Autism Group Research Articles

Toward understanding autism heterogeneity: Identifying clinical subgroups and neuroanatomical deviations.

Autism spectrum disorder ("autism") is a neurodevelopmental condition characterized by substantial behavioral and neuroanatomical heterogeneity. This poses significant challenges to understanding its neurobiological mechanisms and developing effective interventions. Identifying phenotypically more homogeneous subgroups and shifting the focus from average group differences to individuals is a promising approach to addressing heterogeneity. In the present study, we aimed to parse clinical and neuroanatomical heterogeneity in autism by combining clustering of clinical features with normative modeling based on neuroanatomical measures (cortical thickness [CT] and subcortical volume) within the Autism Brain Imaging Data Exchange data sets (N autism = 861, N nonautistic individuals [N NAI] = 886, age range = 5-64). First, model-based clustering was applied to autistic symptoms as measured by the Autism Diagnostic Observation Schedule to identify clinical subgroups of autism (N autism = 499). Next, we ran normative modeling on CT and subcortical parcellations (N autism = 690, N NAI = 744) and examined whether clinical subgrouping resulted in increased neurobiological homogeneity within the subgroups compared to the entire autism group by comparing their spatial overlap of neuroanatomical deviations. We further investigated whether the identified subgroups improved the accuracy of autism classification based on the neuroanatomical deviations using supervised machine learning with cross-validation. Results yielded two clinical subgroups primarily differing in restrictive and repetitive behaviors (RRBs). Both subgroups showed increased homogeneity in localized deviations with the high-RRB subgroup showing increased volume deviations in the cerebellum and the low-RRB subgroup showing decreased CT deviations predominantly in the postcentral gyrus and fusiform cortex. Nevertheless, substantial within-group heterogeneity remained highlighted by the lack of improvement of the classifier's performance when distinguishing between the subgroups and NAI. Future research should aim to further reduce heterogeneity incorporating additional neuroanatomical clustering in even larger samples. This will eventually pave the way for more tailored behavioral interventions and improving clinical outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Chinese 10-Item Empathy Quotient and Systemising Quotient-Revised: Internal Consistency, Test-Retest Reliability, Known-Groups Validity, and Sex Differences in Autistic and Non-Autistic Adults.

The 10-item version of the Empathy Quotient (EQ-10) and the Systemising Quotient-Revised (SQ-R-10) were originally developed in the English-speaking population. However, little is known about the reliability of these measures. There is also extremely limited research translating or evaluating any translated version of these 10-item measures. The present study translated the measures into Chinese and evaluated the Chinese 10-item EQ (C-EQ-10) and SQ-R (C-SQ-R-10). An online survey consisting of the C-EQ-10 and the C-SQ-R-10 was completed by 698 non-autistic adults and 43 autistic adults in Hong Kong. Internal consistency of the measures was satisfactory in the autistic group (α = 0.60-0.63) and good in the non-autistic group (α = 0.76-0.82). Test-retest reliability was high in both the autistic group (r = .76-0.81) and the non-autistic group (r = .80-0.84). On average, the autistic group had significantly lower empathising than did the non-autistic group (Cohen's d = -1.21), and there was a trend of higher systemising in the autistic group than in the non-autistic group (Cohen's d = 0.20). On average, within the non-autistic group, males had significantly lower empathising (Cohen's d = -0.57) and significantly higher systemising (Cohen's d = 0.33) than did females. These average sex differences were attenuated and non-significant in the autistic group. Distribution patterns of "brain types" based on empathising-systemising difference scores seem to suggest that "brain types" are shifted towards systemising types in autistic or male participants. The C-EQ-10 and the C-SQ-R-10 are valid and reliable measures.

