Neurocognitive and behavioural outcomes in offspring exposed to maternal pre-existing diabetes: a systematic review and meta-analysis

Association between maternal diabetes and neurodevelopmental outcomes in children: a systematic review and meta-analysis of 202 observational studies comprising 56·1 million pregnancies

BACKGROUND

Maternal diabetes might alter fetal brain development. However, well-designed systematic analyses are needed to comprehensively assess and quantify the association between maternal diabetes and neurodevelopmental outcomes in children. We aimed to synthesise and evaluate the available evidence on the effects of maternal diabetes on neurodevelopmental outcomes in children.

METHODS

For this systematic review and meta-analysis we searched PubMed, Web of Science, Embase, and EBSCO databases from inception to Dec 1, 2024, for studies exploring neurodevelopmental outcomes of children born to mothers with diabetes. The primary outcome was neurodevelopmental disorders, as defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and International Classification of Diseases 11th Revision. Data were extracted from published reports. Data were pooled with random-effects models and presented as risk ratios or standard mean differences with 95% CIs. This study was prospectively registered on PROSPERO (CRD42023395464).

FINDINGS

202 studies, involving 56 082 462 mother-child pairs, were included in the meta-analysis. Of these, 110 (54%) examined gestational diabetes, while 80 (40%) investigated pre-gestational diabetes. Among the total studies reviewed, 169 (84%) exclusively focused on children and adolescents aged up to 18 years. In studies adjusting for at least one key confounder, maternal diabetes was associated with increased risks of all types of neurodevelopmental disorders as well as lower intelligence and psychomotor scores. In studies adjusting for multiple confounders (n=98, 49%), children exposed to maternal diabetes had an increased risk of any neurodevelopmental disorder (risk ratio 1·28; 95% CI 1·24-1·31), autism spectrum disorder (1·25; 1·20-1·31), attention-deficit hyperactivity disorder (1·30; 1·24-1·37), intellectual disability (1·32; 1·18-1·47), specific developmental disorders (1·27; 1·17-1·37), communication disorder (1·20; 1·11-1·28), motor disorder (1·17; 1·10-1·26), and learning disorder (1·16; 1·06-1·26), compared with unexposed children. Maternal pre-gestational diabetes was more strongly associated with the risk of most neurodevelopmental disorders in children than gestational diabetes (risk ratio 1·39; [95% CI 1·34-1·44] vs 1·18 [1·14-1·23]; subgroup difference p<0·0001).

INTERPRETATION

Maternal diabetes is associated with an increased risk of neurodevelopmental disorders and impaired neurodevelopmental performance in children. Further high-quality research is needed to establish causality and clarify the associations between specific types of diabetes and the full spectrum of neurodevelopmental disorders.

FUNDING

The National Natural Science Foundation of China, and the Science and Technology Innovation Program of Hunan Province.

TRANSLATION

For the Mandarin translation of the abstract see Supplementary Materials section.

Is maternal diabetes during pregnancy associated with neurodevelopmental, cognitive and behavioural outcomes in children? Insights from individual participant data meta-analysis in ten birth cohorts

BACKGROUND

Growing evidence shows that dysregulated metabolic intrauterine environments can affect offspring's neurodevelopment and behaviour. However, the results of individual cohort studies have been inconsistent. We aimed to investigate the association between maternal diabetes before pregnancy and gestational diabetes mellitus (GDM) with neurodevelopmental, cognitive and behavioural outcomes in children.

METHODS

Harmonised data from > 200 000 mother-child pairs across ten birth cohorts in Europe and Australia were available. Mother-child pairs were included for analysis to determine whether GDM was recorded (yes or no) and whether at least one neurodevelopmental, cognitive and behavioural outcome was available in children aged 3 to 13 years. Confounder-adjusted regression models were used to estimate associations between maternal diabetes and child outcomes using two-stage individual participant data (IPD) meta-analysis. Model 1 included a crude estimate. The full adjustment model (model 2) included adjustment for child sex, maternal age, pre-pregnancy BMI, pregnancy weight gain, maternal smoking during pregnancy, plurality, parity and maternal education.

RESULTS

Children (aged 7-10 years) born to mothers with GDM had higher attention-deficient hyperactive disorder (ADHD) symptoms compared to non-exposed controls (model 2, regression coefficient (β) 3.67 (95% CI 1.13, 6.20), P = 0.001). Moreover, children (aged 4-6 years) born to mothers with GDM exhibited more externalising problems than those born to mothers without GDM (model 2, β 2.77 (95% CI 0.52, 5.02), P = 0.01). A pre-existing maternal history of type 1 and type 2 diabetes mellitus was associated with ADHD symptoms at 4-6 years (model 1, β 8.82 (95% CI 2.21, 15.45, P = 0.009) and β 7.90 (95% CI 0.82, 14.98, P = 0.02), respectively). The association was no longer apparent in further adjustments.

CONCLUSIONS

This study found that children between 4 - 6 and 7-10 years of age born to mothers with GDM have a greater likelihood of developing externalising problems and ADHD symptoms, respectively. Externalising problems often co-exist with ADHD symptoms and precede formal ADHD diagnosis. Overall, this large-scale multi-cohort study suggested that a dysregulated metabolic environment during pregnancy may contribute to ADHD symptoms and externalising problems in young children.

The association between maternal diabetes and the risk of attention deficit hyperactivity disorder in offspring: an updated systematic review and meta-analysis

Mixed results have been reported regarding the link between different types of maternal diabetes and attention deficit hyperactivity disorder (ADHD) in offspring. Hence, we conducted a systematic review and meta-analysis to explore these associations. Relevant studies on the subject were retrieved from six major databases, including PubMed, Medline, Embase, Scopus, CINAHL, and PsychINFO. The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale, and between-study heterogeneity was assessed using the I2 statistic. Subgroup, sensitivity, and meta-regression analyses were conducted to identify the sources of heterogeneity between studies. In total, seventeen observational studies (five case-control and twelve cohort studies) with 18,063,336 study participants were included in the final analysis. Our random-effects meta-analysis revealed that exposure to any form of maternal diabetes was associated with an increased risk of ADHD in children. Specifically, we observed a heightened risk of ADHD in children exposed to gestational diabetes mellitus, any pre-existing diabetes, pre-existing type 1 diabetes mellitus, and type 2 diabetes mellitus. Our study suggests that children exposed to diabetes during prenatal development are at a higher risk of developing ADHD. These findings underscore the critical importance of early screening and timely interventions for exposed offspring.

