Gestational diabetes mellitus and macrosomia: a literature review

Prenatal per- and polyfluoroalkyl substance mixtures and weight for length from birth to 12 months: The New Hampshire Birth Cohort Study

OBJECTIVE

To examine the joint associations of plasma concentrations of prenatal per- and polyfluoroalkyl substances (PFAS) mixtures with birth size and postnatal anthropometry measures.

MATERIAL AND METHODS

The current study included 641 mother-child dyads from the New Hampshire Birth Cohort Study. PFAS concentrations were quantified in maternal plasma samples collected during pregnancy (median: 28 weeks of gestation). Information on infant weight and length were abstracted from medical records and converted to sex- and age-standardized weight-for-length z-score according to the World Health Organization standard curves. Bayesian kernel machine regression (BKMR) was used to investigate the joint associations of multiple PFAS concentrations during pregnancy with weight-for-length z score at birth, 6-months, and 12-months. To account for longitudinal outcomes, we also fit linear mixed effect models between PFAS exposure burden score, a novel method to quantify total exposure burden to PFAS mixtures, and changes in weight-for-length from birth to 12 months of age. A multiplicative interaction term ("PFAS burden score × time [birth as a reference, 6 months, and 12 months of age]") was included to evaluate a potential time-varying relationship. All models were adjusted for maternal age, education, marital status, parity, smoking, seafood consumption, pre-pregnancy body mass index, and gestational week of blood draw.

RESULTS

In BKMR models, all 95 % credible intervals included the null value. In linear mixed effects models, PFAS exposure burden score was associated with a lower weight-for-length z-score (β = -0.20; 95 % confidence interval = -0.35, -0.04). The multiplicative interaction term was significant at both 6 and 12 months of age (P < 0.01 for both time points), particularly among female infants, suggesting a shift toward positive associations between the prenatal PFAS mixtures and weight-for-length z-score during infancy.

CONCLUSIONS

Prenatal PFAS mixtures may affect fetal and infant anthropometry measures differently by life stage and biological sex.

The gut dysbiosis of mothers with gestational diabetes and its correlation with diet

The gut dysbiosis has been observed in gestational diabetes mellitus (GDM). However, changes in bacterial population are different among various countries due to genetic, environmental, and dietary differences. We compared the gut dominant phylum and some genus in GDM versus normo-glycemic pregnant in Iranian population, considering dietary intake. In this case-control study, 50 women diagnosed with GDM and 50 healthy pregnant, aged 18-35 yrs, during spring and summer, were participated. GDM was diagnosed based on the International Association of Diabetes and Pregnancy Groups criteria. The bacterial populations were determined based on 16SrRNA gene expression. Actinomycetota (p = 0.02), and Bifidobacterium spp. (p = 0.001) was significantly higher in the gut of healthy mothers than the GDM. However, bacteroides was significantly higher in the gut of GDM mothers than the healthies (p = 0.02). Daily calorie intake showed a negative correlation with population of Bacteroidota (p = 0.04) and Actinomycetota (p = 0.009), but dietary carbohydrate and fat showed a positive correlation. Increase in dietary intake of mono- and poly-unsaturated fatty acids (MUFAs and PUFAs) was associated with higher Bacteroidota in the gut (p = 0.02 and p = 0.04). However, dietary cholesterol showed a negative correlation with population of Bacteroidota and Bifidobacterium spp. (p = 0.003 and p = 0.02). GDM was correlated with the gut dysbiosis. Daily calorie and cholesterol intake was positively associated with dysbiosis. However total intake of carbohydrates, MUFAs and PUFAs showed a protective effect.

Prenatal Exome Sequencing for Fetal Macrocephaly: A Large Prospective Observational Cohort Study

OBJECTIVE

To assess the diagnostic utility of exome sequencing (ES) in macrocephalic fetuses.

METHODS

Fetuses with macrocephaly (head circumference (HC) ≥ +2 SD) and negative chromosomal microarray results were included, who had available trio-ES data. Molecular diagnoses were systematically analyzed. Subgroup analyses were performed on the ES diagnostic yield based on gestational age, HC Z-scores, associated anomalies, and growth parameters.

RESULTS

Molecular diagnoses were established in 34 out of 87 macrocephalic fetuses (39.1%) through trio-ES. These diagnoses revealed that the variants predominantly affect key signaling pathways, including mTOR, RASopathies and Sotos syndrome. The detection rate was significantly higher in non-isolated compared to isolated macrocephaly cases (65.0%, 26/40 vs. 17.0%, 8/47; p < 0.001). The most frequent anomalies associated with genetic diagnoses included micromelia (100.0%, 14/14), megalencephaly (100.0%, 2/2), and ventriculomegaly (60.0%, 6/10). Subgroup analysis identified higher diagnostic yields in fetuses diagnosed before 32 gestational weeks, with HC Z-scores ≥ +3 SD, micromelia, and absence of large-for-gestational-age (LGA).

CONCLUSIONS

Exome sequencing significantly enhances the detection of monogenic disorders in macrocephalic fetuses compared with CMA, irrespective of isolated or non-isolated cases. These clinical features and phenotypes are essential for assessing monogenic disorders and for prenatal counseling and evaluations of macrocephalic fetuses.

Maternal Plasma Proteins Associated with Birth Weight: A Longitudinal, Large Scale Proteomic Study

Small infants for gestational age (SGA) and large infants for gestational age (LGA) have increased risk of complications during delivery and later in life. Prediction of the fetal weight is currently limited to biometric parameters obtained by ultrasound scans that can be imprecise. Biomarkers of fetal growth would be crucial for tailoring clinical management and optimizing outcomes for the mother and child. Seventy pregnant women participated in the current study, including 58, 7, and 5 giving birth to adequate for gestational age (AGA), SGA, and LGA infants, respectively. Maternal venous blood was drawn at gestational weeks 12-19, 21-27, and 28-34 and quantified for nearly 5000 proteins on the SomaLogic platform. We used machine learning algorithms with leave-one-out cross-validation to construct multiprotein models for prediction of birth weight groups. Random forest models using only 20 predefined proteins (selected by moderated t tests) were able to predict LGA with good discrimination (AUC > 0.8) at all three visits, while prediction of SGA was less successful. Protein differential abundance analysis revealed 148 proteins with higher abundance in LGA compared to AGA pregnancies, while only four proteins were differentially abundant between the SGA and AGA. The principal findings indicate that the maternal plasma proteome may hold potential biomarkers of LGA.

Trends in the use of induction of labor by methods and indications: A population-based study

INTRODUCTION

Induction of labor is a widely used obstetric intervention, with rates increasing globally. In Australia in 2022, over one-third of women gave birth following the induction of labor. Though the rate of induction has increased, changes in methods and indications for induction have not been analyzed for the state of Victoria. This study aims to analyze these trends in Victoria, Australia.

MATERIAL AND METHODS

A retrospective cohort study was conducted using de-identified data from the Victorian Perinatal Data Collection (VPDC) that includes all births statewide of at least 28 completed weeks' gestation from 2012 to 2020. The study analyzed trends in the onset of labor, methods used, and indications for induction over the study period, using descriptive statistics and average annual percentage change.

RESULTS

A total of 701 324 births occurred during the study period, of which 223 672 (31.9%) were inductions. Induction of labor rates increased significantly from 25.4% in 2012 to 37.7% in 2020, with a notable rise at 38 and 39 weeks' gestation. Significant changes were observed in induction methods-the use of combination methods, particularly balloon catheter followed by pharmacological agents, increased, while the use of a standalone method declined. The findings suggest that gestational diabetes and fetal indications were major drivers of induction in recent years.

CONCLUSIONS

Labor induction practices in Victoria have changed significantly, reflecting shifts in clinical practices and changes in health profiles of pregnant women. Further research is needed to investigate the rising use of induction at early term gestation and the role of maternal preferences in driving induction in Victoria.

Association of gestational diabetes mellitus diagnosed at different time points in oral glucose tolerance test with adverse pregnancy outcomes: a retrospective cohort study

Background

This study aims to explore the association between gestational diabetes mellitus (GDM) diagnosed at different time points in the oral glucose tolerance test (OGTT) and adverse pregnancy outcomes (APO).

Methods

A retrospective cohort study based on the 75g OGTT conducted in Fujian Maternity and Child Health Hospital. GDM was diagnosed if plasma glucose levels exceeded the threshold at any time point (5.1 mmol/L at 0h, 10.0 mmol/L at 1h, and 8.5 mmol/L at 2h). Binary logistic regression and subgroup analysis were used to analyze the association between abnormal plasma glucose in OGTT and APO.

Results

The study included 37,598 normal pregnancies and 11,302 APO. Compared to the normal group, pregnant women with GDM and abnormal plasma glucose at different time points had an increased risk of APO. Group 2 (abnormal at 0h, but normal at 1h and 2h), Group 3 (normal at 0h, but abnormal at 1h or 2h), and Group 4 (abnormal at 0h, 1h or 2h) showed an increasing trend in APO risk compared to Group 1 (normal at three time points), with adjusted OR of 1.14, 1.18, and 1.42, respectively (P<0.001). The subgroup analysis showed no statistically interaction, and the sensitivity analysis results were stable.

Conclusion

Abnormal plasma glucose at different time points is associated with the risk of APO, with the highest risk observed in those with abnormalities at all time points. Future health management for high-risk pregnant women should be strengthened by considering abnormal plasma glucose at different time points.

Pregnancy and Birth Outcomes Among Middle Eastern or North African Infants and Mothers in Quebec, Canada, 2008-2020

OBJECTIVES

The health status of Middle Eastern or North African (MENA) populations in Western countries is poorly understood. We assessed whether MENA infants and mothers have a greater risk of adverse pregnancy and birth outcomes than non-MENA infants and mothers in Quebec, Canada.

METHODS

We conducted a population-based observational study of 809 172 infants born to pregnant women in Quebec from 2008 through 2020. We identified infants in the MENA group based on self-reported mother tongue (Arabic or Turkish) and parents' country of birth (North African or Middle Eastern country). We compared infant and maternal outcomes, including gestational diabetes, cesarean delivery, preterm birth, severe maternal or neonatal morbidity, and other pregnancy and birth complications between the MENA and non-MENA groups. Using log-binomial regression models, we calculated risk ratios (RRs) and 95% CIs to measure the risk of adverse pregnancy and birth outcomes for the MENA group compared with the non-MENA group, adjusting for maternal age, comorbidity, and other patient characteristics.