Assessing the utility of a telehealth autism spectrum disorder assessment battery including the TELE-ASD-PEDS and the BASC-3

Objectives The goal of this research was to examine aspects of utility of an autism diagnostic tool created for telehealth use: the TELE-ASD-PEDS. This research also assessed associated clinical characteristics related to other behavior scales commonly used to assess children. Three hypotheses were examined: (1) Children with different diagnoses will have different scores on the TELE-ASD-PEDS; (2) There will be a positive correlation between the TELE-ASD-PEDS total score and the clinical subscales of the Behavior Assessment System for Children, 3rd edition (BASC-3); and (3) There will be a negative correlation between the TELE-ASD-PEDS and other selected subscales of the BASC-3. Methods Participants included children referred to a rural, Appalachian, state-funded, autism diagnostic clinic. A one-way ANOVA was conducted to compare TELE-ASD-PEDS scores with diagnoses received. TELE-ASD-PEDS scores and BASC-3 subscale scores were compared through bivariate correlation. Results When compared to the Autism group, both the Rule Out and the No Autism groups had lower scores on the TELE-ASD-PEDS. The BASC-3 subscale Withdrawal had a positive correlation with the TELE-ASD-PEDS. Finally, the adaptive subscales in the BASC-3 Social Skills, Functional Communication, and Activities of Daily Living had negative correlations with the TELE-ASD-PEDS. Conclusions Current data provided partial support for all hypotheses.

Conversational topic maintenance and related cognitive abilities in autistic versus neurotypical children.

Children who struggle to maintain conversation with peers often have fewer friends and lower popularity ratings, which can affect wellbeing. Verbal social communication more broadly is linked to both behavioural difficulties and emotional problems. We carried out three studies to examine children's ability to provide responses which keep a back and forth conversation going. The first study found that while autistic children had on average greater difficulties than their neurotypical peers with certain aspects of conversation topic maintenance, for other aspects the autistic group showed considerable strengths. Both studies 2 (neurotypical children) and 3 (autistic children) found relationships between, on the one hand, conversational ability, and on the other, the ability to consider another's viewpoint and the ability to maintain and update information in short term memory. We suggest support for social conversation skills should be part of mainstream classroom curricula for autistic and neurotypical children alike.

Machine learning's effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait.

Research supporting the presence of diverse motor impairments, including impaired balance coordination, in children with autism spectrum disorder (ASD) is increasing. The one-legged standing test (OLST) is a popular test of balance. Since machine learning is a powerful technique for learning predictive models from movement data, it can objectively evaluate the processes involved in OLST. This study assesses machine learning's effectiveness in evaluating movement in OLST for predicting high autistic trait. In this study, 64 boys and 62 girls participated. The participants were instructed to stand on one leg on a pressure sensor while facing the experimenter. The data collected in the experiment were time-series data pertaining to pressure distribution on the sole of the foot and full-body images. A model to identify the participants belonging to High autistic trait group and Low autistic trait group was developed using a support vector machine (SVM) algorithm with 16 explanatory variables. Further, classification models were built for the conventional, proposed, and combined explanatory variable categories. The probabilities of High autistic trait group were calculated using the SVM model. For proposed and combined variables, the accuracy, sensitivity, and specificity scores were 1.000. The variables shoulder, hip, and trunk are important since they explain the balance status of children with high autistic trait. Further, the total Social Responsiveness Scale score positively correlated with the probability of High autistic trait group in each category of explanatory variables. Results indicate the effectiveness of evaluating movement in OLST by using movies and machine learning for predicting high autistic trait. In addition, they emphasize the significance of specifically focusing on shoulder and waist movements, which facilitate the efficient predicting high autistic trait. Finally, studies incorporating a broader range of balance cues are necessary to comprehensively determine the effectiveness of utilizing balance ability in predicting high autistic trait.

Neural Mechanisms of Social Interaction Perception: Observing Interpersonal Synchrony Modulates Action Observation Network Activation and Is Spared in Autism.

