Treatment Of Autism Spectrum Disorder Research Articles

The Impact of Sitagliptin on Sodium Valproate-Induced Autism in a Mouse Model

Abstract Background: Autism spectrum disorder (ASD), a neurodevelopmental disease, is described by problems with social interaction and communication that arise at an early age. The only approved drugs for the treatment of ASD are risperidone and aripiprazole. Objectives: The aim of the article is to explore the potential therapeutic effects of sitagliptin on the induced offspring model of autism. Also, to evaluate the effect of sitagliptin on interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α). Materials and Methods: We induced the disorder in mice by injecting pregnant mice with sodium valproate (600 mg/kg). Prenatal sodium valproate–exposed mice were split into four different groups, with two experimental groups taking sitagliptin (10 mg/kg and 15 mg/kg) and risperidone (1 mg/kg), and a control group receiving normal saline. Behavioral tests, including social interaction assessments were divided into three phases: habituation, familiarization, and testing, and lasted for 15 min, were conducted on postnatal day 65; also, anti-inflammatory marker assessments like TNF-α and IL-6 were conducted on postnatal day 66. Results: The study found that sitagliptin significantly improved behavioral disorders (social communication) and reduced neuro-inflammation in the brain. Sitagliptin therapy forcefully enhanced the cognitive function of ASD mice by regulating neurogenesis that could be connected with the powerful antioxidant and anti-inflammatory actions that sitagliptin possesses. Conclusion: Sitagliptin showed potent anxiolytic and anti-inflammatory properties that improved behavioral activities in the mice. These findings suggest that sitagliptin could be promising a potential treatment option for individuals with ASD.

Systematic Review of Parents with Autism Spectrum Disorder (ASD) Children in Southeast Asia: Work-related Factors

Considering the rising cases of ASD among children, this paper aims to investigate the extent to which work-related factors have been examined in studies conducted on parents of children with ASD within the Southeast Asia (SEA) region. Using the PRISMA framework, a search was conducted on three databases (Scopus, PubMed, Web of Science), yielding 38 studies that met the following inclusion criteria: (1) focusing on parents of ASD children, (2) conducted in the SEA region, and (3) articles, excluding systematic and meta-analyses. Of the 38 studies, 24 were from Malaysia, 9 from Singapore, 3 from the Philippines, 1 from Indonesia, and 1 from Vietnam. No articles were found for Brunei, Burma, Myanmar, Cambodia, Timor-Leste, Laos and Thailand. The focus, across the 38 studies, was primarily on the effects of the ASD child's therapies and interventions on parents, followed by parenting stress and quality of life (QOL). Employment-related factors were seen in sub-themes of five studies from Malaysia and Singapore. The review showed a limited focus on employment-related concerns amongst working parents with ASD children within the SEA region. The study's limitations include the lack of studies from other SEA countries such as Brunei, Burma, Myanmar, Cambodia, Timor-Leste, Laos, and Thailand. It is suggested that future research should focus on work-related factors for this underrepresented population while considering the roles of individual, gender, cultural, and religious factors.

Early detection of autism spectrum disorder via deep-learning application of fMRI and machine learning for ASD children identifications

This study unveils an advanced convolutional-neural-network (CNN) algorithm that was meticulously engineered to examine resting-state functional magnetic resonance imaging (fMRI) for early ASD detection in pediatric cohorts. The CNN architecture amalgamates convolutional, pooling, batch-normalization, dropout, and fully connected layers, optimized for high-dimensional data interpretation. Rigorous preprocessing yielded 22,176 two-dimensional echo planar samples from 126 subjects (56 ASD, 70 controls) who were sourced from the Autism Brain Imaging Data Exchange (ABIDE I) repository. The model, trained on 17,740 samples across 50 epochs, demonstrated unparalleled diagnostic metrics – accuracy of 99.39%, recall of 98.80%, precision of 99.85%, and an F1 score of 99.32% – and thereby eclipsed extant computational methodologies. Feature map analyses substantiated the model’s hierarchical feature extraction capabilities. This research elucidates a deep learning framework for computer-assisted ASD screening via fMRI, with transformative implications for early diagnosis and intervention. And, this study addresses the critical need for early detection and intervention in autism spectrum disorder (ASD) using machine learning. Specific therapies are needed for ASD, a neurodevelopmental disease that affects social interaction and communication. To find trends in ASD, our research uses a variety of early childhood screening tests as training sets for machine learning algorithms. The methodology that has been suggested utilizes methods of machine learning to compute the ASD spectrum, considering its many expressions. By using multidisciplinary methods and sophisticated screening instruments, we want to create an accurate system for early ASD detection. Algorithmic transparency, data protection, and ethical considerations are essential. This study seeks to build precise instruments for early ASD detection by promoting collaboration between specialists in neurodevelopment, psychology, and machine learning. A robust instrument that enhances the knowledge of medical practitioners is machine learning. Results show how innovation may transform early interventions and help people on the autistic spectrum achieve enhanced results.