Maternal Fasting Plasma Glucose Level in Early Gestation and Developmental Delay in 2-year-old Children

BACKGROUND

The association of maternal hyperglycemia with childhood developmental delay has been examined; however, only 2 studies used maternal blood glucose level as a continuous variable as an exposure. A present study aimed to investigate the influence of maternal fasting plasma glucose (mFPG) level in early gestation on developmental delay in children.

METHODS

This cohort study included 1541 mother-child pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. mFPG level before 24 gestational weeks was obtained as a continuous and categorical variable. Developmental delay in 2-year-old children was assessed by mothers using the Ages and Stages Questionnaire (third edition). Associations between mFPG level and developmental delay in children were evaluated using multiple logistic regression analyses.

RESULTS

The prevalence of mFPG level ≥95 mg/dL was 5.2%. At 2 years old, 15.1% of the children had developmental delays. mFPG level as a continuous variable was not associated with an increased risk of developmental delay across the 5 domains in children [adjusted odds ratio (aOR), 95% confidence interval (CI): 1.004, 0.990-1.018]. mFPG level ≤70 mg/dL was associated with developmental delay across 5 domains (aOR, 95% CI: 0.464, 0.229-0.943) in children than that with a mFPG level 71 to 94 mg/dL. No association was found between mFPG level ≤70 mg/dL and ≥95 mg/dL and developmental delay in any domains among children.

CONCLUSION

mFPG level in early gestation was not associated with an increased risk of any developmental delays in 2-year-old children.

Neurodevelopmental Pathways to Obesity and Type 2 Diabetes: Insights From Prenatal Exposure to Maternal Obesity and Gestational Diabetes Mellitus: A Report on Research Supported by Pathway to Stop Diabetes

Incidences of childhood obesity and type 2 diabetes (T2D) are climbing at alarming rates. Evidence points to prenatal exposures to maternal obesity and gestational diabetes mellitus (GDM) as key contributors to these upward trends. Children born to mothers with these conditions face higher risks of obesity and T2D, beyond genetic or shared environmental factors. The underpinnings of this maternal-fetal programming are complex. However, animal studies have shown that such prenatal exposures can lead to changes in brain pathways, particularly in the hypothalamus, leading to obesity and T2D later in life. This article highlights significant findings stemming from research funded by my American Diabetes Association Pathway Accelerator Award and is part of a series of Perspectives that report on research funded by the American Diabetes Association Pathway to Stop Diabetes program. This critical support, received more than a decade ago, paved the way for groundbreaking discoveries, translating the neural programming findings from animal models into human studies and exploring new avenues in maternal-fetal programming. Our BrainChild cohort includes >225 children, one-half of whom were exposed in utero to maternal GDM and one-half born to mothers without GDM. Detailed studies in this cohort, including neuroimaging and metabolic profiling, reveal that early fetal exposure to maternal GDM is linked to alterations in brain regions, including the hypothalamus. These neural changes correlate with increased energy intake and predict greater increases in BMI, indicating that early neural changes may underlie and predict later obesity and T2D, as observed in animal models. Ongoing longitudinal studies in this cohort will provide critical insights toward breaking the vicious cycle of maternal-child obesity and T2D.

ARTICLE HIGHLIGHTS

Tracing the influence of prenatal risk factors on the offspring retina: Focus on development and putative long-term consequences

BACKGROUND

Pregnancy represents a window of vulnerability to fetal development. Disruptions in the prenatal environment during this crucial period can increase the risk of the offspring developing diseases over the course of their lifetime. The central nervous system (CNS) has been shown to be particularly susceptible to changes during crucial developmental windows. To date, research focused on disruptions in the development of the CNS has predominantly centred on the brain, revealing a correlation between exposure to prenatal risk factors and the onset of neuropsychiatric disorders. Nevertheless, some studies indicate that the retina, which is part of the CNS, is also vulnerable to in utero alterations during pregnancy. Such changes may affect neuronal, glial and vascular components of the retina, compromising retinal structure and function and possibly impairing visual function.

METHODS

A search in the PubMed database was performed, and any literature concerning prenatal risk factors (drugs, diabetes, unbalanced diet, infection, glucocorticoids) affecting the offspring retina were included.

RESULTS

This review collects evidence on the cellular, structural and functional changes occurring in the retina triggered by maternal risk factors during pregnancy. We highlight the adverse impact on retinal development and its long-lasting effects, providing a critical analysis of the current knowledge while underlining areas for future research.

CONCLUSIONS

Appropriate recognition of the prenatal risk factors that negatively impact the developing retina may provide critical clues for the design of preventive strategies and for early therapeutic intervention that could change retinal pathology in the progeny.

Long-term Neurobehavioral and Metabolic Outcomes in Offspring of Mothers With Diabetes During Pregnancy: A Large, Population-Based Cohort Study in Ontario, Canada

OBJECTIVE

Offspring of women with diabetes are at increased risk of developing neurobehavioral and cardiometabolic disorders, but there is scant evidence regarding the association between glycemic level during pregnancy and these long-term offspring outcomes.

RESEARCH DESIGN AND METHODS

We conducted a population-based, cohort study of deliveries in Ontario between April 1991 and March 2018. Women had preexisting diabetes, gestational diabetes, or no diabetes. We applied a Cox proportional hazard model to examine the risk of developing attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and cardiometabolic outcomes in offspring and assessed the association between pregnancy HbA1c levels and risk of outcomes, adjusting for confounders.

RESULTS

A total of 3,407,961 mother-infant pairs were followed up to 29 years. Using a Cox proportional hazard model, offspring of women with type 1 diabetes had the highest risk of ADHD (adjusted hazard ratio [aHR] 1.43 [95% CI 1.36-1.49]), ASD (aHR 1.94 [1.80-2.09]), diabetes (aHR 4.73 [4.34-5.16]), hypertension (aHR 2.32 [2.07-2.61]), and cardiovascular disease (CVD) (aHR 1.72 [1.56-1.90]), followed by offspring of women with type 2 diabetes and gestational diabetes compared with those unexposed. Among women with preexisting diabetes, there was an association between level of pregnancy HbA1c and offspring diabetes (aHR 1.22 [95% CI 1.12-1.32]), hypertension (aHR 1.42 [1.29-1.57]), and CVD (aHR 1.20 [1.11-1.29]) but no statistically significant association with neurobehavioral outcomes.