RESULTS

Compared with the non-MENA group (n = 716 387), the MENA group (n = 92 785) had an elevated risk of gestational diabetes (RR = 1.51; 95% CI, 1.48-1.55), postterm birth (RR = 1.24; 95% CI, 1.08-1.42), and short-stay neonatal intensive care unit admission (RR = 1.91; 95% CI, 1.82-1.99). However, MENA infants were 15% to 50% less likely than non-MENA infants to be born preterm, have severe neonatal morbidity, and have a mother with preeclampsia or severe maternal morbidity.

CONCLUSIONS

Although findings among MENA infants and mothers in Quebec were reassuring overall, MENA infants and mothers may benefit from closer perinatal follow-up to improve complications of gestational diabetes.

Predictors of small-for-gestational-age infants in gestational diabetes mellitus: the impact of metformin use

INTRODUCTION

Gestational diabetes mellitus (GDM) affects 3%-25% of pregnancies worldwide, posing risks to maternal, fetal, and neonatal health. GDM is often associated with macrosomia and large-for-gestational-age (LGA) infants. However, the association between GDM and small-for-gestational-age (SGA) infants is less understood. This study aimed to identify predictors of SGA in women with GDM.

METHODS

This retrospective study included GDM patients (GDMA1 and A2) admitted to the fetal-maternal unit between 2014 and 2023. The study population was divided into those who delivered an appropriate for gestational age (AGA) neonate and those who delivered an SGA neonate (defined as birthweight < 10th percentile. Women with pregestational diabetes mellitus were excluded. Obstetric and neonatal outcomes were compared between the groups. A subgroup analysis focused on GDMA2 patients, comparing maternal and neonatal outcomes and treatment regimens (insulin and metformin use).

RESULTS

The study included 894 GDM patients. Compared to the AGA group (n = 712), the SGA group (n = 182) had lower maternal BMI (p = 0.02). Maternal age was comparable between groups. Rates of GDMA2 (30.2% vs. 23.4%, p = 0.07), and hypertensive disorders (7.1% vs. 5%, p = 0.21) did not differ significantly between the groups. The neonatal birthweight of the SGA infants was 2375 ± 432 g vs. 3021 ± 165 g in the AGA infants, (p = 0.005). The SGA group had a higher rate of CD due to NRFHR (27.4% vs. 18.4%, p < 0.01). Among GDMA2 patients (n = 222), more women in the SGA group (n = 55) were treated with metformin as compared to the AGA group (n = 167) (72.7% vs. 23.9%, p < 0.001). Multivariate regression analysis revealed that among GDMA2 patients metformin treatment was independently associated with SGA neonates OR 1.7, CI 1.18-1.35, p < 0.01).

CONCLUSION

Metformin use in GDMA2 pregnancies may be linked to SGA neonates. The impact of metformin on fetal growth highlights the need for careful monitoring and individualized treatment strategies in managing GDMA2.

Improving Understanding of Macrosomia with a Graphics-Based Educational Tool: A Randomized Controlled Trial (MATE)

We aimed to determine if a graphics-based education tool (GBET) leads to improved macrosomia knowledge on risk factors/complications (RF/C) and management options (MO) for macrosomia among pregnant individuals compared to routine care.We conducted a randomized control trial (NCTO6281301). Inclusion criteria were individuals at 18 to 55 years, with singleton pregnancy delivering at ≥ 36 weeks. After consent, participants were randomized to either routine care or GBET. To assess knowledge of macrosomia, a questionnaire consisting of 17 questions relating to the RF/C (11 questions) and MO (six questions) of suspected macrosomic fetuses was administered to participants one time either directly after consent (if routine care) or directly following review of GBET. The primary outcome was the overall score on the questionnaire. Secondary outcomes were summary scores on the RF/C and MO. Descriptive statistics were used for baseline characteristics and outcomes. Chi-squared test or Fisher's exact test was used to compare categorical variables and the student's t-test for continuous variables.From January to July 2023, 232 eligible individuals were approached and 196 (84%) agreed to participate; of them, 98 received the GBET, while 98 received routine care. Baseline demographics were similar. The majority (42%) of respondents were non-Hispanic Black, 60% were employed, 56% had some level of college education, and 30% lived below the poverty line. There were 41% nulliparous, 67% with a BMI ≥ 30 kg/m2, and 16% with diabetes. The primary outcome was significantly higher in those who received the GBET (70 vs. 64%; p < 0.001). The RF/C scores were also higher in the GBET group (72 vs. 63%; p = 0.001); however, the MO scores were similar between groups (65 vs. 68%; p = 0.084).In our population, a GBET improved participant knowledge on the RF/C for macrosomia, but not their MO. · In our population, overall macrosomia knowledge was poor.. · An education tool on macrosomia improved knowledge.. · Studies ought to determine if increased knowledge improves outcomes..

Gestational diabetes mellitus and vascular malperfusion lesions in the placenta: A systematic review and meta-analysis

BACKGROUND

Gestational diabetes mellitus (GDM) can result in increased placental lesions related to high maternal blood glucose, but these relationships are not well understood.

OBJECTIVE

To examine the relationship between GDM and placental vascular malperfusion lesions: accelerated villous maturation, increased syncytial knots, delayed villous maturation, and increased fibrin deposition.

SEARCH STRATEGY

PubMed, BIOSIS, and Web of Science databases were systematically searched for full-text articles in English from inception until August 21, 2024.

SELECTION CRITERIA

Our inclusion criteria were randomized controlled trials, case-control, cohort, and cross-sectional studies that examined the relationship between GDM and selected placental vascular malperfusion lesions. The outcome must have been reported as a total proportion.

DATA COLLECTION AND ANALYSIS

We included all eligible studies in narrative synthesis. If an outcome of interest was in at least three studies, we calculated the odds ratios (ORs) by GDM diagnosis, with 95% confidence intervals (CIs), using mixed-effects logistic regression with random study effects. We evaluated the risk of bias with the Newcastle-Ottawa Scale.

MAIN RESULTS

We screened 151 studies, of which eight were included (n = 1291), and six met the criteria for meta-analysis (n = 561). Unadjusted odds (95% CI) of delayed villous maturation were six-fold higher (OR: 6.37 [3.28-12.37]) in pregnancies with GDM than in those without GDM. The narrative synthesis of the literature found higher proportions of increased syncytial knots, delayed villous maturation, and increased fibrin deposition, but not accelerated villous maturation, in pregnancies with versus without GDM.

CONCLUSIONS

GDM was associated with a higher risk of three placental malperfusion lesions, although there is a small number of studies in this area. Future investigations should examine if these vascular malperfusions are associated with adverse pregnancy outcomes often linked with GDM.

Multiorgan Regulation Mechanisms and Nutritional Intervention Strategies in Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) affects millions of pregnant women worldwide and leads to both short- and long-term complications for mothers and their fetuses. Managing GDM through diet, physical activity, and medical interventions can significantly reduce these risks. Studies have identified the individual and combined roles of organs regulated by placental hormones, cytokines, and gut microbiota as key pathways contributing to impaired glucose homeostasis. In this context, placental hormones mediate the crosstalk among the placenta, pancreas, and adipose tissue, stimulating endocrine pancreas adaptation and adipose tissue expansion. However, insufficient maternal physiological adaptations, such as dysregulated adipocytokines, adipokines, and oxidative stress in the pancreas, can create an environment conducive to the onset of GDM. Furthermore, gut dysbiosis implies potential mechanisms of gut-host interaction associated with the occurrence of GDM, with short-chain fatty acids possibly serving as crucial targets. Nutritional therapy is recognized as the first-line approach for managing GDM, encompassing dietary guidance and supplementation with micro- and macronutrients as well as bioactive components. Importantly, combined interventions involving multiple nutrients, such as probiotics and prebiotics with vitamins or minerals, may exert stronger beneficial effects on the prevention and treatment of GDM and its complications. This review paper discusses the regulatory role of multiorgans in GDM and the implementation of nutritional therapy for its prevention and management, along with associated complications.

Advanced maternal age is a risk factor for both early and late gestational diabetes mellitus: The Japan Environment and Children's Study

AIMS

This study investigated the association between maternal age and early and late gestational diabetes mellitus (GDM).

METHODS

In total, 72,270 pregnant women were included in this prospective birth cohort study. Associations between maternal age and early GDM (diagnosed at <24 gestational weeks) and late GDM (diagnosed at ≥24 gestational weeks) were evaluated using a multinomial logistic regression model with possible confounding factors. The reference category was maternal age of 30-34.9 years.

RESULTS

Higher maternal age was associated with higher odds of early and late GDM (P-value for trend <0.0001 and <0.0001, respectively). The adjusted odds ratios (aORs) for early GDM with maternal age of 35-39.9 years and ≥40 were 1.399 (95% confidence interval [CI]: 1.134-1.725) and 2.494 (95% CI: 1.828-3.402), respectively. The aORs for late GDM with maternal age of 35-39 years and ≥40 were 1.603 (95% CI: 1.384-1.857) and 2.276 (95% CI: 1.798-2.881), respectively.

CONCLUSIONS

Higher maternal age was associated with an increased risk of GDM regardless of when GDM was diagnosed. The association between maternal age and early GDM was similar to that between maternal age and late GDM.

Nutrigenetic and Epigenetic Mechanisms of Maternal Nutrition-Induced Glucolipid Metabolism Changes in the Offspring

Maternal nutrition during pregnancy regulates the offspring's metabolic homeostasis, including insulin sensitivity and the metabolism of glucose and lipids. The fetus undergoes a crucial period of plasticity in the uterus; metabolic changes in the fetus during pregnancy caused by maternal nutrition not only influence fetal growth and development but also have a long-term or even life-long impact for the offspring. Epigenetic modifications, such as DNA methylation, histone modification, and non-coding RNAs, play important roles in intergenerational and transgenerational effects. In this context, this narrative review comprehensively summarizes and analyzes the molecular mechanisms underlying how maternal nutrition, including a high-fat diet, polyunsaturated fatty acid diet, methyl donor nutrient supplementation, feed restriction, and protein restriction during pregnancy, impacts the genes involved in glucolipid metabolism in the liver, adipose tissue, hypothalamus, muscle, and oocytes of the offspring in terms of the epigenetic modifications. This will provide a foundation for the further exploration of nutrigenetic and epigenetic mechanisms for integrative mother-child nutrition and promotion of the offspring's health through the regulation of maternal nutrition during pregnancy. Note: This paper is part of the Nutrition Reviews Special Collection on Precision Nutrition.

The impact of lowering the blood glucose cut-off values in gestational diabetes mellitus on maternal and perinatal outcomes

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with a risk of giving birth to neonates large for gestational age (LGA). Giving birth to a LGA child increases the risk of maternal and perinatal complications. In Sweden, the blood glucose level required for GDM diagnosis has been lowered, resulting in an increased number of women receiving a GDM diagnosis.

