Maternal gestational diabetes and childhood obesity at age 9-11: results of a multinational study

The Accumulative Effect of Multiple Postnatal Risk Factors with the Risk of Being Overweight/Obese in Late Childhood

Most past studies focused on the associations of prenatal risk factors with the risks of childhood overweight/obesity. Instead, more postnatal risk factors are modifiable, with less knowledge of their cumulative effects on childhood obesity. We analyzed data of 1869 children in an Australian birth cohort. Key postnatal risk factors included: maternal and paternal overweight/obesity during the child's infancy, tobacco exposure, low family socioeconomic score, breastfeeding duration < 6 months, early introduction of solid foods, and rapid weight gain during infancy. The risk score was the sum of the number of risk factors. The primary outcome is overweight/obesity in late childhood (11-12 years); secondary outcomes are high-fat mass index (FMI), body fat percentage (BF%), and waist-to-height ratio (WHtR). Poisson regression models were used in the analyses. Children with higher risk scores had higher risks of overweight/obesity (p-for-trends < 0.001). After adjusting covariates, compared with those with 0-1 risk factors, children with 4-6 risk factors had 4.30 (95% confidence interval: 2.98, 6.21) times higher risk of being overweight/obesity; the relative risks for high FMI, BF%, and WHtR were 7.31 (3.97, 13.45), 4.41 (3.00, 6.50), and 6.52 (3.33, 12.74), respectively. Our findings highlighted that multiple postnatal risk factors were associated with increased risks of being overweight/obesity in late childhood.

Glucose metabolism in gestational diabetes and their relationship with fat mass / muscle mass index

Introduction

During pregnancy, women experience metabolic changes that may induce insulin resistance, which can be traced to the blood glucose levels A number of factors may intervene in the metabolism of glucose in pregnant women; one of them is body composition. This factor is useful for studying metabolic diseases, for which the identification of the fat mass/muscle mass index (FMMMI) considered an especially relevant factor. Owing to their nature, techniques such as bioimpedance have been sparsely used for analysis during pregnancy.

Aim

This study aimed to identify the relationship between fat mass / muscle mass index and glucose metabolism in pregnant women.

Methods

This descriptive cross-sectional study included 231 women between the ages of 18 and 35 years and 24-28 weeks of gestation, who attended a state hospital for regular check-ups and exhibited risk factors for the development of gestational diabetes (GD) according to the Current Practice Guidelines in Primary Care. The participants underwent a physical examination, anthropometric measurements bio impedance were obtained, and oral glucose tolerance curves were constructed. FMMMI was calculated.

Results

The prevalence of gestational diabetes was observed to be 13.4%. Women with a GD diagnosis had a significantly higher FMMMI than in those with no GD (0.746 ± 0.168 vs 0.567 ± 0.167;p < 0.005). The assessment of the FMMMI tertiles revealed that GD prevalence was higher in tertile 3 than in tertiles 1 and 2 (tertile 1: 2.6%; tertile 2: 9.1%; tertile 3: 24%).

Conclusion

FMMMI is associated with glucose tolerance test response in pregnant women and a higher prevalence of GD.

Maternal gestational diabetes and childhood adiposity risk from 6 to 8 years of age

BACKGROUND/OBJECTIVE

Previous studies found conflicting results on the association between maternal gestational diabetes mellitus (GDM) and childhood overweight/obesity. This study was to assess the association between maternal GDM and offspring's adiposity risk from 6 to 8 years of age.

METHODS

The present study longitudinally followed 1156 mother-child pairs (578 GDM and 578 non-GDM) at 5.9 ± 1.2 years postpartum and retained 912 mother-child pairs (486 GDM and 426 non-GDM) at 8.3 ± 1.6 years postpartum. Childhood body mass index (BMI), waist circumference, body fat and skinfold were measured using standardized methods.

RESULTS

Compared with the counterparts born to mothers with normal glucose during pregnancy, children born to mothers with GDM during pregnancy had higher mean values of adiposity indicators (waist circumference, body fat, subscapular skinfold and suprailiac skinfold) at 5.9 and 8.3 years of age. There was a positive association of maternal GDM with changes of childhood adiposity indicators from the 5.9-year to 8.3-year visit, and β values were significantly larger than zero: +0.10 (95% CI: 0.02-0.18) for z score of BMI for age, +1.46 (95% CI: 0.70-2.22) cm for waist circumference, +1.78% (95% CI: 1.16%-2.40%) for body fat, +2.40 (95% CI: 1.78-3.01) mm for triceps skinfold, +1.59 (95% CI: 1.10-2.09) mm for subscapular skinfold, and +2.03 (95% CI: 1.35-2.71) mm for suprailiac skinfold, respectively. Maternal GDM was associated with higher risks of childhood overweight/obesity, central obesity, and high body fat (Odd ratios 1.41-1.57 at 5.9 years of age and 1.73-2.03 at 8.3 years of age) compared with the children of mothers without GDM.

CONCLUSIONS

Maternal GDM was a risk factor of childhood overweight/obesity at both 5.9 and 8.3 years of age, which was independent from several important confounders including maternal pre-pregnancy BMI, gestational weight gain, children's birth weight and lifestyle factors. This significant and positive association became stronger with age.

The association between gestational weight trajectories in women with gestational diabetes and their offspring's weight from birth to 40 months

AIMS

To identify the gestational weight gain (GWG) patterns in women with gestational diabetes mellitus (GDM) and evaluate their association with offspring weight status from birth to 40 months.

MATERIALS AND METHODS

This study included 2,723 GDM-mother-child pairs from the Beijing Birth Cohort Study. The association between GWG trajectories identified by the latent class model and offspring weight outcomes from birth to 40 months were evaluated, after adjustment for maternal age, parity, pre-pregnancy body mass index, maternal height, and blood glucose levels.

RESULTS

Three GWG rate groups, including the non-excessive GWG group (1,994/2,732), excessive GWG group (598 /2,732), and excessive early GWG group (140/2,732), were identified in women with GDM, respectively. Compared to the non-excessive GWG group, the adjusted OR (aOR) and 95% CI were 1.83 (1.35-2.47) and 1.79 (1.06-3.01) for macrosomia, 1.33 (1.07-1.66) and 1.48 (1.01-2.17) for large for gestational age (LGA) in the excessive GWG group and excessive early GWG group. Excessive GWG was also associated with an increased risk of BMI-for-age at 40 months (aOR = 1.66, 95% CI 1.14-2.42).

CONCLUSIONS

Both excessive GWG and excessive early GWG increased the risk of macrosomia and LGA in women with GDM, but only the excessive GWG was associated with childhood overweight/obesity. The results suggest the long-term impact of GWG on offspring weight status in women with GDM and the potential benefits of GWG restriction after GDM diagnosis.

PsyNBIOsis: Investigating the Association between Maternal Gestational Diabetes, Mental Health, Diet and Childhood Obesity Risk: Protocol for a Prospective, Longitudinal, Observational Study

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with poorer maternal mental health (depression and anxiety). Maternal mental health and GDM are likely to influence diet, which in turn impacts the course of GDM. Maternal diet may also be directly or indirectly associated with changes in infant anthropometry. The aims of this study are to (1) examine the associations between maternal GDM, mental health and diet, and (2) evaluate the associations between these maternal factors, breastmilk composition and infant anthropometry.

METHODS

This prospective, observational, longitudinal cohort study compares a cohort of women with and without GDM. Maternal mental health and diet are assessed using validated questionnaires. Breastmilk composition is measured with the Human Milk Analyzer, and infant body composition is measured with air displacement plethysmography.

SIGNIFICANCE AND IMPACT

Once data have been collected, PsyNBIOsis will provide evidence for the associations between maternal mental health, GDM status and diet, and their impact on breastmilk composition and early infant growth. The results may inform the Developmental Origins of Health and Disease framework and provide data on which to build cost-effective interventions to prevent both the development of mental health issues in mothers and adverse growth patterns in infants.

Progression From Gestational Diabetes Mellitus to Type 2 Diabetes Mellitus Among First Nations Women in Northwest Ontario: A Retrospective Cohort Study

OBJECTIVE

Our aim in this study was to identify the incidence of type 2 diabetes mellitus among First Nations women in northwest Ontario with a history of gestational diabetes mellitus (GDM).

METHODS

This work was a retrospective cohort study of women diagnosed with GDM using a 50-gram oral glucose challenge test or a 75-gram oral glucose tolerance test from January 1, 2010, to December 31, 2017, at the Sioux Lookout Meno Ya Win Health Centre. Outcomes were assessed based on glycated hemoglobin (A1C) measurements performed between January 1, 2010, and December 31, 2019.

RESULTS

The cumulative incidence of T2DM among women with a history of GDM was 18% (42 of 237) at 2 years and 39% (76 of 194) at 6 years. Women with GDM who developed T2DM were of similar age and parity and had equivalent C-section rates (26%) compared to those who did not develop T2DM. They had higher birth weights (3,866 grams vs 3,600 grams, p=0.006) and rates of treatment with insulin (24% vs 5%, p<0.001) and metformin (16% vs 5%, p=0.005).

CONCLUSIONS

GDM confers a significant risk for the development of T2DM in First Nations women. Broad community-based resources, food security, and social programming are required.

