A Digital Cognitive-Physical Intervention for Attention-Deficit/Hyperactivity Disorder: Randomized Controlled Trial.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders among children. Pharmacotherapy has been the primary treatment for ADHD, supplemented by behavioral interventions. Digital and exercise interventions are promising nonpharmacologic approaches for enhancing the physical and psychological health of children with ADHD. However, the combined impact of digital and exercise therapies remains unclear. OBJECTIVE: The aim of this study was to determine whether BrainFit, a novel digital intervention combining gamified cognitive and exercise training, is efficacious in reducing ADHD symptoms and executive function (EF) among school-aged children with ADHD. METHODS: This 4-week prospective randomized controlled trial included 90 children (6-12 years old) who visited the ADHD outpatient clinic and met the diagnostic criteria for ADHD. The participants were randomized (1:1) to the BrainFit intervention (n=44) or a waitlist control (n=46) between March and August 2022. The intervention consisted of 12 30-minute sessions delivered on an iPad over 4 weeks with 3 sessions per week (Monday, Wednesday, and Friday after school) under the supervision of trained staff. The primary outcomes were parent-rated symptoms of attention and hyperactivity assessed according to the Swanson, Nolan, and Pelham questionnaire (SNAP-IV) rating scale and EF skills assessed by the Behavior Rating Inventory of Executive Function (BRIEF) scale, evaluated pre and post intervention. Intention-to-treat analysis was performed on 80 children after attrition. A nonparametric resampling-based permutation test was used for hypothesis testing of intervention effects. RESULTS: Among the 145 children who met the inclusion criteria, 90 consented and were randomized; ultimately, 80 (88.9%) children completed the study and were included in the analysis. The participants' average age was 8.4 (SD 1.3) years, including 63 (78.8%) male participants. The most common ADHD subtype was hyperactive/impulsive (54/80, 68%) and 23 (29%) children had severe symptoms. At the endpoint of the study, the BrainFit intervention group had a significantly larger improvement in total ADHD symptoms (SNAP-IV total score) as compared to those in the control group (ß=-12.203, 95% CI -17.882 to -6.523; P<.001), owing to lower scores on the subscales Inattention (ß=-3.966, 95% CI -6.285 to -1.647; P<.001), Hyperactivity/Impulsivity (ß=-5.735, 95% CI -8.334 to -3.137; P<.001), and Oppositional Defiant Disorder (ß=-2.995, 95% CI -4.857 to -1.132; P=.002). The intervention was associated with significant reduction in the Metacognition Index (ß=-6.312, 95% CI -10.973 to -1.650; P=.006) and Global Executive Composite (ß=-5.952, 95% CI -10.214 to -1.690; P=.003) on the BRIEF. No severe intervention-related adverse events were reported. CONCLUSIONS: This novel digital cognitive-physical intervention was efficacious in school-age children with ADHD. A larger multicenter effectiveness trial with longer follow-up is warranted to confirm these findings and to assess the durability of treatment effects. TRIAL REGISTRATION: Chinese Clinical Trial Register ChiCTR2300070521; https://www.chictr.org.cn/showproj.html?proj=177806.

Predicting autism spectrum disorder using maternal risk factors: A multi-center machine learning study.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a complex environmental etiology involving maternal risk factors, which have been combined with machine learning to predict ASD. However, limited studies have considered the factors throughout preconception, perinatal, and postnatal periods, and even fewer have been conducted in multi-center. In this study, five predictive models were developed using 57 maternal risk factors from a cohort across ten cities (ASD:1232, typically developing[TD]: 1090). The extreme gradient boosting model performed best, achieving an accuracy of 66.2 % on the external cohort from three cities (ASD:266, TD:353). The most important risk factors were identified as unstable emotions and lack of multivitamin supplementation using Shapley values. ASD risk scores were calculated based on predicted probabilities from the optimal model and divided into low, medium, and high-risk groups. The logistic analysis indicated that the high-risk group had a significantly increased risk of ASD compared to the low-risk group. Our study demonstrated the potential of machine learning models in predicting the risk for ASD based on maternal factors. The developed model provided insights into the maternal emotion and nutrition factors associated with ASD and highlighted the potential clinical applicability of the developed model in identifying high-risk populations.

