Vitamin D Receptor Polymorphisms Associated with Autism Spectrum Disorder.

Background: Electronic screen media play an increasingly vital role in children's entertainment; however, excessive screen time may negatively influence child development. The purpose of this study was to investigate the relationship between the screen time of children with autism spectrum disorder (ASD) and their autistic symptoms and development quotients (DQs).Methods: We compared the screen time of 101 children with ASD and 57 typically developing (TD) children. Then, we performed a correlation analysis to determine the correlations between the screen time and the ASD-related scale scores and developmental quotients of the Gesell Developmental Schedules (GDS) of ASD children. We further divided the ASD group into subgroups according to the screen time and age and then separately conducted the above correlation analyses by subgroup.Result: The results showed that the screen time of the children with ASD was longer than that of the TD children (3.34 ± 2.64 h vs. 0.91 ± 0.93 h). The screen time of the children with ASD was positively correlated with the Childhood Autism Rating Scale (CARS) score (r = 0.242, P = 0.021) and “taste, smell and touch” item of CARS(r = 0.304, P = 0.005), and negatively correlated with the language DQ of the GDS (r = −0.236, P = 0.047). The subgroup analysis showed that in the longer screen time subgroup of ASD children, the screen time was positively correlated with the CARS score (r = 0.355, P = 0.026) and negatively correlated with the DQs of all domains of the GDS (P < 0.05). In addition, in the younger age group of ASD children, the screen time was positively correlated with the CARS score (r = 0.314, P = 0.021) and negatively correlated with the DQs of all domains of the GDS, except for the personal-social behavior domain (P < 0.05).Conclusion: Compared with TD children, children with ASD have a longer screen time. The screen time is related to autism-like symptoms and the DQs of children with ASD. The longer the screen time, the more severe the symptoms of ASD (especially sensory symptoms), and the more obvious the developmental delay, especially in ASD children with a longer screen time and younger age, particularly in the language domain.

Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Folate has been demonstrated to be associated with ASD. However, current studies on the correlation between folate and symptoms of children with ASD have inconsistent conclusions, use mainly small samples, and lack age-stratified analysis. This study aimed to explore the association between serum folate and symptoms of autistic children at different age groups from a multi-center perspective.Methods: We enrolled 1,300 children with ASD and 1,246 typically developing (TD) children under 7 years old from 13 cities in China. The Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood autism rating scale (CARS) were used to evaluate the symptoms of children with ASD. China neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016) scale was used to evaluate the neurodevelopment of children with ASD. Serum folate was measured by chemiluminescence assay in the two groups.Results: The serum folate levels of children with ASD were lower than that of TD children. In terms of core symptoms of ASD, we found that the serum folate levels were not associated with ABC, SRS, and CARS scores in ASD children of all ages but negatively associated with communication warning behavior scores of CNBS-R2016 in ASD children aged three and under. Concerning development quotients, it was at the age of three and under that serum folate levels were positively associated with gross motor, fine motor, language, and general quotient of ASD children. These ASD children aged three and under were further divided into two groups according to the median of serum folate (14.33 ng/mL); we found that compared to ASD children with folate ≤ 14.33 ng/mL, those with folate >14.33 ng/mL had lower communication warning behavior score and higher gross motor, fine motor, adaptive behavior, language, person-social, and general development quotients.Conclusion: We found that serum folate status was primarily associated with the neurodevelopment of children with ASD aged three and under. Furthermore, relatively higher serum folate levels may be more beneficial for children with ASD. Our results suggest that folate level should be paid more attention in ASD children, especially in early life, to better promote the intervention of ASD children.