The Maternal Microbiome and Gestational Diabetes Mellitus: Cause and Effect

Gestational diabetes mellitus (GDM) is a growing public health concern that affects many pregnancies globally. The condition is associated with adverse maternal and neonatal outcomes including gestational hypertension, preeclampsia, placental abruption, preterm birth, stillbirth, and fetal growth restriction. In the long-term, mothers and children have an increased risk of developing metabolic diseases such as type 2 diabetes and cardiovascular disease. Accumulating evidence suggest that alterations in the maternal microbiome may play a role in the pathogenesis of GDM and adverse pregnancy outcomes. This review describes changes in the maternal microbiome during the physiological adaptations of pregnancy, GDM and adverse maternal and neonatal outcomes. Findings from this review highlight the importance of understanding the link between the maternal microbiome and GDM. Furthermore, new therapeutic approaches to prevent or better manage GDM are discussed. Further research and clinical trials are necessary to fully realize the therapeutic potential of the maternal microbiome and translate these findings into clinical practice.

Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0-5 years old: a preliminary longitudinal study

To explore the application value of early standardized management in the delivery of neonates of pregnant women with gestational diabetes mellitus (GDM). Parturient diagnosed with GDM and their offspring were selected in our hospital from January 1, 2015 to December 31, 2017 to underwent early standardized management. Non-GDM pregnant women and their offspring were selected as the control group. The growth and development of children aged 0-5 years in the two groups were longitudinally followed up, and the mixed linear model was used to evaluate and compare the growth trajectories. There was no significant difference in height and weight between the two groups at 1 year old (P > 0.05), but the BMI of the GDM group was significantly higher than that in the control group. After 1 year of age, both groups of offspring were similar in height, weight, and BMI, and these similarities persisted at 2, 3, 4, and 5 years of age. After controlling for covariates, the weight, length/height of the two groups of children were slightly different in the growth trajectories between 0-1 years old, 1-2 years old, 2-3 years old, 3-4 years old, and 4-5 years old with no statistical significance (P > 0.05). Although growth differences between the two groups of children were detected within 1 year of age, there were no significant differences in growth trajectories from 1 to 5 years between two groups, which proved that early standardized management has positive significance.

Association of Gestational Diabetes With the Dynamic Changes of Gut Microbiota in Offspring From 1 to 6 Months of Age

AIMS

The present study aimed to prospectively evaluate the influence of gestational diabetes mellitus (GDM) on the gut microbiota in 1- and 6-month-old offspring, as well as the dynamic changes from 1 to 6 months of age.

METHODS

Seventy-three mother-infant dyads (34 GDM vs 39 non-GDM) were included in this longitudinal study. Two fecal samples were collected for each included infant at home by the parents at 1 month of age ("M1 phase") and again at 6 months of age ("M6 phase"). Gut microbiota were profiled by 16S rRNA gene sequencing.

RESULTS

Although no significant differences were observed in diversity and composition between GDM and non-GDM groups in the M1 phase, we observed differential structures and composition in the M6 phase between the 2 groups (P < .05), with lower levels of diversity, 6 depleted and 10 enriched gut microbes among infants born to GDM mothers. The dynamic changes in alpha diversity from the M1 to M6 phase were also significantly different according to GDM status (P < .05). Moreover, we found that the altered gut bacteria in the GDM group were correlated with infants' growth.

CONCLUSION

Maternal GDM was associated not only with the community structure and composition in the gut microbiota of offspring at a specific time point, but also with the differential changes from birth to infancy. Altered colonization of the GDM infants' gut microbiota might affect their growth. Our findings underscore the critical impact of GDM on the formation of early-life gut microbiota and on the growth and development of infants.

Maternal microbiota and gestational diabetes: impact on infant health

Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has been associated with an increased risk of obesity and diabetes in the offspring. Pregnancy is accompanied by tightly regulated changes in the endocrine, metabolic, immune, and microbial systems, and deviations from these changes can alter the mother's metabolism resulting in adverse pregnancy outcomes and a negative impact on the health of her infant. Maternal microbiomes are significant drivers of mother and child health outcomes, and many microbial metabolites are likely to influence the host health. This review discusses the current understanding of how the microbiota and microbial metabolites may contribute to the development of GDM and how GDM-associated changes in the maternal microbiome can affect infant's health. We also describe microbiota-based interventions that aim to improve metabolic health and outline future directions for precision medicine research in this emerging field.

Long-term outcomes and potential mechanisms of offspring exposed to intrauterine hyperglycemia

Diabetes mellitus during pregnancy, which can be classified into pregestational diabetes and gestational diabetes, has become much more prevalent worldwide. Maternal diabetes fosters an intrauterine abnormal environment for fetus, which not only influences pregnancy outcomes, but also leads to fetal anomaly and development of diseases in later life, such as metabolic and cardiovascular diseases, neuropsychiatric outcomes, reproduction malformation, and immune dysfunction. The underlying mechanisms are comprehensive and ambiguous, which mainly focus on microbiota, inflammation, reactive oxygen species, cell viability, and epigenetics. This review concluded with the influence of intrauterine hyperglycemia on fetal structure development and organ function on later life and outlined potential mechanisms that underpin the development of diseases in adulthood. Maternal diabetes leaves an effect that continues generations after generations through gametes, thus more attention should be paid to the prevention and treatment of diabetes to rescue the pathological attacks of maternal diabetes from the offspring.

Parental prepregnancy obesity and offspring overweight before two years of age among Chinese women with gestational diabetes

AIMS

To examine the associations of parental obesity prior to pregnancy with offspring overweight before two years of age among children of Chinese women with gestational diabetes mellitus (GDM).

METHODS

Offspring of women with GDM (n = 774) who were diagnosed in 2010-2012 were followed up to two years of age in Tianjin, China. Multinomial logistic regression was used to obtain odds ratios (ORs) and 95% confidence interval (CI) of maternal and paternal prepregnancy obesity with offspring overweight at < 1, 1-1.5, and 1.5-2 years of age.

RESULTS

Among 774 offspring of women with GDM, 457 (59.0%) of the offspring developed overweight before two years of age. Maternal prepregnancy obesity was associated with increased risk of offspring overweight at 1-1.5 years of age and 1.5-2 years of age (ORs: 1.98, 95%CI: 1.09-3.59 & 2.14, 1.10-4.15, respectively). Paternal prepregnancy obesity was only associated with elevated risk of offspring overweight at 1.5-2 years of age (1.82, 1.08-3.06). Furthermore, copresence of both maternal and paternal obesity prior to pregnancy had an additive effect on the risk of offspring overweight at 1.5-2 years of age (3.73, 1.50-9.27).

CONCLUSIONS

Parental prepregnancy obesity predicted offspring overweight before two years of age among children of Chinese women with GDM.

Vitamin D Status of Infants of Mothers with Gestational Diabetes: Status at Birth and a Randomized Controlled Trial of Vitamin D Supplementation across Infancy

BACKGROUND

Vitamin D status and requirements of infants of women with gestational diabetes mellitus (GDM) are unclear.

OBJECTIVES

The objectives were to assess vitamin D status in infants of mothers with GDM and compare vitamin D status in response to 400 vs. 1000 IU/d vitamin D supplementation in infants born with serum 25-hydroxyvitamin D [25(OH)D] <50 nmol/L.

METHODS

Women with GDM delivering full-term infants (n = 98; March 2017-2019, Montreal, Canada) were surveyed for demographic and lifestyle factors. Pregnancy history was obtained from medical records. Newborn serum 25(OH)D was measured (immunoassay) and categorized as <30 (deficient) or ≥40 nmol/L (adequate). Breastfed neonates (n = 16) with serum 25(OH)D <50 nmol/L at birth were randomly assigned to 400 or 1000 IU/d of supplemental cholecalciferol (vitamin D3), and serum 25(OH)D was measured at baseline (≤1 mo) and 3, 6, and 12 mo of age. Groups were compared using a linear mixed-effects model and Tukey-Kramer post hoc tests.

RESULTS

Mean newborn serum 25(OH)D was 46.4 (95% CI: 43.9, 49.9) nmol/L, with 15.3% (95% CI: 8.2%, 22.4%) <30 nmol/L and 61.2% (95% CI: 51.6%, 70.9%) ≥40 nmol/L. During the trial, most infants were breastfed to 3 mo (400 IU/d: 87.5%; 1000 IU/d: 75.0%). Mean (± SEM) infant serum 25(OH)D was higher in the 1000-IU/d group at 3 mo (79.9 ± 5.9 vs. 111.5 ± 15.2 nmol/L; P = 0.0263), and although not different at 6-12 mo, was maintained at >50 nmol/L.

CONCLUSIONS

Most infants of women with GDM had adequate vitamin D status in this study. In those born with serum 25(OH)D <50 nmol/L, vitamin D status was corrected by 3 mo of age in response to 400 or 1000 IU/d of supplemental vitamin D. Dietary guidance should continue to recommend that all women who could become pregnant take a multivitamin supplement and that breastfed infants receive 400 IU/d of supplemental vitamin D. This study and ancillary trial were registered at clinicaltrials.gov (https://www.

CLINICALTRIALS

gov/ct2/show/NCT02563015) as NCT02563015.

Maternal and fetal factors affecting cord plasma leptin and adiponectin levels and their ratio in preterm and term newborns: New insight on fetal origins of metabolic dysfunction

Background

Understanding of maternal and fetal factors affecting leptin, adiponectin and adiponectin: leptin ratio at birth, may provide valuable insights into potential future risk of metabolic alterations and inform primordial prevention and precision nutrition strategies.

Objective

To identify maternal and fetal risk factors that affect leptin and adiponectin levels (markers of adiposity) and adiponectin/leptin ratio (a marker of dysfunctional adipose tissue) at birth.