Intestinal Symptoms Among Children aged 2-7 Years with Autism Spectrum Disorder in 13 Cities of China.

BACKGROUND: Autism spectrum disorder (ASD) is a multifactorial, pervasive, neurodevelopmental disorder, of which intestinal symptoms collectively represent one of the most common comorbidities. METHODS: In this study, 1,222 children with ASD and 1,206 typically developing (TD) children aged 2-7 years were enrolled from 13 cities in China. Physical measurement and basic information questionnaires were conducted in ASD and TD children. The Childhood Autism Rating Scale (CARS), Social Responsiveness Scale (SRS), and Autism Behavior Checklist (ABC) were used to evaluate the clinical symptoms of children with ASD. The six-item Gastrointestinal Severity Index (6-GSI) was used to evaluate the prevalence of intestinal symptoms in two groups. RESULTS: The detection rates of constipation, stool odor, and total intestinal symptoms in ASD children were significantly higher than those in TD children (40.098% vs. 25.622%, 17.021% vs. 9.287%, and 53.601% vs. 41.294%, respectively). Autistic children presenting with intestinal comorbidity had significantly higher scores on the ABC, SRS, CARS, and multiple subscales than autistic children without intestinal symptoms, suggesting that intestinal comorbidity may exacerbates the core symptoms of ASD children. CONCLUSION: Intestinal dysfunction was significantly more common in autistic than in TD children. This dysfunction may aggravate the core symptoms of children with ASD.

[Intellectual status and factors influencing the intelligence in children with attention deficit and hyperactive disorder]. / æ³¨æ„ç¼ºé™·å¤šåŠ¨éšœç¢å„¿ç«¥çš„æ™ºåŠ›çŽ°çŠ¶åŠå ¶å½±å“å› ç´ .

OBJECTIVES: To study the intellectual level and the factors influencing the intelligence in children aged 6-16 years with attention deficit hyperactivity disorder (ADHD). METHODS: A retrospective study was conducted on 2 861 children who were diagnosed with ADHD according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition between October 2014 and September 2022 at Henan Children's Hospital. The Wechsler Intelligence Scale for Children-Fourth Edition was used to assess the intellectual levels of the ADHD children. Based on intelligence quotient (IQ) scores, the intellectual levels were classified into five categories: borderline (70-79), low average (80-89), average (90-109), high average (110-119), and superior (≥120). The intellectual levels among the children of different genders, grades, and parental education levels were compared. RESULTS: Among the 2 861 ADHD children, 569 (19.89%) were classified as borderline, 846 (29.57%) as low average, 1 304 (45.58%) as average, 111 (3.88%) as high average, and 31 (1.08%) as superior. The boys had lower scores in working memory, processing speed, and overall IQ than the girls (P<0.05). There were significant differences in perceptual reasoning, working memory, processing speed, and overall IQ scores among different grade groups (P<0.05). The scores in language comprehension, perceptual reasoning, working memory, processing speed, and overall IQ were found to be associated with parental education level in ADHD children (P<0.05). CONCLUSIONS: The proportion of ADHD children with low average and borderline intellectual levels is relatively high. The IQ level of ADHD children is influenced by gender, grade level and parental education level.

Meta-analysis of the efficacy of digital therapies in children with attention-deficit hyperactivity disorder.