PURPOSE

The study aimed to determine whether the change in diagnostic criteria for GDM impacted the incidence of LGA and the assessment of additional maternal and perinatal complications.

METHODS

This retrospective cohort study involved 1237 women diagnosed with GDM. Among them, 92 delivered infants with LGA, 31 delivered infants small for gestational age (SGA), and 1111 delivered infants appropriate for gestational age (AGA). The primary outcome was to compare the incidence of LGA in the different cohorts based on the year they gave birth. Women without GDM at the same periods and their offspring were also analysed.

RESULTS

The incidence of LGA decreased following the change in diagnostic criteria for GDM (OR 0.43; CI 95 %, 0.27-0.68), a result that remained consistent after adjusting for known risk factors (aOR 0.44; CI 95 %, 0.27-0.7).

CONCLUSION

Lowering blood glucose cut-off values was associated with reduced risk of LGA. Compared to the group of mothers without GDM, the intervention did not appear to account for the lower incidence of LGA. Instead, the results suggest a dilution effect, indicating that mothers included after the change were healthier, exhibiting milder diabetes and, therefore, showed improved outcomes.

THE CLINICAL TRIAL REGISTRATION NUMBER

NCT04794283.

Psychosocial, Behavioral, and Medical Drivers of Gestational Diabetes among Racial-Ethnic Groups

Certain racial and ethnic groups have historically been labeled "high-risk" for the development of gestational diabetes mellitus (GDM). Our objective was to identify the psychosocial, behavioral, and medical factors associated with GDM and determine if they differ by race/ethnicity.Secondary analysis of a multicenter, prospective cohort study of pregnant nulliparous individuals with singleton gestations (2010-2013). The primary outcome was GDM. Psychosocial, behavioral, and medical characteristics were compared by self-reported race/ethnicity. Multivariable logistic regression with backward selection identified factors associated with GDM. Interaction terms between race/ethnicity and risk factors were tested.Of 8,672 pregnant individuals, 61% were non-Hispanic White, 13% non-Hispanic Black, 17% Hispanic, 4% Asian, and 5% other. The incidence of GDM differed by race/ethnicity with 4% non-Hispanic White, 3% non-Hispanic Black, 5% Hispanic, 11% Asian, and 5% other (p < 0.001). Of 34 psychosocial, behavioral, and medical factors, those associated with GDM were parent with history of diabetes (adjusted odds ratio [aOR]: 1.72; 95% confidence interval [CI]: 1.33-2.23), non-English language (aOR: 2.57; 95% CI: 1.14-5.79), daily calorie intake (aOR: 1.18; 95% CI: 1.08-1.29), daily fiber intake (aOR: 0.84; 95% CI: 0.75-0.94), maternal age (aOR: 1.53; 95% CI: 1.37-1.70), prepregnancy BMI (aOR: 1.21; 95% CI: 1.02-1.44), and waist circumference (aOR: 1.21; 95% CI: 1.03-1.43). These associations did not differ based on race/ethnicity (interaction p-values > 0.1).Replacing race/ethnicity as a risk factor for GDM with significant upstream psychosocial, behavioral, and medical factors should be considered. · GDM varies in incidence based on race.. · GDM was linked to a parent with various factors.. · These factors are the history of diabetes, non-English language, and daily calorie intake.. · These factors also include lower daily fiber intake, maternal age, prepregnancy BMI, and waist circumference.. · The psychosocial, behavioral, and medical factors associated with GDM did not differ based on race/ethnicity..

Clusters and associations of adverse neonatal events with adult risk of multimorbidity: A secondary analysis of birth cohort data

OBJECTIVE

To investigate associations between clustered adverse neonatal events and later-life multimorbidity.

DESIGN

Secondary analysis of birth cohort data.

SETTING

Prospective birth cohort study of individuals born in Britain in one week of 1970.

POPULATION

Respondents provided data at birth (n = 17,196), age 34 (n = 11,261), age 38 (n = 9,665), age 42 (n = 9,840), and age 46 (n = 8,580).

METHODS

Mixed components analysis determined included factors, 'Birthweight'; 'Neonatal cyanosis'; 'Neonatal cerebral signs'; 'Neonatal illnesses'; 'Neonatal breathing difficulties'; and 'Prolonged duration to establishment of respiratory rate at birth', within the composite adverse neonatal event score. Log-binomial regression quantified the unadjusted and covariate-adjusted (paternal employment status and social class; maternal smoking status; maternal age; parity; cohort member smoking status and Body Mass Index) associations between the adverse neonatal event score and risk of multimorbidity in adulthood.

OUTCOME MEASURES

Multimorbidity at each adult data sweep, defined as the presence of two or more Long-Term Conditions (LTCs).

RESULTS

13.7% of respondents experienced one or more adverse neonatal event(s) at birth. The percentage reporting multimorbidity increased steadily from 14.6% at age 34 to 25.5% at age 46. A significant association was only observed at the 38 years sweep; those who had experienced two or more adverse neonatal events had a 41.0% (95% CI: 1.05 - 1.88) increased risk of multimorbidity, compared to those who had not suffered any adverse neonatal events at birth. This association was maintained following adjustment for parental confounders and adult smoking status.

CONCLUSIONS

Adverse neonatal events at birth may be independently associated with the development of midlife multimorbidity. Programmes and policies aimed at tackling the growing public health burden of multimorbidity may also need to consider interventions to reduce adverse neonatal events at birth.

Moderate Chili Consumption During Pregnancy Is Associated with a Low Risk of Gestational Diabetes (GDM)

Background/Objectives: We examined the association between bean consumption and the risk of gestational diabetes mellitus (GDM). Methods: We analyzed data from 1397 U.S. pregnant women from Infant Feeding Practices Study II. By using a Diet History Questionnaire, pregnant women were asked about the frequency of consumption and portion size of dried beans, chili, and bean soup over the previous month. They also reported the status of GDM. We used multivariable logistic regression models to examine associations between maternal bean consumption and the risk of GDM, adjusting for socio-demographic and pregnancy-related confounders. Results: Mean bean consumption was low among pregnant women: 0.31 cups/week of dried beans, 0.16 cups/week of chili, and 0.10 cups/week of bean soup. Dried bean consumption was relatively high in Hispanic mothers (mean, 0.65 cups/week) and mothers from the East South Central region (0.44). Chili consumption was relatively high in mothers who were Black (0.33), who did not attend college (0.18), who had a household size of 4+ (0.19), whose household income was Collapse

Key Words

• bean
• chili
• diet
• dietary intervention
• gestational diabetes
• glucose
• legume
• maternal
• pregnancy nutrition
• pulse

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MESH Headings

• Humans
• Female
• Pregnancy
• Diabetes, Gestational/epidemiology
• Diabetes, Gestational/prevention & control
• Adult
• Risk Factors
• Diet
• Fabaceae
• Young Adult
• United States/epidemiology
• Logistic Models
• Maternal Nutritional Physiological Phenomena

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Grants

• ARS 58-3060-1-040 United States Department of Agriculture

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Affiliation(s)

Xiaozhong Wen Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Fatima Makama Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Ryan Buzby Department of Biological Sciences, College of Arts and Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA; (R.B.); (I.E.)
Jeremy Nguyen Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA;
Rose Durnell Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Iyobosa Ekhator Department of Biological Sciences, College of Arts and Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA; (R.B.); (I.E.)
Daren Chan Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Todd C. Rideout Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA;

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Collaborators Collapse

The interdependence of mid-trimester blood pressure and glucose levels in shaping fetal growth and neonatal outcomes: implications for risk-benefit assessment and co-management

BACKGROUND

Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored.

METHODS

Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups.

RESULTS

Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels.

CONCLUSIONS

Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.

The Hidden Impact of Gestational Diabetes: Unveiling Offspring Complications and Long-Term Effects

BACKGROUND

Gestational diabetes mellitus (GDM), characterized by gestational hyperglycemia due to insufficient insulin response, poses significant risks to both maternal and offspring health. Fetal exposure to maternal hyperglycemia leads to short-term complications such as macrosomia and neonatal hypoglycemia and long-term risks including obesity, metabolic syndrome, cardiovascular dysfunction, and type 2 diabetes. The Developmental Origins of Health and Disease (DOHaD) theory explains how maternal hyperglycemia alters fetal programming, increasing susceptibility to metabolic disorders later in life.

OBJECTIVE

This review explores the intergenerational impact of GDM, linking maternal hyperglycemia to lifelong metabolic, cardiovascular, and neurodevelopmental risks via epigenetic and microbiome alterations. It integrates the most recent findings, contrasts diagnostic methods, and offers clinical strategies for early intervention and prevention.

METHODS

A comprehensive literature search was conducted in PubMed, Scopus, and ScienceDirect to identify relevant studies published between 1 January 2000 and 31 December 2024. The search included studies focusing on the metabolic and developmental consequences of GDM exposure in offspring, as well as potential mechanisms such as epigenetic alterations and gut microbiota dysbiosis. Studies examining preventive strategies and management approaches were also included.

KEY FINDINGS

Maternal hyperglycemia leads to long-term metabolic changes in offspring, with epigenetic modifications and gut microbiota alterations playing key roles. GDM-exposed children face increased risks of obesity, glucose intolerance, and cardiovascular diseases. Early screening and monitoring are crucial for risk reduction.

PRACTICAL IMPLICATIONS

Understanding the intergenerational effects of GDM has important clinical implications for prenatal and postnatal care. Early detection, lifestyle interventions, and targeted postnatal surveillance are essential for reducing long-term health risks in offspring. These findings emphasize the importance of comprehensive maternal healthcare strategies to improve long-term outcomes for both mothers and their children.

Meta-analysis of risk factors for recurrent gestational diabetes mellitus

BACKGROUND

To comprehensively evaluate the risk factors for recurrent gestational diabetes mellitus (GDM) in women with a history of GDM during re-pregnancy.

METHODS

Articles about risk factors for recurrent GDM were searched in China National Knowledge Infrastructure, Wanfang Data, VIP Database for Chinese Technical Periodicals, PubMed, EMBASE, the Cochrane Library, and Web of Science from the date of establishment to January 2023. Meta-analysis of risk factors for recurrent GDM was performed using STATA/SE 15.1 software.