How the temporal dynamics of social interactions are perceived arguably plays an important role in how one engages in social interactions and how difficulties in establishing smooth social interactions may occur. One aspect of temporal dynamics in social interactions is the mutual coordination of individuals' behaviors during social interaction, otherwise known as behavioral interpersonal synchrony (IPS). Behavioral IPS has been studied increasingly in various contexts, such as a feature of the social interaction difficulties inherent to autism. To fully understand the temporal dynamics of social interactions, or reductions thereof in autism, the neural basis of IPS perception needs to be established. Thus, the current study's aim was twofold: to establish the basic neuro-perceptual processing of IPS in social interactions for typical observers and to test whether it might differ for autistic individuals. In a task-based fMRI paradigm, participants viewed short, silent video vignettes of humans during social interactions featuring a variation of behavioral IPS. The results show that observing behavioral IPS modulates the Action Observation Network (AON). Interestingly, autistic participants showed similar neural activation patterns as non-autistic participants which were modulated by the behavioral IPS they observed in the videos, suggesting that the perception oftemporal dynamics of social interactions is spared and may not underly reduced behavioral IPS often observed in autism. Nevertheless, a general difference in processing social interactions was found in autistic observers, characterized by decreased neural activation in the right middle frontal gyrus, angular gyrus, and superior temporal areas. These findings demonstrate that although the autistic and non-autistic groups indeed differed in the neural processing of social interaction perception, the temporal dynamics of these social interactions were not the reason for these differences in social interaction perception in autism. Hence, spared recruitment of the AON for processing temporal dynamics of social interactions in autism does not account for the widely reported attenuation of IPS in autism and for the widely reported and presently observed differences in social interaction perception in autism.

11C-UCB-J PET imaging is consistent with lower synaptic density in autistic adults.

The neural bases of autism are poorly understood at the molecular level, but evidence from animal models, genetics, post-mortem studies, and single-gene disorders implicate synaptopathology. Here, we use positron emission tomography (PET) to assess the density of synapses with synaptic vesicle glycoprotein 2A (SV2A) in autistic adults using 11C-UCB-J. Twelve autistic (mean (SD)age 25 (4)years; six males), and twenty demographically matched non-autistic individuals (26 (3)years; eleven males) participated in a 11C-UCB-J PET scan. Binding potential, BPND, was the primary outcome measure and computed with the centrum semiovale as the reference region. Partial volume correction with Iterative Yang was applied to control for possible volumetric differences. Mixed-model statistics were calculated for between-group differences. Relationships to clinical characteristics were evaluated based on clinician ratings of autistic features. Whole cortex synaptic density was 17% lower in the autism group (p = 0.01). All brain regions in autism had lower 11C-UCB-J BPND compared to non-autistic participants. This effect was evident in all brain regions implicated in autism. Significant differences were observed across multiple individual regions, including the prefrontal cortex (-15%, p = 0.02), with differences most pronounced in gray matter (p < 0.0001). Synaptic density was significantly associated with clinical measures across the whole cortex (r = 0.67, p = 0.02) and multiple regions (rs = -0.58 to -0.82, ps = 0.05 to <0.01). The first in vivo investigation of synaptic density in autism with PET reveals pervasive and large-scale lower density in the cortex and across multiple brain areas. Synaptic density also correlated with clinical features, such that a greater number of autistic features were associated with lower synaptic density. These results indicate that brain-wide synaptic density may represent an as-yet-undiscovered molecular basis for the clinical phenotype of autism and associated pervasive alterations across a diversity of neural processes.

Delay of Gratification in Preschoolers with Autism and Concerns for ADHD.