Background: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that commonly occurs in childhood. The aim of this meta-analysis was to summarize the available evidence for the efficacy of digital therapeutics in children and adolescents with ADHD. Methods: We searched the MEDLINE, EMBASE, Cochrane Library (Cochrane Database of Systematic Reviews), and Web of Science (science and social science citation index) databases for relevant studies and used Stata 15.0 software to carry out the meta-analysis. Results: A total of 31 studies involving 2169 participants (1665 boys and 504 girls) aged 4-17 years old were included in the final analysis. The meta-analysis results showed that digital interventions improved the symptoms of inattention with an effect value of -0.20 (95% confidence interval [CI] -0.36, -0.04) and decreased the continuous performance task (CPT) reaction time (effect, -0.40, 95% CI -0.73, -0.07) in ADHD patients. The score for impulsive hyperactivity was slightly decreased (effect, -0.07, 95% CI -0.23, 0.09). Moreover, executive function was improved (effect, 0.71, 95% CI 0.37, 1.04). The capability of working memory appeared to be increased (effect, 0.48, 95% CI 0.21, 0.76) between the two groups. Visual appraisal of the sensitivity analysis suggested the absence of heterogeneity, and no obvious publication bias was detected. Discussion: Based on the existing literature evidence, we conclude that digital therapy can be a promising therapeutic strategy for ADHD patients.

[Clinical and molecular genetic analysis of a child with Schmid type metaphyseal chondrodysplasia].

OBJECTIVE: To analyze the clinical features and genotype of a child with Schmid type metaphyseal chondrodysplasia. METHODS: Clinical data of the child and her parents was collected. The child was subjected to high-throughput sequencing, and candidate variant was verified by Sanger sequencing of her family members. RESULTS: Whole exome sequencing revealed that the child has harbored a heterozygous c.1772G>A (p.C591Y) variant of the COL10A1 gene, which was not found in either of her parents. The variant was not found in the HGMD and ClinVar databases, and was rated as likely pathogenic based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). CONCLUSION: The heterozygous c.1772G>A (p.C591Y) variant of the COL10A1 gene probably underlay the Schmid type metaphyseal chondrodysplasia in this child. Genetic testing has facilitated the diagnosis and provided a basis for genetic counselling and prenatal diagnosis for this family. Above finding has also enriched the mutational spectrum of the COL10A1 gene.

Parsing the heterogeneity of brain-symptom associations in autism spectrum disorder via random forest with homogeneous canonical correlation.

BACKGROUND: Autism spectrum disorder (ASD) is a highly heterogeneous developmental disorder, but the neuroimaging substrates of its heterogeneity remain unknown. The difficulty lies mainly on the significant individual variability in the brain-symptom association. METHODS: T1-weighted magnetic resonance imaging data from the Autism Brain Imaging Database Exchange (ABIDE) (NTDC = 1146) were used to generate a normative model to map brain structure deviations of cases (NASD = 571). Voxel-based morphometry (VBM) was used to compute gray matter volume (GMV). Singular Value Decomposition (SVD) was employed to perform dimensionality reduction. A tree-based algorithm was proposed to identify the ASD subtypes according to the pattern of brain-symptom association as assessed by a homogeneous canonical correlation. RESULTS: We identified 4 ASD subtypes with distinct association patterns between residual volumes and a social symptom score. More severe the social symptom was associated with greater GMVs in both the frontoparietal regions for the subtype1 (r = 0.29-0.44) and the ventral visual pathway for the subtype3 (r = 0.19-0.23), but lower GMVs in both the right anterior cingulate cortex for the subtype4 (r = -0.25) and a few subcortical regions for the subtype2 (r = -0.31 to -0.20). The subtyping significantly improved the classification accuracy between cases and controls from 0.64 to 0.75 (p < 0.05, permutation test), which was also better than the accuracy of 0.68 achieved by the k-means-based subtyping (p < 0.01). LIMITATIONS: Sample size limited the study due to the missing data. CONCLUSIONS: These findings suggest that the heterogeneity of ASD might reflect changes in different subsystems of the social brain, especially including social attention, motivation, perceiving and evaluation.

Emotional problems mediate the association between attention deficit/hyperactivity disorder and obesity in adolescents.

BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) has been identified as a risk factor for obesity in both children and adolescents. However, the mechanisms underlying the relationship between ADHD and obesity are still unclear. This study aimed to test a theoretical model of whether anxiety/depression is an intermediary factor in the ADHD-obesity relationship. METHODS: Data were derived from the National Health Interview Survey (NHIS), a principal source of information on the health of the civilian noninstitutionalized population of the United States. A total of 35,108 adolescents aged 12-17 years old from 2010-2015 NHIS and 2016-2018 NHIS representing 46,550,729 individuals in the weighted population, had a parent-reported previous ADHD diagnosis, emotional problems, and height and weight data. Mediation analyses were used to explore whether anxiety/depression is an intermediary factor in the relationship between ever having ADHD and obesity. Mediation analyses were performed using multiple logistic regressions. RESULTS: The findings showed that ADHD was a predictor of obesity. This relationship was partially mediated by depression(2010-2015: ß=0.28, 95%CI:0.13-0.43; 2016-2018: ß=0.26, 95%CI:0.03-0.49), as well as anxiety (2010-2015: ß=0.28, 95%CI:0.18-0.38). CONCLUSIONS: Our study suggests the hypothetical role of depression and anxiety as underlying mechanisms in the association between ever having ADHD and obesity in adolescents. When treating children with ADHD, clinicians need to be particularly attentive to whether they show emotional problems and use interventions to eliminate anxiety/depression to protect against obesity.

Association of feeding patterns in infancy with later autism symptoms and neurodevelopment: a national multicentre survey.

BACKGROUND: We aimed to compare differences in infant feeding patterns (breastfeeding and complementary food supplementation) between children with the autism spectrum disorder (ASD) and typically developing (TD) children through a multicentre study. The relationship between these patterns and later core symptoms and neurodevelopment in children with ASD was also investigated. METHODS: We analysed breastfeeding and complementary feeding patterns in 1389 children with ASD and 1190 TD children. The Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016) was used to assess neurodevelopmental levels. The Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), Childhood Autism Rating Scale (CARS), and ASD Warning Behavior Subscale of the CNBS-R2016 were used to assess ASD symptoms. RESULTS: Children with ASD had a shorter breastfeeding duration in infancy (8 (3-12) months vs. 10 (6-14) months, P < 0.001), later introduction of complementary foods (P < 0.001), and poorer acceptance of complementary foods (P < 0.001) than TD children. Total ABC and CARS scores were lower in the group of children with ASD who had been breastfed for 12 months or more than in the group who had been breastfed for less than 6 months. Children with ASD who were given complementary food after 6 months had lower general quotient (GQ), adaptive ability, fine motor and language scores than those who were given complementary food within 4-6 months. Children with ASD with poor acceptance of complementary foods had higher ABC and SRS scores and lower gross motor scores than those who had good acceptance. CONCLUSIONS: Children with ASD have a shorter duration of breastfeeding, a later introduction of complementary foods, and poorer acceptance of complementary foods than TD children. These feeding patterns may be related to the symptoms and growth of children with ASD. The research suggests that continued breastfeeding for longer than 12 months may be beneficial in reducing ASD symptoms and that infants who have difficulty introducing complementary foods should be followed up for neurodevelopment. TRIAL REGISTRATION: The ethics committee of the Children's Hospital of Chongqing Medical University approved the study. Approval Number: (2018) IRB (STUDY) NO. 121, and registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR2000031194, registered on 23/03/2020).

Working memory processing deficit associated with a nonlinear response pattern of the anterior cingulate cortex in first-episode and drug-naïve schizophrenia.

Impaired working memory (WM) is a core neuropsychological dysfunction of schizophrenia, however complex interactions among the information storage, information processing and attentional aspects of WM tasks make it difficult to uncover the psychophysiological mechanisms of this deficit. Thirty-six first-episode and drug-naïve schizophrenia and 29 healthy controls (HCs) were enrolled in this study. Here, we modified a WM task to isolate components of WM storage and WM processing, while also varying the difficulty level (load) of the task to study regional differences in load-specific activation using mixed effects models, and its relationship to distributed gene expression. Comparing patients with HCs, we found both attentional deficits and WM deficits, with WM processing being more impaired than WM storage in patients. In patients, but not controls, a linear modulation of brain activation was observed mainly in the frontoparietal and dorsal attention networks. In controls, an inverted U-shaped response pattern was identified in the left anterior cingulate cortex. The vertex of this inverted U-shape was lower in patients than controls, and a left-shifting axis of symmetry was associated with better WM performance in patients. Both the above linear and U-shaped modulation effects were associated with the expressions of the genes enriched in the dopamine neurotransmitter system across all cortical brain regions. These findings indicate that a WM processing deficit is evident in schizophrenia from an early stage before antipsychotic treatment, and associated with a dopamine pathway related aberration in nonlinear response pattern at the cingulate cortex when processing WM load.

