plasma Metabolomic and Gut Microbiome Profiles after Gestational Diabetes Mellitus Diet Treatment: Implications for Personalized Dietary Interventions.

Gestational diabetes mellitus (GDM) triggers alterations in the maternal microbiome. Alongside metabolic shifts, microbial products may impact clinical factors and influence pregnancy outcomes. We investigated maternal microbiome-metabolomic changes, including over 600 metabolites from a subset of the "Choosing Healthy Options in Carbohydrate Energy" (CHOICE) study. Women diagnosed with GDM were randomized to a diet higher in complex carbohydrates (CHOICE, n = 18, 60% complex carbohydrate/25% fat/15% protein) or a conventional GDM diet (CONV, n = 16, 40% carbohydrate/45% fat/15% protein). All meals were provided. Diets were eucaloric, and fiber content was similar. CHOICE was associated with increases in trimethylamine N-oxide, indoxyl sulfate, and several triglycerides, while CONV was associated with hippuric acid, betaine, and indole propionic acid, suggestive of a healthier metabolome. Conversely, the microbiome of CHOICE participants was enriched with carbohydrate metabolizing genes and beneficial taxa such as Bifidobacterium adolescentis, while CONV was associated with inflammatory pathways including antimicrobial resistance and lipopolysaccharide biosynthesis. We also identified latent metabolic groups not associated with diet: a metabolome associated with less of a decrease in fasting glucose, and another associated with relatively higher fasting triglycerides. Our results suggest that GDM diets produce specific microbial and metabolic responses during pregnancy, while host factors also play a role in triglycerides and glucose metabolism.

Pregnancy and Diabetes in Turin: Lights and Shadows from Real Life Data.

BACKGROUND: From 2021, PSDTA for women with pregnancy complicated by diabetes will be active in the ASL city of Turin; given the city's increasing multiculturalism, we decided to evaluate from this point of view the patients who entered this pathway. METHODS: Data on women from 1/10/2022 to 30/09/2023 were collected from the computerized medical record. RESULTS: Total patients: 304, Type of diabetes: T1D 3%; MODY < 1%; T2D 4% Diabetes manifested in pregnancy (DMIP) 2%, GDM 90%, Foreigners prevalence: GDM: 67%, T2D%, T1D: Foreign 11%, Planned vs. neglected pregnancies: GDM 47% vs 18%, T2D 31% vs 32%, DMIP 28% vs 50%, T1D: 66% vs 11%, Therapy: GDM: insulin 31% (multi-injective <30%), metformin 5%, T2D: insulin 100% (multi-injective 68%, metformin in 20%); continuous glycemic sensor in 48%, DMIP: insulin 50% (multi-injective 50%), T1D: multi-injective therapy 33%; pump and glycemic sensor 33%; integrated sensor-micro-infuser system 33%. CONCLUSION: In the aspect of ISTAT data indicating that for northern Italy, a foreign origin for 26% of mothers, our population is "unbalanced" between GDM, T2D, and DMIP on one side and T1D on the other. The higher percentage of foreigners in the GDM group could be attributable to the higher share of Italian women opting for private practice, conversely, the "missing" share of foreign women with T1D is more difficult to interpret. Unplanned or even neglected pregnancies are significant in women with GDM and DMIP (who are mostly foreign). If these data are confirmed in other Italian realities, corrective strategies need to be planned.