CONCLUSIONS

In utero exposure to maternal diabetes was associated with an increase in ADHD, ASD, and cardiometabolic outcomes in offspring, with differences seen across diabetes subtypes. Pregnancy glycemia was associated with cardiometabolic outcomes, but not neurobehavioral outcomes, and provides a potentially modifiable risk factor to decrease cardiometabolic outcomes in offspring.

Risk cycling in diabetes and autism spectrum disorder: a bidirectional Mendelian randomization study

Objective

The relationship between diabetes mellitus (DM) and autism spectrum disorder (ASD) remains controversial. This study aimed to analyze the causal relationship between different types of DM and ASD by bidirectional Mendelian randomization (MR).

Methods

Single nucleotide polymorphisms for type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), gestational diabetes mellitus (GDM), and ASD were obtained from genome-wide association studies. Subsequently, inverse variance weighted, MR-Egger, and weighted median were used to test the exposure-outcome causality. Finally, MR-Egger's intercept, Cochran's Q, and leave-one-out method were used to assess horizontal pleiotropy, heterogeneity, and sensitivity of the results, respectively.

Results

The positive analysis showed that T2DM was associated with an increased risk of ASD, whereas neither T1DM nor GDM was associated with the risk of ASD. The reverse analysis showed that ASD was associated with an increased risk of T2DM, while it was not associated with the risk of either T1DM or GDM. MR-Egger intercept showed no horizontal pleiotropy (p > 0.05) for these results. Cochran's Q showed no heterogeneity expect for the results of T1DM on the risk of ASD, and leave-one-out sensitivity analysis showed these results were robust.

Conclusion

This MR analysis suggests that T2DM and ASD are reciprocal risk factors and that they may create an intergenerational risk cycling in female patients. Aggressive prevention and treatment of T2DM and ASD help to break the trap of this risk cycling. Additionally, this study does not support a causal relationship between T1DM and ASD, as well as GDM and ASD. And more studies are needed in the future to continue to explore the interactions and underlying mechanisms between different types of DM and ASD.

Understanding the link between different types of maternal diabetes and the onset of autism spectrum disorders

Autism spectrum disorders (ASD) encompass a collection of neurodevelopmental disorders that exhibit impaired social interactions and repetitive stereotypic behaviors. Although the exact cause of these disorders remains unknown, it is widely accepted that both genetic and environmental factors contribute to their onset and progression. Recent studies have highlighted the potential negative impact of maternal diabetes on embryonic neurodevelopment, suggesting that intrauterine hyperglycemia could pose an additional risk to early brain development and contribute to the development of ASD. This paper presents a comprehensive analysis of the current research on the relationship between various forms of maternal diabetes, such as type 1 diabetes mellitus, type 2 diabetes mellitus, and gestational diabetes mellitus, and the likelihood of ASD in offspring. The study elucidates the potential mechanisms through which maternal hyperglycemia affects fetal development, involving metabolic hormones, immune dysregulation, heightened oxidative stress, and epigenetic alterations. The findings of this review offer valuable insights for potential preventive measures and evidence-based interventions targeting ASD.

Clinical Characteristics of Offspring Born to Parents with Type 2 Diabetes Diagnosed in Youth: Observations from TODAY

Diabetes exposure during pregnancy affects health outcomes in offspring; however, little is known about in utero exposure to preexisting parental youth-onset type 2 diabetes. Offspring born to participants during the Treatment Options for Type 2 Diabetes in Adolescent and Youth (TODAY) study were administered a questionnaire at the end of the study. Of 457 participants, 37% of women and 18% of men reported 228 offspring, 80% from female participants. TODAY mothers had lower household income (<$25,000) compared to TODAY fathers (69.4% vs. 37.9%, p = 0.0002). At 4.5 years of age (range 0-18 years), 16.7% of offspring were overweight according to the parental report of their primary care provider, with no sex difference. Offspring of TODAY mothers reported more daily medication use compared to TODAY fathers (50/183, 27.7% vs. 6/46, 12.2%, [p = 0.04]), a marker of overall health. TODAY mothers also reported higher rates of recidivism (13/94) than TODAY fathers (0/23). An Individualized Education Plan was reported in 20/94 (21.3%) offspring of TODAY mothers compared to 2/23 (8.7%) of TODAY fathers. This descriptive study, limited by parental self-reports, indicated offspring of participants in TODAY experience significant socioeconomic disadvantages, which, when combined with in utero diabetes exposure, may increase their risk of health and educational disparities.

Medication Usage Record-Based Predictive Modeling of Neurodevelopmental Abnormality in Infants under One Year: A Prospective Birth Cohort Study

Early identification of children with neurodevelopmental abnormality is a major challenge, which is crucial for improving symptoms and preventing further decline in children with neurodevelopmental abnormality. This study focuses on developing a predictive model with maternal sociodemographic, behavioral, and medication-usage information during pregnancy to identify infants with abnormal neurodevelopment before the age of one. In addition, an interpretable machine-learning approach was utilized to assess the importance of the variables in the model. In this study, artificial neural network models were developed for the neurodevelopment of five areas of infants during the first year of life and achieved good predictive efficacy in the areas of fine motor and problem solving, with median AUC = 0.670 (IQR: 0.594, 0.764) and median AUC = 0.643 (IQR: 0.550, 0.731), respectively. The final model for neurodevelopmental abnormalities in any energy region of one-year-old children also achieved good prediction performance. The sensitivity is 0.700 (IQR: 0.597, 0.797), the AUC is 0.821 (IQR: 0.716, 0.833), the accuracy is 0.721 (IQR: 0.696, 0.739), and the specificity is 0.742 (IQR: 0.680, 0.748). In addition, interpretable machine-learning methods suggest that maternal exposure to drugs such as acetaminophen, ferrous succinate, and midazolam during pregnancy affects the development of specific areas of the offspring during the first year of life. This study established predictive models of neurodevelopmental abnormality in infants under one year and underscored the prediction value of medication exposure during pregnancy for the neurodevelopmental outcomes of the offspring.

Maternal type 1 diabetes, preterm birth, and risk of intellectual disability in the offspring: A nation-wide study in Sweden

OBJECTIVE

There are few data on long-term neurological or cognitive outcomes in the offspring of mothers with type 1 diabetes (T1D). The aims of this study were to examine if maternal T1D increases the risk of intellectual disability (ID) in the offspring, estimate the amount of mediation through preterm birth, and examine if the association was modified by maternal glycated hemoglobin (HbA1c).

DESIGN

Population-based cohort study using population-based data from several national registries in Sweden.

SETTING AND PARTICIPANTS

All offspring born alive in Sweden between the years 1998 and 2015.

