La falta de información sobre el uso de la tecnología en niños con trastorno del espectro autista (TEA) de diferentes perfiles puede dificultar que docentes y alumnos se estén beneficiando del apoyo tecnológico más eficaz y ajustado a sus necesidades. El objetivo de esta revisión fue analizar y sintetizar la evidencia científica sobre la eficacia de los recursos tecnológicos en la mejora de la comprensión emocional de estudiantes con TEA con perfiles de alto y bajo funcionamiento. Para ello se realizó una revisión sistemática de las publicaciones científicas indexadas en algunas de las bases de datos de mayor relevancia siguiendo los criterios establecidos en la declaración PRISMA. En total se analizaron 38 artículos que cumplieron con los criterios de inclusión preestablecidos. Los resultados muestran la importancia de diseñar sistemas versátiles que puedan personalizarse y adaptarse en tiempo real y en contextos naturales con un enfoque claramente inclusivo. Pero también sugieren que la tecnología puede no ser una herramienta de intervención complementaria adecuada para todos los niños con TEA. Lo que subraya la necesidad de ensayos adicionales bien controlados sobre las características que permitan identificar qué estudiantes podrían o no beneficiarse de diferentes modalidades de tecnología. (AU)
The lack of information on the use of technology in children with autism spectrum disorder (ASD) of different profiles can make it difficult for teachers and students to benefit from the most effective technology support tailored to their needs. The aim of this review was to analyze and synthesize scientific evidence on the effectiveness of technological resources in improving the emotional understanding of students with high and low functioning ASD profiles. A systematic review of the scientific publications indexed in some of the most relevant databases was carried out following the criteria established in the PRISMA declaration. A total of 38 articles that met the pre-established inclusion criteria were analyzed. The results show the importance of designing versatile systems that can be customized and adapted in real time and in natural contexts with a clearly inclusive approach. But they also suggest that technology may not be an appropriate complementary intervention tool for all children with ASD. This underlines the need for additional well-controlled tests on the characteristics that would allow identifying which students might or might not benefit from different technology modalities. (AU)
Humans , Child, Preschool , Child , Adolescent , Educational Technology , Autism Spectrum Disorder , Autistic Disorder
La falta de información sobre el uso de la tecnología en niños con trastorno del espectro autista (TEA) de diferentes perfiles puede dificultar que docentes y alumnos se estén beneficiando del apoyo tecnológico más eficaz y ajustado a sus necesidades. El objetivo de esta revisión fue analizar y sintetizar la evidencia científica sobre la eficacia de los recursos tecnológicos en la mejora de la comprensión emocional de estudiantes con TEA con perfiles de alto y bajo funcionamiento. Para ello se realizó una revisión sistemática de las publicaciones científicas indexadas en algunas de las bases de datos de mayor relevancia siguiendo los criterios establecidos en la declaración PRISMA. En total se analizaron 38 artículos que cumplieron con los criterios de inclusión preestablecidos. Los resultados muestran la importancia de diseñar sistemas versátiles que puedan personalizarse y adaptarse en tiempo real y en contextos naturales con un enfoque claramente inclusivo. Pero también sugieren que la tecnología puede no ser una herramienta de intervención complementaria adecuada para todos los niños con TEA. Lo que subraya la necesidad de ensayos adicionales bien controlados sobre las características que permitan identificar qué estudiantes podrían o no beneficiarse de diferentes modalidades de tecnología. (AU)