Anti-Inflammatory Interventions for Autism Spectrum Disorder

One of the defining factors of Autism Spectrum Disorder (ASD) is neuroinflammation, which may be targeted to find effective therapies in managing ASD symptoms. Some promising treatments include mesenchymal STEM cell (MSCs) therapy, cxytocin (OT), sulforaphane (SFN), and resveratrol (RSV). MSCs are located in many parts of the body that can reduce secondary neurodegeneration and neuroinflammation while promoting neurogenesis and angiogenesis. OT is a hormone that moderates social and emotional communication, bonding, and social learning, while also having profound antiinflammatory effects. SFN is a naturally occurring compound in cruciferous vegetables, such as broccoli and sprouts, and activates a transcription factor which regulates anti-inflammatory and antioxidant genes. RSV is found in plants, such as grapes and berries, and helps stabilize the central and peripheral immune response and oxidative stress markers, subsequently reducing neuroinflammation. All of these treatments have shown promising potential, but it is abundantly clear that further research is needed in addition to combined therapies. Since ASD is a spectrum, not every case can be treated the exact same way. By targeting neuroinflammation, we can address the root cause of ASD rather than the symptoms.

Exploring the Gut Microbiome - Autism Spectrum Disorder Connection: Implications for Therapeutic Interventions and Future Directions

The gut microbiome, a diverse community of microorganisms in the gastrointestinal tract, is vital for human health and has a symbiotic relationship with the host. Autism spectrum disorder (ASD), a complex condition affecting social interaction, speech, and behavior, manifests early in life and affects 1 in 36 children globally. Research shows a significant link between the gut microbiome and ASD symptoms, with dysbiosis observed in individuals with ASD compared to neurotypical populations. Pathogenic gut microbiota can produce toxins that increase gut permeability, impair the intestinal barrier, and activate the immune system. The vagal nerve, influencing central nervous system (CNS) activity, can release peripheral cytokines inducing depression-like behaviors. Thus, dietary changes and treatments targeting the gut microbiota, such as Microbiota Transfer Therapy (MTT), offer promising methods for treating ASD symptoms. Current research focuses on dietary therapies like gluten-free and casein-free diets, ketogenic diets, and probiotics/prebiotics supplementation to modify the gut microbiota and enhance ASD treatment outcomes. However, more research is needed to fully understand the gut microbiota-ASD connection and establish evidence-based interventions. Individualized approaches are crucial for the safety and effectiveness of therapeutic strategies for ASD. Exploring the gut microbiome's role in ASD offers promising avenues for novel treatments and improved understanding of the disorder.

Understanding autism and its treatment: The child's perspective

IntroductionWhile parents' and professionals’ perceptions regarding children with autism spectrum disorder (ASD) have been studied extensively, limited data regarding the perspectives of children with ASD on their needs and the challenges they face are available. The study aimed to examine how children with ASD understand their condition and the aims of the interventions they undergo. MethodsNineteen children and adolescents (ages 5.7–14.2 years) formally diagnosed with ASD, with borderline to high intelligence (range 70–140), and able to converse verbally were interviewed in person at a child development clinic. A qualitative approach was used to capture children's perceptions of their strengths and challenges and their understanding of a novel ASD treatment. The interview included direct and projective open-ended questions on each topic. Interpretive content analysis was used to evaluate the children's answers. Medical data were extracted from medical records. The children's parents completed questionnaires on their children's disability levels, awareness of ASD diagnosis, and sociodemographic details. FindingsChildren spoke of their embodied sensations and feelings and discussed “normality” vs. “disability.” They varied in their awareness of their diagnosis/symptoms, and only one boy named his diagnosis and described its consequences in detail. Most children lacked an understanding of the educational and therapeutic aspects of the goals set for them. Discussion and conclusionsChildren with ASD are aware of their unique emotional and behavioral challenges. Nevertheless, they are frequently excluded from the process of patient information provision and lack an understanding of the goals of interventions. Findings suggest the need to explore developmentally and emotionally adaptive ways to involve children with ASD in discussions of their condition and possible interventions.