MAIN OUTCOME MEASURE

The risk of ID was estimated through hazard ratios with 95% confidence intervals (HR, 95% CI) from Cox proportional hazard models, adjusting for potential confounding. Risks were also assessed in mediation analyses and in subgroups of term/preterm births, in relation to maternal HbA1c and by severity of ID.

RESULTS

In total, 1,406,441 offspring were included. In this cohort, 7,794 (0.57%) offspring were born to mothers with T1D. The risk of ID was increased in offspring of mothers with T1D (HR; 1.77, 1.43-2.20), of which 47% (95% CI: 34-100) was mediated through preterm birth. The HRs were not modified by HbA1c.

CONCLUSION

T1D in pregnancy is associated with moderately increased risks of ID in the offspring. The risk is largely mediated by preterm birth, in particular for moderate/severe cases of ID. There was no support for risk-modification by maternal HbA1c.

Periconceptional Serum Creatinine and Risk of Childhood Autism Spectrum Disorder: A Research Letter

Background

Autism spectrum disorder (ASD) is a neurodevelopmental condition that manifests in early childhood, in which the maternal metabolic syndrome may be a risk factor. The kidney is a barometer of maternal metabolic syndrome duration and severity.

Objective

The main objective of this study is to determine whether periconceptional kidney function is associated with ASD in early childhood.

Design Setting and Participants

This retrospective population-based cohort study was completed in Ontario, Canada. Included were singleton children born in an Ontario hospital between April 2007 and March 2021, who were alive at age 48 months and whose mother had a recorded prepregnancy body mass index (BMI) and a measured serum creatinine (SCr) between 120 days preconception and 28 days postconception.

Measurement

The main study outcome was a diagnosis of ASD between ages 24 and 48 months.

Methods

Relative risks (RRs) of ASD in association with periconceptional SCr were generated using modified Poisson regression and adjusted for several confounders.

Results

The cohort comprised 86 054 women, who had 89 677 liveborn children surviving to at least 48 months of age. There was no significant association between periconceptional SCr and ASD (RR: 0.86; 95 % confidence interval: [0.67, 1.10]).

Limitations

Selection bias may have arisen had SCr been ordered on clinical grounds.

Conclusions

Further study is warranted to determine whether prepregnancy glomerular hyperfiltration is a marker of ASD and other behavioral conditions in childhood. To do so, a more accurate measure of hyperfiltration is needed than SCr.

Executive function and behaviour problems in school-age children born at risk of neonatal hypoglycaemia

AIM

To examine the relationship between neonatal hypoglycaemia and specific areas of executive function and behaviour in mid-childhood.

METHOD

Participants in a prospective cohort study of infants born late preterm or at term at risk of neonatal hypoglycaemia were assessed at 9 to 10 years. We assessed executive function using performance-based (Cambridge Neuropsychological Tests Automated Battery) and questionnaire-based (Behavior Rating Inventory of Executive Function) measures and behaviour problems with the Strengths and Difficulties Questionnaire. Data are reported as adjusted odds ratio (aOR) with 95% confidence intervals, and standardized regression coefficients.

RESULTS

We assessed 480 (230 females, 250 males; mean age 9 years 5 months [SD 4 months, range 8 years 8 months-11 years 0 months]) of 587 eligible children (82%). There were no differences in performance-based executive function between children who did and did not experience neonatal hypoglycaemia (blood glucose <2.6 mmoL/L). However, children who experienced hypoglycaemia, especially if severe or recurrent, were at greater risk of parent-reported metacognition difficulties (aOR 2.37-3.71), parent-reported peer (aOR 1.62-1.89) and teacher-reported conduct (aOR 2.14 for severe hypoglycaemia) problems. Both performance- and questionnaire-based executive functions were associated with behaviour problems.

INTERPRETATION

Neonatal hypoglycaemia may be associated with difficulties in specific aspects of parent-reported executive functions and behaviour problems in mid-childhood.

Maternal diabetes affects rat offspring retinal structure and function: Sex-specific vulnerabilities at infancy

AIMS

Maternal diabetes negatively impacts the offspring's brain, but little is known about its effects on the retina, which is also part of the central nervous system. We hypothesized that maternal diabetes adversely influences offspring retina development leading to structural and functional deficits.

MAIN METHODS

Retinal structure and function were evaluated at infancy, by optical coherence tomography and electroretinography, in male and female offspring of control, diabetic and diabetic-treated with insulin Wistar rats.

KEY FINDINGS

Maternal diabetes induced a delay in male and female offspring eye-opening, while insulin treatment expedited it. Structural analysis showed that maternal diabetes decreased the thickness of the inner and outer segment layer of photoreceptors in male offspring. Electroretinography also revealed that maternal diabetes decreased the amplitude of scotopic b-wave and flicker response in males, suggesting bipolar cells and cone photoreceptor dysfunction, an effect not observed in females. Conversely, maternal diabetes decreased cone arrestin protein levels in female retinas, while not affecting cone photoreceptor number. Dam insulin therapy was efficient in preventing the offspring photoreceptor changes.

SIGNIFICANCE

Our results suggest that photoreceptors are affected by maternal diabetes, which may account for visual impairments at infancy. Notably, both male and female offspring presented specific vulnerabilities to hyperglycemia in this sensitive period of development.

Effect of exposure to maternal diabetes during pregnancy on offspring's brain cortical thickness and neurocognitive functioning

Little is known about the long-term effects of maternal diabetes during pregnancy (DP), either gestational diabetes or preexisting diabetes (type 1 or type 2), on offspring's brain morphometry and neurocognitive functioning (NCF). This study examined the effect of prenatal exposure to maternal DP on the brain structure and NCF in children between 9 and 10 years of age. This study used cross-sectional neuroimaging and NCF data from the baseline wave of the Adolescent Brain and Cognitive Development® study. Exposure to maternal DP was assigned from the developmental history questionnaire. Differences in the brain cortical thickness (CTh) and five cognitive abilities (executive function, working and episodic memory, processing speed, and language abilities) were examined in diabetes-exposed and diabetes-unexposed children. Linear mixed effect models and generalized linear models were used to adjust for the effect of confounding variables. A total of 9,967 children (718 diabetes-exposed and 9249 unexposed) were included in the analysis. Diabetes-exposed children had lower whole-brain CTh [mean: exposed vs unexposed = 2.725 mm vs 2.732 mm; difference (95%CI): -0.007 mm (-0.013, -0.001)] compared to unexposed children after adjusting for confounding variables. Diabetes-exposed children had lower CTh in most part of the occipital lobe of both hemispheres, right postcentral gyrus, and left superior parietal cortex. Diabetes-exposed children also had lower scores in processing speed task [mean difference (95%CI): -1.7 (-2.8, -0.6)] and total cognition [mean difference (95%CI): -0.6 (-1.2, -0.02)]. Diabetes-exposed children have reduced CTh and NCF during preadolescence, which might have implications for psychomotor development during later life. Prospective studies are needed to confirm our findings.