Early life exposure to triclosan from antimicrobial daily necessities may increase the potential risk of autism spectrum disorder: A multicenter study in China.

BACKGROUND: Autism spectrum disorders (ASD) are a group of complex neurodevelopmental disorders with unclear etiologies. Our recent work indicated that maternal exposure to triclosan (TCS) significantly increased the autistic-like behavior in rats, possibly through disrupting neuronal retinoic acid signaling. Although environmental endocrine disruptors (EEDs) have been associated with autism in humans, the relationship between TCS, one of the EEDs found in antibacterial daily necessities, and autism has received little attention. OBJECTIVE: The aims of this multicenter study were to evaluate TCS concentrations in typically developing (TD) children and ASD children, and to determine the relationship between TCS levels and the core symptoms of ASD children. METHODS: A total of 1345 children with ASD and 1183 TD children were enrolled from 13 cities in China. Ages ranged between 2 and 7 years. A questionnaire was used to investigate the maternal use of antibacterial daily necessities (UADN) during pregnancy. The core symptoms of ASD were evaluated using the Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), Social Response Scale (SRS), and the Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016). The TCS concentration was measured using LC-MS/MS. RESULTS: Maternal UADN during pregnancy may be an unrecognized potential environmental risk factor for ASD (OR=1.267, P = 0.023). Maternal UADN during pregnancy strongly correlated with TCS levels in the offspring (Adjusted ß = 0.277, P < 0.001). TCS concentration was higher in ASD children (P = 0.005), and positively correlated with ABC (Sensory subscales: P = 0.03; Social self-help subscales: P = 0.011) and SRS scale scores (Social awareness subscales: P = 0.045; Social communication subscales: P = 0.001; Autism behavior mannerisms subscales: P = 0.006; SRS total score: P = 0.003) in ASD children. This association was more pronounced in boys than in girls. CONCLUSION: To our knowledge, this is the first case-control study to examine the correlation between TCS and ASD. Our results suggest that maternal UADN during pregnancy may be a potential risk of ASD in offspring. Further detection of TCS levels showed that maternal UADN during pregnancy may be associated with excessive TCS exposure. In addition, the level of TCS in children with ASD is higher than TD children. The higher levels of TCS in children with ASD may be significantly associated with more pronounced core symptoms, and this association was more significant in male children with ASD.

Vitamin D status is primarily associated with core symptoms in children with autism spectrum disorder: A multicenter study in China.

OBJECTIVE: We aimed to investigate the relationship between vitamin D status and core symptoms and neurodevelopmental levels in children with ASD with a multicenter survey. METHODS: We enrolled 1321 ASD children and 1279 typically developing (TD) children aged 2-7 years from 13 cities in China. ASD symptoms were assessed with the Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS) and Childhood Autism Rating Scale (CARS), and neurodevelopmental levels were evaluated with the Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016). RESULTS: Children with ASD had lower serum 25(OH)D levels than TD children. Serum 25(OH)D levels were negatively associated with CARS and communication warning behavior of CNBS-R2016 scores, and were not associated with the development quotients of ASD children. ASD Children were grouped based on the quartiles for 25(OH)D levels in the controls, and children in the first to third quartiles had higher SRS social communication and/or CARS and communication warning behavior of CNBS-R2016 scores than those in the fourth quartile. CONCLUSIONS: Serum 25(OH)D levels were primarily associated with core symptoms in children with ASD, and individuals with relatively lower 25(OH)D levels displayed worse autistic symptomatology. More research is needed to determine whether vitamin D supplements would be a useful treatment for ASD.