Supplementation with stigma maydis polysaccharide attenuates autism-like behaviors and improves gut function in valproic acid-induced autism model male rats.

Stigma maydis polysaccharide (SMPS) has regulatory effect on the intestinal microflora and promotes gastrointestinal peristalsis. Children with autism spectrum disorder (ASD) often experience gastrointestinal problems and dysbiosis in their gut microbiota. Our previous study revealed that SMPS interventions had an impact on the gut microbiota of valproic acid (VPA)-induced autism model rats. However, the effects of SMPS on the behavior and gut function of autism model rats remain poorly understood. Therefore, we gave different doses of SMPS intervention in the early stage of autism model rats to observe their developmental conditions and behavior performances. Through histological evaluation and real-time polymerase chain reaction (PCR), integrity of the intestinal structure and the expression of tight junction-related gene Zo-1 and Occludin were detected. The results indicated that SMPS intervention improved the physical development, learning and memory impairment, and social performance of autism model rats. Meanwhile, SMPS promoted intestinal peristalsis and restored the integrity of the intestinal structure, reduced the number of inflammatory cells, and increased the expression of the Zo-1 and Occludin genes. Furthermore, the expression levels of neurotransmitters (substance P, enkephalin, vasoactive intestinal peptide, and 5-hydroxytryptamine) in the hippocampal tissues were altered after SMPS treatment. In conclusion, SMPS could ameliorate ASD-like phenotypes and gut problems in autism model rats. Collectively, these results provide new evidence for the relationship between the gut-brain axis and ASD and suggest a novel therapeutic target for ASD treatment.

Feasibility and acceptability of a telehealth intervention for improving peer relationships for adolescents with neurofibromatosis type 1: a single-arm pilot study.

Elevated rates of social difficulties are evident for children and adolescents with neurofibromatosis type 1 (NF1) but the effects of social skills interventions have not been investigated for this population. The Program for the Education and Enrichment of Relational Skills (PEERS®), a widely established social skills intervention in autism spectrum disorders with expansion to other conditions, was recently modified to be offered virtually. This study examined the feasibility and acceptability of this telehealth intervention. 27 adolescents with NF1 with social skills difficulties and at least 1 caregiver enrolled in the study. 19 of those participants (Mage = 14.21 years, SD = 1.63; 7 females; 79% White) completed PEERS® via telehealth in a single-arm pilot study. Dropout rates, attendance records, helpfulness of the curriculum topics and caregiver-reported acceptability, including ratings on the Treatment Acceptability Questionnaire, were examined. Low study drop out (30% of enrolled participants; 14% of participants who began the intervention) and high attendance rates were observed. Caregivers found sessions related to common, everyday interactions most helpful. Adolescents indicated sessions related to having get-togethers and social nuances (e.g., humor) as most helpful. Caregiver ratings indicated acceptability of the intervention. This investigation supported the feasibility and acceptability of telehealth PEERS®, a social skills intervention program, among adolescents with NF1 and their caregivers based on attendance patterns as well as appraisal of the curriculum and telehealth modality.

Effect of probiotics on children with autism spectrum disorders: a meta-analysis

BackgroundResearches have found that alteration of intestinal flora may be closely related to the development of autism spectrum disorder (ASD). However, whether probiotics supplementation has a protective effect on ASD remains controversial. This meta-analysis aimed to analyze the outcome of probiotics in the treatment of ASD children.MethodsThe Pubmed, Cochrane Library, Web of Science and Embase were searched until Sep 2022. Randomized controlled trials (RCTs) relevant to the probiotics and placebo treatment on ASD children were screened. Quality assessment of the included RCTs was evaluated by the Cochrane collaboration’s tool. The primary outcomes were ASD assessment scales, including ABC (aberrant behavior checklist) and CBCL (child behavior checklist) for evaluating the behavior improvement, SRS (social responsiveness scale) for social assessment, DQ (developmental quotient) for physical and mental development and CGI-I (clinical global impression improvement) for overall improvement. The secondary outcome was total 6-GSI (gastrointestinal severity index).ResultsIn total, 6 RCTs from 6 studies with 302 children were included in the systemic review. Total 6-GSI (MD=-0.59, 95%CI [-1.02,-0.17], P < 0.05) decreased significantly after oral administration of probiotics. Whereas, there was no statistical difference in ABC, CBCL, SRS, DQ and CGI-I between probiotics and placebo groups in ASD children.ConclusionProbiotics treatment could improve gastrointestinal symptoms, but there was no significant improvement in ASD.