Methods

We studied mother-infant pairs in the Boston Birth Cohort. Cord blood was collected at birth. We used student t-tests to compare log normalized cord leptin and adiponectin levels. Regression analysis were performed to examine the association of maternal and fetal factors with leptin and adiponectin levels and adiponectin: leptin ratio at birth in both term and preterm infants.

Results

We analyzed 1012 infants (245 preterm). Both cord leptin and adiponectin were higher in term infants than preterm infants (10.2 ± 0.9 vs. 9.2 ± 1.3, p < 0.0001 and 9.5 ± 0.7 vs. 8.9 ± 0.8, p < 0.0001 respectively). Cord leptin was higher for Black infants (10.1 ± 1.1 vs. 9.9 ± 1.2; p < 0.001) although Black (ref: non Black) infants had lower cord adiponectin levels (9.3 ± 0.8 vs. 9.5 ± 0.7; p = 0.01). Ratio of adiponectin to leptin (log normalized) was higher in preterm infants (-0.24) vs. term infants (-0.69). On regression analysis cord leptin was positively associated with longer gestational age, birth weight z score, Black race, maternal overweight and obesity, gestational diabetes and pregestational diabetes mellitus and negatively associated with male sex. Cord adiponectin was positively associated with gestational age, birth weight z score and negatively with Black race and male sex. Adiponectin: leptin ratio was positively with male sex and negatively with GA, birth wt. z score, Black race, gestational DM, pregestational DM and maternal overweight and obesity.

Conclusion

We identified several factors that affect leptin and adiponectin levels along with adiponectin-leptin ratio at birth beyond GA and birth weight which could also play an important role in influencing the trajectory of these hormones and future cardio metabolic outcomes. This knowledge can help tailor precision nutrition interventions.

Role of the Gut Microbiota in the Increased Infant Body Mass Index Induced by Gestational Diabetes Mellitus

The connection between gestational diabetes mellitus (GDM) and the offspring's development, such as obesity, is well established. Emerging evidence indicates that the microbiota of the neonate's meconium is associated with maternal GDM status. To explore whether the association between GDM and infant body mass index (BMI) in early childhood is affected by the meconium microbiota, we recruited 120 mothers (60 healthy women and 60 with GDM) and their newborns from the Women's Hospital of Nanjing Medical University. Meconium of 120 neonates was collected within a few hours after birth and sequenced using 16S rRNA sequencing analysis. Children's BMI was measured at 12 months of age. The results revealed that infants born to mothers with GDM had increased BMI Z-scores at 12 months old and that the β-diversity of their meconium microbiota was reduced. Several genera were observed to be significantly different between the GDM and control groups. The genus Burkholderia-Caballeronia-Paraburkholderia and an untitled genus in the family Enterobacteriaceae enriched in neonates born to healthy mothers were found to be negatively associated with infant BMI by using regression analysis. A coabundance group depleted in the GDM group was correlated negatively with 12-month BMI and mediated 21.65% of the association between GDM and infant BMI by mediation analyses. This study provided evidence for the associations among maternal GDM, the meconium microbiota, and infant BMI. Maternal GDM was demonstrated to affect infant BMI, mediated by the gut microbiome. Gut microbiome interventions might represent a novel technique to decrease the risk of GDM-induced childhood obesity. IMPORTANCE Using 16S rRNA sequencing analysis, regression analysis and mediation analysis were used to explore whether maternal gestational diabetes mellitus (GDM) changed the function and composition of the meconium microbiota and whether this explained the GDM-induced alterations of infant body mass index (BMI). This study showed that gut microbiome dysbiosis induced by maternal GDM might play an important role in the increased infant BMI during the first 12 months of life. Therefore, gut microbiome interventions might represent a novel technique to decrease the risk of GDM-induced childhood obesity.

Comparison of the key modifiable factors in the first 1000 days predicting subsequent overweight and obesity in pre-school children in Tehran: a case-control study

The identification of paediatric obesity predictors in the early stages of life is warranted, as it can influence the development of effective strategies to prevent metabolic disorders. In this case-control study, we assessed nine risk factors for paediatric obesity, namely a birth weight > 4000 g, an exclusive breast-feeding period < 4 months, the introduction of solid food at < 4 months, maternal overweight or obesity before pregnancy, maternal smoking during pregnancy, the presence of gestational diabetes, paternal overweight and obesity and paternal smoking. In order to identify the most relevant predictors of paediatric obesity, we employed a multiple logistic regression model with R2 Cox Snell by adjusting confounders. In the randomly selected 509 preschool children from Tehran, children exposed to gestational diabetes had the maximum predicted probability of obesity (4·36 (1·94, 9·80) %) among the analysed risk factors %. The introduction of solid food at < 4 months of age increased the risk of obesity by 2·98 (1·77, 4·97 %). The OR of childhood obesity was associated with maternal overweight and obesity (2·72(1·60-4·60) %), maternal smoking (2·21 (1·18, 4·11) %) and excessive gestational weight gain (1·89 (1·23, 2·91) %). Paternal smoking and high birth weight increased the risk of paediatrics obesity > 1·8 times (1·15-2·94) and > 1·5 times (1·015-2·43), respectively. There was no association between the paternal BMI, the exclusive breast-feeding time and the risk of paediatric obesity. Among early risk factors, probably gestational diabetes can be considered as the most important predictor for the risk of paediatric obesity.

Maternal and fetal factors affecting cord plasma leptin and adiponectin levels and their ratio in preterm and term newborns: New insight on fetal origins of metabolic dysfunction

Background

Understanding of maternal and fetal factors affecting leptin, adiponectin, and adiponectin:leptin ratio at birth may provide valuable insights into potential future risk of metabolic alterations and inform primordial prevention and precision nutrition strategies. The objective of this study is to identify maternal and fetal risk factors that affect leptin and adiponectin levels (markers of adiposity) and adiponectin/leptin ratio (a marker of dysfunctional adipose tissue) at birth.

Methods

We studied mother-infant pairs in the Boston Birth Cohort. Cord blood was collected at birth. We used student t- tests to compare log normalized cord leptin and adiponectin levels. Regression analysis was performed to examine the association of maternal and fetal factors with leptin and adiponectin levels and adiponectin:leptin ratio at birth in both term and preterm infants.

Results

We analyzed 1012 infants (245 preterm). Both cord leptin and adiponectin were higher in term infants than preterm infants (10.2 ± 0.9 vs. 9.2 ± 1.3, P < 0.0001 and 9.5 ± 0.7 vs. 8.9 ± 0.8, P < 0.0001, respectively). Cord leptin was higher for Black infants (10.1 ± 1.1 vs. 9.9 ± 1.2; P < 0.001) although Black (ref: non-Black) infants had lower cord adiponectin levels (9.3 ± 0.8 vs. 9.5 ± 0.7; P = 0.01). Ratio of adiponectin to leptin (log normalized) was higher in preterm infants (-0.24) vs. term infants (-0.69). On regression analysis, cord leptin was positively associated with longer gestational age (GA), birth weight z score, Black race, maternal overweight and obesity, gestational diabetes and pregestational diabetes mellitus and negatively associated with male sex. Cord adiponectin was positively associated with GA, birth weight z score and negatively with Black race and male sex. Adiponectin:leptin ratio was positively with male sex and negatively with GA, birth weight z score, Black race, gestational DM, pregestational DM and maternal overweight and obesity.

Conclusions

We identified several factors that affect leptin and adiponectin levels along with adiponectin-leptin ratio at birth beyond GA and birth weight which could also play an important role in influencing the trajectory of these hormones and future cardiometabolic outcomes. This knowledge can help tailor precision nutrition interventions.

Prospective Associations Between Maternal Depression and Infant Sleep in Women With Gestational Diabetes Mellitus

Background

Women with gestational diabetes mellitus have higher rates of perinatal depressive symptoms, compared to healthy pregnant women. In the general population, maternal depressive symptoms have been associated with infant sleep difficulties during the first year postpartum. However, there is lack of data on infants of mothers with gestational diabetes mellitus.

Methods

This study assessed the prospective associations between maternal perinatal depressive symptoms and infant sleep outcomes. The study population consisted of 95 Swiss women with gestational diabetes mellitus and their infants, enrolled in the control group of the MySweetheart trial (NCT02890693). Perinatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale at the first gestational diabetes mellitus visit during pregnancy, at 6–8 weeks postpartum, and 1 year postpartum. The Brief Infant Sleep Questionnaire was used to assess infant sleep (i.e., nocturnal sleep duration, number of night waking, and maternal perception of infant sleep) at 1 year postpartum. Relevant maternal and infant measurements (e.g., infant sex or maternal age or social support) were collected or extracted from medical records as covariates.

Results

Antenatal maternal depressive symptoms at the first gestational diabetes mellitus visit were inversely associated with infant nocturnal sleep duration at 1 year postpartum (β = –5.9, p = 0.046). This association became marginally significant when covariates were added (β = –5.3, p = 0.057). Maternal depressive symptoms at 6–8 weeks postpartum were negatively and prospectively associated with infant nocturnal sleep duration (β = –9.35, p = 0.016), even when controlling for covariates (β = –7.32, p = 0.042). The association between maternal depressive symptoms and maternal perception of infant sleep as not a problem at all was significant at 1 year postpartum (β = –0.05, p = 0.006), although it became non-significant when controlling for appropriate covariates. No other significant associations were found.