The lack of information on the use of technology in children with autism spectrum disorder (ASD) of different profiles can make it difficult for teachers and students to benefit from the most effective technology support tailored to their needs. The aim of this review was to analyze and synthesize scientific evidence on the effectiveness of technological resources in improving the emotional understanding of students with high and low functioning ASD profiles. A systematic review of the scientific publications indexed in some of the most relevant databases was carried out following the criteria established in the PRISMA declaration. A total of 38 articles that met the pre-established inclusion criteria were analyzed. The results show the importance of designing versatile systems that can be customized and adapted in real time and in natural contexts with a clearly inclusive approach. But they also suggest that technology may not be an appropriate complementary intervention tool for all children with ASD. This underlines the need for additional well-controlled tests on the characteristics that would allow identifying which students might or might not benefit from different technology modalities. (AU)
Humans , Child, Preschool , Child , Adolescent , Educational Technology , Autism Spectrum Disorder , Autistic Disorder
Autism spectrum disorder (ASD) is a growing public health problem. American psychiatrist Leo Kanner is considered the "father of autism." ASD encompasses a range of neurodevelopmental disorders that last throughout life. Symptoms of ASD include impairments in social skills, including specific repetitive behaviors, as well as abnormal sensory responses. The clinical symptoms of ASD vary among patients. Their severity also differs, both in the area of social communication and cognitive functioning. The etiology of ASD is still unclear, although a role is attributed to both genetic and environmental factors. According to the World Health Organization, 1/100 children have ASD, but these estimates vary depending on the methodology used. Nevertheless, early detection of ASD and initiation of appropriate therapy may be essential in the continued functioning of patients and their families. The purpose of this article is to provide an overview of current knowledge about autism spectrum disorders. We discuss factors associated with autism and the prevalence of ASD in various parts of the world, and identify the most common diseases comorbid with ASD, pointing to limitations in the quality of life of patients with ASD and their families.
Autism Spectrum Disorder , Public Health , Humans , Autism Spectrum Disorder/epidemiology , Prevalence , Child , Quality of Life , Comorbidity
Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting over 1% of the global population. Individuals with ASD often exhibit complex behavioral conditions, including significant social difficulties and repetitive behaviors. Moreover, ASD often co-occurs with several other conditions, including intellectual disabilities and anxiety disorders. The etiology of ASD remains largely unknown owing to its complex genetic variations and associated environmental risks. Ultimately, this poses a fundamental challenge for the development of effective ASD treatment strategies. Previously, we demonstrated that daily supplementation with the probiotic Lactiplantibacillus plantarum PS128 (PS128) alleviates ASD symptoms in children. However, the mechanism underlying this improvement in ASD-associated behaviors remains unclear. Here, we used a well-established ASD mouse model, induced by prenatal exposure to valproic acid (VPA), to study the physiological roles of PS128 in vivo. Overall, we showed that PS128 selectively ameliorates behavioral abnormalities in social and spatial memory in VPA-induced ASD mice. Morphological examination of dendritic architecture further revealed that PS128 facilitated the restoration of dendritic arborization and spine density in the hippocampus and prefrontal cortex of ASD mice. Notably, PS128 was crucial for restoring oxytocin levels in the paraventricular nucleus and oxytocin receptor signaling in the hippocampus. Moreover, PS128 alters the gut microbiota composition and increases the abundance of Bifidobacterium spp. and PS128-induced changes in Bifidobacterium abundance positively correlated with PS128-induced behavioral improvements. Together, our results show that PS128 treatment can effectively ameliorate ASD-associated behaviors and reinstate oxytocin levels in VPA-induced mice, thereby providing a promising strategy for the future development of ASD therapeutics.