Self-regulation abilities in childhood are predictive of a range of challenges later in life, making it important to identify difficulties in this area as early as possible. Autistic children and those with attention-deficit/hyperactivity disorder (ADHD) often have difficulties with self-regulation, but little is known about the similarities and differences in such abilities across neurodevelopmental conditions. We examined self-regulation using a delay of gratification task in 36-month-old autistic children (n = 20), those showing clinically relevant concerns for ADHD (i.e. ADHD Concerns; n = 24), and Comparison children without these conditions (n = 130); early predictors of self-regulation were also assessed. Both the Autism and ADHD Concerns groups had greater difficulty waiting for a desired snack than the Comparison group. At the longest delay trial (30 seconds), a substantial percentage of autistic children (50%) and those with ADHD Concerns (35%) consumed the snack prematurely, in contrast to only 16% of the Comparison group. Parent-reported temperament-based impulsivity at 18 months and examiner-observed ADHD-like traits at 24 months were associated with increased self-regulation challenges at 36 months, regardless of group. Adjusting for verbal abilities attenuated some of these differences and associations, suggesting that language may be an important mechanism undergirding early self-regulatory abilities. Given possible links between preschool self-regulation and a range of critical functional outcomes, future studies may explore the efficacy of early interventions targeting impulsivity and regulatory behaviors in infants and toddlers at elevated likelihood for developing self-regulation challenges to potentially reduce the impact of these difficulties later in life.

Comparative effect of atorvastatin and risperidone on modulation of TLR4/NF-κB/NOX-2 in a rat model of valproic acid-induced autism

BackgroundAutism spectrum disorder (ASD) is a complex neurodevelopmental condition that is significantly increasing, resulting in severe distress. The approved treatment for ASD only partially improves the sympoms, but it does not entirely reverse the symptoms. Developing novel disease-modifying drugs is essential for the continuous improvement of ASD. Because of its pleiotropic effect, atorvastatin has been garnered attention for treating neuronal degeneration. The present study aimed to investigate the therapeutic effects of atorvastatin in autism and compare it with an approved autism drug (risperidone) through the impact of these drugs on TLR4/NF-κB/NOX-2 and the apoptotic pathway in a valproic acid (VPA) induced rat model of autism.MethodsOn gestational day 12.5, pregnant rats received a single IP injection of VPA (500 mg/kg), for VPA induced autism, risperidone and atorvastatin groups, or saline for control normal group. At postnatal day 21, male offsprings were randomly divided into four groups (n = 6): control, VPA induced autism, risperidone, and atorvastatin. Risperidone and atorvastatin were administered from postnatal day 21 to day 51. The study evaluated autism-like behaviors using the three-chamber test, the dark light test, and the open field test at the end of the study. Biochemical analysis of TLR4, NF-κB, NOX-2, and ROS using ELISA, RT-PCR, WB, histological examination with hematoxylin and eosin and immunohistochemical study of CAS-3 were performed.ResultsMale offspring of prenatal VPA-exposed female rats exhibited significant autism-like behaviors and elevated TLR4, NF-κB, NOX-2, ROS, and caspase-3 expression. Histological analysis revealed structural alterations. Both risperidone and atorvastatin effectively mitigated the behavioral, biochemical, and structural changes associated with VPA-induced rat model of autism. Notably, atorvastatin group showed a more significant improvement than risperidone group.ConclusionsThe research results unequivocally demonstrated that atorvastatin can modulate VPA-induced autism by suppressing inflammation, oxidative stress, and apoptosis through TLR4/NF-κB/NOX-2 signaling pathway. Atorvastatin could be a potential treatment for ASD.Graphical

Intranasal Insulin Eases Autism in Rats via GDF-15 and Anti-Inflammatory Pathways.

In rat models, it is well-documented that chronic administration of propionic acid (PPA) leads to autism-like behaviors. Although the intranasal (IN) insulin approach is predominantly recognized for its effects on food restriction, it has also been shown to enhance cognitive memory by influencing various proteins, modulating anti-inflammatory pathways in the brain, and reducing signaling molecules such as interleukins. This study seeks to explore the potential therapeutic benefits of IN insulin in a rat model of autism induced by PPA. Thirty male Wistar albino rats were categorized into three cohorts: the control group, the PPA-induced autism (250 mg/kg/day intraperitoneal PPA dosage for five days) group, treated with saline via IN, and the PPA-induced autism group, treated with 25 U/kg/day (250 µL/kg/day) insulin via IN. All treatments were administered for 15 days. After behavioral testing, all animals were euthanized, and brain tissue and blood samples were collected for histopathological and biochemical assessments. Following insulin administration, a substantial reduction in autism symptoms was observed in all three social behavior tests conducted on the rats. Moreover, insulin exhibited noteworthy capabilities in decreasing brain MDA, IL-2, IL-17, and TNF-α levels within autism models. Additionally, there is a notable elevation in the brain nerve growth factor level (p < 0.05) and GDF-15 (p < 0.05). The assessment of cell counts within the hippocampal region and cerebellum revealed that insulin displayed effects in decreasing glial cells and inducing a significant augmentation in cell types such as the Purkinje and Pyramidal cells. The administration of insulin via IN exhibits alleviating effects on autism-like behavioral, biochemical, and histopathological alterations induced by PPA in rats. Insulin-dependent protective effects show anti-inflammatory, anti-oxidative, and neuroprotective roles of insulin admitted nasally.