Limitations

This study solely included measures derived from self-report validated questionnaires.

Conclusion

Our findings suggest it is of utmost importance to support women with gestational diabetes mellitus as a means to reduce the detrimental impact of maternal perinatal depressive symptoms on infant sleep, given its predictive role on infant metabolic health.

Pathophysiological Role of Genetic Factors Associated With Gestational Diabetes Mellitus

Gestational Diabetes Mellitus (GDM) is a highly prevalent maternal pathology characterized by maternal glucose intolerance during pregnancy that is, associated with severe complications for both mother and offspring. Several risk factors have been related to GDM; one of the most important among them is genetic predisposition. Numerous single nucleotide polymorphisms (SNPs) in genes that act at different levels on various tissues, could cause changes in the expression levels and activity of proteins, which result in glucose and insulin metabolism dysfunction. In this review, we describe various SNPs; which according to literature, increase the risk of developing GDM. These SNPs include: (1) those associated with transcription factors that regulate insulin production and excretion, such as rs7903146 (TCF7L2) and rs5015480 (HHEX); (2) others that cause a decrease in protective hormones against insulin resistance such as rs2241766 (ADIPOQ) and rs6257 (SHBG); (3) SNPs that cause modifications in membrane proteins, generating dysfunction in insulin signaling or cell transport in the case of rs5443 (GNB3) and rs2237892 (KCNQ1); (4) those associated with enzymes such as rs225014 (DIO2) and rs9939609 (FTO) which cause an impaired metabolism, resulting in an insulin resistance state; and (5) other polymorphisms, those are associated with growth factors such as rs2146323 (VEGFA) and rs755622 (MIF) which could cause changes in the expression levels of these proteins, producing endothelial dysfunction and an increase of pro-inflammatory cytokines, characteristic on GDM. While the pathophysiological mechanism is unclear, this review describes various potential effects of these polymorphisms on the predisposition to develop GDM.

Risks of overweight in the offspring of women with gestational diabetes at different developmental stages: A meta-analysis with more than half a million offspring

We conducted a meta-analysis to evaluate the association of maternal gestational diabetes mellitus (GDM) and offspring overweight from birth to adulthood, and to assess the effects of lifestyle interventions in women with GDM on this risk of offspring overweight. We identified literature from PubMed and 12 other electronic databases and retrieved relevant literature published before October 20, 2020. Random-effects model analysis was used to calculate relative risks (RRs) of overweight and weighted mean differences of body mass index among children stratified into different developmental stages. Forty-nine cohort studies (n = 559,377) and four randomized controlled trials (n = 1277) were included. We found that offspring of women with GDM were at an increased risk for overweight with age, from 1.14 (95% confidence interval [CI]: 1.06-1.22) under 5 years, 1.37 (95% CI: 1.31-1.44) at 5 to <10 years, 2.00 (95% CI: 1.79-2.23) at 10 to <18 years, to 2.05 (95% CI: 1.65-2.55) over 18 years of age (p < 0.05 for differences among groups). However, it was not observed that lifestyle interventions for GDM decreased the elevated overweight risk (RR: 0.94, 95% CI: 0.80-1.11, I²  = 0.0%). These findings highlight the need for adopting an active and healthy lifestyle in this high-risk group.

Metabolomic profiles and microbiota of GDM offspring: The key for future perspective?

Gestational diabetes mellitus (GDM), or any degree of glucose intolerance recognized for the first time during pregnancy, is one of the diseases that most frequently aggravates the course of gestation. Missed or late diagnosis and inadequate treatment are associated with high maternal and fetal morbidity, with possible short- and long-term repercussions. Estimates on the prevalence of GDM are alarming and increasing by about 30% in the last 10-20 years. In addition, there is the negative influence of the SARS-CoV-2 emergency on the glycemic control of pregnant women, making the matter increasingly topical. To date, knowledge on the metabolic maturation of newborns is still incomplete. However, in light of the considerable progress of the theory of "developmental origins of health and disease," the relevant role of the intrauterine environment cannot be overlooked. In fact, due to the high plasticity of the early stages of development, some detrimental metabolic alterations during fetal growth, including maternal hyperglycemia, are associated with a higher incidence of chronic diseases in adult life. In this context, metabolomic analysis which allows to obtain a detailed phenotypic portrait through the dynamic detection of all metabolites in cells, tissues and different biological fluids could be very useful for the early diagnosis and prevention of complications. Indeed, if the diagnostic timing is optimized through the identification of specific metabolites, the detailed understanding of the altered metabolic pathway could also allow better management and more careful monitoring, also from a nutritional profile, of the more fragile children. In this context, a further contribution derives from the analysis of the intestinal microbiota, the main responsible for the fecal metabolome, given its alteration in pregnancies complicated by GDM and the possibility of transmission to offspring. The purpose of this review is to analyze the available data regarding the alterations in the metabolomic profile and microbiota of the offspring of mothers with GDM in order to highlight future prospects for reducing GDM-related complications in children of mothers affected by this disorder.

Association of maternal triglyceride responses to thyroid function in early pregnancy with gestational diabetes mellitus

INTRODUCTION

The prevalence of Gestational Diabetes Mellitus (GDM) is increasing globally, and high levels of triglyceride (TG) and low levels of free thyroxine (FT4) in early pregnancy are associated with an increased risk of GDM; however, the interaction and mediation effects remain unknown. The aim of the present study is to examine the impact of FT4 and TG combined effects on the prevalence of GDM and the corresponding casual paths among women in early pregnancy.

MATERIALS AND METHODS

This study comprised 40,156 pregnant women for whom early pregnancy thyroid hormones, fasting blood glucose as well as triglyceride were available. GDM was diagnosed using a 2-hour 75-g oral glucose tolerance test (OGTT) according to the American Diabetes Association guidelines, and the pregnant women were grouped and compared according to the results.

RESULTS

An L-shaped association between FT4 and GDM was observed. The prevalence of GDM increased with increasing TG levels. After accounting for multiple covariables, the highest risk for GDM was found among pregnant women of lower FT4 with the highest TG concentrations (odds ratio, 2.44, 95% CI, 2.14 to 2.80; P<0.001) compared with mothers of higher FT4 with the TG levels in the lowest quartile (Q1). There was a significant interaction effect of maternal FT4 and TG levels on the risk for GDM (P for interaction = 0.036). The estimated proportion of the mediating effect of maternal TG levels was 21.3% (95% CI, 15.6% to 36.0%; P < 0.001). In the sensitivity analysis, the mediating effect of TG levels was stable across subgroups.

CONCLUSION

This study demonstrated an L-shaped association between maternal FT4 levels and GDM and the benefit of low TG levels, in which maternal TG levels act as an important mediator in this association. Our findings suggested that pregnant women who treat hypothyroidism should also reduce triglycerides levels in early pregnancy to prevent GDM development.

The interactive effects of non-alcoholic fatty liver disease and hemoglobin concentration in the first trimester on the development of gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is associated with adverse perinatal and maternal outcomes. Epidemiological studies have reported that non-alcoholic fatty liver disease (NAFLD) and a high hemoglobin (Hb) concentration are risk factors for GDM in the middle trimester. However, no consistent conclusions have been reached, especially in Chinese pregnant women. A case-control study was conducted to better understand the associations between NAFLD and Hb concentration in the first trimester and the risk of GDM and their interactive effects. Multivariable logistic regression analysis and a cross-product term of Hb and steatosis were used to evaluate the associations between first trimester Hb concentration, steatosis, and GDM and their interactive effects. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using two-sided statistical tests at an alpha level of 0.05. For the study, 1,017 normal pregnant women, and 343 pregnant women diagnosed with GDM (25.22%) were recruited from the First Hospital of Shanxi Medical University, Shanxi Province, China. NAFLD-associated steatosis was found to be independent risk factors for developing GDM compared with grade 0 steatosis, with ORs of 1.98 (95% CI: 1.35–2.89) and 2.27 (95% CI:1.29–3.96), respectively. Meanwhile, a high Hb concentration was found to be a risk factor for developing GDM compared with the normal Hb concentration (OR = 1.88; 95% CI:1.24–2.83). The risk of developing GDM was more pronounced among pregnant women who had both high-grade steatosis and higher Hb concentrations during their first trimester (OR = 6.24; 95% CI: 1.81–23.66). However, we found no significant interactions between Hb concentration and steatosis grade. In conclusion, our study confirmed that a high Hb concentration and NAFLD-associated steatosis during the first trimester play important roles in predicting the risk of GDM in Chinese women. Future studies are required to verify the interactive effects between NAFLD-associated steatosis and Hb concentration.

Associations of prenatal metabolomics profiles with early childhood growth trajectories and obesity risk in African Americans: the CANDLE study

OBJECTIVE

Prenatal metabolomics profiles, providing measures of in utero nutritional and environmental exposures, may improve the prediction of childhood outcomes. We aimed to identify prenatal plasma metabolites associated with early childhood body mass index (BMI) trajectories and overweight/obesity risk in offspring.

METHODS

This study included 450 African American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood Study. An untargeted metabolomics analysis was performed on the mothers' plasma samples collected during the second trimester. The children's BMI-z-score trajectories from birth to age 4 [rising-high- (9.8%), moderate- (68.2%), and low-BMI (22.0%)] and overweight/obesity status at age 4 were the main outcomes. The least absolute shrinkage and selection operator (LASSO) was used to select the prenatal metabolites associated with childhood outcomes.