Autism Spectrum Disorder , Disease Models, Animal , Probiotics , Social Behavior , Animals , Autism Spectrum Disorder/therapy , Autism Spectrum Disorder/microbiology , Mice , Probiotics/administration & dosage , Female , Male , Valproic Acid , Gastrointestinal Microbiome , Behavior, Animal/drug effects , Mice, Inbred C57BL , Hippocampus/metabolism , Pregnancy , Oxytocin/metabolism , Prefrontal Cortex/metabolism , Lactobacillus plantarum/physiology , Humans
BACKGROUND: Altered size in the corpus callosum (CC) has been reported in individuals with autism spectrum disorder (ASD), but few studies have investigated younger children. Moreover, knowledge about the age-related changes in CC size in individuals with ASD is limited. OBJECTIVES: Our objective was to investigate the age-related size of the CC and compare them with age-matched healthy controls between the ages of 2 and 18 years. METHODS: Structural-weighted images were acquired in 97 male patients diagnosed with ASD; published data were used for the control group. The CC was segmented into 7 distinct subregions (rostrum, genu, rostral body, anterior midbody, posterior midbody, isthmus, and splenium) as per Witelson's technique using ITK-SNAP software. We calculated both the total length and volume of the CC as well as the length and height of its 7 subregions. The length of the CC measures was studied as both continuous and categorical forms. For the continuous form, Pearson's correlation was used, while categorical forms were based on age ranges reflecting brain expansion during early postnatal years. Differences in CC measures between adjacent age groups in individuals with ASD were assessed using a Student t-test. Mean and standard deviation scores were compared between ASD and control groups using the Welch t-test. RESULTS: Age showed a moderate positive association with the total length of the CC (r = 0.43; Padj = 0.003) among individuals with ASD. Among the subregions, a positive association was observed only in the anterior midbody of the CC (r = 0.41; Padj = 0.01). No association was found between the age and the height of individual subregions or with the total volume of the CC. In comparison with healthy controls, individuals with ASD exhibited shorter lengths and heights of the genu and splenium of the CC across wide age ranges. CONCLUSION: Overall, our results highlight a distinct abnormal developmental trajectory of CC in ASD, particularly in the genu and splenium structures, potentially reflecting underlying pathophysiological mechanisms that warrant further investigation.
Autism Spectrum Disorder , Corpus Callosum , Magnetic Resonance Imaging , Humans , Male , Corpus Callosum/diagnostic imaging , Corpus Callosum/pathology , Autism Spectrum Disorder/diagnostic imaging , Autism Spectrum Disorder/pathology , Child , Adolescent , Child, Preschool , Female , Image Processing, Computer-Assisted
This study aimed to investigate the mechanism of the effect of TREM2 on cognitive function in autistic mice. TREM2 overexpression and knockdown viruses were given to autism spectrum disorder (ASD) mice and BV2 microglia cell line. To assess cognitive performance, all groups of mice took part in the open field, new object recognition, Morris water maze, and three-box social experiments. Double immunofluorescence labeling demonstrated co-localization of LC3II and NeuN. Proteins from the PI3K/Akt/mTOR pathway were identified. In vivo, behavior studies revealed that TREM2 could successfully improve ASD mice's social interaction and cognitive performance. Besides, we discovered that TREM2 could increase autophagy in ASD mice. In vitro, overexpressing TREM2 reduced the expression of PI3K/AKT/mTOR pathway proteins, whereas knocking down TREM2 increased the expression of PI3K/AKT/mTOR pathway proteins. In conclusion, TREM2 could inhibit PI3K/Akt/mTOR signaling pathway, enhance autophagy, and improve the social communication ability and cognitive function of ASD mice.
Autophagy , Cognition , Membrane Glycoproteins , Microglia , Phosphatidylinositol 3-Kinases , Proto-Oncogene Proteins c-akt , Receptors, Immunologic , Signal Transduction , TOR Serine-Threonine Kinases , Animals , Cognition/physiology , Membrane Glycoproteins/metabolism , Membrane Glycoproteins/genetics , Phosphatidylinositol 3-Kinases/metabolism , Receptors, Immunologic/metabolism , Receptors, Immunologic/genetics , TOR Serine-Threonine Kinases/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Mice , Microglia/metabolism , Male , Autistic Disorder/metabolism , Autistic Disorder/genetics , Autism Spectrum Disorder/metabolism , Autism Spectrum Disorder/genetics , Autism Spectrum Disorder/psychology , Disease Models, Animal , Behavior, Animal , Cell Line , Mice, Inbred C57BL , Social Behavior
Phase-amplitude coupling (PAC) has been used as a powerful tool to understand the mechanism underlying neural binding by investigating neural synchrony across different frequency bands. This study examined the possibility that dysregulated alpha-gamma modulation may be crucially involved in aberrant brain functioning in autism spectrum disorder (ASD). Magnetoencephalographic data were recorded from 13 adult participants with ASD and 16 controls. The time-coursed sources averaged over a primary visual area 1 and fusiform gyrus area were reconstructed with the minimum-norm estimate method. The alpha-gamma PAC was further calculated based on these sources. The statistical analysis was implemented based on the PAC and directed asymmetry index. The results showed the hyper-activity coupling for ASD at the no-face condition and revealed the importance of alpha-gamma phase modulation in detecting a face. Our data provides novel evidence for the role of the alpha-gamma PAC and suggests that the globe connectivity may be more critical during visual perception.