RESULTS

A total of 19 studies were included in the meta-analysis, comprising 15 case-control studies and 4 cohort studies, involving 11,385 patients. Among them, 2,462 patients experienced recurrent GDM, while 2,909 did not. The analysis of case-control studies revealed a GDM recurrence rate of 48%. Meta-analysis identified several significant risk factors for GDM recurrence: advanced maternal age at subsequent pregnancy [ES = 3.02, 95% CI (1.24,2.79), P = 0.003], increased BMI prior to the subsequent pregnancy [ES = 2.23, 95% CI (1.04,1.72), P = 0.026], elevated 1-hour plasma glucose levels in oral glucose tolerance test (OGTT) during previous pregnancy [ES = 2.79, 95% CI (1.11,1.78), P = 0.005], increased 2-hour OGTT glucose levels in previous pregnancy [ES = 2.75, 95% CI (1.11,1.91), P = 0.006], and previous delivery of macrosomia [ES = 3.48, 95% CI (1.38,3.18), P = 0.001]. All these factors showed statistically significant differences between the recurrence and non-recurrence groups. Pregnant women with a history of GDM can reduce the risk of recurrence by adopting a reasonable pregnancy plan, such as avoiding advanced maternal age, managing body weight, controlling blood glucose levels during pregnancy, and losing weight before conception.

CONCLUSION

Advanced maternal age, elevated BMI before subsequent pregnancy, increased OGTT levels during the previous pregnancy, and the delivery of macrosomia are significant risk factors for recurrent GDM.

Bioinformatic identification of signature miRNAs associated with fetoplacental vascular dysfunction in gestational diabetes mellitus

Background

Intrauterine exposure to gestational diabetes mellitus (GDM) poses significant risks to fetal development and future metabolic health. Despite its clinical importance, the role of microRNAs (miRNAs) in fetoplacental vascular endothelial cell (VEC) programming in the context of GDM remains elusive. This study aims to identify signature miRNA genes involved in this process using bioinformatics analysis via multiple algorithms.

Methods

The dataset used in this study was acquired from Gene Expression Omnibus (GEO). Firstly, differentially expressed miRNA genes (DEMGs) were evaluated using limma package. Thereafter, an enrichment analysis of DEMGs was performed. Then, the least absolute shrinkage and selection operator (LASSO) and support vector machine (SVM) were used as the other algorithms for screening candidate signature miRNA genes. Genes from the intersection of limma, LASSO, and SVM genes were used as the final signature miRNA genes. The receiver operator characteristic curve (ROC), the nomogram diagram, gene set enrichment analysis (GSEA), and signature miRNAs-target genes interaction network were implemented further to explore the features and functions of signature genes.

Results

A total of 32 DEMGs, with 21 upregulated and 11 downregulated miRNA genes, were obtained from limma analysis. LASSO and SVM analyses identified 15 and 12 candidate signature miRNA genes, respectively. After the intersection of genes from limma, LASSO, and SVM analyses, MIR34A and MIR186 were found as the final signature genes related to fetoplacental VEC programming. MIR34A and MIR186 were highly expressed and were associated with an increased risk of fetoplacental VEC programming in GDM mothers. The area under the curve (AUC) of ROC for MIR34A and MIR186 were 0.960 and 0.935, respectively. GSEA analysis revealed that these signature genes positively participate in cellular processes related to VEC migration, cell differentiation, angiogenesis, programmed cell death, and inflammatory response. Finally, miRNAs-target genes interaction network analysis provides the interaction of signature miRNAs and their critical target genes, which may help further studies for miR-34a and miR-186 in GDM.

Conclusions

MIR34A and MIR186 are novel signature miRNA genes related to fetoplacental VEC programming that may represent critical genes associated with placental function and fetal programming under GDM conditions.

Differential associations between birthweight and cardiometabolic characteristics among persons with and without type 2 diabetes in the UK Biobank

Low birthweight is a risk factor for type 2 diabetes. We hypothesised that differential associations between birthweight and clinical characteristics in persons with and without type 2 diabetes may provide novel insights into the role of birthweight in type 2 diabetes and its progression. We analysed UK Biobank data from 9,442 persons with and 254,446 without type 2 diabetes. Associations between birthweight, clinical traits, and genetic predisposition were assessed using adjusted linear and logistic regression, comparing the lowest and highest 25% of birthweight to the middle 50%. Each kg increase in birthweight was associated with higher BMI, waist, and hip circumference, with stronger effects in persons with versus without type 2 diabetes (BMI: 0.74 [0.58, 0.90] vs. 0.21 [0.18, 0.24] kg/m2; waist: 2.15 [1.78, 2.52] vs. 1.04 [0.98, 1.09] cm; hip: 1.65 [1.33, 1.97] vs. 1.04 [1.04, 1.09] cm). Family history of diabetes was associated with higher birthweight regardless of diabetes status, albeit with a twofold higher effect estimate in type 2 diabetes. Low birthweight was further associated with prior myocardial infarction regardless of type 2 diabetes status (OR 1.33 [95% CI 1.11, 1.60] for type 2 diabetes; 1.23 [95% CI 1.13, 1.33] without), and hypertension (OR 1.25 [1.23, 1.28] and stroke 1.24 [1.14, 1.34]) only among persons without type 2 diabetes. Differential associations between birthweight and cardiometabolic traits in persons with and without type 2 diabetes illuminate potential causal inferences reflecting the roles of pre- and postnatal environmental versus genetic aetiologies and disease mechanisms.

Trends of Large for Gestational Age and Macrosomia and Their Mediating Effect on the Association Between Diabetes Mellitus and Obstetric Hemorrhage

This study aimed to determine the prevalence of large for gestational age (LGA) and macrosomia in China from 2012 to 2021 and explore if LGA and macrosomia mediate the relationship between diabetes mellitus in pregnancy (DIP) and obstetric haemorrhage. The overall annual change rate (ACR) was calculated, and stratification analysis was performed. Mediation analysis assessed the influence of LGA and macrosomia in the association between DIP and obstetric haemorrhage. The nationwide prevalence of LGA and macrosomia was 15.8% and 6.8%, respectively. The ACR for LGA was 0.71% (95% CI, 0.66%-0.76%); pre-2016, -0.44% (95% CI, -0.63% to -0.25%); post-2016, -0.29% (95% CI, -0.39% to -0.19%). The ACR for macrosomia was -1.17% (95% CI, -1.24% to -1.09%); pre-2016, -0.73% (95% CI, -1.03% to -0.43%); post-2016, -2.42% (95% CI, -2.59% to -2.26%). In western and rural area, the ACR for LGA was 1.94% (95% CI, 1.84%-2.05%) and 1.81% (95% CI, 1.73%-1.89%), and LGA was increasing among these women in the post-2016 period. About 7.0% of pregnant women had DIP, and the LGA and macrosomia prevalences among women with DIP were 23.7% and 10.0%, respectively. In the mediation analysis, the total excess risk associated with DIP on obstetric haemorrhage was approximately 0.21 and the proportion mediated by LGA and macrosomia was 12.10% and 11.81%, respectively. In rural areas, the proportion mediated by LGA and macrosomia was amplified to 18.34% and 16.40%. Macrosomia rates declined steadily, but LGA rates increased slightly in disadvantaged areas. LGA and macrosomia mediated the association between DIP and obstetric haemorrhage, and the mediating effect intensified in rural regions. Addressing LGA warrants management for at-risk fetuses.

Microscopic changes and gross morphology of placenta in women affected by gestational diabetes mellitus in dietary treatment: A systematic review

Introduction/objective

Gestational diabetes mellitus (GDM) influences adverse maternal and fetal outcomes. Nutritional therapy and exercise are the first steps to maintain normal glucose levels. During pregnancy, metabolic status influences placental development.

Methods

This systematic review focused only on the morphology of the placenta and its microscopic changes in GMD under dietary therapy. A systematic search was performed on the main databases from inception to September 2024 (PROSPERO ID: CRD42024581621). Only original articles on GDM in diet and exercise treatment that reported at least one outcome of interest (microscopic features and macroscopic morphology of the placenta) were included.

Results

A total of 716 studies were identified, and nine met the inclusion criteria. The analysis confirmed that despite dietary control, some morphological changes in the placenta, including villus immaturity, chorangiosis, and fibrinoid necrosis, occurred at a different rate. In addition, the included studies reported an increase in placental weight in the diet-controlled GDM group.

Conclusion

Therefore, the results of the present qualitative analysis show that pregnant women with diet-controlled GDM, despite adequate glycemic control, abnormal placental development may persist. Our findings remark on the importance of the correct diet-managed GDM pregnancy monitoring due to the placental morphology abnormalities related to GMD.

The first-trimester triglyceride glucose-body mass index is a valuable predictor for adverse pregnancy outcomes

BACKGROUND

Although insulin resistance has been associated with unfavorable pregnancy outcomes, the ability of non-insulin-based insulin resistance indicators to predict adverse pregnancy outcomes has yet to be thoroughly understood. The study aims to investigate the association and predictability of triglyceride glucose-body mass index (TyG-BMI), a biomarker of non-insulin-based insulin resistance, with the risks of adverse pregnancy outcomes.

METHOD

The retrospective study included 1,136 subjects. Group-based trajectory modeling (GBTM) was employed to identify the TyG-BMI index trajectory. Logistic regression, restricted cubic spline (RCS) regression, and subgroup analysis were used to assess the association between the TyG-BMI index trajectory and the first-trimester TyG-BMI index with the risks of adverse pregnancy outcomes. Receiver-operating characteristic (ROC) curve analysis and the DeLong test were utilized to evaluate the prediction ability of the first-trimester TyG-BMI index for adverse pregnancy outcomes.

RESULTS

GBTM revealed three distinct trajectories of the TyG-BMI index. Using the "low-stable" trajectory as a reference, the "high-stable" trajectory was independently associated with an increased risk of gestational diabetes mellitus (GDM) (aOR = 2.01, 95% CI 1.20-3.37), hypertensive disorders of pregnancy (HDP) (aOR = 6.05, 95% CI 3.00-12.18), and large for gestational age (LGA) (aOR = 2.83, 95% CI 1.28-6.25). The highest quartile of the first-trimester TyG-BMI index was independently linked to elevated GDM (aOR = 3.27, 95% CI 1.92-5.59), HDP (aOR = 9.26, 95% CI 3.19-26.88), and LGA (aOR = 2.26, 95% CI 1.00-5.09)risks. Additionally, the third quartile of the first-trimester TyG-BMI index had 2.21-fold increased odds of GDM (aOR = 2.21, 95% CI 1.27-3.82). The first-trimester TyG-BMI index demonstrated a significant linear association with GDM, HDP, SGA, and LGA risks. Compared to the TyG-BMI index trajectory, the highest quartile of the first-trimester TyG-BMI index exhibited a stronger association with the risks of GDM and HDP (aOR = 3.09 and 7.39, respectively). Furthermore, according to the ROC curve, the first-trimester TyG-BMI index outperformed the TyG index and triglyceride/high-density lipoprotein cholesterol (TG/HDL-c) ratio at predicting HDP (0.726 [0.650-0.801] vs. 0.603 [0.527-0.679] vs. 0.615 [0.537-0.693]), LGA (0.619 [0.540-0.699] vs. 0.534 [0.454-0.613] vs. 0.540 [0.458-0.622]), and GDM (0.664 [0.622-0.705] vs. 0.632 [0.588-0.676] vs. 0.604 [0.560-0.649]). According to the DeLong test, the first-trimester TyG-BMI index was a more valuable predictor for LGA and HDP compared to TyG index and TG/HDL-c ratio.