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The results of the last 5 meta-analyses of randomized controlled clinical trials indicate an association between genetically determined deficiency of folate cycle enzyme (GDFC) and autism spectrum disorders (ASD) in children, however, the mechanism of this relationship, as well as the association with additional clinical manifestations of a broad disease phenotype, has not yet been fully explained. Since there are frequent reports of the association of ASD with immunodeficiency diseases and signs of immune dysregulation, and immune-dependent mechanisms of CNS damage in children with ASD have been described, including opportunistic infections, cerebral autoimmunity, and intracerebral inflammation, there is reason to assume that impaired immune status is a key link in the pathogenesis of ASD in children with GDFC. Indeed, there is now accumulating evidence that the immune system plays an important role in brain development, participating in the regulation of neuronal proliferation and synapse formation, as well as influencing neuroplasticity processes, so disruption of its functioning may be important in the formation of encephalopathy in children with ASD.

This chapter explains the goals and techniques used in floor-time play therapy and how such goals and techniques serve to help the holistic development of Autism Spectrum Disorder (ASD) children. ASD children are often fixated on sensorial and repetitive play. Children diagnosed with ASD show specific traits in their play. Based on clinical observation, the most noticeable quality seen in ASD children's play is its lack of imagination and creativity and its repetitive nature. ASD children also have less variety in functional play, showing more repetition. ASD children play with their toys in a very rigid manner. They lack pretend and imaginative play. Sensory motor play will dominate the ASD child's play, and hinder him or her from engaging in symbolic play. Children with ASD show abnormalities in the first stage of play, which often produce developmental delays in the other phases. The adult interacting with the ASD child can be a therapist, a caregiver, or another significant adult.

Advanced parental age has been associated with autism spectrum disorders (ASDs) in children. However, little is known about the association between grandparental age at the time of birth of the parent and the risk of ASD in the grandchildren. To estimate the associations between parental and grandparental age and ASD risk in children. This population-based, multigenerational cohort study used data from Danish national health registries. A parental age cohort was constructed to evaluate the association between parental age and ASD in 1 476 783 singleton children born from 1990 to 2013, and a multigenerational cohort was also constructed including 362 438 fathers and 458 234 mothers born from 1973 to 1990 for whom information on grandparental age was available. Data analyses were conducted from November 1, 2018, through February 7, 2020. Parental age at childbirth and grandparental age at the time of the birth of the parent. Diagnoses of ASD in children were obtained from the Danish Psychiatric Central Register (1994-2017). Logistic regression analysis was used to estimate the associations between parental or grandparental age and ASD in children. Of the 1 476 783 children born from 1990 to 2013, 758 066 (51.3%) were male, and 27 616 (1.9%) had ASD (20 467 [74.1%] were male). Advanced paternal or maternal age over 30 years was monotonically associated with increased ASD risk, with odds ratios (ORs) of 1.56 (95% CI, 1.45-1.68) for maternal age 40 years and older and 1.57 (95% CI, 1.39-1.78) for paternal age 50 years and older, compared with parents aged 25 to 29 years. In the multigenerational cohort, 9364 grandchildren (1.7%) had ASD. This study found U-shaped associations, in that ASD risk was higher among grandchildren of younger (≤19 years) maternal grandmothers (OR, 1.68; 95% CI, 1.52-1.85), younger maternal grandfathers (OR, 1.50; 95% CI, 1.26-1.78), and younger paternal grandmothers (OR, 1.18; 95% CI, 1.04-1.34), and older (≥40 years) paternal grandmothers (OR, 1.40; 95% CI, 1.03-1.90) compared with the grandchildren of grandparents who were aged 25 to 29 years at the time of giving birth to the parents. These findings corroborate previous studies suggesting that advanced parental age is independently associated with increased ASD risk in children. This study also found that children with young maternal grandparents and children with young and old paternal grandparents had elevated ASD risk. Possible transmission of ASD risk across generations should be considered in etiological research on ASD.