Modulation of Gut Microbiome and Autism Symptoms of ASD Children Supplemented with Biological Response Modifier: A Randomized, Double-Blinded, Placebo-Controlled Pilot Study.

The etiology and mechanisms of autism and autism spectrum disorder (ASD) are not yet fully understood. There is currently no treatment for ASD for providing significant improvement in core symptoms. Recent studies suggest, however, that ASD is associated with gut dysbiosis, indicating that modulation of gut microbiota in children with ASD may thus reduce the manifestation of ASD symptoms. The aim of this pilot study (prospective randomized, double-blinded, placebo-controlled) was to evaluate efficacy of the biological response modifier Juvenil in modulating the microbiome of children with ASD and, in particular, whether Juvenil is able to alleviate the symptoms of ASD. In total, 20 children with ASD and 12 neurotypical children were included in our study. Supplementation of ASD children lasted for three months. To confirm Juvenil's impact on the gut microbiome, stool samples were collected from all children and the microbiome's composition was analyzed. This pilot study demonstrated that the gut microbiome of ASD children differed significantly from that of healthy controls and was converted by Juvenil supplementation toward a more neurotypical microbiome that positively modulated children's autism symptoms.

Comprehensive Analysis of Gut Microbiota Composition and Functional Metabolism in Children with Autism Spectrum Disorder and Neurotypical Children: Implications for Sex-Based Differences and Metabolic Dysregulation.

This study aimed to investigate the gut microbiota composition in children with autism spectrum disorder (ASD) compared to neurotypical (NT) children, with a focus on identifying potential differences in gut bacteria between these groups. The microbiota was analyzed through the massive sequencing of region V3-V4 of the 16S RNA gene, utilizing DNA extracted from stool samples of participants. Our findings revealed no significant differences in the dominant bacterial phyla (Firmicutes, Bacteroidota, Actinobacteria, Proteobacteria, Verrucomicrobiota) between the ASD and NT groups. However, at the genus level, notable disparities were observed in the abundance of Blautia, Prevotella, Clostridium XI, and Clostridium XVIII, all of which have been previously associated with ASD. Furthermore, a sex-based analysis unveiled additional discrepancies in gut microbiota composition. Specifically, three genera (Megamonas, Oscilibacter, Acidaminococcus) exhibited variations between male and female groups in both ASD and NT cohorts. Particularly noteworthy was the exclusive presence of Megamonas in females with ASD. Analysis of predicted metabolic pathways suggested an enrichment of pathways related to amine and polyamine degradation, as well as amino acid degradation in the ASD group. Conversely, pathways implicated in carbohydrate biosynthesis, degradation, and fermentation were found to be underrepresented. Despite the limitations of our study, including a relatively small sample size (30 ASD and 31 NT children) and the utilization of predicted metabolic pathways derived from 16S RNA gene analysis rather than metagenome sequencing, our findings contribute to the growing body of evidence suggesting a potential association between gut microbiota composition and ASD. Future research endeavors should focus on validating these findings with larger sample sizes and exploring the functional significance of these microbial differences in ASD. Additionally, there is a critical need for further investigations to elucidate sex differences in gut microbiota composition and their potential implications for ASD pathology and treatment.

THE USE OF CANNABIDIOL IN PEDIATRIC DENTISTRY PATIENTS WITH AUTISM SPECTRUM DISORDER: INTEGRATIVE REVIEW

This research project aims to conduct a literature review on the use of cannabidiol (CBD) in pediatric dental patients diagnosed with Autism Spectrum Disorders (ASD). The focus will be on the intersection between pediatric dentistry and ASD treatment, aiming to fill a substantial gap in the scientific and clinical understanding of the subject. The integrated approach provides a solid foundation for informed decision-making by healthcare professionals, family members, and caregivers. The central problem of the research lies in the need for substantial evidence supporting the efficacy and safety of CBD in this specific patient group. The absence of reliable data poses significant challenges for making informed decisions about the pediatric dental treatment of children with ASD, impacting the quality of life for these patients. Therefore, the adopted methodology will involve a literature search, using exclusively recently published articles from the last 5 years, available in databases such as PUBMED and SCIELO, among other relevant sources. The main objective of this literature review is to assess the efficacy of CBD in managing symptoms associated with ASD in pediatric dental contexts, considering its potential therapeutic benefits and possible side effects. The research aims to fill this gap by establishing a comprehensive investigation into the use of CBD in children with ASD, directing its attention to specific implications for oral health.