Exploring potential impacts of pregnancy-related maternal immune activation and extracellular vesicles on immune alterations observed in autism spectrum disorder

Autism Spectrum Disorder (ASD) is a set of neurodevelopmental disorders usually observed in early life, with impacts on behavioral and social skills. Incidence of ASD has been dramatically increasing worldwide, possibly due to increase in awareness/diagnosis as well as to genetic and environmental triggers. Currently, it is estimated that ∼1% of the world population presents ASD symptoms. In addition to its genetic background, environmental and immune-related factors also influence the ASD etiology. In this context, maternal immune activation (MIA) has recently been suggested as a component potentially involved in ASD development. In addition, extracellular vesicles (EVs) are abundant at the maternal-fetal interface and are actively involved in the immunoregulation required for a healthy pregnancy. Considering that alterations in concentration and content of EVs have also been associated with ASD, this article raises a debate about the potential roles of EVs in the processes surrounding MIA. This represents the major differential of the present review compared to other ASD studies. To support the suggested correlations and hypotheses, findings regarding the roles of EVs during pregnancy and potential influences on ASD are discussed, along with a review and update concerning the participation of infections, cytokine unbalances, overweight and obesity, maternal anti-fetal brain antibodies, maternal fever, gestational diabetes, preeclampsia, labor type and microbiota unbalances in MIA and ASD.

Maternal metabolic syndrome in pregnancy and child development at age 5: exploring mediating mechanisms using cord blood markers

BACKGROUND

There is limited evidence on how the classification of maternal metabolic syndrome during pregnancy affects children's developmental outcomes and the possible mediators of this association. This study uses a cohort sample of 12,644 to 13,832 mother-child pairs from the UK Born in Bradford Study to examine the associations between maternal metabolic syndrome classification (MetS) and child development outcomes at age 5, using cord blood markers as candidate mediators.

METHODS

Maternal cardiometabolic markers included diabetes, obesity, triglycerides, high-density lipoprotein cholesterol, blood pressure, hypertension, and fasting glucose during pregnancy. Cord blood markers of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, leptin, and adiponectin were used as child mediators. Child outcomes included two starting school variables: British Picture Vocabulary Scale (BPVS) and the Letter Identification Assessment (LID), and five developmental milestone domains from a national UK framework: (1) communication and language (COM); (2) personal, social, and emotional (PSE); (3) physical development (PHY); (4) literacy (LIT); and (5) mathematics (MAT). Mediation models were used to examine the associations between the classification of maternal metabolic syndrome and child developmental milestones. Models were adjusted for potential maternal, socioeconomic, and child confounders such as maternal education, deprivation, and gestational age.

RESULTS

In mediation models, significant total effects were found for MetS associations with children's development in the LIT domain at age 5. MetS predicted individual cord blood mediators of lower HDL and increased leptin levels in both adjusted and unadjusted models. Total indirect effects (effects of all mediators combined) for MetS on a child's COM and PSE domain were significant, through all child cord blood mediators of LDL, HDL, triglycerides, adiponectin, and leptin for adjusted models.

CONCLUSIONS

The results support the hypothesis that maternal metabolic syndrome classification during pregnancy is associated with some child developmental outcomes at age 5. After adjusting for maternal, child, and environmental covariates, maternal metabolic syndrome classification during pregnancy was associated with children's LIT domain through direct effects of maternal metabolic health and indirect effects of cord blood markers (total effects), and COM and PSE domains via changes only in a child's cord blood markers (total indirect effects).

Robust determinants of neurocognitive development in children: evidence from the Pune Maternal Nutrition Study

Neurocognitive development is a dynamic process over the life course and is influenced by intrauterine factors as well as later life environment. Using data from the Pune Maternal Nutrition Study from 1994 to 2008, we investigate the association of in utero, birth, and childhood conditions with offspring neurocognitive development in 686 participants of the cohort, at age 12 years. The life course exposure variables in the analysis include maternal pre-pregnancy size and nutrition during pregnancy, offspring birth measurements, nutrition and physical growth at age 12 years along with parental education and socio-economic status. We used the novel Bayesian Model Averaging (BMA) approach; which has been shown to have better predictive performance over traditional tests of associations. Our study employs eight standard neurocognitive tests that measure intelligence, working memory, visuo-conceptual and verbal learning, and decision-making/attention at 12 years of age. We control for nutritional-metabolic information based on blood measurements from the pregnant mothers and the children at 12 years of age. Our findings highlight the critical role of parental education and socio-economic background in determining child neurocognitive performance. Maternal characteristics (pre-pregnancy BMI, fasting insulin during pregnancy) and child height at 12 years were also robust predictors on the BMA. A range of early factors - such as maternal folate and ferritin concentrations during pregnancy, and child's head circumference at birth - remained important determinants of some dimensions of child's neurocognitive development, but their associations were not robust once we account for model uncertainty. Our results suggest that intrauterine influences on long- term neurocognitive outcomes may be potentially reversible by post-birth remediation. In addition to the current nutritional interventions, public health policy should also consider social interventions in children born into families with low socio-economic status to improve human capital.

Glycaemic control and novel technology management strategies in pregestational diabetes mellitus

Introduction

Pregestational diabetes (PGDM) is an increasingly common and complex condition that infers risk to both mother and infant. To prevent serious morbidity, strict glycaemic control is essential. The aim of this review is to review the glucose sensing and insulin delivering technologies currently available for women with PGDM.

Methods

We reviewed online databases for articles relating to technology use in pregnancy using a combination of keywords and MeSH headings. Relevant articles are included below.

Results

A number of technological advancements have improved care and outcomes for women with PGDM. Real time continuous glucose monitoring (rtCGM) offers clear advantages in terms of infants size and neonatal intensive care unit admissions; and further benefits are seen when combined with continuous subcutaneous insulin delivery (insulin pump) and algorithms which continuously adjust insulin levels to glucose targets (hybrid closed loop). Other advancements including flash or intermittent scanning CGM (isCGM) and stand-alone insulin pumps do not confer as many advantages for women and their infants, however they are increasingly used outside of pregnancy and many women enter pregnancy already using these devices.