Autism Spectrum Disorder , Magnetoencephalography , Visual Perception , Humans , Autism Spectrum Disorder/physiopathology , Male , Adult , Female , Visual Perception/physiology , Young Adult , Brain Mapping/methods , Case-Control Studies
Mapping brain-behaviour associations is paramount to understand and treat psychiatric disorders. Standard approaches involve investigating the association between one brain and one behavioural variable (univariate) or multiple variables against one brain/behaviour feature ('single' multivariate). Recently, large multimodal datasets have propelled a new wave of studies that leverage on 'doubly' multivariate approaches capable of parsing the multifaceted nature of both brain and behaviour simultaneously. Within this movement, canonical correlation analysis (CCA) and partial least squares (PLS) emerge as the most popular techniques. Both seek to capture shared information between brain and behaviour in the form of latent variables. We provide an overview of these methods, review the literature in psychiatric disorders, and discuss the main challenges from a predictive modelling perspective. We identified 39 studies across four diagnostic groups: attention deficit and hyperactive disorder (ADHD, k = 4, N = 569), autism spectrum disorders (ASD, k = 6, N = 1731), major depressive disorder (MDD, k = 5, N = 938), psychosis spectrum disorders (PSD, k = 13, N = 1150) and one transdiagnostic group (TD, k = 11, N = 5731). Most studies (67%) used CCA and focused on the association between either brain morphology, resting-state functional connectivity or fractional anisotropy against symptoms and/or cognition. There were three main findings. First, most diagnoses shared a link between clinical/cognitive symptoms and two brain measures, namely frontal morphology/brain activity and white matter association fibres (tracts between cortical areas in the same hemisphere). Second, typically less investigated behavioural variables in multivariate models such as physical health (e.g., BMI, drug use) and clinical history (e.g., childhood trauma) were identified as important features. Finally, most studies were at risk of bias due to low sample size/feature ratio and/or in-sample testing only. We highlight the importance of carefully mitigating these sources of bias with an exemplar application of CCA.
