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The SEPHS1 (Selenophosphate Synthetase 1) gene encodes a critical enzyme for synthesizing selenophosphate, the active donor of selenium (Se) necessary for selenoprotein biosynthesis. Selenoproteins are vital for antioxidant defense, thyroid hormone metabolism, and cellular homeostasis. Mutations in SEPHS1 gene, are associated with neurodevelopmental disorders with developmental delay, poor growth, hypotonia, and dysmorphic features. Due to Se's critical role in brain development and function, SEPHS1 gene has taken center stage in neurodevelopmental research. This review explores the structure and function of the SEPHS1 gene, its role in neurodevelopment, and the implications of its dysregulation for neurodevelopmental disorders. Therapeutic strategies, including Se supplementation, gene therapy, and targeted therapies, are discussed as potential interventions to address SEPHS1 associated neurodevelopmental dysfunction. The study's findings reveal how SEPHS1 mutations disrupt neurodevelopment, emphasizing the gene's intolerance to loss of function. Future research should focus on functional characterization of SEPHS1 variants, broader genetic screenings, and therapeutic developments.
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Neurodevelopmental Disorders , Humans , Neurodevelopmental Disorders/genetics , MutationABSTRACT
PURPOSE: To investigate the relationship between multi-dimensional aspects of screen exposure and autistic symptoms, as well as neuropsychological development in children with ASD. METHODS: We compared the ScreenQ and Griffiths Development Scales-Chinese Language Edition (GDS-C) of 636 ASD children (40.79 ± 11.45 months) and 43 typically developing (TD) children (42.44 ± 9.61 months). Then, we analyzed the correlations between ScreenQ and Childhood Autism Rating Scale (CARS), and GDS-C. We further used linear regression model to analyze the risk factors associated with high CARS total scores and low development quotients (DQs) in children with ASD. RESULTS: The CARS of children with ASD was positively correlated with the ScreenQ total scores and "access, frequency, co-viewing" items of ScreenQ. The personal social skills DQ was negatively correlated with the "access, frequency, content, co-viewing and total scores" of ScreenQ. The hearing-speech DQ was negatively correlated with the "frequency, content, co-viewing and total scores" of ScreenQ. The eye-hand coordination DQ was negatively correlated with the "frequency and total scores" of ScreenQ. The performance DQ was negatively correlated with the "frequency" item of ScreenQ. CONCLUSION: ScreenQ can be used in the study of screen exposure in children with ASD. The higher the ScreenQ scores, the more severe the autistic symptoms tend to be, and the more delayed the development of children with ASD in the domains of personal-social, hearing-speech and eye-hand coordination. In addition, "frequency" has the greatest impact on the domains of personal social skills, hearing-speech, eye-hand coordination and performance of children with ASD.
Subject(s)
Autism Spectrum Disorder , Humans , Autism Spectrum Disorder/diagnosis , Male , Female , Child, Preschool , Neuropsychological Tests , Screen Time , Case-Control Studies , Child , Child Development , Social SkillsABSTRACT
BACKGROUND: Internalizing and externalizing problems have received great attention, and children with ADHD exhibit high rates of comorbid internalizing and externalizing disorders. This study aimed to explore the relationship between sleep and internalizing problems in children with attention-deficit hyperactivity disorder (ADHD) and the probable mediating role of externalizing problems. METHODS: A total of 203 primary school children diagnosed with ADHD for the first time were recruited for this study. Children with ADHD were evaluated by Children's Sleep Habits Questionnaire (CSHQ), Strengths and Difficulties Questionnaire (SDQ). Internalizing problems were represented by emotional symptoms and peer problems of SDQ, and externalizing problems were represented by conduct problems and hyperactivity-inattention problems of SDQ. Multi-step linear regression analysis was used to investigate the mediating effect of externalizing problems on the relationship between sleep and internalizing problems. RESULTS: Sleep in children with ADHD was associated with emotional problems in internalizing problems, and conduct problems in externalizing problems mediated the association between sleep and emotional problems. CONCLUSION: For children with ADHD, when it is difficult to identify internalizing problems, especially emotional problems, we can take sleep and externalizing problems as clues to improve our clinical ability to recognize and deal with emotional problems. IMPACT: 1. We first explored the possible mediating role of conduct problems between sleep and emotional problems in primary school children with ADHD. 2. When it is difficult to identify internalizing problems, especially emotional problems, we can take sleep and externalizing problems as clues to improve our clinical ability to recognize emotional problems for children with ADHD. 3. For children with ADHD with potential internalizing problems, especially emotional problems, interventions for their sleep and externalizing problems may be the possible methods to deal with.
