ASD Symptom Severity Research Articles

The biological modeling of autism spectrum disorders

IntroductionAutism Spectrum Disorders (ASD) are heterogeneous pathological conditions characterized by difficulties in establishing social contacts and the manifestation of repetitive behavior. An atypical trajectory of brain maturation, impaired neurogenesis, synaptogenesis, and an imbalance in the excitatory and inhibitory systems of the CNS form the morphofunctional basis of the ASDObjectivesscientific publicationsMethodsscientific analysisResultsThese pathological changes appear at different stages of brain maturation They are the result of multifactorial environmental influences. To understand the functioning of this complexly organized system in time and space, a three-dimensional model is needed. The closest in vitro model of the human brain from early embryonic stages to aging is brain organoids. Human brain organoids are self-organizing three-dimensional cell aggregates derived from pluripotent stem cells. Organoids summarize neurogenesis, gliogenesis, synaptogenesis, cell migration and cell differentiation, gyrification of the cerebral cortex, reflect the connections of brain regions. The use of a 3D brain model makes it possible to simulate diseases, reactions to drugs in cells obtained from patients. The use of telencephalon organoids in the ASD model revealed that neuronal migration deficiency, acceleration and disruption of cell cycle synchronization, aberrant cell proliferation, abundant synaptogenesis, temporary deviations in the development of the cortex, increased branching of neurons, unbalanced inhibitory differentiation of neurons, high activity of ion channels are the result of impaired activity FOXG1. FOXG1 is responsible for the overproduction of GABAergic neurons. The shift towards GABAergic neurons induced by FOXG1 is positively correlated with the severity of ASD symptoms and is seen as a precursor to the future of ASDConclusionsThus, ASD as a socially significant disease with a heterogeneous type of inheritance, multi-link pathogenesis, realized in different periods of ontogenesis and involving different brain loci, requires special attention of researchers for the personification of diagnosis and therapy. The hiPSCs can provide insight into the cellular mechanisms underlying ASD as a neuropsychiatric disorder, providing access to the development of platforms for in vitro drug screening and patient-tailored therapy.Disclosure of InterestNone Declared

Caregiver-child interaction as an effective tool for identifying autism spectrum disorder: evidence from EEG analysis

BackgroundAutism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic.MethodsWe enrolled 85 preschool children (Mean age: 4.90 ± 0.65 years, 70.6% male), including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation among behavioral indicators scores and ASD symptom severity and PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators.ResultsCompared to TD group, both ASD groups demonstrated significant lower scores of SIC, IT, RSC, CIS (all p values < 0.05), and significant higher time for GIS (all p values < 0.01). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. Compared to TD group, PSD values elevated in ASD groups (all p values < 0.05), and was associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%).ConclusionOur results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening.

Psychiatric Comorbidities in Children and Adolescents with High-Functioning Autism Spectrum Disorder: A Study on Prevalence, Distribution and Clinical Features in an Italian Sample.

This study investigated the prevalence and distribution of psychiatric comorbidities in a group of 472 children and adolescents with ASD aged 3-18 years. We examined differences in age, sex, IQ, adaptive skills, and ASD symptom severity by comparing participants with ASD (ASD group) with participants with ASD and a psychiatric disorder (ASD/PSY group). Overall, 32.2% of participants had a comorbid psychiatric condition. Attention deficit/hyperactivity disorder (ADHD) was the most frequent diagnosis among preschoolers (20.4%); among school-age children, ADHD and anxiety/obsessive-compulsive disorders were the most frequent conditions (21% and 10.6%, respectively); finally, adolescents exhibit higher prevalence of anxiety/obsessive-compulsive disorders (21.8%). The ASD/PSY group showed a higher percentage of males, they were older and showed lower adaptive skills than the group with ASD; moreover, their mothers exhibited higher stress levels than mothers of participants in the ASD group. The comparison between age groups in participants within ASD/PSY group revealed that preschoolers had lower IQ than school-age children and adolescents, and worse adaptive skills, more repetitive behaviors, and restricted interests than adolescents. This study highlights the importance of an accurate diagnosis of psychiatric comorbidities in children and adolescents with ASD, also considering individual and family impairment.

Spatial Language and Cognition in Autistic Preschoolers.