Neurodevelopmental domain characteristics and their association with core symptoms in preschoolers with autism spectrum disorder in China: a nationwide multicenter study.

BACKGROUND: Autism spectrum disorder (ASD) is a group of clinically heterogenic neurodevelopmental disorders, with intellectual disability being one of its common comorbidities. No large-sample, multicenter study has focused on the neurodevelopmental aspect of preschoolers with ASD. This study investigated the neurodevelopmental characteristics of preschoolers with ASD in China and explored the association between them and the core symptoms. METHODS: We enrolled 1019 ASD preschoolers aged 2-7 years old from 13 cities around China between May 2018 and December 2019, and used the revised Children Neuropsychological and Behavior Scale (CNBS-R2016) to assess their neurodevelopment. Their autistic core behaviors were evaluated based on their Social Responsiveness Scale (SRS), Autism Behavior Checklist (ABC), Child Autism Rating Scale (CARS), and communication warning behavior (CWB) scores in the CNBS-R2016. RESULTS: Based on general developmental quotient (GQ) < 70, 68.4% of the preschoolers with ASD had a developmental delay (DD), rated mild in 32.7% of them. The highest DD rate (> 70%) was found in language and personal-social skills, followed by fine motor skills (68.9%). Gross motor skills had the lowest DD rate (34.0%). We found that fine motor, language, and personal-social developmental quotients (DQs) were significantly lower than gross motor skills in no DD (GQ > 70), mild DD (GQ 55-69), and moderate and below DD groups (GQ ≤ 54). Furthermore, the DQs for language and personal-social skills were significantly lower than for gross and fine motor skills in both DD groups. The ABC, SRS, CARS, and CWB scores in the no DD group were the lowest, moderate in the mild DD group, and highest in the moderate and below DD group. Besides, negative correlations were found between the DQs of the four domains and the ABC, SRS, CARS, and CWB scores, of which the language and personal-social skills DQs had the strongest correlations. CONCLUSIONS: Preschoolers with ASD had unbalanced neurodevelopment domain patterns and their neurodevelopmental levels were negatively correlated with the autism core symptoms. Hence, pediatricians should actively evaluate the neurodevelopment of children with ASD and conduct long-term follow-up during their early childhood to promote early diagnosis and develop personalized intervention plans. TRIAL REGISTRATION: ChiCTR2000031194 , registered on 03/23/2020.

Vitamin A Status Is More Commonly Associated With Symptoms and Neurodevelopment in Boys With Autism Spectrum Disorders-A Multicenter Study in China.

Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder, and show a striking male bias in prevalence. Vitamin A (VA) is essential for brain development, and abnormalities in its metabolite retinoic acid are associated with the pathophysiology of ASD. This national multicenter study was conducted to investigate the relationship between serum VA level and core symptoms in ASD children and whether there are still sex differences. Method: A total of 1,300 children with ASD and 1,252 typically-developing (TD) controls aged 2-7 years old from 13 cities in China were enrolled in this study. The symptoms of children with ASD were evaluated by the Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood autism rating scale (CARS). The neurodevelopmental level of the children was evaluated with the revised Children Neuropsychological and Behavior Scale (CNBS-R2016). The serum level of VA was measured by high-performance liquid chromatography (HPLC). Results: The serum VA level in children with ASD was significantly lower than that in TD children, especially in boys with ASD. Furthermore, VA levels in male children with ASD were lower than those in female children with ASD. In addition, we found that serum VA level was negatively correlated the SRS, CARS and communication warming behavior of CBNS-R2016 scores in boys with ASD. In terms of developmental quotients, serum VA level was positively associated with the general quotient, language quotient, gross motor quotient and personal-social quotient of boys with ASD, but no difference was found in girls with ASD. Conclusions: ASD children, especially boys, have lower serum VA levels than TD children. Moreover, serum VA status is more commonly associated with clinical symptoms and neurodevelopment in boys with ASD.