Brain , Mental Disorders , Humans , Brain/diagnostic imaging , Brain/physiopathology , Mental Disorders/physiopathology , Autism Spectrum Disorder/physiopathology , Depressive Disorder, Major/physiopathology , Canonical Correlation Analysis , Attention Deficit Disorder with Hyperactivity/physiopathology , Least-Squares Analysis
BACKGROUND: Brief questionnaires that comprehensively capture key restricted and repetitive behaviours (RRBs) across different informants have potential to support autism diagnostic services. We tested the psychometric properties of the 20-item Repetitive Behaviours Questionnaire-3 (RBQ-3), a questionnaire that includes self-report and informant-report versions enabling use across the lifespan. METHOD: In Study 1, adults referred to a specialised adult autism diagnostic service (N = 110) completed the RBQ-3 self-report version, and a relative or long-term friend completed the RBQ-3 informant-report version. Clinicians completed the abbreviated version of the Diagnostic Interview for Social and Communication Disorders (DISCO-Abbreviated) with the same adults as part of the diagnostic process. For half of the assessments, clinicians were blind to the RBQ-3 ratings. We tested internal consistency, cross-informant reliability and convergent validity of the RBQ-3. In Study 2, a follow-up online study with autistic (N = 151) and non-autistic (N = 151) adults, we further tested internal consistency of the RBQ-3 self-report version. We also tested group differences and response patterns in this sample. RESULTS: Study 1 showed good to excellent internal consistency for both self- and informant-report versions of the RBQ-3 (total score, α = 0.90, ω = 0.90, subscales, α = 0.76-0.89, ω = 0.77-0.88). Study 1 also showed cross-informant reliability as the RBQ-3 self-report scores significantly correlated with RBQ-3 informant-report scores for the total score (rs = 0.71) and subscales (rs= 0.69-0.72). Convergent validity was found for both self and informant versions of the RBQ-3, which significantly correlated with DISCO-Abbreviated RRB domain scores (rs = 0.45-0.54). Moreover, the RBQ-3 scores showed significantly weaker association with DISCO -Abbreviated scores for the Social Communication domain, demonstrating divergent validity. Importantly, these patterns of validity were found even when clinicians were blind to RBQ-3 items. In Study 2, for both autistic and non-autistic groups, internal consistency was found for the total score (α = 0.82-0.89, ω = 0.81-0.81) and for subscales (α = 0.68-0.85, ω = 0.69-0.85). A group difference was found between groups. LIMITATIONS: Due to the characteristics and scope of the specialist autism diagnostic service, further testing is needed to include representative samples of age (including children) and intellectual ability, and those with a non-autistic diagnostic outcome. CONCLUSIONS: The RBQ-3 is a questionnaire of RRBs that can be used across the lifespan. The current study tested its psychometric properties with autistic adults without intellectual disability and supported its utility for both clinical diagnostic and research settings.
Psychometrics , Self Report , Humans , Adult , Male , Female , Surveys and Questionnaires , Middle Aged , Young Adult , Reproducibility of Results , Autistic Disorder/diagnosis , Autistic Disorder/psychology , Adolescent , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/psychology
Effective treatment of patients with autism spectrum disorder (ASD) is still absent so far. Taurine exhibits therapeutic effects towards the autism-like behaviour in ASD model animals. Here, we determined the mechanism of taurine effect on hippocampal neurogenesis in genetically inbred BTBR T+ tf/J (BTBR) mice, a proposed model of ASD. In this ASD mouse model, we explored the effect of oral taurine supplementation on ASD-like behaviours in an open field test, elevated plus maze, marble burying test, self-grooming test, and three-chamber test. The mice were divided into four groups of normal controls (WT) and models (BTBR), who did or did not receive 6-week taurine supplementation in water (WT, WT+ Taurine, BTBR, and BTBR+Taurine). Neurogenesis-related effects were determined by Ki67 immunofluorescence staining. Western blot analysis was performed to detect the expression of phosphatase and tensin homologue deleted from chromosome 10 (PTEN)/mTOR/AKT pathway-associated proteins. Our results showed that taurine improved the autism-like behaviour, increased the proliferation of hippocampal cells, promoted PTEN expression, and reduced phosphorylation of mTOR and AKT in hippocampal tissue of the BTBR mice. In conclusion, taurine reduced the autism-like behaviour in partially inherited autism model mice, which may be associa-ted with improving the defective neural precursor cell proliferation and enhancing the PTEN-associated pathway in hippocampal tissue.