RESULTS

The mothers were 24.5 years old on average at recruitment, 76.4% having education less than 12 years and 80.0% with Medicaid or Medicare. In LASSO, seven and five prenatal metabolites were associated with the BMI-z-score trajectories and overweight/obese at age 4, respectively. These metabolites are mainly from/relevant to the pathways of steroid biosynthesis, amino acid metabolism, vitamin B complex, and xenobiotics metabolism (e.g., caffeine and nicotine). The odds ratios (95% CI) associated with a one SD increase in the prenatal metabolite risk scores (MRSs) constructed from the LASSO-selected metabolites were 2.97 (1.95-4.54) and 2.03 (1.54-2.67) for children being in the rising-high-BMI trajectory group and overweight/obesity at age 4, respectively. The MRSs significantly improved the risk prediction for childhood outcomes beyond traditional prenatal risk factors. The increase (95% CI) in the area under the receiver operating characteristic curves were 0.10 (0.03-0.18) and 0.07 (0.02-0.12) for the rising-high-BMI trajectory (P = 0.005) and overweight/obesity at age 4 (P = 0.007), respectively.

CONCLUSIONS

Prenatal metabolomics profiles advanced prediction of early childhood growth trajectories and obesity risk in offspring.

Obesity and adiposity of 3- to 6-year-old children born to mothers with hyperglycaemia first detected in pregnancy in an urban South African setting

BACKGROUND

Understanding the association between maternal metabolic conditions in pregnancy and the risk of childhood overweight, a growing concern in sub-Saharan Africa (SSA), helps to identify opportunities for childhood obesity prevention.

AIM

To assess the association between hyperglycaemia first detected in pregnancy (HFDP) (gestational diabetes mellitus [GDM] and diabetes in pregnancy [DIP]) and child obesity and adiposity in pre-school-aged children in South Africa, independently of maternal BMI.

SUBJECTS AND METHODS

Measurement of anthropometry and fat mass index (FMI) by the deuterium dilution method was done for 102 3-6-year-old children born to mothers with HFDP and 102 HFDP-unexposed children. Hierarchical regression analysis and generalised structural equation modelling (GSEM) were performed.

RESULTS

The prevalence of overweight/obesity was 10.5% and 11.1% in children exposed to GDM and DIP, respectively, and 3.9% in the HFDP-unexposed group. Log-transformed FMI was significantly higher in the DIP-exposed group (β = 0.166, 95% CI = 0.014-0.217 p= .026), but not when adjusting for maternal pregnancy BMI (β = 0.226, 95% CI = 0.003-0.015, p = .004). GSEM showed significant total effects of maternal BMI and birth weight on FMI/BMI.

CONCLUSIONS

Maternal pregnancy BMI seems to play a greater role in the development of childhood adiposity than maternal hyperglycaemia, requiring further research and identifying maternal BMI as a relevant prevention target in our setting.

Gestational diabetes and determinants of adherence to healthy behaviors

BACKGROUND

Previous studies on (GDM) focused on finding new strategies to decrease the incidence of its complications; however, there is insufficient evidence that investigate the influencing factors of adherence to healthy behaviors. This study examined the influencing factors of adherence to healthy behaviors among pregnant women with gestational diabetes (GDM).

METHODS

Descriptive cross-sectional design was used among pregnant women with gestational diabetes. The study participants completed study instruments twice (pre-test & post-test), with a four-weeks gap. The measurement scales included summary of diabetes self-care activities measure (SDSCA), diabetes management self-efficacy scales (DMSES) and open-ended questions to assess barriers and motivators of adherence. The analytical tool was multiple linear regression.

RESULTS

The results from multiple regression indicated that 20.0 % of the total variation in the adherence to healthy behaviors was explained by women's perceived self-efficacy and the overall relationship was significant [F (1, 88) = 23.60, p < .000]. From the demographic variables, only, the gestational age at delivery was found to be a significant predictor of adherence to healthy behaviors (t= -3.1, p< .05), adjusted Rsquare=15.6. Physical limitation and time constraints (40%) were the most reported barriers for adherence. Participants' concern of GDM-related complications (94.4%) and family moral support (52.2%) were the main identified motivators for adherence.

CONCLUSIONS

The importance of assessing determinants, barriers and motivators of adherence to healthy behaviors should be considered before planning any antenatal health promotion interventions designed for women with GDM. The study findings have implications for research, practice, policy advisors and public health. For practice, maternal nurses should consider the identified barriers in this study in any health education intervention and provide solutions and resources to the pregnant women to overcome these barriers. Policy advisors need to take into considerations providing pregnant women with flexible working hours that could encourage them maintaining healthy lifestyle behaviors during the pregnancy period. Researchers interested in GDM should examine in the upcoming studies different self-efficacy enhancing strategies among pregnant women with GDM.

Adiponectin DNA methylation in South African women with gestational diabetes mellitus: Effects of HIV infection

DNA methylation is increasingly recognized as a potential biomarker of metabolic disease. However, there is limited information on the impact of human immunodeficiency virus (HIV) infection on the candidacy of DNA methylation to serve as molecular biomarkers. This study investigated the effect of HIV infection on DNA methylation patterns in the peripheral blood of South African women with (n = 95) or without (n = 191) gestational diabetes mellitus (GDM). DNA methylation levels at eight CpG sites in the adiponectin gene (ADIPOQ) promoter were measured using bisulfite conversion and pyrosequencing. Differences between HIV negative (^-) and positive (⁺) women were observed. In HIV^- women, methylation at CpG -3400 was lower in GDM⁺ women compared to those with normoglycemia (8.5-fold; p = 0.004), and was associated with higher fasting glucose (β-co-efficient = 0.973; p = 0.006) and lower adiponectin (β-co-efficient = -0.057; p = 0.014) concentrations. These associations were not observed in HIV⁺ women. In silico analysis showed that Transcription Factor AP2-alpha is able to bind to the altered CpG site, suggesting that CpG -3400 may play a functional role in the regulation of ADIPOQ expression. Our findings show that DNA methylation differs by HIV status, suggesting that HIV infection needs to be taken into consideration in studies exploring DNA methylation as a biomarker of GDM in high HIV prevalence settings.

Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data

At present, the secondary application of electronic medical records is focused on auxiliary medical diagnosis to improve the accuracy of clinical diagnosis. The main research in this article is the prediction method of gestational diabetes based on electronic medical record data. In the original data, the ID number of the medical examiner did not match the medical examination record. In order to ensure the accuracy of the data, this part of the record was removed. First, the preparation stage before building the model is to determine the baseline accuracy of the original data, test the effectiveness of the machine learning algorithm, and then balance the target data set to solve the bias caused by the imbalance between data classes and the illusion of excessive model prediction results. Then, the disease prediction model is constructed by dividing the data set, selecting parameters and algorithms, and visualizing the model. Finally, the effect of predictive model construction is comprehensively judged based on multiple evaluation indicators and control experimental models. In this paper, the RF model can be used to rank the importance of the feature importance of the output feature on the importance of the classification result of the input feature. In order to test the accuracy of regression prediction, the experiment uses absolute mean error and root mean square error to evaluate the accuracy of fasting blood glucose prediction. A logistic regression model is constructed through the training set, and the test set data are brought into the prediction model for prediction. Experimental data show that when the features filtered by WBFS are used, the accuracy, F1 value, and AUC value of logistic regression are 0.809, 0.881, and 0.825, respectively, which is an increase of about 12% compared with when the feature is not used. The results show that the electronic medical record data drive can effectively improve the accuracy of predicting gestational diabetes.

A Practical Screening Tool to Predict Early Childhood Obesity Risk: Examining a Birth Cohort

Children obese at the age of 5 years are at greater risk of lifelong obesity. Because certain risks of obesity can be identified in early infancy, a tool for obesity risk prediction in early life would be clinically useful. We investigated predictors of obesity risk in a novel, prospectively collected healthy birth cohort recruited for demographic risks to develop iron deficiency at 1 year, a cohort leveraged because risk factors for iron deficiency and obesity overlap. Obesity at the age of 5 years was defined as age- and sex-specific body mass index Z-score (zBMI) >2SD. For each child, obesity risk factors were summed. Of 10 total risk factors, the following 4 key risks were identified: maternal obesity, maternal diabetes, large for gestational age, or breastfeeding <6 months. Childhood obesity was predicted by either ≥3 total number of risks (P < .033), any key risk (P < .002), or summing key risks (P < .0001). In clinical practice, summing early life risk factors may be a useful strategy for preemptive counseling.

Association of gestational diabetes mellitus with offspring weight status across infancy: a prospective birth cohort study in China

Background

The association between gestational diabetes mellitus (GDM) and childhood body weight remains controversial, and additional study is needed, especially in Asian populations.

Methods

This prospective study investigated the association between maternal glucose concentration, and GDM status and infant body weight from birth to 12 months of age. Linear mixed effects (LME) models and multiple linear regression were used to assess the longitudinal association of GDM with infant growth measured by weight-for-length z-scores (WFLZ), weight-for-age z-scores (WFAZ), and length-for-age z-scores (LFAZ) at birth, 1, 3, 6, 8, and 12 months of age.