Psychological distress in parents of children with autism spectrum disorder: A cross-sectional study based on 683 mother-father dyads.

PURPOSE: This study aimed to assess psychological distress and its gender difference in parents of children with ASD. Predictive factors for parental psychological distress and interaction effects between parents were also explored. DESIGN AND METHODS: A cross-sectional study was conducted for parents of children with ASD and 683 mother-father dyads were included in the analyses. RESULTS: Mothers of children with severe autistic symptoms reported significantly higher levels of stress, anxiety, and depression than fathers. The prevalence of moderate-to-severe anxiety and depression for mothers was 13.8% and 13.1%, respectively. The corresponding prevalence for fathers was 9.9% and 8.0%, respectively. A college education or above protected against maternal stress and an only child predicted paternal stress. Child social impairment predicted maternal but not paternal psychological distress. Stress was a significant predictor of anxiety and depression for both parents. Paternal stress and anxiety moderated the relationship between child's social impairment and maternal stress, and paternal anxiety moderated the relationship between child's social impairment and maternal depression. CONCLUSIONS: The gender difference in the parental psychological distress depends on the severity of children's autistic symptoms. Child social impairment exerts significant effects on mothers' psychological distress and parental stress contributes to anxiety and depression for both parents. The psychological distress of fathers moderates the relationship between child social impairment and maternal psychological distress. IMPLICATIONS: Health-care professionals should pay special attention to parents who are susceptible to psychological distress. Social skill interventions for children and stress reduction programs for parents are recommended to promote parental psychological well-being.

A Multi-Center Study on the Relationship Between Developmental Regression and Disease Severity in Children With Autism Spectrum Disorders.

Introduction: This study aimed to investigate the prevalence of developmental regression in children with Autism Spectrum Disorder (ASD) and to explore its relationship with disease severity. Methods: We finally included 1,027 ASD children aged 2-5 years from 13 cities in China: 138 with regressive ASD and 889 with non-regressive ASD. The Social Responsiveness Scale (SRS), Autism Behavior Checklist (ABC), Child Autism Rating Scale (CARS), and Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) were used to evaluate the core symptoms and developmental status of children in the two groups. Results: Among the 1,027 ASD children eventually included, 138 (13.44%) cases showed regressive behavior and the average regression occurring age was 24.00 (18.00-27.00) months. Among the regressive children, 105 cases (76.09%) had language regression, 79 cases (57.25%) had social regression, and 4 cases (2.90%) had motor regression. The total scores of ABC and the sub-score of sensory and stereotypic behavior (ß = 5.122, 95% CI: 0.818, 9.426, P < 0.05; ß = 1.104, 95% CI: 0.120, 2.089, P < 0.05; ß = 1.388, 95% CI: 0.038, 2.737, P < 0.05), the SRS total scores and the sub-score of autistic mannerisms (ß = 4.991, 95% CI: 0.494, 9.487, P < 0.05; ß = 1.297, 95% CI: 0.140, 2.453, P < 0.05) of children in the regressive group were all higher than the non-regressive group. The total developmental quotient (DQ) of CNBS-R2016 and the DQ of gross motor, fine motor, adaptive behavior, language (ß = -5.827, 95% CI: -11.529, -0.125, P < 0.05) and personal society in the regressive group were lower than the non-regressive group and the proportion of children with intelligent developmental impairment was higher the non-regressive group. Conclusion: Regressive autism is mainly manifested as language and social regression. Children with regressive ASD have more severe core symptoms, lower neurodevelopmental level DQ, and more serious disease degree than children with non-regressive ASD, which requires further etiological examinations and more clinical attention.

Generation of an induced pluripotent stem cell line SJTUXHi001-A from an autism spectrum disorder patient carrying a heterozygous mutation in HDAC8 (p.P359S).