Disfluencies as a Window into Pragmatic Skills in Russian-Hebrew Bilingual Autistic and Non-Autistic Children

AbstractThere is little research on the production of speech disfluencies such as silent pauses, repetitions, self-corrections, and filled pauses (e.g., eh, em) in monolingual autistic children, and there is no data on this crucial part of speech production in bilingual autistic children. This study aims to address this gap by examining disfluency production in bilingual autistic and non-autistic children across two linguistically distinct languages, HL-Russian (the home language) and SL-Hebrew (the societal language). Fifty-one bilingual Russian-Hebrew-speaking autistic and non-autistic children aged 5–9 (autistic: n = 21; non-autistic: n = 30), matched for age and non-verbal intelligence, participated in picture-based story-generation tasks (LITMUS MAIN, Gagarina et al., ZAS Papers in Linguistics, 63:1–36, 2019). Audio recordings of narrative samples were transcribed, coded, and scored for eleven disfluency types using CLAN tools. The non-autistic group produced higher overall disfluency rate than the autistic group. The autistic group exhibited fewer filled and silent pauses than the non-autistic group in HL-Russian. Furthermore, non-autistic children manifested varied distribution of disfluency types across languages, while autistic children displayed more consistent patterns across languages. In summary, we replicated findings from previous research on monolinguals only partly, as no between-group difference in filled pauses was found in SL-Hebrew. Additionally, bilingual autistic children exhibited language-universal patterns of disfluency production, whereas their non-autistic peers displayed language-specific patterns.

High autistic traits linked with reduced performance on affective task switching: An ERP study

Few studies have investigated affective flexibility in individuals with high autistic traits. In the present study, we employed affective task-switching paradigm combined with event related potential (ERP) technology to explore affective flexibility in individuals with high autistic traits. Participants were instructed to switch between identifying the gender (gender task) and emotion (emotion task) of presented faces. Two groups of participants were recruited based on the Autism Spectrum Quotient (AQ) scores: a High Autistic Group (HAG) and a Low Autistic Group (LAG). The results confirmed that the HAG exhibited greater behavioral emotion switch costs and increased N2 and decreased P3 components when switching to the emotion task. Additionally, we identified an affective asymmetric switch cost in the HAG, where the switch cost for the emotion task was larger than for the gender task at both behavioral and electrophysiological levels. In contrast, a symmetrical switch cost was observed in the LAG. These findings indicate that the HAG experiences difficulties with affective flexibility, particularly in tasks involving emotional processing. The patterns of affective asymmetric switch costs observed in both groups differed from previous results in autistic children and the general population, suggesting that the relative dominance of gender and emotion tasks may vary between the two groups. We propose that the dominance of emotion tasks declines as autistic traits increase.

Structural Learning in Autistic and Non-Autistic Children: A Replication and Extension.