ASD is associated with relative strengths in the visuospatial domain but varying abilities in the linguistic domain. Previous studies suggest parallels between spatial language and spatial cognition in older autistic individuals, but no research to date has examined this relationship in young autistic children. Therefore, the purpose of the present study was to investigate the connection between children's spatial language production and nonverbal spatial cognition over time. We also examined two potential predictors of spatial language observed in previous literature, ASD symptom severity and parent spatial language input. In past work investigating spatial language in NT children of the same age, parent-child interactions have been a primary context for study. Therefore, in the present study, we analyzed transcripts of dyadic naturalistic play interactions between autistic children and their parents over three visits from age 30 to 66 months and administered standardized cognitive and ASD diagnostic assessments at each visit. Spatial language production was related to nonverbal spatial cognition even when accounting for overall language production, though the strength of that relationship decreased over time. Parent spatial input (but not ASD severity) significantly predicted children's spatial language production over and above the effect of overall language production. Spatial language is associated with spatial cognition in young autistic children and appears to reflect the interaction of overall linguistic skills and nonverbal spatial cognitive ability regardless of autism severity. Parent-mediated interventions may be a promising context for increasing spatial language in autistic preschoolers.

Immune activation during pregnancy exacerbates ASD-related alterations in Shank3-deficient mice

BackgroundAutism spectrum disorder (ASD) is mainly characterized by deficits in social interaction and communication and repetitive behaviors. Known causes of ASD are mutations of certain risk genes like the postsynaptic protein SHANK3 and environmental factors including prenatal infections.MethodsTo analyze the gene-environment interplay in ASD, we combined the Shank3Δ11−/− ASD mouse model with maternal immune activation (MIA) via an intraperitoneal injection of polyinosinic/polycytidylic acid (Poly I:C) on gestational day 12.5. The offspring of the injected dams was further analyzed for autistic-like behaviors and comorbidities followed by biochemical experiments with a focus on synaptic analysis.ResultsWe show that the two-hit mice exhibit excessive grooming and deficits in social behavior more prominently than the Shank3Δ11−/− mice. Interestingly, these behavioral changes were accompanied by an unexpected upregulation of postsynaptic density (PSD) proteins at excitatory synapses in striatum, hippocampus and prefrontal cortex.LimitationsWe found several PSD proteins to be increased in the two-hit mice; however, we can only speculate about possible pathways behind the worsening of the autistic phenotype in those mice.ConclusionsWith this study, we demonstrate that there is an interplay between genetic susceptibility and environmental factors defining the severity of ASD symptoms. Moreover, we show that a general misbalance of PSD proteins at excitatory synapses is linked to ASD symptoms, making this two-hit model a promising tool for the investigation of the complex pathophysiology of neurodevelopmental disorders.

Sialic acid and anti-ganglioside M1 antibodies are invaluable biomarkers correlated with the severity of autism spectrum disorder

BackgroundAutism spectrum disorders (ASD) are devastating neurodevelopmental disorders that showed global increased prevalence. They are characterized by impairment of social communication and stereotyped patterns. ObjectiveThis study aimed at measuring the levels of total sialic acid (SA) and anti-ganglioside M1 (anti- GM1) IgG antibodies as essential biomarkers in a cohort of children with ASD to identify their diagnostic yield as well as their correlation with the severity of autistic behaviors. MethodsThe demographic characteristics, anthropometric measurements, and clinical data were recorded. The levels of total plasma SA and serum anti-GM1 IgG antibodies levels were measured in 100 children with ASD and 100 healthy controls. The severity of ASD-related symptoms was assessed by using the Childhood Autism Rating Scale (CARS). ResultsChildren with ASD had significantly higher levels of both SA and anti-GM1 antibodies than healthy controls (p < 0.001). SA showed a statistically significant moderate diagnostic performance while anti-GM1 antibody showed a statistically significant high diagnostic in differentiating severe from mild to moderate autism. Moreover, both SA and anti-GM1 antibodies levels were significantly correlated to the severity of ASD symptoms (p < 0.001). ConclusionThe significantly increased levels of SA and anti-GM1 antibodies in children with ASD and their correlation with autism-related symptoms suggest their possible etiopathogenic role in autism as one of the pediatric autoimmune neuropsychiatric disorders. However, further large-scale studies are still needed to explore their possible bidirectional relationship as biomarkers for autism.