Relationship between vitamin D receptor (VDR) gene polymorphism and the risk of renal cell carcinoma from the published reports are still conflicting. This study was conducted to evaluate the relationship between VDR ApaI (rs7975232), BsmI (rs1544410), TaqI (rs731236), and Fok1 (rs2228570) gene polymorphism and the risk of renal cell carcinoma using meta-analysis method. The association studies were identified from PubMed, and Cochrane Library on 1 March 2014, and eligible investigations were included and synthesized using meta-analysis method. Five reports were recruited into this meta-analysis for the association of VDR gene polymorphism with renal cell carcinoma susceptibility. In this meta-analysis, the ApaI AA genotype, BsmI BB genotype, Fok1 f allele, and Fok1 FF genotype were associated with the risk of renal cell carcinoma in Asians. However, VDR ApaI, BsmI, TaqI, and Fok1 gene polymorphism were not associated with the risk of renal cell carcinoma in overall populations and in Caucasians. In conclusion, the ApaI AA genotype, BsmI BB genotype, Fok1 f allele, and Fok1 FF genotype were associated with the risk of renal cell carcinoma in Asians. However, more studies should be conducted to confirm it.

Parents with autism spectrum disorder (ASD) children generally suffer from poor coping and an impaired quality of life (QoL). This systematic review investigates parenting stress, positive reappraisal coping, and QoL in parents with ASD children. A literature search was carried out for publications written in English on the selected investigation topics using five databases, namely, Scopus, PubMed, Wiley, ScienceDirect Online, and EBSCO. Only studies investigating or measuring parenting stress, positive reappraisal coping, and QoL in ASD were included. Our results indicate that parents with ASD children have high stress levels. This is associated with the ineffective use of coping strategies and a low QoL. Adaptive coping strategies are related to a higher QoL, whereas maladaptive coping techniques are related to a worse QoL. Positive reappraisal coping is negatively correlated to meaningfulness, and it is used by parents to change their daily routines in order to motivate themselves towards new and evolving goals in life. Finally, we found a significant negative correlation between parenting stress, positive reappraisal coping, and the QoL of parents with ASD children. Positive reappraisal coping as a strategy helps parents adapt to stress and was found to be a potential mediatory function between parental stress and QoL.

This study prospectively assessed whether positive screening surveys for autism spectrum disorders (ASDs) in children with functional defecation disorders (FDDs) accurately identify ASD. Parents of children (4–12 years) who met Rome III criteria for functional constipation (FC), FC with fecal incontinence (FI) and functional nonretentive FI (FNRFI) completed two ASD screening surveys. Children with positive screens were referred for psychological evaluation, and a year later, follow-up surveys were conducted. Of the 97 study participants, 30.9 % were diagnosed with FC, 62.9 % with FC with FI, and 6.2 % with FNRFI. ASD surveys were positive for 27 children (27.8 %). New DSM diagnoses were made in 10 out of the 15 children that completed further evaluation. Two (2.1 %) met criteria for ASD, and 12 (12.4 %) met criteria for other behavioral disorders. Average SRS and SCQ-L scores were higher in subjects with FC with FI as compared to FC alone and in those who reported no improvement versus those who reported improvement 1 year later.Conclusion: While positive ASD screening surveys did not correctly identify ASD in the majority, it did help to identify other unrecognized behavioral disorders in children with FDD. High screening scores were more common in children with FC with FI and in children with poorer responses to current medical treatments.What is Known:•A prior study found that 29 % of children with FDD scored positive on ASD screening questionnaires.•Whether positive screens correctly identify ASD in children with FDD is unknown.What is New:•This study shows that positive ASD screens do not correctly identify ASD in children with FDD. However, the use of ASD screening questionnaires can identify previously unrecognized and untreated behavioral/developmental disorders in children with FDD.•High screening scores are more common in children with FC with FI and in children with poorer responses to current medical treatments.

With estimates of prevalence between 1 in 68 and 1 in 88 children [11], accurate and early identification of autism spectrum disorders (ASDs) in young children remains a pressing public health issue. In the absence of a single biomarker for ASD, however, a diagnosis is currently reached on the basis of a portfolio of evidence assembled by various health care professionals, parents and educational specialists. Studies have shown that early diagnosis and subsequent intervention are key to a favourable prognosis for children with autism. Many families, however, experience long periods of time between appointments with health care professionals, thus delaying the diagnosis and subsequent access to support and interventions. In this paper, we consider the potential role of m-health software solutions in supporting the diagnosis and ongoing monitoring of ASDs in young children. We consider their application particularly within the context of the UK’s National Health Service. This paper also presents a review of some of the current literature on user-behaviour analysis software on mobile computing devices such as tablet computers and smartphones, along with some of the emerging m-health solutions for supporting the diagnosis of ASD in children.