CONCLUSION

Higher levels of first-trimester TyG-BMI and a "high-stable" trajectory were linked to a greater risk of adverse pregnancy outcomes. Furthermore, as compared to TyG and TG/HDL-c, the first-trimester TyG-BMI index is a valuable predictor for HDP, GDM, and LGA.

Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China

BACKGROUND

Macrosomia presents significant risks to both maternal and neonatal health, however, accurate antenatal prediction remains a major challenge. This study aimed to develop machine learning approaches to enhance the prediction of fetal macrosomia at different stages of pregnancy.

METHODS

This retrospective study involved 500 pregnant women who delivered singleton infants at Beijing Tsinghua Changgung Hospital between December 2019 and July 2024. The training set comprised 208 cases of macrosomia and 208 non-macrosomia cases, with 84 additional cases used for external validation. A total of 23 candidate variables, including maternal characteristics, physical measurements, and laboratory tests were collected for feature selection. Seven algorithms were applied in combination with three sets of selected features, resulting in 21 fitted models. Model performance was evaluated via the area under the receiver operating characteristic curve (AUC), accuracy, precision, sensitivity, specificity, and F1-score.

RESULTS

Maternal height, pre-pregnancy weight, first-trimester weight, pre-labor weight, gestational age at birth, gestational weight gain, and the proportion of male neonates were significantly greater in the macrosomia group compared to non-macrosomia group in the training set (p < 0.05). The top five predictors for macrosomia were pre-labor weight, gestational weight gain, the Pre-labor Hb/First-trimester Hb ratio, first-trimester Hb, and maternal height. Logistic regression yielded the highest AUC values in the pre-pregnancy (0.790) and first-trimester (0.815) periods in the validation set, whereas the ensemble model achieved the highest AUC value of 0.930 before labor. SHapley Additive exPlanations (SHAP) analysis highlighted pre-labor weight, gestational age, gestational weight gain, first-trimester Hb, and neonatal sex as important factors for the prediction of macrosomia.

CONCLUSION

This is the first study to utilize machine learning with data from the pre-pregnancy, first-trimester, and pre-labor periods to predict macrosomia. The logistic regression model and the final ensemble model demonstrated strong predictive performance, offering valuable insights to improve pre-pregnancy counseling, antenatal assessment, and intrapartum decision-making.

Impact of fetal sex on neonatal outcomes in women with gestational diabetes mellitus: a systematic review and meta-analysis

BACKGROUND

Research on the relationship between fetal sex and neonatal outcomes in pregnant women with gestational diabetes mellitus (GDM) is limited, and existing findings have yielded inconsistent results. Therefore, the aim of our study was to investigate the impact of fetal sex on neonatal outcomes in mothers with GDM.

METHODS

We conducted a systematic search of six database) PubMed, Cochrane Library, Scopus, Web of Science, SID (Persian database), and Embase (up to January 1, 2025. The quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Subgroup analyses differentiated between retrospective and prospective cohorts for the primary outcomes. Sensitivity analyses were performed using the leave-one-out approach to evaluate the robustness of the pooled results. Additionally, a meta-regression analysis was conducted, considering maternal age, gestational weight gain, and BMI for both male and female infants.

RESULTS

From 702 studies screened, twelve observational studies were included in the analysis. The results revealed a significant increase in the rates of macrosomia (RR 1.47, 95% CI 1.23 to 1.77, 6 studies, 121,230 neonates; p < 0.0001), cesarean delivery (RR 1.05, 95% CI 1.03 to 1.06, 6 studies, 127,704 neonates; p < 0.0001), large for gestational age (LGA) (RR 1.21, 95% CI 1.08 to 1.36, 6 studies, 16,863 neonates; p < 0.0001), small for gestational age (SGA) (RR 1.14, 95% CI 1.05-1.25, 6 studies, 16,863 neonates; p = 0.002), and a 5-minute Apgar score of less than 7 (RR 1.26, 95% CI 1.11 to 1.43, 2 studies, 104,881 neonates; p = 0.0003) in male neonates compared to female neonates. However, there were no significant differences in the rates of preterm delivery (p = 0.86), jaundice (p = 0.75), and a 1-minute Apgar score of less than 7 (p = 0.08) between male and female neonates in women with GDM.

CONCLUSION

The findings suggest that male infants are at a greater risk of experiencing specific adverse outcomes in the context of GDM. Further research is needed to establish tailored interventions and guidelines to improve the care and management of women with GDM and their infants.

Impact of Vitamin D Deficiency on Gestational Diabetes and Pregnancy Outcomes Across Diverse Ethnic Groups: A Retrospective Cohort Study

Background: Vitamin D deficiency is linked to adverse pregnancy outcomes like gestational diabetes mellitus (GDM), but its effects across ethnic groups are unclear. This study examines the relationship among vitamin D levels, glucose tolerance, GDM prevalence, and neonatal outcomes in a multi-ethnic cohort of pregnant women. Methods: We conducted a retrospective analysis of 252 pregnant women from antenatal clinics between 2018 and 2022. Participants were divided into four groups based on serum vitamin D levels: severely deficient (<25 nmol/L), deficient (25-50 nmol/L), insufficient (51-75 nmol/L), and sufficient (>75 nmol/L). The analysis included multivariate linear regression models adjusted for age, ethnicity, BMI, gestational diabetes status, and seasonality. An area under the receiver operating characteristic (AUROC) analysis identified the vitamin D threshold linked to an increased GDM risk. Results: Women classified as severely deficient had higher fasting glucose levels (5.73 ± 1.24 mmol/L) than those in other groups (p = 0.003, adjusted). The AUROC analysis identified a vitamin D threshold of 45 nmol/L associated with an elevated GDM risk (AUROC = 0.78, CI: 0.70-0.85). South Asian women had lower vitamin D levels (41.17 ± 18.03 nmol/L vs. 45.15 ± 16.75 nmol/L) and higher glucose tolerance test (GTT) levels than Caucasian women, despite having lower BMIs. Moreover, vitamin D levels positively correlated with neonatal birth weight (p = 0.02). Conclusions: There is a strong link between vitamin D deficiency and increased GDM risk, especially among South Asian women. These findings underscore the need for targeted interventions to improve vitamin D levels in high-risk ethnic groups.

Biomarkers of Gestational Diabetes Mellitus: Mechanisms, Advances, and Clinical Utility

Gestational diabetes mellitus (GDM) continues to pose a significant challenge to maternal and fetal health, driving the need for advanced diagnostic and therapeutic strategies. Biomarker discovery has proven essential for early detection, mechanistic insights, and targeted interventions. This review provides an in-depth examination of biomarkers related to GDM, focusing on glucose metabolism, insulin resistance, inflammatory signaling, adipokines, oxidative stress markers, and genetic/epigenetic determinants. We also evaluate novel biomarkers emerging from omics technologies and their translational potential in clinical practice. Additionally, we explore the role of microRNAs and extracellular vesicles as emerging biomarkers that could offer new perspectives on GDM pathophysiology. Integration of these biomarkers into predictive models holds the potential to improve risk assessment and patient health outcomes.

Ozone Exposure and Gestational Diabetes in Twin Pregnancies: Exploring Critical Windows and Synergistic Risks

The relationship between ozone (O3) exposure and gestational diabetes mellitus (GDM) in twin pregnancies remains unexplored. This study aimed to investigate the association between O3 exposure and GDM risk in twin pregnancies, and to explore the synergistic effects of O3 exposure with other maternal factors. A total of 428 pregnancies recruited from a prospective twin cohort were included. Cox proportional hazard models with distributed lag non-linear models (DLNMs) were applied to examine the associations between O3 exposure and the risk of GDM and to identify the critical windows. The multiplicative and additive interaction were further analyzed to test the synergistic effects. A 10 μg/m3 increase in average O3 exposure during the 12 weeks before pregnancy was associated with a 26% higher risk of GDM. The critical windows were identified in the period from the 3rd week before gestation to the 2nd gestational week as well as from the 17th to 19th gestational week. There were synergistic effects between high O3 exposure during preconception and advanced maternal age, and a history of preterm birth/abortion/stillbirth. Periconceptional O3 exposure could increase the risk of GDM in twin pregnancy women, and the synergism of O3 exposure with certain GDM risk factors was observed.

Pediococcus acidilactici CECT 9879 (pA1c®) and heat inactivated pA1c® (pA1c® HI) ameliorate gestational diabetes mellitus in mice

AIMS

Gestational diabetes mellitus (GDM) is the most common complication of pregnancy and is known to be associated with an increased risk of postpartum metabolic disease. Based on the important role that the intestinal microbiota plays in blood glucose regulation and insulin sensitivity, supplementation of probiotic and postbiotic strains could improve glucose metabolism and tolerance in GDM.

MAIN METHODS

56 4-week-old female C57BL/6J-mice were divided into 4 groups (n = 14 animals/group): control (CNT), high-fat/high-sucrose (HFS), pA1c® alive (pA1c®) and heat-inactivated pA1c® (pA1c®HI). Serum biochemical parameters were analyzed, gene expression analyses were conducted, and fecal microbiota composition was evaluated by shot-gun sequencing.

KEY FINDINGS

pA1c®- and pA1c® HI-supplemented groups presented reduced fasting blood glucose levels and reduced insulin resistance during gestation and exhibited lower visceral adiposity and increased muscle tissue, together with an improvement in intrahepatic TGs content and ALT levels. Liver gene expression analyses demonstrated that pA1c® and pA1c® HI activities were mediated by modulation of the insulin receptor, but also by an overexpression of beta-oxidation genes, and downregulation of fatty acid biosynthesis genes. Shot-gun metagenomics demonstrated that Pediococcus acidilactici was detected in the feces of all the pA1c® and pA1c® HI-group after the supplementation period (75 % of the microbial profile was Pediococcus acidilactici) in only nine weeks of supplementation, and modulated gut microbiota composition.