Results

Offspring born to mothers with GDM had higher WFLZ [β: 0.26 SD units (95% CI: 0.13–0.40)] across infancy than those of mothers without GDM. When stratified analysis by maternal pre-pregnancy body mass index (BMI) status, the association was pronounced in normal-weight [β:0.28 SD units (95% CI: 0.11–0.45)] and overweight/obese women [β: 0.34 SD units (95% CI: 0.09–0.58)] but not in underweight women (P for interaction < 0.05). Multiple linear regression found that the effect estimate of GDM on infant WFLZ was highest at birth [β: 0.36 SD units (95% CI: 0.11–0.61)], remained significant at 1 [β: 0.22 SD units (95% CI: 0.03–0.41)] and 3 [β:0.19 SD units (95% CI: 0.01–0.37)] months of age and decreased across infancy. Maternal GDM status was not associated with infant WFAZ or LFAZ.

Conclusions

Maternal GDM status was associated with infant WFLZ, but not WFAZ or LFAZ. The association between GDM status and offspring WFLZ was more pronounced in early infancy or in normal-weight and overweight/obese women. Increased public health efforts to prevent GDM in normal-weight and overweight/obese pre-pregnancy mothers are recommended to control offspring overweight or obesity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-020-03494-7.

Which healthy lifestyle habits mitigate the risk of obesity and cardiometabolic risk factors in Caucasian children exposed to in utero adverse gestational factors?

BACKGROUND AND AIMS

This study explored if lifestyle habits [physical activity (PA), sleep duration, intake of fruits and vegetables, grains, and dairy products] can moderate the positive associations between prenatal exposure to suboptimal gestational factors (SGF: i.e. gestational diabetes mellitus, hypertensive disorders during pregnancy, maternal smoking during pregnancy) and obesity and cardiometabolic risk factors in children.

METHODS AND RESULTS

Data from the "Quebec Adiposity and Lifestyle Investigation in Youth" (QUALITY) study collected between 2005 - 2008 in Montreal and Quebec City, were used. Analyses included a sample of 619 children aged 8-10 years. Children's PA and sleep duration were obtained using an accelerometer and daily servings of food were assessed using three 24 h diet recalls. Moderation analyses were performed to investigate if each lifestyle habit, in all children, and in boys and girls, could reduce the positive associations between SGF, and obesity and cardiometabolic risk factors. High LPA duration was protective against low levels of HDL cholesterol in boys who were exposed to more than one SGF (p = 0.005). Sleep duration did not have a protective effect respectively against high waist circumference and obesity in children and girls who were prenatally exposed to maternal smoking during pregnancy. Diet and MVPA did not moderate the positive associations between SGF, obesity and cardiometabolic risk factors in children.

CONCLUSION

Among the three lifestyle habits, only LPA had a protective effect against low levels of HDL-cholesterol in boys. More studies are needed to confirm these results to inform future lifestyle intervention in this population.

No Association Between ADIPOQ or MTHFR Polymorphisms and Gestational Diabetes Mellitus in South African Women

PURPOSE

Gestational diabetes mellitus (GDM) is a growing public health concern. GDM affects approximately 14% of pregnancies globally, and without effective treatment, is associated with short- and long-term complications in mother and child. Lower serum adiponectin (ADIPOQ) concentrations and aberrant DNA methylation have been reported during GDM. The aim of this study was to investigate the association between the ADIPOQ -11377C>G and -11391G>A, and methylenetetrahydrofolate reductase (MTHFR) 677C>T polymorphisms and GDM in a population of black South African women.

MATERIALS AND METHODS

DNA was isolated from the peripheral blood of 447 pregnant women with (n=116) or without (n=331) GDM, where after ADIPOQ (rs266729 and rs17300539) and MTHFR (rs1801133) polymorphisms were genotyped using TaqMan Quantitative Real-Time PCR analysis.

RESULTS

Women with GDM had a higher body mass index (p=0.012), were more insulin resistant (p<0.001) and had lower adiponectin levels (p=0.013) compared to pregnant women with normoglycemia. Genotypic, dominant and recessive genetic models showed no association between ADIPOQ rs266729 and rs17300539 and MTHFR rs1801133 polymorphisms and GDM. Intriguingly, the risk G allele of ADIPOQ rs266729 was associated with higher fasting glucose and insulin concentrations, while the T allele in MTHFR rs1801133 was associated with higher fasting insulin concentrations only.

CONCLUSION

ADIPOQ rs266729 and rs17300539 and MTHFR rs1801133 polymorphisms are not associated with GDM in a population of black South African women. These findings suggest that these single nucleotide polymorphisms (SNPs) do not individually increase GDM risk in the African population. However, the role of these SNPs in possible gene-gene or gene-environment interactions remain to be established.

Microbiome and Gestational Diabetes: Interactions with Pregnancy Outcome and Long-Term Infant Health

Microbiota composition is progressively being connected to different physiologic effects, such as glucose metabolism, and also to different pathologies, such as gestational diabetes mellitus (GDM). GDM is a public health concern that affects an important percentage of pregnancies and is correlated with many adverse maternal and neonatal outcomes. An increasing number of studies are showing some connections between specific microbial composition of the gut microbiota and development of GDM and adverse outcomes in mothers and neonates. The aim of this review is to analyze the available data on microbial changes that characterize healthy pregnancies and pregnancies complicated by GDM and to understand the correlation of these changes with adverse maternal outcomes; this review will also discuss the consequences of these maternal gut microbiome alterations on neonatal microbiota composition and neonatal long-term outcomes.

High Prevalence of Obesity but Low Physical Activity in Children Aged 9-11 Years in Beijing

OBJECTIVE

To investigate the prevalence and associated factors of childhood overweight/obesity in the Shunyi district of Beijing, China.

METHODS

This study adopted a cross-sectional survey and included 10,855 children aged 6-18 years in the Shunyi district of Beijing, China. Analyses were stratified by age group (6-8, 9-11, 12-14, and 15-18 years).

RESULTS

The prevalence of overweight and obesity among children aged 6-18 years was high with 17.62% and 29.05% in boys, 17.57% and 18.04% in girls, respectively. Both boys and girls aged 9-11 years had the highest rate of obesity in comparison with the other age groups, though the differences in children aged 9-11 years and 12-14 years were not statistically significant. Compared with age 6-8 years, age 9-11 years (OR=1.59, 95% CI 1.41-1.79, P<0.01) and 12-14 years (OR=1.26, 95% CI 1.48-1.73, P<0.01) were independently positively associated with obesity. Importantly, in all subjects, the percentages of being physically active (exercise time ≥120 minutes/week) were lower in children aged 9-11 years in comparison to children in other age groups. This phenomenon remained when this comparison was performed respectively in the normal-weight, overweight, and obesity groups. Even after adjustment for other potential confounders, the probability of being physically active (exercise time ≥120 minutes/week) was lower in children aged 9-11 years (OR=0.86, 95% CI 0.78-0.94, P<0.01), but higher in children aged 12-14 years (OR=1.91, 95% CI 1.69-2.17, P<0.01) and aged 15-18 years (OR=2.22, 95% CI 1.85-2.66, P<0.01), when compared with children aged 6-8 years.

CONCLUSION

Children aged 9-11 years had a higher prevalence of obesity, but a lower percentage of being physically active. Targeted intervention programs in this key group are needed to address this problem in China.

Maternal GDM Status, Genetically Determined Blood Glucose, and Offspring Obesity Risk: An Observational Study

OBJECTIVE

The purpose of this study was to estimate the associations of genetically determined maternal blood glucose levels with obesity-related outcomes among children from pregnancies with and without gestational diabetes mellitus (GDM).

METHODS

A total of 1,114 mothers with (N = 560) and without (N = 554) GDM and their children were included in the present study. A maternal genetic risk score (GRS) for blood glucose was constructed on the basis of 17 single-nucleotide polymorphisms identified from a recent genome-wide association study.

RESULTS

It was found that maternal GRS for blood glucose showed different associations with offspring risk of overweight and obesity, as well as adiposity measures (all P _{for interaction}  < 0.05). Among mothers without GDM, genetically determined maternal blood glucose levels were associated with an 89% higher risk of overweight in their children (95% CI: 42%-152% per SD increase in GRS, P = 1.40 × 10^-5 ) and a 120% higher risk of obesity (44%-235%, P = 2.61 × 10^-4 ) after adjustment for covariates. In addition, higher maternal GRS for blood glucose was associated with children's increased obesity-related traits (all P < 0.05). However, no significant associations were observed among children of mothers with GDM.

CONCLUSIONS

This study indicates that GDM status may modify the relation between genetically determined glucose levels and obesity risk among children.

Maternal Gestational Diabetes and Early Childhood Obesity: A Retrospective Cohort Study

Background: Recently, childhood obesity has become one of the most serious public health problems in the world. Gestational diabetes mellitus (GDM) is considered a risk factor for childhood overweight and obesity. The study aimed at investigating the relationship between maternal GDM and childhood obesity in children aged from 1 to 3 years. Methods: In this retrospective cohort study, 237 GDM and 296 non-GDM mothers and their offspring who were followed up by Family Medicine Clinics in Rize province of Turkey were assessed. World Health Organization (WHO) criteria were used for the diagnosis of maternal GDM. Crude and adjusted logistic regression models were calculated for the association of gestational diabetes and childhood overweight/obesity. Gender and age-specific percentile tables were used for the categorization of BMI. Results: Statistical analysis carried out with adjustment for potential confounders (mother's age, educational status, smoking status, BMI, gestational weight gain, children's gender, and gestational birth weight) provided results with an odds ratio of 2.99; 95% CI 1.14-7.94 and 7.77; 95% CI 1.92-31.37 for the impact of gestational diabetes on childhood overweight and obesity at 2 and 3 years of age, respectively. Conclusions: This study found evidence for maternal GDM to cause the risk of early childhood obesity. Therefore, proper intervention strategies are required for this high-risk population.

