Association Between Gestational Weight Gain and Autism Spectrum Disorder in Offspring: A Meta-Analysis

Proposed Physiological Mechanisms Underlying the Association between Adverse Childhood Experiences and Mental Health Conditions: A Narrative Review

Adverse childhood experiences (ACEs; e.g., physical abuse) can impact lifelong mental health both directly and intergenerationally, with effects transmitted from the parent to the child. Several physiological mechanisms have been proposed to explain the impacts of ACEs on mental health. The purpose of this narrative review was to synthesize and critique the peer-reviewed literature on physiological mechanisms proposed to underlie the impacts of ACEs on mental health, specifically: (1) hypothalamic-pituitary-adrenal axis functioning, (2) inflammation, (3) genetic inheritance and differential susceptibility, (4) epigenetics, (5) brain structure and function, (6) oxidative stress, and (7) metabolic profiles. We searched Google Scholar using variations of the terms "adverse childhood experiences", "mechanisms", and "mental health" to locate relevant peer-reviewed literature. We also mined citations of the identified literature to find additional important sources. The role of inflammation in the etiology of mental health conditions among those exposed to ACEs appeared promising, followed by hypothalamic-pituitary-adrenal axis functioning, brain structure and function, genetics, epigenetics, metabolism, and lastly, oxidative stress. Replication studies that examine the associations among ACEs, genetic inheritance and differential susceptibility, epigenetics, oxidative stress, and metabolism are required to better define links with mental health.

Prenatal Programming of Monocyte Chemotactic Protein-1 Signaling in Autism Susceptibility

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that involves functional and structural defects in selective central nervous system (CNS) regions, harming the individual capability to process and respond to external stimuli, including impaired verbal and non-verbal communications. Etiological causes of ASD have not been fully clarified; however, prenatal activation of the innate immune system by external stimuli might infiltrate peripheral immune cells into the fetal CNS and activate cytokine secretion by microglia and astrocytes. For instance, genomic and postmortem histological analysis has identified proinflammatory gene signatures, microglia-related expressed genes, and neuroinflammatory markers in the brain during ASD diagnosis. Active neuroinflammation might also occur during the developmental stage, promoting the establishment of a defective brain connectome and increasing susceptibility to ASD after birth. While still under investigation, we tested the hypothesis whether the monocyte chemoattractant protein-1 (MCP-1) signaling is prenatally programmed to favor peripheral immune cell infiltration and activate microglia into the fetal CNS, setting susceptibility to autism-like behavior. In this review, we will comprehensively provide the current understanding of the prenatal activation of MCP-1 signaling by external stimuli during the developmental stage as a new selective node to promote neuroinflammation, brain structural alterations, and behavioral defects associated to ASD diagnosis.

The impact of excessive maternal weight on the risk of neuropsychiatric disorders in offspring-a narrative review of clinical studies

The global prevalence of overweight and obesity is a significant public health concern that also largely affects women of childbearing age. Human epidemiological studies indicate that prenatal exposure to excessive maternal weight or excessive gestational weight gain is linked to various neurodevelopmental disorders in children, including attention deficit hyperactivity disorder, autism spectrum disorder, internalizing and externalizing problems, schizophrenia, and cognitive/intellectual impairment. Considering that inadequate maternal body mass can induce serious disorders in offspring, it is important to increase efforts to prevent such outcomes. In this paper, we review human studies linking excessive maternal weight and the occurrence of mental disorders in children.

Maternal gestational weight gain and offspring's neurodevelopmental outcomes: A systematic review and meta-analysis

Abnormal gestational weight gain (GWG) has been increasing globally, up to 47% of all pregnancies. Multiple studies have focused on the association between GWG and adverse neurodevelopmental outcomes in the offspring, however with inconsistent results. We performed a systematic review and meta-analysis to evaluate associations between excessive or insufficient GWG and offspring's neurodevelopmental outcomes. Meta-analysis of these 23 studies using a random-effects model revealed associations between excessive GWG and neurodevelopmental disorders (ASD & ID & ADHD together: OR=1.12 [95% CI 1.06-1.19]), ASD (OR=1.18 [95% CI 1.08-1.29]), ADHD (OR=1.08 [95% CI 1.02-1.14]), ASD with ID (OR=1.15 [95% CI 1.01-1.32]), and ASD without ID (OR=1.12 [95% CI 1.06-1.19]). Insufficient GWG was associated with higher risk for ID (OR=1.14 [95% CI 1.03-1.26]). These results emphasize the significant impact, though of small effect size, of GWG across multiple neurodevelopmental disorders. It is important to note that these results do not establish causality. Other factors such as genetic factors, gene-environment interactions may confound the relationship between GWG and neurodevelopmental outcomes. To better understand the role of GWG in neurodevelopmental disorders, future studies should consider using genetically sensitive designs that can account for these potential confounders.