SIGNIFICANCE

These results may be considered as future perspectives for the development of preventive, even therapeutic options for GDM based on hyperglycemia reduction, blood glucose regulation, hepatic steatosis attenuation and insulin resistance alleviation.

Early Prediction of Fetal Macrosomia Through Maternal Lipid Profiles

The prevalence of fetal macrosomia is steadily increasing worldwide, reaching up to 20%. Fetal macrosomia complicates pregnancy and delivery. Current prediction strategies are inaccurate, and most patients with fetal macrosomia go into labor with an "unknown status". The aim of this study was to develop a system for predicting fetal macrosomia based on the lipid profiles of pregnant women's blood serum. In total, 110 patients were included in this study: 30 patients had gestational diabetes mellitus (GDM) and 80 did not. During the observation, blood samples were collected at three time points: in the first trimester (11-13 weeks of pregnancy), in the second trimester (24-26 weeks), and in the third trimester (30-32 weeks). Lipids were detected by flow injection analysis with mass spectrometry. Lipid profiles of pregnant women were discriminated by orthogonal projection on latent structure discriminant analysis (OPLS-DA) in all three trimesters. The developed OPLS-DA models allowed for the prediction of the occurrence of fetal macrosomia during pregnancy. Three sets of models were developed: models independent of GDM status with a sensitivity of 0.85 and specificity of 0.91, models for patients with positive GDM status with a sensitivity of 0.91 and specificity of 0.96, and models for patients with negative GDM status with a sensitivity of 0.93 and specificity of 0.92. Phosphatidylcholines and sphingomyelins were the most important discriminative features. These lipid groups probably play an important role in the pathogenesis of fetal macrosomia and may serve as laboratory markers of this pregnancy complication.

Longitudinal DNA methylation profiles in saliva of offspring from mothers with gestational diabetes: associations with early childhood growth patterns

BACKGROUND

The prevalence of obesity and type 2 diabetes mellitus (T2DM) is rising globally, particularly among children exposed to adverse intrauterine environments, such as those associated with gestational diabetes mellitus (GDM). Epigenetic modifications, specifically DNA methylation, have emerged as mechanisms by which early environmental exposures can predispose offspring to metabolic diseases. This study aimed to investigate DNA methylation differences in children born to mothers with GDM compared to non-GDM mothers, using saliva samples, and to assess the association of these epigenetic patterns with early growth measurements.

METHODS

This study analyzed saliva DNA methylation patterns in 30 children (15 born to GDM mothers and 15 to non-GDM mothers) from the EPIDG cohort. Samples were collected at two time points: 8-10 weeks postpartum and at one year of age. Epigenome-wide analysis of over 850,000 CpG sites was conducted using the Illumina Methylation EPIC Bead Chip. Differential methylation positions (DMPs) were identified with the limma package, using a significance threshold of p < 0.01 and delta β ≥ 5%. Correlation analysis examined associations between methylation and growth variables (weight, height, BMI and annual growth) using Spearman tests.

RESULTS

We identified 6,968 DMPs at the postpartum stage and 5,132 after one year, with 50 sites remaining differentially methylated over time, 16 of which maintained consistent methylation directionality. Functional analysis linked several of these DMPs to genes involved in inflammation and metabolic processes, including CYTH3 and FARP2, both implicated in growth and metabolic pathways. Significant correlations were found between specific CpG sites and growth-related variables such as weight, head circumference, height, and BMI.

CONCLUSIONS

This study's longitudinal design reveals stable DNA methylation patterns in saliva samples that differentiate GDM-exposed children from controls across the first year of life, highlighting the feasibility of saliva as a minimally invasive biomarker source. The persistence of these epigenetic signatures underscores their potential as early indicators of metabolic risk, offering valuable insights into the long-term impact of maternal GDM on child health. Although the use of saliva offers a practical and non-invasive tool for pediatric epigenetic research, further studies are necessary to validate these findings in larger populations.

Neonatal Circulating Amino Acids and Lipid Metabolites Mediate the Association of Maternal Gestational Diabetes Mellitus with Offspring Neurodevelopment at 1 Year

Background/Objectives: We aimed to identify neonatal circulating metabolic alterations associated with maternal gestational diabetes mellitus (GDM) and to explore whether these altered metabolites could mediate the association of GDM with offspring neurodevelopment. Additionally, we investigated whether neonatal circulating metabolites could improve the prediction of offspring neurodevelopmental disorders over traditional risk factors. Methods: The retrospective cohort study enrolled 1228 mother-child dyads in South China. GDM was diagnosed at 24-28 weeks of gestation. Neonatal circulating amino acids and lipid metabolites (carnitines) were measured from newborn heel blood 3-7 days postpartum. Offspring neurodevelopment was assessed at age 1 year using the Children Neuropsychological and Behavioral Examination Scale. Neurodevelopmental disorders were defined as developmental delay in any domain of the scale. Results: Twenty-one metabolites associated with GDM were identified, consisting of seven amino acids and fourteen carnitines. Among these metabolites, five (glycine, myristicylcarnitine, palmitoylcarnitine, octadecadienoylcarnitine, and 3-hydroxypalmitylcarnitine) mediated the negative association of GDM with offspring neurodevelopment at 1 year (mediation proportions: 3.91-10.66%). Furthermore, six metabolites (glycine, methionine, malonylcarnitine, isovalerylcarnitine, palmitoylcarnitine, and octadecadienoylcarnitine) significantly increased the predictive performance for offspring neurodevelopmental disorders at 1 year over five traditional risk factors including GDM, parity, infant sex, birth weight, and feeding patterns (area under curve: 0.762 vs. 0.718, p = 0.012). Conclusions: GDM was associated with a variety of amino acid and lipid metabolic alterations in neonatal circulation, among which certain metabolites mediated the association of GDM with adverse neurodevelopmental outcomes in offspring. Moreover, some neonatal circulating metabolites may serve as potential biomarkers that improved the prediction of offspring neurodevelopmental disorders over GDM and other traditional risk factors.

Gestational diabetes mellitus causes genome hyper-methylation of oocyte via increased EZH2

Gestational diabetes mellitus (GDM), a common pregnancy disease, has long-term negative effects on offspring health. Epigenetic changes may have important contributions to that, but the underlying mechanisms are not well understood. Here, we report the influence of GDM on DNA methylation of offspring (GDF1) oocytes and the possible mechanisms. Our results show that GDM induces genomic hyper-methylation of offspring oocytes, and at least a part of the altered methylation is inherited by F2 oocytes, which may be a reason for the inheritance of metabolic disorders. We further find that GDM exposure increases the expression of Ezh2 in oocytes. Ezh2 regulates DNA methylation via DNMT1, and Ezh2 knockdown reduces the genomic methylation level of GDF1 oocytes. These results suggest that GDM may induce oocyte genomic hyper-methylation of offspring via enhancing the Ezh2 expression recruiting more DNMT1 into nucleus.

Aberrant expression of solute carrier family transporters in placentas associated with pregnancy complications

INTRODUCTION

Solute carrier family transporters (SLCs), crucial for nutrient and trace element uptake in the placenta, play a significant role in fetal growth and development. Their dysregulation is associated with various pregnancy disorders. However, a comprehensive understanding of their role and regulation in placental function and pregnancy complications is still a largely unexplored area, making this study novel and significant.

METHODS

We performed a rigorous meta-analysis of publicly available NCBI GEO microarray and RNA-Seq datasets followed by bioinformatics analysis of differentially expressed SLCs in PE and IUGR. The identified SLCs were then validated using qPCR on PE placental samples, ensuring the reliability and validity of the findings.

RESULTS

Bioinformatics analysis of preeclampsia (PE) and Intrauterine Growth restriction (IUGR) datasets revealed significant associations between specific SLC transporters with disease pathology, identified by studying differentially expressed SLCs. Subsequent validation using qPCR on placental samples confirmed considerable downregulation of SLC6A8, SLC16A10, SLC25A3, and SLC29A3, highlighting their dysregulation in the pathogenesis of PE and IUGR.

DISCUSSION

The significant downregulation of SLC6A8, SLC16A10, SLC25A3, and SLC29A3 observed by bioinformatics analyses and validated by qPCR indicates atypical expression of these SLCs in gestational disorders. Our findings underscore the potential contribution of multiple SLC gene families to the development of placental pathologies associated with diverse pregnancy complications.

Large for Gestational Age and Adverse Outcomes: Stratified By Diabetes Status

OBJECTIVE

 To examine the association of adverse outcomes among parturients with large for gestational age (LGA; birth weight ≥ 90th) newborns, stratified by diabetes status. Additionally, we described the temporal trends of adverse outcomes among LGA neonates.

STUDY DESIGN

 This retrospective cohort study used the U.S. Vital Statistics dataset between 2014 and 2020. The inclusion criteria were singleton, nonanomalous LGA live births who labored and delivered at 24 to 41 weeks with known diabetes status. The coprimary outcomes were composite neonatal adverse outcomes of the following: Apgar score < 5 at 5 minutes, assisted ventilation > 6 hours, seizure, or neonatal or infant mortality, and maternal adverse outcomes of the following: maternal transfusion, ruptured uterus, unplanned hysterectomy, admission to intensive care unit, or unplanned procedure. Multivariable Poisson regression models were used to estimate adjusted relative risks (aRR) and 95% confidence intervals (CI). Average annual percent change (AAPC) was calculated to assess changes in rates of LGA and morbidity over time.

RESULTS

 Of 27 million births in 7 years, 1,843,467 (6.8%) met the inclusion criteria. While 1,656,888 (89.9%) did not have diabetes, 186,579 (10.1%) were with diabetes. Composite neonatal adverse outcomes (aRR = 1.48, 95% CI = 1.43, 1.52) and composite maternal adverse outcomes (aRR = 1.37, 95% CI = 1.36, 1.38) were significantly higher among individuals with diabetes, compared with those without diabetes. From 2014 to 2020, the LGA rate was stable among people without diabetes. However, there was a downward trend of LGA in people with diabetes (AAPC = - 2.4, 95% CI = - 3.5, -1.4).

CONCLUSION

 In pregnancies with LGA newborns, composite neonatal and maternal morbidities were higher in those with diabetes, compared with those without diabetes.

KEY POINTS

· Large for gestational age stratified by diabetes status.. · Composite neonatal and maternal adverse outcomes are worse among individuals with diabetes as compared to those without.. · During 2014 to 2020, the trend of LGA in individuals without diabetes increased..