Autistic Disorder , Hippocampus , Neurogenesis , PTEN Phosphohydrolase , Proto-Oncogene Proteins c-akt , Signal Transduction , TOR Serine-Threonine Kinases , Taurine , Animals , Taurine/pharmacology , Hippocampus/metabolism , Hippocampus/drug effects , TOR Serine-Threonine Kinases/metabolism , PTEN Phosphohydrolase/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Signal Transduction/drug effects , Neurogenesis/drug effects , Autistic Disorder/metabolism , Autistic Disorder/drug therapy , Male , Behavior, Animal/drug effects , Mice , Disease Models, Animal , Autism Spectrum Disorder/metabolism , Autism Spectrum Disorder/drug therapy , Cell Proliferation/drug effects
INTRODUCTION: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with a multifaceted etiology. This case report explores the ischemic cryptogenic vascular dissection as a potential underlying cause of ASD. METHODS: A 9-year-old child presented with symptoms of ASD, including social interaction difficulties, repetitive behaviors, and cognitive challenges. Despite conventional ASD treatments, significant improvement was only observed after addressing an underlying ischemic cryptogenic vascular dissection identified through DCE-CT. RESULTS: Following a reconstructive treatment approach to the vascular dissection, the patient showed marked improvement in cognitive functions, social abilities, and a reduction in ASD-related symptoms whether during the perioperative period or during approximately 5-month follow-up. CONCLUSION: This case suggests that ischemic cryptogenic vascular dissection may contribute to the symptoms of ASD. Identifying and treating underlying vascular anomalies may offer a new avenue for mitigating ASD symptoms, emphasizing the need for comprehensive diagnostic estimations in ASD management.
Autism Spectrum Disorder , Humans , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/complications , Child , Male , Microcephaly/complications , Microcephaly/diagnosis
BACKGROUND: Categorization and its influence on perceptual discrimination are essential processes to organize information efficiently. Individuals with Autism Spectrum Condition (ASC) are suggested to display enhanced discrimination on the one hand, but also to experience difficulties with generalization and ignoring irrelevant differences on the other, which underlie categorization. Studies on categorization and discrimination in ASC have mainly focused on one process at a time, however, and typically only used either behavioral or neural measures in isolation. Here, we aim to investigate the interrelationships between these perceptual processes using novel stimuli sampled from a well-controlled artificial stimulus space. In addition, we complement standard behavioral psychophysical tasks with frequency-tagging EEG (FT-EEG) to obtain a direct, non-task related neural index of discrimination and categorization. METHODS: The study was completed by 38 adults with ASC and 38 matched neurotypical (NT) individuals. First, we assessed baseline discrimination sensitivity by administering FT-EEG measures and a complementary behavioral task. Second, participants were trained to categorize the stimuli into two groups. Finally, participants again completed the neural and behavioral discrimination sensitivity measures. RESULTS: Before training, NT participants immediately revealed a categorical tuning of discrimination, unlike ASC participants who showed largely similar discrimination sensitivity across the stimuli. During training, both autistic and non-autistic participants were able to categorize the stimuli into two groups. However, in the initial training phase, ASC participants were less accurate and showed more variability, as compared to their non-autistic peers. After training, ASC participants showed significantly enhanced neural and behavioral discrimination sensitivity across the category boundary. Behavioral indices of a reduced categorical processing and perception were related to the presence of more severe autistic traits. Bayesian analyses confirmed overall results. LIMITATIONS: Data-collection occurred during the COVID-19 pandemic. CONCLUSIONS: Our behavioral and neural findings indicate that adults with and without ASC are able to categorize highly similar stimuli. However, while categorical tuning of discrimination sensitivity was spontaneously present in the NT group, it only emerged in the autistic group after explicit categorization training. Additionally, during training, adults with autism were slower at category learning. Finally, this multi-level approach sheds light on the mechanisms underlying sensory and information processing issues in ASC.