Acute stress and PTSD among trauma-exposed children and adolescents: Computational prediction and interpretation

BackgroundYouth receiving medical care for injury are at risk of PTSD. Therefore, accurate prediction of chronic PTSD at an early stage is needed. Machine learning (ML) offers a promising approach to precise prediction and interpretation. AimsThe study proposes a clinically useful predictive model for PTSD 6–12 months after injury, analyzing the relationship among predictors, and between predictors and outcomes. MethodsA ML approach was utilized to train models based on 1167 children and adolescents of nine perspective studies. Demographics, trauma characteristics and acute traumatic stress (ASD) symptoms were used as initial predictors. PTSD diagnosis at six months was derived using DSM-IV PTSD diagnostic criteria. Models were validated on external datasets. Shapley value and partial dependency plot (PDP) were applied to interpret the final model. ResultsA random forest model with 13 predictors (age, ethnicity, trauma type, intrusive memories, nightmares, reliving, distress, dissociation, cognitive avoidance, sleep, irritability, hypervigilance and startle) yielded F-scores of.973,0.902 and.961 with training and two external datasets. Shapley values were calculated for individual and grouped predictors. A cumulative effect for intrusion symptoms was observed. PDP showed a non-linear relationship between age and PTSD, and between ASD symptom severity and PTSD. A 43 % difference in the risk between non-minority and minority ethnic groups was detected. ConclusionsA ML model demonstrated excellent classification performance and good potential for clinical utility, using a few easily obtainable variables. Model interpretation gave a comprehensive quantitative analysis on the operations among predictors, in particular ASD symptoms.

Computer-Based Assessment and Self-Report Measures of Executive Functions in High-Functioning Adults with Autism.

This study analyzes the profile of executive functions (EF) in high-functioning adults with autism (HFA), both in terms of performance on four computer-based tasks, as well as how these functions are perceived by the individuals through self-reporting measures. The study included 64 participants: 32 individuals with HFA, and 32 typically developing controls. Four CANTAB tasks were used (assessing spatial working memory, planning, visual memory, and inhibition), as well as a self-reported measure of executive functions (BDEFS) and a scale for the severity of autism symptoms (RAADS-R). The participants in the ASD group performed significantly lower than the control group on all four computer-based tasks, as measured by the total number of errors made (for the spatial working memory, visual memory, and inhibition tasks) and the number of problems solved at the first choice (for the planning task). No correlation was found in the ASD group between the severity of autism symptoms and the computer-based measures. These findings provide evidence that HFA adults may have various executive functioning impairments, and subsequent daily life problems, but these deficits do not necessarily correlate with the severity of core ASD symptoms.

ASD Symptoms, Social Skills, and Comorbidity: Predictors of Bullying Perpetration.

Children with ASD are more likely to be involved in bullying compared to typically developing peers; however, studies rarely examine bullying perpetration and the contributing factors among this population. The primary aim of this study was to examine the extent to which parent-reported ASD symptoms, social skills, and comorbid externalizing and internalizing symptoms predicted bullying perpetration in a sample of 390 children with ASD without intellectual disability. Findings from hierarchical regression analyses indicated that social skill deficits, externalizing symptoms (i.e., hyperactivity, aggression, and conduct problems), and depressive symptoms were associated with higher likelihood of bullying perpetration, while severity of ASD symptoms and anxiety were not significant predictors. Further research is needed to better understand bullying perpetration among children with ASD.

Use of quantitative electroencephalography as a marker of severity of patients with autism spectrum disorder

Autism spectrum disorder is a neurodevelopmental disorder with increasing prevalence over the past years. Its grading depends on a time-consuming Scales like CARS, ADOS and GARS scales. Our aim is to study if quantitative EEG can be used as a marker of ASD severity. This is a cross sectional study conducted in the period from September 2021 till March 2022. It included 53 patients (41 males and12 females, with age ranging between 3 and 12 years) diagnosed by an experienced psychiatrist according to DSM5 criteria. Patients were recruited from 4 autism centers in Al-Hillah city. All patients were assessed by history, physical examination and Gilliam autism rating scale (GARS 3). Then they undergo quantitative electroencephalographic recording in awake state. The study results showed that spectral power of delta wave both total and regional were significantly increased as the severity of ASD symptoms increased, while alpha spectral power was decreased with increasing severity of ASD. Beta and theta spectral power was unchanged. Also, at cut off value of power spectrum of delta of =27 Mv, give 75% sensitivity and 100 specificity for grading severe ASD.