Association of maternal 25(OH)D levels during pregnancy with fetal birth weight and preschooler growth status: A retrospective birth cohort study

AIM

There is limited and conflicting evidence available regarding the correlation between maternal vitamin D status and childhood overweight and body mass index (BMI). The aim of this study was to investigate the following: (1) potential association between maternal 25-hydroxyvitamin D (25(OH)D) levels and newborn growth status; (2) relationship between maternal 25OHD levels and BMI and the risk of overweight with preschoolers being overweight.

METHODS

A cohort of 3213 eligible singleton mother-infant pairs were used to investigate the possible associations between maternal 25(OH)D levels and fetal growth status. Data of 1767 available singleton mother-infant pairs and 6-year-old preschoolers was applied to analyze the potential correlations between maternal 25(OH)D status and risk of childhood overweight.

RESULTS

Compared with sufficient 25(OH)D in pregnancy group (≥75 nmol/L), there were no correlations between the maternal 25(OH)D deficiency (<50 nmol/L) and large gestational age (LGA) (p = 0.465), small gestational age (SGA) (p = 0.607), lower birth weight (LBW) (p = 0.725) or fetal macrosomia (p = 0.535). Moreover, no significant associations between insufficient maternal 25(OH)D (50-75 nmol/L) and LGA (p = 0.505), SGA (p = 0.816), LBW (p = 0.816), or fetal macrosomia (p = 0.413) were observed. We found statistically significant disparities between the fetal birth weight and height (p < 0.001), weight (p < 0.001), head circumference (p = 0.001) of 6-years preschooler. No significant associations were found between the maternal 25(OH)D levels and BMI and risk of overweight at 6-year-old preschoolers.

CONCLUSION

There were no apparent correlation found between maternal 25(OH)D concentrations and fetal birth status. There was no evidence found to suggest the effect of maternal 25(OH)D level on overweight at 6-year-old preschoolers.

Maternal Gestational Diabetes Mellitus (GDM) Moderates the Association Between Birth Weight and EEG Power in Healthy Term-Age Newborns

Gestational diabetes mellitus (GDM) affects around 10% of pregnancies in the United States and has been linked to neurodevelopmental sequelae in children. However, there is a paucity of studies investigating early-life neural markers in GDM-exposed infants. This study examined the association of GDM with relative EEG power among healthy term-age neonates collected during natural sleep. Participants included a diverse cohort of 101 mothers (45% multiracial, 25% Black, and 69% Hispanic or Latina) and their infants (gestational age at birth Mage = 39.0 ± 0.95; 46.5% female). We did not observe the main effect of GDM on infant relative EEG power. Our post hoc analyses revealed a significant interaction effect between GDM and infant birth weight on relative EEG power in active sleep. Among GDM-exposed neonates, increased birth weight was associated with increased relative theta EEG power and decreased relative beta and gamma EEG power across multiple electrode regions. Among non-GDM-exposed infants, increased birth weight was associated with decreased relative theta EEG power and increased relative beta and gamma EEG power across multiple electrode regions. Our findings suggest that alterations in fetal growth may serve as either an indirect marker or pathway through which GDM influences the developing fetal brain.

Periconceptional Folic Acid Supplementation and Risks of Small and Large for Gestational Age at Birth: The Mediation Effects of Maternal Homocysteine Level during Pregnancy

BACKGROUND

Periconceptional folic acid supplementation (FAS) is widely recommended. However, the role of periconceptional FAS on neonatal birth weight remains unclear.

OBJECTIVES

This study aimed to explore the independent effects of periconceptional FAS on risks of small for gestational age (SGA) and large for gestational age (LGA) and to test the potential mediation role of maternal homocysteine (Hcy) during pregnancy on the above significant associations.

METHODS

A large-scale prospective birth cohort was conducted in the Tongzhou Maternal and Child Health Hospital, Beijing, China, from June 2018 to August 2019. Periconceptional FAS was evaluated by a self-administered questionnaire on the day of recruitment in early pregnancy (<14th wk of gestation). FAS was defined as participants who had taken folic acid (FA) supplements, FA-containing multivitamins, or other FA-containing nutritional supplements. Neonatal birth weight was measured at delivery. Maternal serum Hcy concentrations were measured in early and late pregnancy, respectively. Logistic regression analyses were performed to assess the associations between FAS during preconception and/or early pregnancy and the occurrence of SGA or LGA. Mediation models were constructed to determine the role of maternal Hcy concentrations on the above associations.

RESULTS

FAS before pregnancy [risk ratios (RR), 0.814; 95% confidence interval (CI): 0.667, 0.993], during early pregnancy (RR, 0.625; 95% CI: 0.453, 0.862), and from prepregnancy to early pregnancy (RR, 0.565; 95% CI: 0.371, 0.859) were associated with a lower risk of LGA. However, no significant association was found between periconceptional FAS and SGA birth. Maternal Hcy concentration in late pregnancy mediated the independent effects of maternal FAS during preconception, early pregnancy, and both pre- and early pregnancy stages on risks of LGA birth (P < 0.05).

CONCLUSIONS

Periconceptional FAS was associated with a lower risk of LGA, which may be mediated by the reduced serum Hcy concentration in late pregnancy. The current recommendation of periconceptional FAS should be complied with to reduce risks of LGA.

Association between pre-gestational diabetes in women with polycystic ovary syndrome and adverse obstetric outcomes

OBJECTIVE

To evaluate the effect of pregestational diabetes mellitus (DM) on the likelihood of experiencing adverse pregnancy, delivery, and neonatal outcomes in pregnant women with polycystic ovary syndrome (PCOS).

STUDY DESIGN

A retrospective population-based study using data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP-NIS) database was performed. All deliveries between 2004 and 2014, inclusively, were studied using ICD-9 codes. Within the study period, 14,882 women had a diagnosis of PCOS, of which 673 (4.7%) had a diagnosis of pregestational diabetes. Chi-squared tests were used for comparison of demographics. Multivariate logistic regression analysis was performed to calculate unadjusted and adjusted odds ratios (aORs) and corresponding 95% confidence intervals (CI), controlling for confounding effects. IRB approval was not required, given data was anonymous and publicly available.

RESULTS

Women with PCOS and pre-gestational DM were more likely to develop pregnancy complications, including pregnancy induced hypertension (aOR 1.55; CI 1.25-1.92), preeclampsia (aOR 1.45; CI 1.04-2.02), preeclampsia or eclampsia superimposed on pre-existing hypertension (aOR 1.85; CI 1.29-2.66), and placenta previa (aOR 2.53; CI 1.06-6.01), after controlling for confounding demographics. Women with PCOS who had pregestational diabetes were at increased risk of preterm delivery (aOR 1.40; CI 1.09-1.80), and delivery by cesarean section (aOR 1.50; CI 1.23-1.84). Results demonstrated no difference in the rate of women who gave birth to small for gestational age (SGA) infants, the rate of intrauterine fetal demises (IUFD), and the rate of infants with congenital anomalies between the two groups.

CONCLUSION

The impact of pre-existing DM on the relationship between PCOS and pregnancy outcomes should be considered when counselling and planning care for pregnant women affected by these conditions. This emphasizes the importance of optimal perinatal care in diabetic women with PCOS as they are at higher risk of obstetric complications.

Gestational Diabetes Mellitus, Breastfeeding, and Progression to Type 2 Diabetes: Why Is It So Hard to Achieve the Protective Benefits of Breastfeeding? A Narrative Review

Women diagnosed with gestational diabetes mellitus (GDM) face a significantly heightened risk of developing type 2 diabetes mellitus (T2DM) later in life. Breastfeeding (BF) has been identified as a potential strategy to delay or prevent T2DM; however, women with GDM often encounter barriers in initiating and maintaining adequate BF practices compared to those with uncomplicated pregnancies. This paradox prompts an exploration into the causes of these BF challenges and considers the possibility of reverse causation: Does prolonged and intensive BF mitigate the risk of subsequent glucose dysregulation and T2DM? Alternatively, do women with compromised insulin secretion and sensitivity, who are predisposed to T2DM, struggle to sustain intensive BF practices? This narrative review aims to explore the interplay between GDM, BF, and T2DM development by examining the different factors that present BF challenges among women with GDM. Understanding these dynamics is crucial for establishing realistic BF expectations and developing effective clinical and public health strategies to support BF in this high-risk population.

"We Don't Have Any Clue What Will Happen to Them": Perspectives of Women Who Had Gestational Diabetes About Long-Term Child Outcomes

In utero exposure to gestational diabetes mellitus (GDM) is associated with adverse long-term outcomes. Little is known about how mothers perceive these outcomes and the support they need for optimal outcomes for their children. We aimed to explore how women perceive the risk of adverse outcomes for their children exposed to GDM and the support they require for their optimal health. We conducted semistructured interviews with women who experienced GDM in at least one previous pregnancy. Data collection continued until saturation, and analysis followed an iterative thematic approach. Twenty-five mothers participated, and their perceptions about later outcomes for children exposed to GDM varied. Five themes were identified: relating GDM to the offspring's later health; reactions to the potential for poor later outcomes; impact on child growth, development, and behavior; maintaining optimal health from childhood to adulthood; and recommendations for long-term care. Most mothers received no information about potential later child outcomes; some based their views on assumptions. Some mothers who believed their children were at increased risk of poor outcomes expressed fear and worry, while others proactively ensured their children engaged in healthy lifestyle choices. Mothers emphasized the need for support within health facilities (information provision, linking antenatal with child records, and risk assessment) and in the community (social groups, home visits) to ensure optimal health of their children. These findings have potential implications for policy and practice changes to optimize later health outcomes for children exposed to GDM.

Triglyceride-glycaemic index: Insights into predicting fetal macrosomia and its interaction with gestational diabetes mellitus: A cohort study of Chinese pregnant women

OBJECTIVE

This study investigates the association between a new insulin resistance indicator, the triglyceride-glucose (TyG) index, and the risk of macrosomia.

DESIGN

This is a prospective cohort study.

METHODS

This study included 1332 women who delivered at Peking University International Hospital between October 2017 and August 2019. Participants were divided equally into three groups based on the TyG index. Logistic regression and restricted cubic spline (RCS) analyses were used to evaluate the relationship between the TyG index and macrosomia and conducted subgroup analyses. The TyG index's ability to predict macrosomia was assessed using the receiver operating characteristic (ROC) curve.

RESULTS

Multivariable logistic regression analysis revealed that the TyG index is an independent risk factor for macrosomia (Odds ratio [OR] 1.84, 95% confidence interval [CI] 1.02-3.30, p < .05). RCS analysis indicates that the risk of macrosomia increases with the rise of the TyG index (p for nonlinearity <.001) when the TyG index is >6.53. Subgroup analysis showed a synergistic additive interaction between the TyG index and gestational diabetes mellitus (GDM) of macrosomia. The area under the ROC curve for the predictive model was 0.733 (95% CI 0.684, 0.781), with a sensitivity of 76.4% and specificity of 66.9%. Incorporating the TyG index alongside traditional risk factors notably enhances macrosomia prediction (p < .05).