Electroencephalography , Humans , Male , Adult , Female , Young Adult , Autistic Disorder/physiopathology , Autistic Disorder/psychology , Discrimination, Psychological , Learning , Photic Stimulation , Visual Perception , Autism Spectrum Disorder/physiopathology , Autism Spectrum Disorder/psychology
BACKGROUND: Autism spectrum disorder (ASD) is currently diagnosed in approximately 1 in 44 children in the United States, based on a wide array of symptoms, including sensory dysfunction and abnormal language development. Boys are diagnosed ~ 3.8 times more frequently than girls. Auditory temporal processing is crucial for speech recognition and language development. Abnormal development of temporal processing may account for ASD language impairments. Sex differences in the development of temporal processing may underlie the differences in language outcomes in male and female children with ASD. To understand mechanisms of potential sex differences in temporal processing requires a preclinical model. However, there are no studies that have addressed sex differences in temporal processing across development in any animal model of ASD. METHODS: To fill this major gap, we compared the development of auditory temporal processing in male and female wildtype (WT) and Fmr1 knock-out (KO) mice, a model of Fragile X Syndrome (FXS), a leading genetic cause of ASD-associated behaviors. Using epidural screw electrodes, we recorded auditory event related potentials (ERP) and auditory temporal processing with a gap-in-noise auditory steady state response (ASSR) paradigm at young (postnatal (p)21 and p30) and adult (p60) ages from both auditory and frontal cortices of awake, freely moving mice. RESULTS: The results show that ERP amplitudes were enhanced in both sexes of Fmr1 KO mice across development compared to WT counterparts, with greater enhancement in adult female than adult male KO mice. Gap-ASSR deficits were seen in the frontal, but not auditory, cortex in early development (p21) in female KO mice. Unlike male KO mice, female KO mice show WT-like temporal processing at p30. There were no temporal processing deficits in the adult mice of both sexes. CONCLUSIONS: These results show a sex difference in the developmental trajectories of temporal processing and hypersensitive responses in Fmr1 KO mice. Male KO mice show slower maturation of temporal processing than females. Female KO mice show stronger hypersensitive responses than males later in development. The differences in maturation rates of temporal processing and hypersensitive responses during various critical periods of development may lead to sex differences in language function, arousal and anxiety in FXS.
Disease Models, Animal , Evoked Potentials, Auditory , Fragile X Mental Retardation Protein , Fragile X Syndrome , Mice, Knockout , Sex Characteristics , Animals , Fragile X Syndrome/physiopathology , Female , Male , Mice , Evoked Potentials, Auditory/physiology , Fragile X Mental Retardation Protein/genetics , Auditory Perception/physiology , Autism Spectrum Disorder/physiopathology , Auditory Cortex/physiopathology , Mice, Inbred C57BL
Background: Autism spectrum disorder (ASD) is a disease characterized by social disorder. Recently, the population affected by ASD has gradually increased around the world. There are great difficulties in diagnosis and treatment at present. Methods: The ASD datasets were obtained from the Gene Expression Omnibus database and the immune-relevant genes were downloaded from a previously published compilation. Subsequently, we used WGCNA to screen the modules related to the ASD and immune. We also choose the best combination and screen out the core genes from Consensus Machine Learning Driven Signatures (CMLS). Subsequently, we evaluated the genetic correlation between immune cells and ASD used GNOVA. And pleiotropic regions identified by PLACO and CPASSOC between ASD and immune cells. FUMA was used to identify pleiotropic regions, and expression trait loci (EQTL) analysis was used to determine their expression in different tissues and cells. Finally, we use qPCR to detect the gene expression level of the core gene. Results: We found a close relationship between neutrophils and ASD, and subsequently, CMLS identified a total of 47 potential candidate genes. Secondly, GNOVA showed a significant genetic correlation between neutrophils and ASD, and PLACO and CPASSOC identified a total of 14 pleiotropic regions. We annotated the 14 regions mentioned above and identified a total of 6 potential candidate genes. Through EQTL, we found that the CFLAR gene has a specific expression pattern in neutrophils, suggesting that it may serve as a potential biomarker for ASD and is closely related to its pathogenesis. Conclusions: In conclusion, our study yields unprecedented insights into the molecular and genetic heterogeneity of ASD through a comprehensive bioinformatics analysis. These valuable findings hold significant implications for tailoring personalized ASD therapies.