Autistic symptoms in people with schizophrenia: Neurocognitive, socio-cognitive, clinical and real-world functional characteristics of individuals without autistic features

ObjectiveAutism spectrum disorders (ASD) symptoms are frequent in people living with schizophrenia spectrum disorders (SSD) and have a relevant impact on their daily life. However, current literature is mostly focused on investigating correlates of high levels of ASD symptoms, leaving largely unexplored the clinical, neurocognitive, socio-cognitive and functional characterization of individuals with minimal or absent ASD symptoms, which may represent a peculiar sub-population. MethodsA total of 361 patients (mean age 41.7 years; 117 females) included in the SCOPE study were assessed with clinical, neurocognitive, socio-cognitive, functional capacity, social skills and real-world functioning measures. The severity of ASD symptoms was assessed with the PANSS Autism Severity Scale (PAUSS): individuals with a PAUSS score < 10 were considered without significant ASD symptoms. ResultsSeventy-two (19.95%) participants had no significant ASD symptoms and presented a less severe clinical status, as well as a better cognitive and socio-cognitive performance and functional profile. Lower non-autistic SSD symptoms severity and better social skills, functional capacity, global cognitive and Theory of Mind/Mental State Attribution (as measured by the Hinting task) performance and real-world social relationships emerged as predictors of non-ASD symptoms status in the logistic regression analyses. ConclusionIndividuals without ASD symptoms represent a minority of people diagnosed with SSD that appears to be characterized by specific correlates, resulting in a less severe situation and more positive outcomes. As these factors could have a relevant impact on treatment response, assessing the severity of ASD symptoms could be an important step required to define a personalized treatment.

Effect of COVID-19 Stay-at-Home Restrictions on Parent Reported Symptom Severity and Adaptive Functioning of Youth with ASD.

This study assessed the potential short-term effects of COVID-19 stay-at-home restrictions on ratings of ASD and comorbid symptoms severity and adaptive functioning of 69 youth, ages 8–16 years with ASD without intellectual disability. Parent/caregiver ratings were being collected in fall and spring over approximately two years when the restrictions were imposed four months prior to the final data collection point. Results indicated no significant changes in parent/caregiver ratings of ASD symptom severity, comorbid symptoms severity, social skills, or adaptive behaviors following the stay-at-home restrictions and little variability across the four data collection points. Although findings suggested minimal short-term effects on these symptoms and adaptive skills, ongoing monitoring is needed to assess longer-term impacts.

Psychometric properties of the Cambridge-Mindreading Face-Voice Battery for Children in children with ASD.

This study examined the psychometric characteristics of the Cambridge-Mindreading Face-Voice Battery for Children (CAM-C) for a sample of 333 children, ages 6-12 years with ASD (with no intellectual disability). Internal consistency was very good for the Total score (0.81 for both Faces and Voices) and respectable for the Complex emotions score (0.72 for Faces and 0.74 for Voices); however, internal consistency was lower for Simple emotions (0.65 for Faces and 0.61 for Voices). Test-retest reliability at 18 and 36 weeks was very good for the faces and voices total (0.76-0.81) and good for simple and complex faces and voices (0.53-0.75). Significant correlations were found between CAM-C Faces and scores on another measure of face-emotion recognition (Diagnostic Analysis of Nonverbal Accuracy-Second Edition), and between Faces and Voices scores and child age, IQ (except perceptual IQ and Simple Voice emotions), and language ability. Parent-reported ASD symptom severity and the Emotion Recognition scale on the SRS-2 were not related to CAM-C scores. Suggestions for future studies and further development of the CAM-C are provided. LAY SUMMARY: Facial and vocal emotion recognition are important for social interaction and have been identified as a challenge for individuals with autism spectrum disorder. Emotion recognition is an area frequently targeted by interventions. This study evaluated a measure of emotion recognition (the CAM-C) for its consistency and validity in a large sample of children with autism. The study found the CAM-C showed many strengths needed to accurately measure the change in emotion recognition during intervention.