CONCLUSIONS

The TyG index independently predicts macrosomia, and exhibits an additive interaction with GDM in its occurrence. Integrating the TyG index with traditional risk factors improves the prediction of macrosomia.

TRIAL REGISTRY

Clinical trials. gov [NCT02966405].

Correlation of sonographically measured fetal abdominal wall thickness with birth weight in diabetes

OBJECTIVE

To determine the association between sonographically measured abdominal wall thickness (AWT) and birth weight of fetuses of pregnant women with diabetes.

METHODS

This retrospective study included 185 pregnant women who presented to a level I perinatal centre between January 2021 and December 2022. All mothers had diabetes, and were divided into the following subgroups: diet-controlled gestational diabetes mellitus; insulin-dependent gestational diabetes mellitus; type 1 diabetes mellitus; and type 2 diabetes mellitus. At the time of admission, gestational age varied between 29 + 2 and 41 + 2 weeks (+days) of gestation. Weight estimation was performed routinely using the Hadlock I formula. Fetal AWT was determined retrospectively at the same axial level as used for the measurement of abdominal circumference. Only women with a sonographic fetal weight estimation within 5 days before delivery were included.

RESULTS

For the whole cohort, a moderate positive correlation was found between fetal AWT and estimated fetal weight (r = 0.411, p < 0.001), a moderate correlation was found between fetal AWT and birth weight (r = 0.493, p < 0.001), a weak correlation was found between fetal AWT and body length (r = 0.365, p < 0.001), and a weak correlation was found between fetal AWT and body length percentile (r = 0.276, p < 0.001). No strong differences in parameters were found between the diabetes subgroups. Receiver operating characteristic (ROC) curve analysis was performed to identify newborns with birth weight > 4000 g (macrosomia) and birth weight > 90th percentile according to Voigt in the group with gestational age > 37 weeks. ROC curve analysis was performed to identify newborns with birth weight > 90th percentile in the whole cohort. AWT and sonographically estimated fetal weight were included in the calculation. The combination of AWT and estimated fetal weight only led to a marginal improvement compared with estimated fetal weight alone for predicting newborns with birth weight > 4000 g in the group with gestational age > 37 weeks [area under the curve (AUC) 0.857 vs 0.871], and for predicting newborns with birth weight > 90th percentile in the group with gestational age > 37 weeks (AUC 0.840 vs 0.846) and in the whole cohort (AUC 0.816 vs 0.826).

CONCLUSION

A sonographically measured AWT of 7.1 mm in fetuses of diabetic mothers is predictive of birth weight > 90th percentile with sensitivity of 61 %, specificity of 85 %, and AUC of 0.748. ROC curve analysis showed that estimated fetal weight determined by ultrasound (using Hadlock formula I) seems to be slightly superior for the identification of macrosomic fetuses with birth weight > 90th percentile. A threshold value for estimated fetal weight of 3774 g had sensitivity of 70 %, specificity of 86 %, and AUC of 0.816. The combination of AWT and estimated fetal weight in a single formula only yielded a marginal improvement in accuracy compared with the use of estimated fetal weight alone.

Maternal Glycemic Status and Longitudinal Fetal Body Composition and Organ Volumes Based on Three-Dimensional Ultrasonography

OBJECTIVE

Gestational diabetes mellitus (GDM) increases the risk of fetal overgrowth as measured by two-dimensional ultrasonography. Whether fetal three-dimensional (3D) soft tissue and organ volumes provide additional insight into fetal overgrowth is unknown.

RESEARCH DESIGN AND METHODS

We prospectively evaluated longitudinal 3D fetal body composition and organ volumes in a diverse U.S. singleton pregnancy cohort (2015-2019). Women were diagnosed with GDM, impaired glucose tolerance (IGT), or normal glucose tolerance (NGT). Up to five 3D ultrasound scans measured fetal body composition and organ volumes; trajectories were modeled using linear mixed models. Overall and weekly mean differences in fetal 3D trajectories were tested across glycemic status, adjusted for covariates.

RESULTS

In this sample (n = 2,427), 5.2% of women had GDM, and 3.0% had IGT. Fetuses of women who developed GDM compared with NGT had larger fractional arm and fractional fat arm volumes from 26 to 35 weeks, smaller fractional lean arm volume from 17 to 22 weeks, and larger abdominal area from 24 to 40 weeks. Fetuses of women with IGT had similar growth patterns, which manifested later in gestation and with larger magnitudes, and had larger fractional lean arm volume. No overall differences were observed among thigh or organ volumes across glycemic status.

CONCLUSIONS

Body composition differed in fetuses of GDM-complicated pregnancies, including larger arm and abdominal measures across the second and third trimesters. Patterns were similar in IGT-complicated pregnancies except that they occurred later in gestation and with larger magnitudes. Future research should explore how lifestyle and medication may alter fetal fat accumulation trajectories among hyperglycemic pregnancies.

Impact of bisphenol A exposure on the risk of gestational diabetes: a meta-analysis of observational studies

Purpose

A growing number of evidence have assessed the association between bisphenol A (BPA) as an endocrine-disrupting agent and the risk of gestational diabetes (GDM). This meta-analysis aimed to reassess the data on the association of BPA levels in women with GDM compared to the control.

Methods

A comprehensive literature search was conducted in Medline, Embase, Scopus, and Web of Science to extract relevant published studies up to May 2024. 12 articles were included in the meta-analysis. DerSimonian and Liard random-effects model was used to estimate the pooled odds ratio (OR). Sensitivity analysis was conducted to assess the robustness of the pooled results by removing each study from the pooled effect size. Subgroup analyses were performed depending on the subgroups of gestational age, GDM trimester, BMI, study design and geographical area.

Results

The results showed that there was no significant association between circulating and urinary BPA concentrations with the risk of GDM (OR: 0.79; 95% CI 0.60-1.04; P = 0.095). No significant heterogeneity was found among the studies. Using Begg's correlation (P = 0.95) and Egger's linear regression (P = 0.86) tests, no publication bias was observed. The sensitivity analysis shows that our findings were completely robust and stable. Meta-regression indicated a significant association between BPA levels and study design and geometric mean as an index of the risk of GDM.

Conclusion

The present meta-analysis demonstrates exposure to BPA was associated with a reduced risk of GDM. Further studies are needed for obtain the reliable results.

Graphical Abstract

Brain age prediction and deviations from normative trajectories in the neonatal connectome

Structural and functional connectomes undergo rapid changes during the third trimester and the first month of postnatal life. Despite progress, our understanding of the developmental trajectories of the connectome in the perinatal period remains incomplete. Brain age prediction uses machine learning to estimate the brain's maturity relative to normative data. The difference between the individual's predicted and chronological age-or brain age gap (BAG)-represents the deviation from these normative trajectories. Here, we assess brain age prediction and BAGs using structural and functional connectomes for infants in the first month of life. We use resting-state fMRI and DTI data from 611 infants (174 preterm; 437 term) from the Developing Human Connectome Project (dHCP) and connectome-based predictive modeling to predict postmenstrual age (PMA). Structural and functional connectomes accurately predict PMA for term and preterm infants. Predicted ages from each modality are correlated. At the network level, nearly all canonical brain networks-even putatively later developing ones-generate accurate PMA prediction. Additionally, BAGs are associated with perinatal exposures and toddler behavioral outcomes. Overall, our results underscore the importance of normative modeling and deviations from these models during the perinatal period.

Association between gestational diabetes mellitus diagnostic criteria and adverse pregnancy outcomes-a systematic review and meta-analysis of adjusted effect sizes from studies using current diagnostic criteria

OBJECTIVES

To quantify the association between Gestational Diabetes Mellitus (GDM) and adverse pregnancy outcomes and primarily compare the associations between diagnostic criteria following the International Association of Diabetes and Pregnancy Study Groups (IADPSG) recommendations and non-IADPSG criteria, which use higher blood glucose cut-offs.

DESIGN

Systematic review and meta-analysis of observational studies using contemporary GDM diagnostic criteria.

DATA SOURCES

PubMed, Scopus, Google Scholar, Cochrane Database of Systematic Reviews and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched for articles published between 2010 and 2023. The search was carried out on 15 May 2023.

ELIGIBILITY CRITERIA

Studies were included if they were observational studies that reported adjusted effect sizes for GDM-related adverse outcomes and compared outcomes between women with and without GDM, used contemporary diagnostic criteria and were conducted after 2010.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data and assessed study quality using the MethodologicAl STandards for Epidemiological Research (MASTER) scale. Bias-adjusted inverse variance heterogeneity meta-analysis models were used to synthesise adjusted effect sizes. The same meta-analytic models were used to synthesise the overall OR and their 95% CIs for comparisons of the criteria which followed the IADPSG recommendations to other criteria, mostly with higher blood glucose cut-offs (non-IADPSG).

RESULTS

We included 30 studies involving 642 355 participants. GDM was associated with higher odds of maternal outcomes, namely; caesarean section (adjusted OR (aOR) 1.24, 95% CI 1.01 to 1.51) and pregnancy-induced hypertension (aOR 1.55, 95% CI 1.03 to 2.34). GDM was associated with higher odds of neonatal outcomes, specifically; macrosomia (aOR 1.38, 95% CI 1.13 to 1.69), large for gestational age (aOR 1.42, 95% CI 1.23 to 1.63), preterm birth (aOR 1.41, 95% CI 1.21 to 1.64), neonatal intensive care unit admission (aOR 1.42, 95% CI 1.12 to 1.78), neonatal hypoglycaemia (aOR 3.08, 95% CI 1.80 to 5.26) and jaundice (aOR 1.47, 95% CI 1.12 to 1.91). Further analyses showed no major differences in adverse pregnancy outcomes between IADPSG and non-IADPSG criteria.

CONCLUSIONS

GDM is consistently associated with adverse pregnancy, maternal and foetal outcomes, regardless of the diagnostic criteria used. These findings suggest no significant difference in risk between lower and higher blood glucose cut-offs used in GDM diagnosis.

Insights into Reproductive Immunology and Placental Pathology

The formation of a daughter organism as a result of the fusion of an egg and a sperm cell, followed by the implantation of the embryo, the formation of the placenta, and the further growth of the embryo and then fetus until delivery, poses particular challenges for the immune system [...].