Prepregnancy BMI, gestational weight gain, and susceptibility to autism-related traits: the EARLI and HOME studies

OBJECTIVE

Excessive gestational weight gain (GWG) has been associated with autism spectrum disorder (ASD). This study sought to examine whether familial susceptibility for autism, intensity of ASD-related behaviors, or prepregnancy BMI influences the association of GWG with ASD-related behaviors.

METHODS

Using data from the Early Autism Risk Longitudinal Investigation (EARLI) study (n = 136), a familial enriched cohort of mothers who had a previous child with ASD, and the Health Outcomes and Measures of the Environment (HOME) study (n = 253), a general population cohort, gestational age and prepregnancy BMI category-specific GWG z scores were calculated. Caregivers completed the Social Responsiveness Scale (SRS) to assess the presence and severity of ASD-related traits in children aged 3 to 8 years. Using quantile regression, the association between GWG z scores and ASD-related behaviors in children was estimated.

RESULTS

In HOME, among mothers who had overweight or obesity prepregnancy BMI values, GWG z scores and SRS scores were positively associated in children with more ASD-related traits (higher SRS scores), but not in children with fewer ASD-related traits. Similar patterns were observed in EARLI among mothers with prepregnancy obesity.

CONCLUSIONS

GWG may be associated with autism-related behaviors among children who have a greater predisposition to these behaviors and who have mothers with prepregnancy overweight or obesity.

Maternal Body Mass Index, Gestational Weight Gain, and Risk of Cancer in Offspring: A Systematic Review and Meta-Analysis

Background: Mounting evidence suggests that maternal obesity and gestational weight gain (GWG) may increase the risk of cancer in their offspring; however, results are inconsistent. The purpose of this research is to determine the association between maternal body mass index (BMI) and GWG and the risk of cancer in offspring through a systematic and comprehensive meta-analysis. Methods: A systematic literature search of several databases was conducted on 1 October 2022 to identify relevant studies. The quality of the included studies was evaluated using the Newcastle-Ottawa scale. The overall risk estimates were pooled using a random-effects meta-analysis. Results: Twenty-two studies with more than 8 million participants were included. An increased risk of total cancer was found in offspring whose mothers had a high GWG (odds ratio [OR]: 1.10; 95% CI: 1.01-1.19; p: 0.040) but not in offspring whose mothers had a low GWG (OR: 1.06; 95% CI: 0.96-1.17; p: 0.030), when compared with offspring whose mothers had a suitable GWG. In addition, no statistically significant association was found between maternal underweight (OR: 1.05; 95% CI: 0.97-1.13; p: 0.630), overweight/obesity (OR: 1.07; 95% CI: 0.99-1.16; p: 0.020), and risk of total cancer in offspring. Conclusions: Our study proposes evidence that maternal BMI and GWG may be associated with the risk of cancer in offspring, although statistical significance was found only for high GWG. Further well-designed research is required to clarify the potential relevance of maternal BMI and GWG on offspring cancer, especially for specific cancers.

Rates of maternal weight gain over the course of pregnancy and offspring risk of neurodevelopmental disorders

Background

Previous studies have suggested that gestational weight gain (GWG) outside an optimal range increases the risks of neurodevelopmental disorders (NDDs) in offspring including autism spectrum disorder (ASD), intellectual disability (ID), and attention deficit/hyperactivity disorder (ADHD). The sequential development of the fetal brain suggests that its vulnerability may vary depending on the timing of exposure. Therefore, we aimed to investigate the associations of not only gestational age-standardized total GWG (GWG z-scores) but also the rate of GWG (RGWG) in the second and third trimesters with risks of NDDs in offspring.

Methods

In this population-based cohort study, we used maternal weight data from antenatal care records collected for 57,822 children born to 53,516 mothers between 2007 and 2010 in the Stockholm Youth Cohort. Children were followed from 2 years of age to December 31, 2016. GWG z-scores and RGWG (kg/week) in the second and third trimesters were considered as continuous variables in cox regression models, clustered on maternal identification numbers. Nonlinear relationships were accommodated using restricted cubic splines with 3 knots. RGWG were also categorized according to the 2009 US Institute of Medicine (IOM) guidelines for optimal GWG. According to the IOM guidelines, the optimal rate of GWG for the second and third trimesters for underweight, normal weight, overweight, and obese categories were 0.44–0.58, 0.35–0.50, 0.23–0.33, and 0.17–0.27 kg/week, respectively.