Investigating health-related knowledge and independence for physical and mental health conditions in young adults with autism spectrum disorder

BackgroundYoung adults with autism spectrum disorder’s (YA-ASD) ability to manage their healthcare needs is imperative as they transition to adult care. MethodThis study evaluated YA-ASD’s knowledge and care-seeking behavior for Physical and Mental Health (PH/MH) conditions. Caregivers (n = 501), of YA-ASD 16–25 years completed surveys. This study examined the extent to which YA-ASD could describe and seek care for their physical and mental health conditions (i.e. describing and care-seeking behaviors). Multivariate analyses further evaluated YA-ASD’s ability to and predictors of describing and care-seeking behaviors. ResultsYA-ASD had high rates of PH and MH conditions. Describing and careseeking behavior was significantly higher for PH versus MH conditions (p < .001).Regression analysis showed similar predictors for describing and care-seeking behaviors regardless of condition type. Intellectual disability and ASD-symptom severity were strong predictors (p < .001). ConclusionsResults reveal a need for interventions focusing on empowering YAASD to manage MH conditions.

Sleep Dysregulation and Daytime Electrodermal Patterns in Children With Autism: A Descriptive Study

Sleep deficiency influences emotion and behavior regulation but the mechanisms of influence are poorly understood. Emotion, behavioral, and sleep theories highlight differences in autonomic function as a potential pathway of influence and research in typical populations draw links between sleep deficiency and autonomic dysregulation (e.g., elevated reactivity within the sympathetic nervous system). In populations at elevated risk for sleep deficiency/problems (i.e., individuals with autism), greater variability in sleep and autonomic/arousal profiles may be particularly informative. Using electrodermal activity (EDA) as an indicator of sympathetic nervous system activation, this descriptive pilot study aimed to document daytime EDA patterns in children with autism and to explore their relations with sleep dysregulation/deficiency. EDA and sleep were measured using ankle and wrist worn sensors in 13 children (Meanage 6.11 years). EDA indices included nonspecific skin conductance responses (NSSCR) and tonic skin conductance levels (SCL). Descriptively, children in the dysregulated sleep group had fewer NSSCRs and lower SCL in the afternoon. This blunted physiological arousal profile/pattern is consistent with previous research, but this is the first study to explore how sleep may be linked. Notably, this pattern may not reflect sleep but an overall dysregulation profile which in this sample included: dysregulated sleep, a blunted afternoon arousal profile, and elevated ASD symptom severity. Replication with larger, more diverse samples is needed to disentangle the complex relations among sleep, arousal, and ASD behavioral features. However, this study represents an important first step in documenting extended daytime arousal patterns.

The Relationship of Severity of Autism with Gastrointestinal Symptoms and Serum Zonulin Levels in Autistic Children

To evaluate the relationship between the severity of autism, severity of gastrointestinal symptoms and serum zonulin levels as a marker of increased intestinal permeability in children. Serum zonulin levels were determined in 56 children with ASDs and 55 healthy children. The severity of gastrointestinal symptoms and ASD symptoms was assessed with the Gastrointestinal Symptom Rating Scale (GSRS) and Childhood Autism Rating Scale (CARS), respectively. Serum zonulin levels were significantly higher than healthy controls in children with severe autism. A positive correlation was found between the CARS score, GSRS score and serum zonulin levels (r = ; P < .001). Our findings suggest that the severity of gastrointestinal symptoms and severity of autism might be related to increased intestinal permeability in ASDs children.

Parent-Teacher Disagreement on Ratings of Behavior Problems in Children with ASD: Associations with Parental School Involvement Over Time.

ASD symptomology and behavioral problems pose challenges for children with ASD in school. Disagreement between parents and teachers in ratings of children's behavior problems may provide clinically relevant information. We examined parent-teacher disagreement on ratings of behavior problems among children with ASD during the fall and spring of the school year. When child, teacher, and class characteristics were considered simultaneously, only ASD symptom severity predicted informant disagreement on internalizing and externalizing behavior problems. We also examined associations between informant disagreement and parent school involvement. Cross-lagged panel analyses revealed that higher informant disagreement on children's behavior problems in the fall predicted lower parent school involvement in the spring, suggesting that greater informant agreement may foster parental school involvement over time.