Recovery of adults with autism spectrum disorder during intensive inpatient treatment: a qualitative study.

Although some adults with autism spectrum disorder (ASD) require intensive and specialized ASD treatment, there is little research on how these adults experience the recovery process. Recovery is defined as the significant improvement in general functioning compared to the situation prior to treatment. This qualitative study describes the recovery process from the perspective of adults on the autism spectrum during intensive inpatient treatment. Semi-structured interviews (n = 15) were carried out and analyzed according to the principles of grounded theory. Our results indicate that, given the specific characteristics of autism, therapeutic interventions and goal-oriented work cannot be carried out successfully, and the recovery process cannot begin, if no good working relationship has been established, and if care is not organized in ways that a person on the autism spectrum finds clear and predictable.

A Mendelian randomization study of the effect of mental disorders on cardiovascular disease.

The effect of mental disorders (MD) on cardiovascular disease (CVD) remains controversial, and this study aims to analyze the causal relationship between eight MD and CVD by Mendelian randomization (MR). Single nucleotide polymorphisms of attention-deficit/hyperactivity disorder (ADHD), anorexia nervosa (AN), anxiety disorder (ANX), autism spectrum disorder (ASD), bipolar disorder (BD), depression, obsessive-compulsive disorder (OCD), schizophrenia (SCZ), and CVD were obtained from UK Biobank and FinnGen. Exposure-outcome causality was tested using inverse variance weighted (IVW), MR-Egger, and weighted median. Horizontal pleiotropy and heterogeneity were assessed by MR-Egger intercept and Cochran's Q, respectively, while stability of results was assessed by leave-one-out sensitivity analysis. MR analysis showed that ANX (IVW [odds ratio (OR) 1.11, 95% confidence intervals (CI) 1.07-1.15, p < 0.001]; MR-Egger [OR 1.03, 95% CI 0.92-1.14, p = 0.652]; weighted median [OR 1.09, 95% CI 1.03-1.14, p = 0.001]), ASD (IVW [OR 1.05, 95% CI 1.00-1.09, p = 0.039]; MR-Egger [OR 0.95, 95% CI 0.84-1.07, p = 0.411]; weighted median [OR 1.01, 95% CI 0.96-1.06, p = 0.805]), depression (IVW [OR 1.15, 95% CI 1.10-1.19, p < 0.001]; MR-Egger [OR 1.10, 95% CI 0.96-1.26, p = 0.169]; weighted median [OR 1.13, 95% CI 1.08-1.19, p < 0.001]) were significantly associated with increased risk of CVD, whereas ADHD, AN, BD, OCD, and SCZ were not significantly associated with CVD (p > 0.05). Intercept analysis showed no horizontal pleiotropy (p > 0.05). Cochran's Q showed no heterogeneity except for BD (p = 0.035). Sensitivity analysis suggested that these results were robust. ANX, ASD, and depression are associated with an increased risk of CVD, whereas AN, ADHD, BD, OCD, and SCZ are not causally associated with CVD. Active prevention and treatment of ANX, ASD, and depression may help reduce the risk of CVD.