Results

During a mean follow-up of 5.4 years (until children were on average 7.4 years old), 2205 (3.8%) children were diagnosed with NDDs, of which 1119 (1.9%) received a diagnosis of ASD, 1353 (2.3%) ADHD, and 270 (0.5%) ID. We observed a J-shaped association between total GWG z-score and offspring risk of NDDs, with higher total GWG (GWG z-score = 2) associated with 19% increased risk of any NDD (95% CI = 3–37%) and lower total GWG (GWG z-score = − 2) associated with 12% increased risk of any NDDs (95% CI = 2–23%), compared to the reference (GWG z-score = 0). In the second trimester, lower RGWG (0.25 kg/week) was associated with a 9% increased risk of any NDD diagnosis (95% CI = 4–15%) compared to the median of 0.57 kg/week, with no apparent relationship between higher RGWG and risk of NDDs. In the third trimester, there was no apparent association between lower RGWG and risk of NDDs, though higher RGWG (1 kg/week) was associated with a 28% increased risk of NDD diagnosis (95% CI = 16–40%), compared to the median (0.51 kg/week). When considering categorized RGWG, we found that slow weight gain in the second trimester followed by rapid weight gain in the third trimester most significantly increased the risk of ADHD (HR_adjusted = 1.55, 1.13–2.13) and ID (HR_adjusted = 2.53, 1.15–5.55) in offspring. The main limitations of our study are the relatively few years for which detailed GWG data were available and the relatively short follow-up for the outcomes, limiting power to detect associations and misclassifying children who receive an NDD diagnosis later in childhood.

Conclusions

The relationship between maternal weight gain and children’s risk of NDDs varied according to timing in pregnancy, with the greatest risks associated with slow weight gain in the second trimester and rapid weight gain in the third trimester.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12916-023-02799-6.

Artificial neural networks reveal sex differences in gene methylation, and connections between maternal risk factors and symptom severity in autism spectrum disorder

Aim and methods: Artificial neural networks were used to unravel connections among blood gene methylation levels, sex, maternal risk factors and symptom severity evaluated using the Autism Diagnostic Observation Schedule 2 (ADOS-2) score in 58 children with autism spectrum disorder (ASD). Results: Methylation levels of MECP2, HTR1A and OXTR genes were connected to females, and those of EN2, BCL2 and RELN genes to males. High gestational weight gain, lack of folic acid supplements, advanced maternal age, preterm birth, low birthweight and living in rural context were the best predictors of a high ADOS-2 score. Conclusion: Artificial neural networks revealed links among ASD maternal risk factors, symptom severity, gene methylation levels and sex differences in methylation that warrant further investigation in ASD.

Obesity and its associated factors among older adults: MyHEBAT (alasian alth and Well-eing ssessmen) study

Background

Despite being a preventable disease, the prevalence of obesity is rising progressively worldwide. However, the prevalence of obesity and its associated factors among older adults remains unclear in Malaysia. The aim of this study was to determine the prevalence of obesity and its associated factors among older adults who voluntarily attended the health screening programs, which were part of the Malaysian HEalth and Well-Being AssessmenT (My-HEBAT) Study.

Methods

Cross-sectional study was conducted among Malaysian adults, aged ≥60 years. A standardized self-administered questionnaire was used to gather information regarding socio-demographic status, personal, family and medical history. Anthropometric indices, blood pressure and physical examinations were conducted on site. Venous blood samples were collected for lipid profile and blood glucose analysis. Participants with BMI of ≥30 kg/m2 or < 30kg/m2 were classified as obese or non-obese respectively. Age was categorized into three subgroups: 60-69, 70-79, and ≥80 years old. The factors associated with obesity among older adults were then identified using multiple logistic regression.

Results

A total of 716 older adults aged ≥60 years (mean ± SD: 66.6 ± 6.0 years) were recruited. The prevalence of obesity among older adults was 15.8%, while higher prevalence was found among females (42.9%) compared to males (38.3%). The prevalence of obesity decreased with increasing age (48.5% in 60-69 years, 20.8% in 70-79 years, and 11.8% in ≥80 years).

Conclusion

The prevalence of obesity among Malaysian population is higher than that of worldwide prevalence. Current national health promotion and educational programs should focus on identifying factors associated with obesity, and promotion of healthy lifestyle with obesity should be improved and modified, particularly for older adults in Malaysia.