Beliefs about causes of autism and vaccine hesitancy among parents of children with autism spectrum disorder

Vaccine hesitancy may be more common among parents of children with autism spectrum disorder (ASD). We examined factors associated with ASD-specific vaccine hesitancy among caregivers of children with ASD who participated in the SPARK study (Simons Foundation Powering Autism Research for Knowledge). 225 participants completed an online survey containing the Parent Attitudes About Childhood Vaccines (PACV) questionnaire (measure of vaccine hesitancy) and the Illness Perception Questionnaire revised for parents of children with ASD (IPQ-R-ASD; measure of parents’ views about ASD). 65 participants (28.8%) were vaccine hesitant (PACV score ≥ 50); children of vaccine-hesitant parents (VHPs) were less likely to be first born (n = 27, 41.5%), had greater ASD-symptom severity (mean Social Communication Questionnaire score = 23.9, SD = 6.9), and were more likely to have experienced developmental regression (n = 27, 50.9%) or plateau (n = 37, 69.8%). Compared to non-hesitant parents, VHPs significantly more often endorsed accident/injury, deterioration of the child’s immune system, diet, environmental pollution, general stress, parents’ negative views, parents’ behaviors/decisions, parents’ emotional state, and vaccines as causes for ASD. VHPs also had higher scores on the Personal Control, Treatment Control, Illness Coherence, and Emotional Representations subscales of the IPQ-R than did non-hesitant parents. In the final model, ASD-related vaccine hesitancy was significantly associated with higher scores on the Emotional Representations subscale (OR = 1.13, p = 0.10), agreement with deterioration of the child’s immunity as a cause of ASD (OR = 12.47, p < 0.001), the child not having achieved fluent speech (OR = 2.67, p = 0.17), and the child experiencing a developmental plateau (OR = 3.89, p = 0.002). Findings suggest that a combination of child functioning and developmental history, as well as parents’ negative views about and their sense of control over ASD, influence vaccine hesitancy among parents of children with ASD.

Correlations between temperament and autistic trait measures – Quantitative or qualitative differences between children with and without autism spectrum disorders?

BackgroundThe study tested the spectrum hypothesis, which claims that children with Autism Spectrum Disorder with normal intelligence differ in terms of temperament from typically developing peers quantitatively and not qualitatively. Severity of autistic traits was also taken into account and the question whether temperament may serve as predictor for autistic traits was tested. MethodsParticipants included 352 children, aged 4–11 years, from the general population and 79 children with an ASD diagnosis. Parents completed questionnaires about the severity of autistic traits and temperament of their children. ResultsQuantitatively, differences in means were found between ASD and non-clinical groups in terms of emotionality, sociability, activity and shyness. Qualitatively, in the ASD group, there was higher variance in autistic traits, as well as sociability, activity, and shyness. There were also differences between ASD and non-clinical groups in internal consistency with respect to autistic traits and shyness but not activity, sociability and emotionality. In addition, the relationship between shyness and autistic traits was stronger in the ASD group than in the non-clinical group. ConclusionsThe results do not definitively confirm the spectrum hypothesis but further research is needed with better control for the severity of ASD symptoms in study groups and more sophisticated statistical analysis methods.

Probiotics: A Therapeutic Tool to Manage the Children with Autism Spectrum Disorder

Autism Spectrum Disorder is a developmental disorder that affects communication and behaviour. Children with ASD are 4 times more likely to experience gastrointestinal symptoms as compared to children without ASD due to less diversity of bacteria in their gut. The gastrointestinal dysbiosis has been considered as the most important contributing factor of increasing GIT symptoms among children with ASD. Evidence suggested that alteration in the intestinal micro flora is connected with the severity of ASD symptoms. Probiotic therapy has been proposed as a therapeutic tool for augmented gastrointestinal symptom severity among children with ASD. This narrative review systematically searched the literature to provide an update to Teachers and Nutritionist about the therapeutic role of probiotics to manage the children with ASD by reducing gastrointestinal symptoms. A total of 200 articles were screened and 5 articles met the inclusion criteria. There is promising evidence to suggest that probiotic therapy may improve gastrointestinal dysbiosis and reduce the severity of the ASD symptoms among children with ASD. Further research is needed in this context, to recommend about dosage and duration of treatment.