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BACKGROUND: Recently, studies on behavioral interventions for autism have gained popularity. Naturalistic Developmental Behavior Interventions (NDBIs) are among the most effective, evidence-based, and widely used behavior interventions for autism. However, no research has been conducted on which of the several NDBI methods is most effective for parents and children with autism spectrum disorders. Therefore, we conducted a network meta-analysis to compare the specific effects of each type of parental-mediated NDBI on children's developmental skills and parent fidelity. METHODS: PubMed, Embase, Cochrane Library, Medline, Web of Science, China National Knowledge Infrastructure (CNKI), CINAHL, and Wanfang databases were searched from inception to August 30, 2023. A total of 32 randomized controlled trial studies that examined the efficacy of different NDBIs were included. RESULTS: Parents of children with ASD who received Pivotal Response Treatment (PRT) reported significant improvements in their children's social skills (SUCRA, 74.1%), language skills (SUCRA, 88.3%), and parenting fidelity (SUCRA, 99.5%). Moreover, parents who received Early Start Denver Model (ESDM) reported significant improvements in their children's language (SMD = 0.41, 95% CI: 0.04, 0.79) and motor skills (SMD = 0.44, 95% CI: 0.09, 0.79). In terms of the efficacy of improving parent fidelity, the results showed that the Improving Parents as Communication Teachers (ImPACT) intervention significantly improved parent fidelity when compared with the treatment-as-usual group (TAU) (SMD = 0.90, 95% CI: 0.39, 1.42) and the parental education intervention (PEI) (SMD = 1.10, 95% CI:0.28, 1.91).There was a difference in parent fidelity among parents who received PRT(SMD = 3.53, 95% CI: 2.26, 4.79) or ESDM(SMD = 1.42, 95% CI: 0.76, 2.09) training compared with PEI. CONCLUSION: In conclusion, this study revealed that parents can achieve high fidelity with the ImPACT intervention, and it can serve as an early first step for children newly diagnosed with ASD. It also showed that parent-mediated ESDM is effective in improving language and motor skills for children with ASD and can be used as part of the second stage of parent training. Parent-mediated PRT can also be used as a third stage of parent training with sufficient training intensity to further improve language, social, and motor skills.
Subject(s)
Autism Spectrum Disorder , Network Meta-Analysis , Parents , Humans , Autism Spectrum Disorder/therapy , Parents/education , Child , Behavior Therapy/methods , Social Skills , Child Development , Parenting , Child, Preschool , Randomized Controlled Trials as Topic , Treatment OutcomeABSTRACT
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.