Discussion

This article offers a discussion of the most commonly used technologies in pregnancy and evaluates their current and future roles.

Maternal Multiple Sclerosis and Offspring's Cognitive and Behavioral Development: What Do We Know until Now?

Multiple Sclerosis (MS) is a chronic pathological condition representing one of the main causes of neurological disability in the female young population. MS, as an immune disorder, could impact fetus development, and, considering the need for and the possibility of pharmacological treatment during pregnancy, the possible influence of medication on developmental trajectories represents a topic of great interest. We provide an overview of the available literature on the influence of maternal Multiple Sclerosis on offspring cognitive and behavioral development. A study was conducted on Pubmed, Medline and Google Scholar, considering empirical studies and reviews exclusively in the English language. Maternal MS appears not to be associated with emotional and behavioral problems, as evaluated through retrospective studies. However, a specific cognitive and behavioral phenotype, through the administration of standardized instruments, has not been delineated yet. Available studies on the topic are characterized by poor methodology and do not lead to conclusions. This overview highlights implications for further longitudinal studies which should delineate offspring developmental trajectories, taking into consideration maternal confounding factors and the exposure to pharmacological treatment in pregnancy.

Influence of Maternal Diabetes on the Risk of Neurodevelopmental Disorders in Offspring in the Prenatal and Postnatal Periods

BACKGROUND

This study aimed to evaluate the influence of maternal diabetes in the risk of neurodevelopmental disorders in offspring in the prenatal and postnatal periods.

METHODS

This cohort study included singleton gestational diabetes mellitus (GDM) pregnancies >22 weeks' gestation with live newborns between 1991 and 2008. The control group was randomly selected and matched (1:2) for maternal age, weeks of gestation and birth year. Cox regression models estimated the effect of GDM on the risk of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and maternal type 2 diabetes mellitus (T2DM). Moreover, interaction between maternal T2DM and GDM-ADHD relationship was evaluated.

RESULTS

Children (n=3,123) were included (1,073 GDM; 2,050 control group). The median follow-up was 18.2 years (interquartile range, 14.2 to 22.3) (n=323 with ADHD, n=36 with ASD, and n=275 from women who developed T2DM). GDM exposure was associated with ADHD (hazard ratio [HR]crude, 1.67; 95% confidence interval [CI], 1.33 to 2.07) (HRadjusted, 1.64; 95% CI, 1.31 to 2.05). This association remained significant regardless of the treatment (diet or insulin) and diagnosis after 26 weeks of gestation. Children of mothers who developed T2DM presented higher rates of ADHD (14.2 vs. 10%, P=0.029). However, no interaction was found when T2DM was included in the GDM and ADHD models (P>0.05). GDM was not associated with an increased risk of ASD (HRadjusted, 1.46; 95% CI, 0.74 to 2.84).

CONCLUSION

Prenatal exposure to GDM increases the risk of ADHD in offspring, regardless of GDM treatment complexity. However, postnatal exposure to maternal T2DM was not related to the development of ADHD.

Role of Excessive Weight Gain During Gestation in the Risk of ADHD in Offspring of Women With Gestational Diabetes

CONTEXT

Although attention-deficit/hyperactivity disorder (ADHD) has been associated with gestational diabetes mellitus (GDM) and maternal obesity, excessive weight gain (EWG) during pregnancy has scarcely been evaluated.

OBJECTIVE

This study aimed to assess the joint effect of maternal weight and EWG on the risk of ADHD in offspring of GDM pregnancies.

METHODS

In this cohort study of singleton births >22 weeks of gestation of women with GDM between 1991 and 2008, gestational weight gain above the National Academy of Medicine (NAM) recommendations was classified into EWG. Cox-regression models estimated the effect of maternal pregestational weight and EWG on the risk of ADHD (identified from medical records), adjusted for pregnancy outcomes and GDM-related variables.

RESULTS

Of 1036 children who were included, with a median follow-up of 17.7 years, 135 (13%) were diagnosed with ADHD. ADHD rates according to pregestational maternal weight were 1/14 (7.1%) for underweight, 62/546 (11.4%) for normal weight, 40/281 (14.2%) for overweight, and 32/195 (16.4%) for obesity. Only maternal obesity was independently associated with ADHD (HRadjusted 1.66 [95% CI, 1.07-2.60]), but not maternal overweight or EWG. On evaluating the joint contribution of maternal weight and EWG, maternal obesity with EWG was associated with the highest risk of ADHD (vs normal weight without EWG; HRadjusted 2.13 [95% CI, 1.14-4.01]). Pregestational obesity without EWG was no longer associated (HRadjusted 1.36 [95% CI, 0.78-2.36]).

CONCLUSION

Among GDM pregnancies, pregestational obesity was associated with a higher risk of ADHD in offspring. Nonetheless, when gestational weight gain was taken into account, only the joint association of obesity and EWG remained significant.

How Do the Different Types of Maternal Diabetes during Pregnancy Influence Offspring Outcomes?

Background/Aim of the study: Exposure to maternal diabetes is considered one of the most common in utero insults that can result in an increased risk of complications later in life with a permanent effect on offspring health. In this study, we aim to assess the level of risk associated with each type of maternal diabetes on obesity, glucose intolerance, cardiovascular diseases (CVD), and neurodevelopmental disorders in offspring. Methods: We conducted a systematic review of the literature utilizing PubMed for studies published between January 2007 and March 2022. Our search included human cohorts and case control studies following offspring exposed at least to two different types of maternal diabetes clearly identified during pregnancy. Collected outcomes included prevalence, incidence, odds ratio, hazard ratio and risk ratio. Results: Among 3579 published studies, 19 cohorts were eligible for inclusion in our review. The risks for overweight, obesity, type 2 diabetes (T2D), glucose intolerance, metabolic syndrome, and CVD were increased for all types of maternal diabetes during pregnancy. The risk of overweight or obesity in infancy and in young adults was similar between gestational diabetes mellitus (GDM) and type 1 diabetes (T1D). The risk for T2D or abnormal glucose tolerance was double for offspring from GDM mothers compared to offspring from T1D mothers. In contrast, the risk for T1D in offspring at any age until young adulthood was increased when mothers had T1D compared to GDM and T2D. The risk for CVD was similar for all types of maternal diabetes, but more significant results were seen in the occurrence of heart failure and hypertension among offspring from T2D mothers. The risk of autism spectrum disorders and attention deficit/hyperactivity disorders was mainly increased after in utero exposure to preexisting T1D, followed by T2D. Conclusions: Offspring of diabetic mothers are at increased risk for multiple adverse outcomes with the highest risk detected among offspring from T2D mothers. Future work warrants large multiethnic prospective cohort studies that aim to identify the risks associated with each type of maternal diabetes separately.