Unraveling the Spectrum: A Comprehensive Review of Autism Spectrum Disorder in India.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by deficits in social interaction, communication difficulties, and repetitive behaviors that profoundly impact the lives of affected individuals and their families. This article provides a comprehensive overview of ASD, focusing on screening, diagnosis, and intervention strategies. Early signs of ASD can manifest in infancy, but parents may not recognize them until their child falls behind in meeting social milestones. This delay in recognition is often due to a lack of awareness, societal stigma, and limited knowledge about developmental and behavioral disorders. Globally, ASD prevalence is increasingpotentially due to broader diagnostic criteria, increased awareness, and improved screening practices. Screening for ASD is crucial for early identification and intervention. Various tools are available such as the Modified Checklist for Autism in Toddlers (M-CHATs), Trivandrum Autism Behavioral Checklist (TABC), and the Social Communication Questionnaire (SCQ). Diagnosing ASD involves using established criteria such as the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and specific diagnostic tools like the Autism Diagnostic Observation Schedule (ADOS) and the Indian Scale for the Assessment of Autism (ISAA). Interventions for ASD should be multidisciplinary, involving professionals such as developmental pediatricians, psychologists, psychiatrists, special educators, occupational therapists, physiotherapists, speech therapists, and social workers. Applied behavior analysis (ABA), naturalistic developmental behavioral interventions (NDBIs), and parent-mediated treatment are among the evidence-based approaches. Additionally, speech-language therapy, motor therapy, and sensory integration therapy play vital roles in addressing the diverse needs of individuals with ASD. Medical interventions should be used alongside behavioral and environmental strategies. Early screening, accurate diagnosis, and tailored interventions are essential for improving the lives of individuals with ASD. A multidisciplinary approach and increased awareness are crucial in addressing the growing prevalence of ASD worldwide.

Posterior default mode network is associated with the social performance in male children with autism spectrum disorder: A dynamic causal modeling analysis based on triple-network model.

The triple-network model has been widely applied in neuropsychiatric disorders including autism spectrum disorder (ASD). However, the mechanism of causal regulations within the triple-network and their relations with symptoms of ASD remains unclear. 81 male ASD and 80 well matched typically developing control (TDC) were included in this study, recruited from Autism Brain Image Data Exchange-I datasets. Spatial reference-based independent component analysis was used to identify the anterior and posterior part of default-mode network (aDMN and pDMN), salience network (SN), and bilateral executive-control network (ECN) from resting-state functional magnetic resonance imaging data. Spectral dynamic causal model and parametric empirical Bayes with Bayesian model reduction/average were adopted to explore the effective connectivity (EC) within triple-network and the relationship between EC and autism diagnostic observation schedule (ADOS) scores. After adjusting for age and site effect, ASD and TDC groups both showed inhibition patterns. Compared with TDC, ASD group showed weaker self-inhibition in aDMN and pDMN, stronger inhibition in pDMN→aDMN, weaker inhibition in aDMN→LECN, pDMN→SN, LECN→SN, and LECN→RECN. Furthermore, negative relationships between ADOS scores and pDMN self-inhibition strength, as well as with the EC of pDMN→aDMN were observed in ASD group. The present study reveals imbalanced effective connections within triple-networks in ASD children. More attentions should be focused at the pDMN, which modulates the core symptoms of ASD and may serve as an important region for ASD diagnosis and the target region for ASD treatments.

Human-derived fecal microbiota transplantation alleviates social deficits of the BTBR mouse model of autism through a potential mechanism involving vitamin B6 metabolism.

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition characterized by social communication deficiencies and stereotypic behaviors influenced by hereditary and/or environmental risk factors. There are currently no approved medications for treating the core symptoms of ASD. Human fecal microbiota transplantation (FMT) has emerged as a potential intervention to improve autistic symptoms, but the underlying mechanisms are not fully understood. In this study, we evaluated the effects of human-derived FMT on behavioral and multi-omics profiles of the BTBR mice, an established model for ASD. FMT effectively alleviated the social deficits in the BTBR mice and normalized their distinct plasma metabolic profile, notably reducing the elevated long-chain acylcarnitines. Integrative analysis linked these phenotypic changes to specific Bacteroides species and vitamin B6 metabolism. Indeed, vitamin B6 supplementation improved the social behaviors in BTBR mice. Collectively, these findings shed new light on the interplay between FMT and vitamin B6 metabolism and revealed a potential mechanism underlying the therapeutic role of FMT in ASD.IMPORTANCEAccumulating evidence supports the beneficial effects of human fecal microbiota transplantation (FMT) on symptoms associated with autism spectrum disorder (ASD). However, the precise mechanism by which FMT induces a shift in the microbiota and leads to symptom improvement remains incompletely understood. This study integrated data from colon-content metagenomics, colon-content metabolomics, and plasma metabolomics to investigate the effects of FMT treatment on the BTBR mouse model for ASD. The analysis linked the amelioration of social deficits following FMT treatment to the restoration of mitochondrial function and the modulation of vitamin B6 metabolism. Bacterial species and compounds with beneficial roles in vitamin B6 metabolism and mitochondrial function may further contribute to improving FMT products and designing novel therapies for ASD treatment.