Autism Spectrum Disorder , Computational Biology , Genetic Predisposition to Disease , Quantitative Trait Loci , Humans , Autism Spectrum Disorder/genetics , Autism Spectrum Disorder/immunology , Computational Biology/methods , Gene Expression Profiling , Gene Regulatory Networks , Machine Learning , Databases, Genetic , Immunogenetics , Neutrophils/immunology , Neutrophils/metabolism , Transcriptome
Classical metabolomic and new metabolic network methods were used to study the developmental features of autism spectrum disorder (ASD) in newborns (n = 205) and 5-year-old children (n = 53). Eighty percent of the metabolic impact in ASD was caused by 14 shared biochemical pathways that led to decreased anti-inflammatory and antioxidant defenses, and to increased physiologic stress molecules like lactate, glycerol, cholesterol, and ceramides. CIRCOS plots and a new metabolic network parameter, V ° net, revealed differences in both the kind and degree of network connectivity. Of 50 biochemical pathways and 450 polar and lipid metabolites examined, the developmental regulation of the purine network was most changed. Purine network hub analysis revealed a 17-fold reversal in typically developing children. This purine network reversal did not occur in ASD. These results revealed previously unknown metabolic phenotypes, identified new developmental states of the metabolic correlation network, and underscored the role of mitochondrial functional changes, purine metabolism, and purinergic signaling in autism spectrum disorder.
Autism Spectrum Disorder , Metabolic Networks and Pathways , Humans , Autism Spectrum Disorder/metabolism , Child, Preschool , Female , Male , Infant, Newborn , Metabolomics/methods , Metabolome
BACKGROUND: Autism spectrum disorder (ASD) is a lifelong neurological condition which results in social skill deficits, communication difficulties, and restrictive and repetitive behaviour. The difficulties associated with parenting children with ASD have been studied extensively, mainly from the perspectives of mothers. The extent of involvement of fathers in the raising of children with ASD has received limited scholarly attention, especially in non-Western contexts such as the United Arab Emirates. OBJECTIVES: This study asked mothers to evaluate the involvement of fathers in the development of children with ASD. METHODS: In all, 240 mothers completed the Fathers' Involvement in Development and Rehabilitation Scale, designed based on a review of literature on the construct of involvement, namely attitude, participation in training, and support domains. The data were subjected to computation of mean scores, multivariate analysis of variance, hierarchical regression, and moderation analyses. RESULTS: The results suggested that fathers held positive attitudes and provided substantial support to their children with ASD. However, mothers were ambivalent regarding the participation of fathers in training to support the development of their children. Differences were also observed between participants according to marital status, location, child gender, and ASD severity. CONCLUSION: Recommendations for targeted training for fathers and other study implications are discussed.
Autism Spectrum Disorder , Fathers , Mothers , Parenting , Humans , Autism Spectrum Disorder/psychology , United Arab Emirates , Male , Female , Mothers/psychology , Adult , Fathers/psychology , Child , Parenting/psychology , Father-Child Relations , Child, Preschool , Middle Aged
OBJECTIVE: To evaluate the pattern of eye-gaze of preterm (PT), autism spectrum disorder (ASD) and neurotypical (Ty) children. METHODS: A cross-sectional study with eight preterm (born with ≤2000 g weight), nine ASD and five Ty male children, between six and nine years old, was performed. The eye gaze was evaluated presenting a board with a couple in social interaction, and a video with four children playing with blocks, projected in a screen computer, successively, evaluating the time that the children looked at each stimulus. RESULTS: Although all the groups focus on the central social figure with no significant differences, ASD presented significant differences in time fixation of the objects (p=0.021), while premature children fixated more time in the central social interaction than in the whole scene than typical children. CONCLUSIONS: Although this study found noteworthy differences in the eye-gaze patterns among the three groups, additional research with a more extensive participant pool is necessary to validate these preliminary results.
Autism Spectrum Disorder , Fixation, Ocular , Infant, Premature , Humans , Autism Spectrum Disorder/psychology , Male , Cross-Sectional Studies , Child , Female , Fixation, Ocular/physiology , Social Interaction