School performance in Danish children exposed to maternal type 1 diabetes in utero: A nationwide retrospective cohort study

BACKGROUND

Conflicting results have been reported concerning possible adverse effects on the cognitive function of offspring of mothers with type 1 diabetes (O-mT1D). Previous studies have included offspring of parents from the background population (O-BP), but not offspring of fathers with type 1 diabetes (O-fT1D) as the unexposed reference group.

METHODS AND FINDINGS

This is a population-based retrospective cohort study from 2010 to 2016. Nationally standardized school test scores (range, 1 to 100) were obtained for public school grades 2, 3, 4, 6, and 8 in O-mT1D and compared with those in O-fT1D and O-BP. Of the 622,073 included children, 2,144 were O-mT1D, and 3,474 were O-fT1D. Multiple linear regression models were used to compare outcomes, including the covariates offspring with type 1 diabetes, parity, number of siblings, offspring sex, smoking during pregnancy, parental age, and socioeconomic factors. Mean test scores were 54.2 (standard deviation, SD 24.8) in O-mT1D, 54.4 (SD 24.8) in O-fT1D, and 56.4 (SD 24.7) in O-BP. In adjusted analyses, the mean differences in test scores were -1.59 (95% CI -2.48 to -0.71, p < 0.001) between O-mT1D and O-BP and -0.78 (95% CI -1.48 to -0.08, p = 0.03) between O-fT1D and O-BP. No significant difference in the adjusted mean test scores was found between O-mT1D and O-fT1D (p = 0.16). The study's limitation was no access to measures of glycemic control during pregnancy.

CONCLUSIONS

O-mT1D achieved lower test scores than O-BP but similar test scores compared with O-fT1D. Glycemic control during pregnancy is essential to prevent various adverse pregnancy outcomes in women with type 1 diabetes. However, the present study reduces previous concerns regarding adverse effects of in utero hyperglycemia on offspring cognitive function.

Intrauterine hyperglycemia impairs memory across two generations

Studies on humans and animals suggest associations between gestational diabetes mellitus (GDM) with increased susceptibility to develop neurological disorders in offspring. However, the molecular mechanisms underpinning the intergenerational effects remain unclear. Using a mouse model of diabetes during pregnancy, we found that intrauterine hyperglycemia exposure resulted in memory impairment in both the first filial (F1) males and the second filial (F2) males from the F1 male offspring. Transcriptome profiling of F1 and F2 hippocampi revealed that differentially expressed genes (DEGs) were enriched in neurodevelopment and synaptic plasticity. The reduced representation bisulfite sequencing (RRBS) of sperm in F1 adult males showed that the intrauterine hyperglycemia exposure caused altered methylated modification of F1 sperm, which is a potential epigenetic mechanism for the intergenerational neurocognitive effects of GDM.

Language abilities in children born to mothers diagnosed with diabetes: A systematic review and meta-analysis

BACKGROUND

This meta-analysis reviewed and synthesized the available evidence on the association between intrauterine exposure to maternal diabetes and language abilities in children.

METHOD

MEDLINE/PubMed, EMBASE, PsycINFO, Proquest Dissertations and Theses Global, and Google Scholar databases were searched through December 2020. Studies were systematically searched, and effect sizes were calculated using random effects models.

RESULTS

Twelve studies were identified for inclusion in this review, however, only 10 were included in the meta-analysis. Sample size ranged from 9 to 115 participants in the diabetes group and 28 to 8192 in the control and aged around 3 years. The pooled results of the meta-analysis showed a trend of decreased language abilities in receptive (z = -3.49, df = 10, I² = 34, p = 0.001), expressive language development (z = -2.29, df = 11, I² = 94%, p = 0.022) and general communication (z = -4.12, df = 4, I² = 2, p = 0.001) However, results showed a limited effect of maternal diabetes on children's language abilities after excluding high-risk categories such as children born to mothers with other gestational comorbidities, obesity and low socio-economic status.

CONCLUSION

Our meta-analysis recognises that exposure to maternal diabetes during pregnancy intersects with other factors within the intrauterine environment to create the conditions for reduced language abilities in the child. Multiple factors may contribute to the observed differences between groups in the meta-analysis. A focus on interventions to maintain optimal blood glucose levels during pregnancy and to screen for early developmental delay after birth is recommended.

The long-term metabolic and neurocognitive risks in offspring of women with type 1 diabetes mellitus

AIMS

Previous studies have evaluated long-term metabolic and neurocognitive outcomes in offspring of women with diabetes. However, many studies did not differentiate between different types of diabetes. We aimed to specifically evaluate both metabolic and neurocognitive outcomes in offspring of women with type 1 diabetes mellitus (OT1D).

METHODS

We conducted an extensive literature search on PubMed between February 2020 and September 2020. We performed a scoping review including 12 retrospective cohort studies, 15 prospective cohort studies, one case-control study and one cross-sectional study, comparing long-term metabolic and neurocognitive outcomes between OT1D and a control group.

RESULTS

OT1D had a higher body mass index and an increased risk for overweight and obesity compared to offspring of mothers without diabetes. A limited number of studies showed a higher risk for (pre)diabetes, higher rates of non-alcoholic fatty liver disease and metabolic syndrome in OT1D. Index offspring had in general similar intelligence and academic achievement as control children but a higher risk for attention deficit and hyperactivity disorders. Data were conflicting concerning the increased risk for autism spectrum disorders. There is limited evidence suggesting that female offspring have more often unfavorable metabolic parameters, while male offspring are more at risk for hyperactivity/impulsivity.

CONCLUSION

Maternal type 1 diabetes mellitus is associated with an increased risk of several metabolic complications and neurobehavioral disorders in the offspring. Increased attention for long-term complications in this population is needed. Further research is needed to evaluate whether improved glycemic control in pregnancy can reduce these long-term complications.