Evaluating the Effectiveness of Using Virtual Reality Interventions on Children and Adolescents with Autism Spectrum Disorder: A Systematic Review

Background: Autism spectrum disorder (ASD) is a Psychopathic disorder characterized by abnormal communication and verbal behaviors. ASD is very common in children, affecting about 1 in 160 individuals, and the symptoms of this disorder appear before the age of three, and the main cause is still unknown. The effectiveness of this technology on the abilities required for people with ASD to communicate in a social setting has been the subject of several systematic and comprehensive studies. Methods: A systematic review by searching in PubMed, EMBASE and CINAHL for publications was conducted from 1 January 2012 to 30 May 2021 involving use of virtual reality interventions on children and adolescents with autism spectrum disorder in which autism, autism spectrum disorder, ASD, virtual reality, VR keywords were utilized. Three reviewers independently investigated search results for inclusion in analysis and resolved disagreements by consensus. Results: Literature research of databases specifies a total of 808 records. According to the abstract and the full text of the studies, after applying the inclusion and exclusion criteria and eliminating duplicates and screening articles, 15 articles were selected for final review based on the PICO criteria (population, intervention, comparison and results). The studies focused on the five topics of emotion and social interaction, social communication, daily life skills, specific fears and anxieties, physical activity, and attention. Conclusion: According to reports, the findings rightly claim that the use of virtual reality technologies not only improves the social and communication skills of children with ASD, but also provides them with an engaging and enjoyable experience. Moreover, Parents indicated high satisfaction with VR applications and this technology can contain many benefits in the treatment of ASD.

Juvenile peripheral LPS exposure overrides female resilience to prenatal VPA effects on adult sociability in mice

Autism spectrum disorder (ASD) exhibits a gender bias, with boys more frequently affected than girls. Similarly, in mouse models induced by prenatal exposure to valproic acid (VPA), males typically display reduced sociability, while females are less affected. Although both males and females exhibit VPA effects on neuroinflammatory parameters, these effects are sex-specific. Notably, females exposed to VPA show increased microglia and astrocyte density during the juvenile period. We hypothesized that these distinct neuroinflammatory patterns contribute to the resilience of females to VPA. To investigate this hypothesis, we treated juvenile animals with intraperitoneal bacterial lipopolysaccharides (LPS), a treatment known to elicit brain neuroinflammation. We thus evaluated the impact of juvenile LPS-induced inflammation on adult sociability and neuroinflammation in female mice prenatally exposed to VPA. Our results demonstrate that VPA-LPS females exhibit social deficits in adulthood, overriding the resilience observed in VPA-saline littermates. Repetitive behavior and anxiety levels were not affected by either treatment. We also evaluated whether the effect on sociability was accompanied by heightened neuroinflammation in the cerebellum and hippocampus. Surprisingly, we observed reduced astrocyte and microglia density in the cerebellum of VPA-LPS animals. These findings shed light on the complex interactions between prenatal insults, juvenile inflammatory stimuli, and sex-specific vulnerability in ASD-related social deficits, providing insights into potential therapeutic interventions for ASD.

Investigating multiclass autism spectrum disorder classification using machine learning techniques

The diagnosis and classification of autism spectrum disorder (ASD) presents anatomical difficulty owing to the existence of a wide range of symptoms that may be organized into many categories. The present research investigates the efficacy of machine learning methods for facilitating the recognition of individuals who have been diagnosed with ASD. The primary aim of this study has been to assess the effectiveness of multiple algorithms based on machine learning in identifying intricate patterns seen in datasets related to ASD, which includes a wide range of diagnostic categories. The results indicate that the Logistic Regression approach demonstrated great levels of accuracy, with rates of 94.3 % for children and 99 % for adolescents in the binary classification system. Similarly, it has been reported that the Support Vector Machine (SVM) had superior performance compared to all other systems in the binary classification test focused on adults exclusively, with an accuracy rate of 98.5 %. Moreover, a supplementary series of experiments conducted on the combined dataset of children, adolescents, and adults has resulted in the observation that Logistic Regression and SVM exhibited notable accuracy rates of 97.2 % for binary classification and 99.55 % for multiclass classification, encompassing individuals from diverse age groups. The results provide evidence in favor of that progress has been achieved in the diagnosis and treatment of ASD as a result of the capacity to detect and categorize the disorder at an earlier developmental phase.