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

Understanding autism: Causes, diagnosis, and advancing therapies

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by difficulties in social communication, languages, and repetitive behaviors. Its rising prevalence has made it a critical global public health issue. ASD is believed to arise from a combination of genetic and environmental influences. While some gene mutations associated with ASD have been identified, most cases lack clear genetic explanations. Evidence increasingly points to early-life environmental factors as key contributors to ASD, including advanced parental age, maternal diabetes during pregnancy, infections, hormonal imbalances, certain medications, and exposure to air pollution. Currently, ASD diagnosis relies on behavioral assessments, but the absence of specific molecular biomarkers poses significant obstacles to early detection and targeted therapies. Encouragingly, research has identified potential biomarkers, such as neuroimaging classifiers, electroencephalography patterns, eye-tracking data, digital analytics, gene expression profiles, inflammatory and chemokine markers, proteomic and metabolomic profiles, and gut microbiota characteristics. Potential therapeutical strategies under investigation include digital therapies, non-invasive brain stimulation, antioxidants, oxytocin, AVPR1a antagonists, PPAR agonists, and mTOR inhibitors. This review explores ASD across five areas: epidemiological trends, genetic mechanisms, early-life environmental factors and their potential roles, diagnostic biomarkers, and therapeutic approaches.

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.

Gestational and Early Childhood Exposure to Barium and Cardiometabolic Risk in Preschoolers: Findings From the Ma'anshan Birth Cohort Study in China

BACKGROUND

Animal studies suggest cardiovascular systems may be primary targets for barium toxicity. This study aims to examine longitudinal associations of prenatal and early childhood barium exposure with cardiometabolic risk (CMR) in preschoolers.

METHODS AND RESULTS

We determined serum or plasma barium concentrations during 3 trimesters, delivery, and early childhood (5 years) from 2291 mother-child dyads within the Ma'anshan Birth Cohort. CMR scores were calculated by summing standardized z scores for glucose, insulin, triglycerides, waist circumference, mean of blood pressure, and high-density lipoprotein cholesterol among 5-year-old children. We employed multiple linear regression and multiple informant models to investigate whole pregnancy and stage-specific associations of barium exposure with CMR scores and individual components and the modifying effects of sex. The ranges of log10-transformed barium from the first trimester to early childhood were 3.39 to 4.61 ng/L. Barium during the whole pregnancy showed positive associations with CMR scores, glucose, and triglycerides and negative association with high-density lipoprotein cholesterol. These significant relationships of barium with CMR scores were mainly manifested in the second and third trimesters. Positive associations were observed between barium during the second and third trimesters and CMR scores, glucose, triglycerides, and negatively associated with high-density lipoprotein cholesterol among boys. In girls, positive associations of barium during the third trimester with CMR scores, glucose, and triglycerides and a negative association with high-density lipoprotein cholesterol were detected.

CONCLUSIONS

Barium exposure during pregnancy, especially during the second and third trimesters, may increase CMR in preschoolers. Boys are more vulnerable than girls. These findings support the need for reductions in barium exposure during pregnancy.

Cardiac Manifestations in Children of Diabetic Mothers and Fathers

Diabetic individuals of reproductive age face higher risks of poor pregnancy outcomes and abnormal fetal development. Approximately 4.5% of women of reproductive age have diabetes, with non-Hispanic Black women having the highest prevalence of 15%. Research on the impact of paternal diabetes on offspring cardiac anomalies is limited, but it may interact with metabolic syndrome to increase long-term health risks. Infants of diabetic parents are more likely to develop cyanotic and acyanotic heart defects, hypertrophic cardiomyopathy, and subsequently other cardiovascular issues. Fetal hyperinsulinemia, caused by maternal hyperglycemia, contributes to these conditions through oxidative stress, impaired heart development, and cardiac remodeling. Long-term risks include diabetes, arrhythmias, pulmonary hypertension, heart failure, and early-onset cardiovascular disease. Treatment options are limited, often requiring surgery for severe conditions. Prevention focuses on tight glycemic control, a balanced diet, avoiding teratogens (nicotine, alcohol, or drugs), and using technology like continuous glucose monitors and insulin pumps, along with pregnancy screening and monitoring protocols. Understanding the effects of parental diabetes on offspring's cardiac health is crucial for early intervention, prevention, and improved maternal-fetal care, ultimately reducing the burden of congenital heart defects and long-term cardiovascular complications.

Gestational hyperglycaemia impacts glucose control and insulin sensitivity in mouse offspring

Gestational diabetes mellitus (GDM) predisposes offspring to the development of obesity and type 2 diabetes. While GDM is studied in the context of maternal obesity and insulin resistance, the consequences of GDM in lean, insulin sensitive women for offspring health are unclear. This preclinical study investigated whether GDM in lean dams characterized by reduced insulin secretion affects offspring metabolic health. Lean GDM was induced by short-term 60% high-fat diet and low-dose streptozotocin injections before mating in mice. The control dams received only high-fat diet (HF) or low-fat diet (LF). Glucose homeostasis was studied in chow-fed offspring. GDM resulted in decreased birth weight, that resolved at postnatal day 15 (PN15). At PN100, higher postprandial glucose responses were found in GDM offspring, while insulin secretion was lower in both GDM and HF offspring. Female GDM offspring showed lower endogenous glucose production and increased liver insulin sensitivity at PN100 compared to controls. No differences in metabolic parameters were observed at PN200 and PN300. Prenatal exposure to elevated maternal glucose levels without maternal obesity modestly affected glucose regulation in mouse offspring during early adulthood. Future studies should clarify if a less favourable postnatal diet may further challenge metabolic health in offspring of GDM dams.

Multi-omics architecture of childhood obesity and metabolic dysfunction uncovers biological pathways and prenatal determinants

Childhood obesity poses a significant public health challenge, yet the molecular intricacies underlying its pathobiology remain elusive. Leveraging extensive multi-omics profiling (methylome, miRNome, transcriptome, proteins and metabolites) and a rich phenotypic characterization across two parts of Europe within the population-based Human Early Life Exposome project, we unravel the molecular landscape of childhood obesity and associated metabolic dysfunction. Our integrative analysis uncovers three clusters of children defined by specific multi-omics profiles, one of which characterized not only by higher adiposity but also by a high degree of metabolic complications. This high-risk cluster exhibits a complex interplay across many biological pathways, predominantly underscored by inflammation-related cascades. Further, by incorporating comprehensive information from the environmental risk-scape of the critical pregnancy period, we identify pre-pregnancy body mass index and environmental pollutants like perfluorooctanoate and mercury as important determinants of the high-risk cluster. Overall, our work helps to identify potential risk factors for prevention and intervention strategies early in the life course aimed at mitigating obesity and its long-term health consequences.

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.

Mommy's microbes: Gestational diabetes mellitus shapes the maternal and infant gut microbiome

Gestational diabetes mellitus (GDM) is associated with increased risk of metabolic and neurodevelopmental disorders in offspring. In this issue of Cell Host & Microbe, Wang et al. provide evidence that changes in the gut microbiome of mothers with GDM may lead to dysbiosis in their infants and altered development in a sex-dependent manner.