Mutations in the HDAC8 are considered to be a prominent cause of Cornelia de Lange syndrome 5, a leading cause of intellectual disability and social disability. Here, we report the generation of an induced pluripotent stem cell (iPSC) line from a 5-year-old girl diagnosed with autism spectrum disorder (ASD) who carries a heterozygous mutation in HDAC8 (c.1075C > T, p.Pro359Ser).

Generation of a human induced pluripotent stem cell line (SJTUXHi002-A) from an individual with autism spectrum disorder carrying a heterozygous mutation in GRIA2.

Herein, we report the generation of a human induced pluripotent stem cell (iPSC) line from an autism spectrum disorder (ASD) patient carrying the c.1998delT mutation in GRIA2 gene. The generated iPSC line exhibits normal karyotype, pluripotency markers and was able to differentiate into three germ layers. The iPSC line retained the GRIA2 mutation (c.1998delT), which could provide a valuable resource for investing pathogenic mechanisms underlying ASD and facilitating the development of targeted medicine.

Identifying microbe-disease association based on graph convolutional attention network: Case study of liver cirrhosis and epilepsy.

The interactions between the microbiota and the human host can affect the physiological functions of organs (such as the brain, liver, gut, etc.). Accumulating investigations indicate that the imbalance of microbial community is closely related to the occurrence and development of diseases. Thus, the identification of potential links between microbes and diseases can provide insight into the pathogenesis of diseases. In this study, we propose a deep learning framework (MDAGCAN) based on graph convolutional attention network to identify potential microbe-disease associations. In MDAGCAN, we first construct a heterogeneous network consisting of the known microbe-disease associations and multi-similarity fusion networks of microbes and diseases. Then, the node embeddings considering the neighbor information of the heterogeneous network are learned by applying graph convolutional layers and graph attention layers. Finally, a bilinear decoder using node embedding representations reconstructs the unknown microbe-disease association. Experiments show that our method achieves reliable performance with average AUCs of 0.9778 and 0.9454 ± 0.0038 in the frameworks of Leave-one-out cross validation (LOOCV) and 5-fold cross validation (5-fold CV), respectively. Furthermore, we apply MDAGCAN to predict latent microbes for two high-risk human diseases, i.e., liver cirrhosis and epilepsy, and results illustrate that 16 and 17 out of the top 20 predicted microbes are verified by published literatures, respectively. In conclusion, our method displays effective and reliable prediction performance and can be expected to predict unknown microbe-disease associations facilitating disease diagnosis and prevention.

Age of Diagnosis and Demographic Factors Associated with Autism Spectrum Disorders in Chinese Children: A Multi-Center Survey.

Purpose: The present study investigated the age of diagnosis, treatment and demographic factors of Chinese children with autism spectrum disorders (ASD), to provide a scientific basis for the early detection, diagnosis, and intervention of ASD. Patients and Methods: A total of 1500 ASD children aged 2-7 years old from 13 cities in China were administered questionnaires to examine their diagnosis, treatment, and basic family information. The Childhood Autism Rating Scale (CARS) was used to measure the symptoms and severity of ASD children, and the Children Neuropsychological and Behavior Scale-Revision 2016 (CNBS-R2016) was utilized to measure neurodevelopmental levels of ASD children. Results: We found that for children with ASD, the median (p25, p75) age for the initial detection of social behavioral developmental delay was 24 (18, 30) months, while the age for the initial diagnosis was 29 (24, 36) months and the age for the beginning of intervention was 33 (27, 42) months. Multiple linear regression (MLR) analysis suggested that in children with ASD whose parents were divorced, separated, or widowed, or whose mothers were engaged in physical work, the initial detection of social behavioral developmental delay happened later. For the children with ASD who lived in urban areas, had higher levels of ASD symptom severity or whose parents were not divorced or separated, the age for the initial diagnosis was earlier. For the children with ASD who lived in urban areas or whose mothers had received higher level of education, the earlier age for the beginning of intervention was observed, while for those with ASD whose mothers were engaged in physical work, the age for the beginning of training was later. Conclusion: It is recommended to actively carry out health education of ASD and strengthen the support for ASD families to enhance their rehabilitation level.