Intrauterine Exposure to Diabetic Milieu Does Not Induce Diabetes and Obesity in Male Adulthood in a Novel Rat Model

Several studies show an association of maternal diabetes during pregnancy with adverse offspring metabolic health. Other studies, however, suggest that this effect might be biased by obesity, which is independently associated with offspring metabolic disease and often coexistent to maternal diabetes. We performed a prospective study in a rat model to test the hypothesis that the burden of a diabetic pregnancy without obesity deteriorates metabolic health in male offspring. We generated maternal type 2 diabetes before conception that persisted during pregnancy by knockdown of the insulin receptor in small hairpin RNA-expressing transgenic rats. Male WT (wild type) offspring were followed up until adulthood and metabolically challenged by high-fat diet. Blood glucose was measured continuously via a telemetry device. Glucose and insulin tolerance tests were performed, and body composition was analyzed. Weight gain and glucose levels during adolescence and adulthood were similar in male offspring of diabetic and control pregnancies. Body weight and fat mass after high-fat diet, as well as glucose and insulin tolerance tests, were unaltered between male adult offspring of both groups. Glycemic control consisting of up to 49 000 individual glucose measures was comparable between both groups. Intrauterine exposure to maternal hyperglycemia and hyperinsulinemia without obesity had no impact on male offspring metabolic health in our model. We conclude that the intrauterine exposure itself does not represent a mechanism for fetal programming of diabetes and obesity in our model. Other maternal metabolic parameters during pregnancy, such as obesity, might impact long-term offspring metabolic health.

Maternal Glucose Concentrations in Early Pregnancy and Cardiometabolic Risk Factors in Childhood

OBJECTIVE

This study aimed to examine the associations of maternal early-pregnancy glucose and insulin concentrations with offspring cardiometabolic risk factors and fat distribution.

METHODS

In a population-based prospective cohort study among 3,737 mothers and their children, random maternal glucose and insulin concentrations were measured at a median gestational age of 13.2 (95% range 10.5-17.1) weeks. Childhood fat, blood pressure, and blood concentrations of lipids, glucose, and insulin at the age of 10 years were measured.

RESULTS

Higher maternal early-pregnancy glucose and insulin concentrations were associated with a higher risk of childhood overweight, and higher maternal early-pregnancy insulin concentrations were associated with an increased childhood risk of clustering of cardiometabolic risk factors (all P < 0.05). These associations were explained by maternal prepregnancy BMI. Independent of maternal prepregnancy BMI, one SD score (SDS) higher maternal early-pregnancy glucose and insulin concentrations were associated with higher childhood glucose (0.08 SDS, 95% CI: 0.04-0.11) and insulin concentrations (0.07 SDS, 95% CI: 0.03-0.10), but not with childhood blood pressure, lipids, and fat measures.

CONCLUSIONS

These results suggest that maternal early-pregnancy random glucose and insulin concentrations are associated with childhood glucose and insulin concentrations but not with other childhood cardiometabolic risk factors.

Gestational Diabetes Mellitus and the Long-Term Risk for Glucose Intolerance and Overweight in the Offspring: A Narrative Review

Gestational diabetes mellitus (GDM) is a common condition with increasing prevalence worldwide. GDM is associated with an increased risk for maternal and neonatal complications. In this review we provide an overview of the most recent evidence on the long-term metabolic risk associated with GDM in the offspring. We conducted an extensive literature search on PubMed and Embase between February 2019 and December 2019. We performed a narrative review including 20 cohort studies, one cross-sectional study, and two randomized controlled trials. Our review shows that the prevalence of overweight/obesity and glucose intolerance is higher in children exposed to GDM compared to unexposed children. Maternal overweight is an important confounding factor, but recent studies show that in general the association remains significant after correction for maternal overweight. There is limited evidence suggesting that the association between GDM and adverse metabolic profile in the offspring becomes more significant with increasing offspring age and is also more pronounced in female offspring than in male offspring. More research is needed to evaluate whether treatment of GDM can prevent the long-term metabolic complications in the offspring.

Multidisciplinary Group Education for Gestational Diabetes Mellitus: A Prospective Observational Cohort Study

The value of diabetes education, focusing on lifestyle measures, in women with gestational diabetes mellitus (GDM) is acknowledged, but requires intensive education and input of resources if done on an individual basis. Group education could be a valuable alternative to individual education. This study aims to investigate the impact of multidisciplinary group education on women’s knowledge about GDM, education, treatment satisfaction, and emotional status. Two hundred women with GDM were enrolled in a prospective observational study. Dutch speaking women were offered group education at their first visit after GDM diagnosis. Non-Dutch speaking women or women for whom group education was not possible received individual education. Individual follow-up with a dietitian was planned within two weeks for all women. Women receiving individual education (n = 100) were more often from an ethnic minority background compared to women in group education (n = 100) (32.0% (n = 31) vs. 15.3% (n = 15), p = 0.01). Knowledge about GDM significantly improved after education, with few differences between the two education settings. Both patients in group and individual education were equally satisfied with the content and duration of the initial and follow-up education. Of all group participants, 91.8% (n = 90) were satisfied with group size (on average three participants) and 76.5% (n = 75) found that group education fulfilled their expectations. In conclusion, women diagnosed with GDM were overall satisfied with the education session’s content leading to a better understanding of their condition, independent of the education setting. Group education is a valuable alternative to better manage the increasing workload and is perceived as an added value by GDM patients.

Maternal gestational diabetes and infant feeding, nutrition and growth: a systematic review and meta-analysis

Gestational diabetes mellitus (GDM) is a major health problem, with increased risks of obesity and diabetes in offspring. However, little is known about the effect of GDM on infant feeding, nutrition and growth, and whether these factors play a role in mediating these risks. We systematically reviewed evidence for the effect of GDM on infant feeding, nutrition and growth. We searched MEDLINE, Web-of-Science, Embase, CINAHL and CENTRAL for studies that reported outcomes in infants <2 years who were and were not exposed to GDM. Studies of pre-gestational diabetes were excluded. Meta-analysis was performed for three epochs (1–6, 7–12, 13–24 months), using inverse-variance, fixed-effects methods. Primary outcomes were energy intake (kJ) and BMI (kg/m2). Twenty-five studies and 308 455 infants were included. Infants exposed to GDM, compared with those not exposed, had similar BMI at age 1–6 months (standardised mean difference (SMD) = 0·01, 95 % CI −0·04, 0·06; P = 0·69) and 7–12 months (SMD = 0·04, 95 % CI −0·01, 0·10; P = 0·09), reduced length at 1–6 and 7–12 months, increased whole-body fat at 1–6 months, higher rates of formula supplementation in hospital, shorter duration of breast-feeding and decreased rates of continued breast-feeding at 12 months. Breast milk of women with GDM had lower protein content. There was no association between GDM and infant weight and skinfold thickness. No data were available for nutritional intake and outcomes at 13–24 months. Low- or very low-quality evidence suggests GDM is not associated with altered BMI in infancy, but is associated with increased fat mass, high rates of formula use and decreased duration of breast-feeding.

Prediction of gestational diabetes based on nationwide electronic health records

Gestational diabetes mellitus (GDM) poses increased risk of short- and long-term complications for mother and offspring^1-4. GDM is typically diagnosed at 24-28 weeks of gestation, but earlier detection is desirable as this may prevent or considerably reduce the risk of adverse pregnancy outcomes^5,6. Here we used a machine-learning approach to predict GDM on retrospective data of 588,622 pregnancies in Israel for which comprehensive electronic health records were available. Our models predict GDM with high accuracy even at pregnancy initiation (area under the receiver operating curve (auROC) = 0.85), substantially outperforming a baseline risk score (auROC = 0.68). We validated our results on both a future validation set and a geographical validation set from the most populated city in Israel, Jerusalem, thereby emulating real-world performance. Interrogating our model, we uncovered previously unreported risk factors, including results of previous pregnancy glucose challenge tests. Finally, we devised a simpler model based on just nine questions that a patient could answer, with only a modest reduction in accuracy (auROC = 0.80). Overall, our models may allow early-stage intervention in high-risk women, as well as a cost-effective screening approach that could avoid the need for glucose tolerance tests by identifying low-risk women. Future prospective studies and studies on additional populations are needed to assess the real-world clinical utility of the model.

Cardiovascular risk factors in offspring exposed to gestational diabetes mellitus in utero: systematic review and meta-analysis

Gestational diabetes mellitus (GDM) is a pregnancy complication that affects one in seven pregnancies. Emerging evidence demonstrates that children born of pregnancies complicated by GDM may be at increased risk of cardiovascular disease (CVD) in adulthood. Therefore, the aim of this study was to determine cardiovascular risk factors in offspring exposed to GDM in utero. PubMed, CINAHL, SCOPUS, and EMBASE databases were searched. Information was extracted on established CVD risk factors including blood pressure, lipids, blood glucose, fasting insulin, body mass index (BMI), and endothelial/microvascular function. The review protocol is registered in PROSPERO (CRD42018094983). Prospective and retrospective studies comparing offspring exposed to GDM compared to controls (non-GDM pregnancies) were considered. We included studies that defined GDM based on the International Association of Diabetes and Pregnancy Study Groups (IADPSG) definition, or prior definitions. The PRISMA guidelines were followed in conducting this systematic review. Methodological quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Study selection, data extraction, and quality assessment were done by two independent reviewers. The data were pooled using a random-effects model. Of 59 eligible studies, 24 were included in the meta-analysis. Offspring exposed to GDM had higher systolic blood pressure (mean difference (MD): 1.75 mmHg, 95% CI 0.57-2.94; eight studies, 7264 participants), BMI z-score (MD 0.11, 95% CI 0.02-0.20; nine studies, 8759 participants), and glucose (standard MD 0.43, 95% CI 0.08-0.77; 11 studies, 6423 participants) than control participants. In conclusion, offspring exposed to GDM have elevated systolic blood pressure, BMI, and glucose. Those exposed to GDM in utero may benefit from early childhood blood pressure measurements.