Effects of Gestational Diabetes in Cognitive Behavior, Oxidative Stress and Metabolism on the Second-Generation Off-Spring of Rats

Gestational diabetes (GD) has a negative impact on neurodevelopment, resulting in cognitive and neurological deficiencies. Oxidative stress (OS) has been reported in the brain of the first-generation offspring of GD rats. OS has been strongly associated with neurodegenerative diseases. In this work, we determined the effect of GD on the cognitive behavior, oxidative stress and metabolism of second-generation offspring. GD was induced with streptozotocin (STZ) in pregnant rats to obtain first-generation offspring (F1), next female F1 rats were mated with control males to obtain second-generation offspring (F2). Two and six-month-old F2 males and females were employed. Anxious-type behavior, spatial learning and spatial working memory were evaluated. In cerebral cortex and hippocampus, the oxidative stress and serum biochemical parameters were measured. Male F2 GD offspring presented the highest level of anxiety-type behavior, whilst females had the lowest level of anxiety-type behavior at juvenile age. In short-term memory, adult females presented deficiencies. The offspring F2 GD females presented modifications in oxidative stress biomarkers in the cerebral cortex as lipid-peroxidation, oxidized glutathione and catalase activity. We also observed metabolic disturbances, particularly in the lipid and insulin levels of male and female F2 GD offspring. Our results suggest a transgenerational effect of GD on metabolism, anxiety-like behavior, and spatial working memory.

Environmental risk factors, protective factors, and peripheral biomarkers for ADHD: an umbrella review

BACKGROUND

Many potential environmental risk factors, environmental protective factors, and peripheral biomarkers for ADHD have been investigated, but the consistency and magnitude of their effects are unclear. We aimed to systematically appraise the published evidence of association between potential risk factors, protective factors, or peripheral biomarkers, and ADHD.

METHODS

In this umbrella review of meta-analyses, we searched PubMed including MEDLINE, Embase, and the Cochrane Database of Systematic Reviews, from database inception to Oct 31, 2019, and screened the references of relevant articles. We included systematic reviews that provided meta-analyses of observational studies that examined associations of potential environmental risk factors, environmental protective factors, or peripheral biomarkers with diagnosis of ADHD. We included meta-analyses that used categorical ADHD diagnosis criteria according to DSM, hyperkinetic disorder according to ICD, or criteria that were less rigorous than DSM or ICD, such as self-report. We excluded articles that did not examine environmental risk factors, environmental protective factors, or peripheral biomarkers of ADHD; articles that did not include a meta-analysis; and articles that did not present enough data for re-analysis. We excluded non-human studies, primary studies, genetic studies, and conference abstracts. We calculated summary effect estimates (odds ratio [OR], relative risk [RR], weighted mean difference [WMD], Cohen's d, and Hedges' g), 95% CI, heterogeneity I² statistic, 95% prediction interval, small study effects, and excess significance biases. We did analyses under credibility ceilings, and assessed the quality of the meta-analyses with AMSTAR 2 (A Measurement Tool to Assess Systematic Reviews 2). This study is registered with PROSPERO, number CRD42019145032.

FINDINGS

We identified 1839 articles, of which 35 were eligible for inclusion. These 35 articles yielded 63 meta-analyses encompassing 40 environmental risk factors and environmental protective factors (median cases 16 850, median population 91 954) and 23 peripheral biomarkers (median cases 175, median controls 187). Evidence of association was convincing (class I) for maternal pre-pregnancy obesity (OR 1·63, 95% CI 1·49 to 1·77), childhood eczema (1·31, 1·20 to 1·44), hypertensive disorders during pregnancy (1·29, 1·22 to 1·36), pre-eclampsia (1·28, 1·21 to 1·35), and maternal acetaminophen exposure during pregnancy (RR 1·25, 95% CI 1·17 to 1·34). Evidence of association was highly suggestive (class II) for maternal smoking during pregnancy (OR 1·6, 95% CI 1·45 to 1·76), childhood asthma (1·51, 1·4 to 1·63), maternal pre-pregnancy overweight (1·28, 1·21 to 1·35), and serum vitamin D (WMD -6·93, 95% CI -9·34 to -4·51).

INTERPRETATION

Maternal pre-pregnancy obesity and overweight; pre-eclampsia, hypertension, acetaminophen exposure, and smoking during pregnancy; and childhood atopic diseases were strongly associated with ADHD. Previous familial studies suggest that maternal pre-pregnancy obesity, overweight, and smoking during pregnancy are confounded by familial or genetic factors, and further high-quality studies are therefore required to establish causality.

FUNDING

None.

Current Resources for Evidence-Based Practice, September 2020

An extensive review of new resources to support the provision of evidence-based care for women and infants. The current column includes a discussion of “spin” in scientific reporting and its effect on summaries and syntheses of the literature and commentaries on reviews about early versus late amniotomy as part of labor induction protocols and the economic burden associated with maternal morbidity.

Sex differences in offspring neurodevelopment, cognitive performance and microglia morphology associated with maternal diabetes: Putative targets for insulin therapy

Diabetes during pregnancy has been shown to affect the central nervous system (CNS) of the offspring, resulting in short- and long-term adverse effects. Children of diabetic mothers are more likely to develop cognitive impairment, also having increased susceptibility to psychiatric disorders. Microglia, the immune cells of the CNS, work as sensors of environmental changes, namely metabolic challenges, as early as the intrauterine period. During this period, microglia is actively involved in processes of neurogenesis, synaptic pruning and detection of any environmental alteration that may impact brain development. The remarkable sex dimorphism in neurodevelopment, as well as sex differences in the morphology and immune function of microglia during development, led us to clarify if maternal diabetes affects specific behavioral traits and microglia morphology during infancy in a sex-specific manner. Another important goal of this study was to clarify if insulin, the gold standard treatment of diabetes during gestation, could prevent maternal diabetes-induced behavioral changes, as well as microglia morphology, also considering sex specificities. Other molecular and cellular players potentially involved in the link between changes in metabolism and behavior were also analyzed in the hippocampus, a brain region implicated in cognition and other behavioral outcomes. Diabetes during pregnancy globally delayed female and male offspring development and was associated with impairments in recognition memory, but only in female offspring. In line with these results, at early and late infancy, some molecular and cellular markers were altered in offspring hippocampus in a sex-specific manner. The strict control of glycemia by insulin during pregnancy prevented most of the negative effects induced by uncontrolled hyperglycemia. Notably, insulin administration to diabetic dams may also modulate offspring development in a way that differs from what is observed in physiological conditions, since it promoted the expedited acquisition of developmental milestones and of discrimination ability at memory test, also inducing a hyper-ramification of male and female hippocampal microglia. Importantly, this study highlights the importance of analyzing the impact of maternal diabetes and insulin therapy, taking into account sex differences, since male and female present different vulnerabilities to hyperglycemia in this critical period of life.