Early diagnosis and intervention in children with autism spectrum disorder (ASD) is crucial. At present, diagnosis of ASD is primarily based on subjective tools. Identifying metabolic biomarkers will aid in early diagnosis of ASD complementing the assessment tools. The study aimed to conduct targeted metabolomic analysis and determine the plasma metabolites that can discriminate children with ASD from typically developing children (TD), and to determine the utility of machine learning in classifying ASD children based on the metabotypes. This was a multi-centric, analytical, case-control study conducted between April 2021-April 2023. Fasting plasma samples were obtained from seventy ASD and fifty-eight TD children, aged 2 to 12 years. Samples were quantitively analysed for 52 targeted metabolites (13 amino acids, 37 acylcarnitines, adenosine and 2-deoxyadenosine levels) using tandem mass spectrometry. An in-depth statistical analysis was performed. A total of 26 metabolites (11 amino acids, 14 acyl carnitines and adenosine) were found to be significantly (p < 0.005) different between ASD and TD children. Adenosine and amino acid levels were significantly decreased in ASD children. Among acyl carnitines, short- and long-chain acyl carnitine levels were significantly decreased, while medium-chain acyl carnitine levels were significantly increased in ASD children. Octenoylcarnitine-C8:1 (Cut-off value- 0.025 mmol/L, AUC- 0.683) and adenosine (Cut-off value- 0.025 mmol/L, AUC- 0.673) were found to predict children with ASD at a sensitivity of 55.7% and 57.1%, specificity of 79.3% and 72.4% respectively. Based on the metabolites, machine learning models like Support Vector Machine (SVM) and Random Forest (RF) were able to discriminate ASD from TD children with the classification accuracy score being highest in RF (79.487%, AUC- 0.800). Significant abnormalities in plasma metabolites were observed leading to disturbances in the Krebs cycle, urea cycle and fatty acid oxidation, suggesting mitochondrial dysfunction that may possibly contribute in the pathobiology of ASD. Octenoylcarnitine-C8:1 and Adenosine may serve as potential metabolic biomarkers for ASD.

Autism spectrum disorder is a neurodevelopmental disorder characterized by difficulties in social communication and interaction, as well as repetitive and characteristic patterns of behaviour. Although the pathogenesis of autism spectrum disorder is unknown, being overweight or obesity during infancy and low weight at birth are known as risks, suggesting a metabolic aspect. In this study, we investigated adipose tissue development as a pathophysiological factor of autism spectrum disorder by examining the serum levels of adipokines and other metabolic markers in autism spectrum disorder children (n = 123) and typically developing children (n = 92) at 4–12 years of age. Among multiple measures exhibiting age-dependent trajectories, the leptin levels displayed different trajectory patterns between autism spectrum disorder and typically developing children, supporting an adipose tissue-dependent mechanism of autism spectrum disorder. Of particular interest, the levels of fatty acid binding protein 4 (FABP4) were significantly lower in autism spectrum disorder children than in typically developing subjects, at preschool age (4–6 years old: n = 21 for autism spectrum disorder and n = 26 for typically developing). The receiver operating characteristic curve analysis discriminated autism spectrum disorder children from typically developing children with a sensitivity of 94.4% and a specificity of 75.0%. We re-sequenced the exons of the FABP4 gene in a Japanese cohort comprising 659 autism spectrum disorder and 1000 control samples, and identified two rare functional variants in the autism spectrum disorder group. The Trp98Stop, one of the two variants, was transmitted to the proband from his mother with a history of depression. The disruption of the Fabp4 gene in mice evoked autism spectrum disorder-like behavioural phenotypes and increased spine density on apical dendrites of pyramidal neurons, which has been observed in the postmortem brains of autism spectrum disorder subjects. The Fabp4 knockout mice had an altered fatty acid composition in the cortex. Collectively, these results suggest that an ‘adipo-brain axis’ may underlie the pathophysiology of autism spectrum disorder, with FABP4 as a potential molecule for use as a biomarker.