Subject(s)
Autism Spectrum Disorder , Pregnancy , Female , Humans , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/epidemiology , Autism Spectrum Disorder/etiology , Vitamins , Family , Risk Factors , Machine LearningABSTRACT
Prolonged screen time (ST) has adverse effects on autistic characteristics and language development. However, the mechanisms underlying the effects of prolonged ST on the neurodevelopment of children with autism spectrum disorder (ASD) remain unclear. Neuroimaging technology may help to further explain the role of prolonged ST in individuals with ASD. This study included 164 cases, all cases were divided into low-dose ST exposure (LDE group 108 cases) and high-dose ST exposure (HDE group 56 cases) based on the average ST of all subjects. Spatial independent component analysis (ICA) was used to identify resting state networks (RSNs) and investigate intra- and inter-network alterations in ASD children with prolonged ST. We found that the total Childhood Autism Rating Scale (CARS) scores in the HDE group were significantly higher than those in the LDE group (36.2 ± 3.1 vs. 34.6 ± 3.9, p = 0.008). In addition, the developmental quotient (DQ) of hearing and language in the HDE group were significantly lower than those in the LDE group (31.5 ± 13.1 vs. 42.5 ± 18.5, p < 0.001). A total of 13 independent components (ICs) were identified. Between-group comparison revealed that the HDE group exhibited decreased functional connectivity (FC) in the left precuneus (PCUN) of the default mode network (DMN), the right middle temporal gyrus (MTG) of the executive control network (ECN), and the right median cingulate and paracingulate gyri (MCG) of the attention network (ATN), compared with the LDE group. Additionally, there was an increase in FC in the right orbital part of the middle frontal gyrus (ORBmid) of the salience network (SAN), compared with the LDE group. The inter-network analysis revealed increased FC between the visual network (VN) and basal ganglia (BG) and decreased FC between the sensorimotor network (SMN) and DMN, SMN and ATN, SMN and auditory network (AUN), and DMN and SAN in the HDE group, compared with the LDE group. There was a significant negative correlation between altered FC values in MTG and total CARS scores in subjects (r = - 0.18, p = 0.018). Conclusion: ASD children with prolonged ST often exhibit lower DQ of language development and more severe autistic characteristics. The alteration of intra- and inter-network FC may be a key neuroimaging feature of the effect of prolonged ST on neurodevelopment in ASD children. Clinical trial registration: ChiCTR2100051141. What is Known: ⢠Prolonged ST has adverse effects on autistic characteristics and language development. ⢠Neuroimaging technology may help to further explain the role of prolonged ST in ASD. What is New: ⢠This is the first study to explore the impact of ST on intra- and inter-network FC in children with ASD. ⢠ASD children with prolonged ST have atypical changes in intra- and inter-brain network FC.
Subject(s)
Autism Spectrum Disorder , Magnetic Resonance Imaging , Screen Time , Child , Child, Preschool , Female , Humans , Male , Autism Spectrum Disorder/physiopathology , Autism Spectrum Disorder/diagnostic imaging , Brain/diagnostic imaging , Brain/physiopathology , Nerve Net/physiopathology , Nerve Net/diagnostic imaging , Cross-Sectional Studies , Retrospective StudiesABSTRACT
Children with chronic tic disorders (CTD), including Tourette syndrome (TS), have significantly reduced serum 25-hydroxyvitamin D [25(OH)D]. While vitamin D3 supplementation (VDS) may reduce tic symptoms in these children, its mechanism is unclear. The study aim was to investigate the effects and mechanisms of vitamin D deficiency (VDD) and VDS on TS model behavior. Forty 5-week-old male Sprague-Dawley rats were randomly divided into (n = 10 each): control, TS model, TS model with VDD (TS + VDD), or TS model with VDS (TS + VDS; two intramuscular injections of 20,000 IU/200 g) groups. The VDD model was diet-induced (0 IU vitamin D/kg); the TS model was iminodipropionitrile (IDPN)-induced. All groups were tested for behavior, serum and striatal 25(OH)D and dopamine (DA), mRNA expressions of vitamin D receptor (VDR), glial cell line-derived neurotrophic factor (GDNF), protooncogene tyrosine-protein kinase receptor Ret (c-Ret), and DA D1 (DRD1) and D2 (DRD2) receptor genes in the striatum. TS + VDD had higher behavior activity scores throughout, and higher total behavior score at day 21 compared with TS model. In contrast, day 21 TS + VDS stereotyped behavior scores and total scores were lower than TS model. The serum 25(OH)D in TS + VDD was < 20 ng/mL, and lower than control. Striatal DA of TS was lower than control. Compared with TS model, striatal DA of TS + VDD was lower, while in TS + VDS it was higher than TS model. Furthermore, mRNA expression of VDR, GDNF, and c-Ret genes decreased in TS model, and GDNF expression decreased more in TS + VDD, while TS + VDS had higher GDNF and c-Ret expressions. VDD aggravates, and VDS ameliorates tic-like behavior in an IDPN-induced model. VDS may upregulate GDNF/c-Ret signaling activity through VDR, reversing the striatal DA decrease and alleviating tic-like behavior.