The Sex Specific Association Between Maternal Gestational Diabetes and Offspring Metabolic Status at 1 Year of Age

Previous studies showed the association between maternal GDM and long-term effects of overweight in offspring. However, the nature of this association in the early postnatal period is still undetermined. The aim of this prospective cohort study was to evaluate whether maternal GDM is associated with overweight and obesity status in offspring at age 1 year. We studied 1167 infants born at a large obstetrical care hospital including 778 normal glucose tolerance (NGT) and 389 GDM pregnancies, matched in a 1:2 ratio according to offspring's gender, during the years 2016-2017. Overweight and obesity status in offspring of both groups were evaluated at 1 year of age through questionnaires. Infant outcomes were defined according to the WHO Child Growth Standards based on the length-based BMI-for-age. Female offspring from the GDM group exhibited a higher mean BMI (17.2 vs. 16.6, p < 0.01), a higher rate of obesity (13.9% vs. 7.7%; p < 0.05), and overweight (33.1% vs. 23.5%; p < 0.05) as compared to the NGT female group. In the multivariable regression model, maternal GDM was found to be independently and significantly associated with overweight or obesity in 1-year aged female offspring only (OR 1.61, 95% CI 1.09-2.37, p < 0.05). We found a sex specific association between maternal GDM and the overweight risk only in female offspring at 1 year of age.

Hyperglycaemia in Pregnancy and Anthropometric Parameters in the Offspring at 10 Years: A Community-Based Retrospective Cohort Study in Sri Lanka

BACKGROUND

Studies of developmental origins of health and disease have highlighted the possible role of intrauterine hyperglycaemia, increasing the future risk of obesity, diabetes, and cardiovascular diseases in the offspring. There is limited evidence from South Asian populations for risk estimates for childhood obesity that are attributable to maternal diabetes in utero.

OBJECTIVE

The aim of this study was to determine the association between hyperglycaemia in pregnancy (HIP) and anthropometric parameters in the offspring at 10-11 years of age.

METHODS

A community-based retrospective cohort study was conducted in Colombo district, Sri Lanka. In the first stage, children born in 2005 were identified, and the availability of antenatal records was assessed. In the second stage, the exposure status of participants was ascertained based on antenatal records and predefined criteria. In the third stage, height, weight, waist circumference, and triceps skinfold thickness (TSFT) of eligible participants were measured to ascertain the outcome status. Background characteristics were collected by interviewing mothers. A 24-hour dietary recall and a 3-day diet diary were recorded.

RESULTS

159 children of mothers with HIP (exposed) and 253 children of mothers with no HIP (nonexposed) participated. Mean ages (SD) of exposed and unexposed groups were 10.9 (0.3) and 10.8 (0.3) years, respectively. The median BMI (17.6 vs 16.1, p < 0.001), waist circumference (63 cm vs 59.3 cm, p < 0.001), and triceps skinfold thickness (13.7 mm vs 11.2 mm, p < 0.001) were significantly higher in the exposed group. Offspring of women with HIP were more likely to be overweight (aOR = 2.6, 95% CI 1.4-4.9) and have abdominal obesity (aOR = 2.7, 95% CI 1.1-6.5) and high TSFT (aOR = 2.2, 95% CI 1.06-4.7) at 10-11 years than children who were not exposed after adjusting for maternal BMI, maternal age at delivery, and birth order.

CONCLUSIONS

Intrauterine exposure to HIP is a significant determinant of overweight, high TSFT, and abdominal obesity in the offspring.

Influences of Maternal Prepregnancy Obesity and Gestational Diabetes Mellitus on the Infant Gut Microbiome in Full-Term Infants

This review examines the current evidence of how prepregnancy obesity (PPO) and gestational diabetes mellitus (GDM) influence the newborn gut microbiome. Scientific gaps in the literature are described to guide future research in this area. The prevalence of PPO and GDM increased to 64% in the United States over the past decade. Prepregnancy obesity and GDM influence newborn gut microbiome and contribute to adverse short- and long-term outcomes in full-term infants. This review aims to discuss current research findings related to the associations between PPO and GDM, separately, and together, on infant gut microbiome outcomes, provide an overview of short-term and long-term outcomes, describe clinical relevance, and identify avenues for future scientific inquiry. This review found that PPO and GDM influence infant gut microbiomes. Infants born to women with PPO and GDM were found to have lower levels of diversity in gut microbiota than infants born to normal prepregnancy weight women and those born to women without GDM.

Molecular Modelling of Islet β-Cell Adaptation to Inflammation in Pregnancy and Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM), a metabolic disease that develops with the increase in insulin resistance during late pregnancy, is currently one of the most common complications affecting pregnancy. The polygenic nature of GDM, together with the interplay between different genetic variants with nutritional and environmental factors has hindered the full understanding of the etiology of this disease. However, an important genetic overlap has been found with type 2 diabetes mellitus (T2DM) and, as in the case of T2DM, most of the identified loci are associated with β-cell function. Early detection of GDM and adequate interventions to control the maternal glycemia are necessary to avoid the adverse outcomes for both the mother and the offspring. The in utero exposure to the diabetic milieu predispose these children for future diseases, among them T2DM, originating a vicious circle implicated in the increased prevalence of both GDM and T2DM. The involvement of inflammatory processes in the development of GDM highlights the importance of pancreatic β-cell factors able to favor the adaptation processes required during gestation, concomitantly with the protection of the islets from an inflammatory milieu. In this regard, two members of the Pax family of transcription factors, PAX4 and PAX8, together with the chromatin remodeler factor HMG20A, have gained great relevance due to their involvement in β-cell mass adaptation together with their anti-inflammatory properties. Mutations in these factors have been associated with GDM, highlighting these as novel candidates for genetic screening analysis in the identification of women at risk of developing GDM.

Gestational diabetes exposure and adiposity outcomes in childhood and adolescence: An analysis of effect modification by breastfeeding, diet quality, and physical activity in the EPOCH study

BACKGROUND

Intrauterine exposure to gestational diabetes (GDM) is associated with increased adiposity; however, not all offspring exposed to GDM exhibit excess adiposity.

OBJECTIVES

Examine whether optimal diet and activity behaviours in infancy, childhood, and adolescence modify the association between GDM exposure and adiposity.

METHODS

In 564 offspring (84 exposed to GDM), we assessed breastfeeding (maternal recall), dietary intake (food frequency questionnaire), physical activity (3-day recall), and adiposity (BMI, waist-to-height ratio, visceral and subcutaneous adipose tissue, and subscapular-to-triceps skinfold ratio) at 10.4 (SD, 1.5) and 16.7 (SD, 1.2) years. Optimal behaviours were defined as >6 breastmilk months, Healthy Eating Index score >60, and daily vigorous activity >1 hour. Linear mixed models assessed the association between GDM exposure and adiposity among those with optimal versus suboptimal health behaviours, adjusting for sex, race/ethnicity, age, and pubertal status.

RESULTS

GDM exposure was associated with increased skinfold ratio, visceral and subcutaneous adipose tissue among those with <6 breastmilk months (all Ps < .05), but only associated with increased skinfold ratio among those with >6 breastmilk months (P = .01). GDM exposure was associated with increases in all adiposity measures among those with Healthy Eating Index scores <60 (P < .01), but not those with scores >60 (P > .10). GDM exposure was associated with increased BMI and subcutaneous adipose tissue among those with >1 hour of vigorous activity (P < .05) but not among those with <1 hour of vigorous activity (P > .30).

CONCLUSIONS

The association of GDM exposure with excess adiposity is attenuated in offspring with more optimal diet and activity behaviours in infancy, childhood, and adolescence.

Hyperglycemia During Pregnancy and Long-Term Offspring Outcomes

PURPOSE OF REVIEW

This review will focus on the long-term outcomes in offspring exposed to in utero hyperglycemia and gestational diabetes (GDM), including obesity, adiposity, glucose metabolism, hypertension, hyperlipidemia, nonalcoholic fatty liver disease, and puberty.

RECENT FINDINGS

There is evidence, mostly from observational studies, that offspring of GDM mothers have increased risk of obesity, increased adiposity, disorders of glucose metabolism (insulin resistance and type 2 diabetes), and hypertension. In contrast, evidence from the two intervention studies of treatment of mild GDM and childhood measures of BMI, adiposity, and glucose tolerance do not demonstrate that GDM treatment significantly reduces adverse childhood metabolic outcomes. Thus, more evidence is needed to understand the impact of maternal GDM on offspring's adiposity, glucose metabolism, lipid metabolism, risk of fatty liver disease, and pubertal onset. Offspring of GDM mothers may have increased risk for metabolic and cardiovascular complications. Targeting this group for intervention studies to prevent obesity and disorders of glucose metabolism is one potential strategy to prevent adverse metabolic health outcomes.