The purpose of this study was to investigate the expression of miR-499a-5p in children with autism spectrum disorders (ASD) and its value in early diagnosis of ASD. This is a retrospective case-control study that included 40 children with ASD as a case group and 43 healthy children as a control group. Magnetic resonance imaging (MRI) was performed on all subjects, and the children were scored with childhood autism rating scale (CARS) and autism behavior checklist (ABC). The expression of miR-499a-5p in serum was detected by RT-qPCR, and the diagnostic value of miR-499a-5p in ASD was evaluated by ROC curve. Pearson correlation coefficient was used to evaluate the correlation between miR-499a-5p levels and scores. Compared with healthy children, the expression level of serum miR-499a-5p was significantly reduced in children with ASD. ROC curve showed that miR-499a-5p is of high diagnostic value for ASD. The results of MRI suggested that the volume of the amygdala in ASD children was significantly larger than that in healthy children, while the volume of the caudate nucleus was significantly reduced. Correlation results showed that the scores of CARS and ABC in the ASD group were significantly negatively correlated with the levels of miR-499a-5p. In the ASD group, the volume of the amygdala was negatively correlated with the level of miR-499a-5p, while the volume of the caudate nucleus was positively correlated with the level of miR-499a-5p. The decreased expression of miR-499a-5p in the serum of children with ASD was significantly related to the changes in brain volume of children with ASD, and the miRNA showed good diagnostic accuracy in children with ASD.

Previous studies have found that Autism Spectrum Disorder (ASD) children scored lower during a Go/No-Go task and faced difficulty focusing their gaze on the speaker’s face during a conversation. To date, however, there has not been an adequate study examining children’s response and gaze during the Go/No-Go task to distinguish ASD from typical children. We investigated typical and ASD children’s gaze modulation when they played a version of the Go/No-Go game. The proposed system represents the Go and the No-Go stimuli as chicken and cat characters, respectively. It tracks children’s gaze using an eye tracker mounted on the monitor. Statistically significant between-group differences in spatial and auto-regressive temporal gaze-related features for 21 ASD and 31 typical children suggest that ASD children had more unstable gaze modulation during the test. Using the features that differ significantly as inputs, the AdaBoost meta-learning algorithm attained an accuracy rate of 88.6% in differentiating the ASD subjects from the typical ones.

Introduction: Children and adolescents with autism spectrum disorder (ASD) appear to be at greater risk of excess weight gain. The aim of this systematic review and meta-analysis was to examine whether children with ASD have a greater prevalence of obesity and whether the prevalence of ASD is higher in children with obesity. Methods: We conducted a systematic search on PubMed, Scopus, and PsychINFO until May 21, 2021. We used the meta package in the R in order to calculate the pooled prevalence and relative risk of obesity in children with ASD. Results: We found 20 eligible studies investigating the prevalence of obesity in children with ASD, with the prevalence ranging from 7.9 to 31.8% and from 1.4 to 23.6% among controls. All but three studies originated from the USA. The proportion of children with obesity in ASD populations was 17% (95% confidence interval [CI]: 13–22). The relative risk of obesity in children with ASD compared with control children was 1.58 (95% CI: 1.34–1.86). There were no controlled studies reporting on the prevalence of ASD in children with obesity. Conclusion: Children and adolescents with ASD have a higher prevalence of obesity than healthy controls. There is a need for further prevalence studies of obesity in children with ASD, especially outside the USA, since the few European studies carried out have failed to show a significant difference between obesity prevalence in children with and without ASD. There is no knowledge at all regarding the prevalence of ASD among children with obesity.