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BACKGROUND: Limited study has investigated the influence of parent-child interaction on brain functional alterations and development outcomes of autism spectrum disorder (ASD) children. This pilot study aimed to explore the relationship between parent-child interaction, brain functional activities and development outcomes of ASD children. METHODS: and Procedures: 653 ASD with an average age of 41.06 ± 10.88 months and 102 typically developmental (TD) children with an average age of 44.35 ± 18.39 months were enrolled in this study, of whom 155 ASD completed brain rs-fMRI scans. The amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) measured using resting-state functional magnetic resonance imaging (rs-fMRI) data reflect local brain function. The parent-child interaction was assessed by the Chinese Parent-child Interaction Scale (CPCIS). Childhood Autism Rating Scale (CARS) and developmental quotient (DQ) indicated development outcomes. OUTCOMES AND RESULTS: Total CPCIS score was negatively correlated with CARS total score, and positively correlated with DQ. The frequency of parent-child interaction was negatively correlated with ALFF values in the left median cingulate and paracingulate gyri (DCG.L) and ReHo values in the right superior frontal gyrus, medial (SFGmed.R)(P < 0.05, FDR correction). ALFF values in the DCG.L and ReHo values in the SFGmed.R play complete mediating roles in the relationship between parent-child interaction and performance DQ. CONCLUSION AND IMPLICATIONS: This study suggest that parent-child interaction has an impact on autistic characteristics and DQ of ASD children. Local brain regions with functional abnormalities in the DCG.L and SFGmed.R may be a crucial factors affecting the performance development of ASD children with reduced parent-child interaction.
Subject(s)
Autism Spectrum Disorder , Humans , Child , Child, Preschool , Autism Spectrum Disorder/diagnostic imaging , Magnetic Resonance Imaging/methods , Brain Mapping/methods , Pilot Projects , Brain/diagnostic imagingABSTRACT
INTRODUCTION: Recently, studies on behavioral tic suppression techniques have gained popularity as opposed to pharmacological alternatives that often have potentially dangerous side effects. Differential Reinforcement of Other Behaviors therapy (DRO) is one such behavioral technique whose efficacy in tic suppression has been experimentally demonstrated albeit in studies with very few patients, and lacking statistical power. Here, we conducted a meta-analysis of these studies to improve their overall power and explore whether DRO intervention is really effective for tic suppression. MATERIALS AND METHODS: PubMed, Embase, PsycINFO, and Cochrane Library were searched from inception to August 30, 2023. Only original interventional studies that examined the efficacy of DRO for tic suppression were included. RESULTS: A total of 8 no control interventional studies involving 79 children with tic disorders were recruited. Most of the children had moderate tic severity. The pooled mean Yale Global Tic Severity Scale (YGTSS) score was 24.64 (95% CI: 21.99 - 30.12, p = < 0.00001, I2 = 87%). In terms of efficacy of the DRO technique for tic suppression, the results showed that DRO was effective in reducing tic frequency among the children. The pooled standardized mean difference (SMD) was -10.25 (95% CI: -14.71 - -5.79, p = < 0.00001) with I2 = 94%. CONCLUSION: In conclusion, this study revealed that DRO is potentially an effective tic suppression technique for temporarily managing tic disorder. It also showed that DRO could be employed for both moderate and severe tic disorders. However, the technique bears crucial limitations that limit its implementation outside of experimental settings. More studies are needed to address these limitations and improve its applicability in the real world.