The hippocampus is involved in many cognitive domains which are difficult for autistic individuals. Our previous study using a Structural Learning task that has been shown to depend on hippocampal functioning found that structural learning is diminished in autistic adults (Ring et al., 2017). The aim of the present study was to examine whether those results can be replicated in and extended to a sample of autistic and non-autistic children. We tested 43 autistic children and 38 non-autistic children with a subsample of 25 autistic and 28 non-autistic children who were well-matched on IQ. The children took part in a Simple Discrimination task which a simpler form of compound learning, and a Structural Learning task. We expected both groups to perform similarly in Simple Discrimination but reduced performance by the autism group on the Structural Learning task, which is what we found in both the well-matched and the non-matched sample. However, contrary to our prediction and the findings from autistic adults in our previous study, autistic children demonstrated a capacity for Structural Learning and showed an overall better performance in the tasks than was seen in earlier studies. We discuss developmental differences in autism as well as the role of executive functions that may have contributed to better than predicted task performance in this study.

Urine metabolomic profiles of autism and autistic traits-A twin study.

Currently, there are no reliable biomarkers for autism diagnosis. The heterogeneity of autism and several co-occurring conditions are key challenges to establishing these. Here, we used untargeted mass spectrometry-based urine metabolomics to investigate metabolic differences for autism diagnosis and autistic traits in a well-characterized twin cohort (N = 105). We identified 208 metabolites in the urine samples of the twins. No clear, significant metabolic drivers for autism diagnosis were detected when controlling for other neurodevelopmental conditions. However, we identified nominally significant changes for several metabolites. For instance, phenylpyruvate (p = 0.019) and taurine (p = 0.032) were elevated in the autism group, while carnitine (p = 0.047) was reduced. We furthermore accounted for the shared factors, such as genetics within the twin pairs, and report additional metabolite differences. Based on the nominally significant metabolites for autism diagnosis, the arginine and proline metabolism pathway (p = 0.024) was enriched. We also investigated the association between quantitative autistic traits, as measured by the Social Responsiveness Scale 2nd Edition, and metabolite differences, identifying a greater number of nominally significant metabolites and pathways. A significant positive association between indole-3-acetate and autistic traits was observed within the twin pairs (adjusted p = 0.031). The utility of urine biomarkers in autism, therefore, remains unclear, with mixed findings from different study populations.

What Silent Pauses Can 'Tell' Us About the Storytelling Skills of Autistic Children: Relations Between Pausing, Language Skills and Executive Functions.

Silent pauses may serve communicative purposes such as demarcating boundaries between discourse units in language production. Previous research has shown that autistic children differ in their pausing behavior from typically-developing (TD) peers, however, the factors behind this difference remain underexplored. The current study was aimed at comparing the use of silent pauses in the narrative production of autistic children and age-matched TD children, and also to identify possible relations between pausing behavior and the children's language and executive function abilities. According to the study's findings, the autistic children did not differ from their TD peers in the use of grammatical pauses, however, the former tended to produce significantly less syntactically complex narratives than the TD group, which increased the likelihood that the autistic group would pause appropriately at phrasal boundaries. Thoughwe have found low rates of ungrammatical silent pauses and omitted pauses in obligatory discourse contexts across both groups, autistic children with lower cognitive flexibility tended to use more ungrammatical pauses than their peers with higher cognitive flexibility scores. Also, the autistic group tended to omit obligatory silent pauses more often as their narration became more complex. The results demonstrate that syntactic complexity in narrative production modulated autistic children's pausing behavior, and that structurally simple narrations boosted the autistic group's appropriate use of grammatical pauses. The overall findings also demonstrate the importance of studying silent pauses in the narrative discourse of autistic children, and also highlight the links between silent pauses and the children's syntactic and cognitive skills.

Eating Behaviors and Its Determinants: A Cross-Sectional Study In Autistic and Non-Autistic Children

Aim: Autism has increased globally, and it impacts nutrition. Factors related to mealtime behaviors of autistic children are understudied, especially in low-and-middle-income countries. Thus, this study aims to compare the eating and mealtime behaviours of autistic children (n=60) with a non-autistic sample (n=62) from Istanbul, Türkiye. Material and Methods: Parents were asked to complete a face-to-face questionnaire that included Children's Eating Behavior Inventory (CEBI) and anthropometric measures. MANCOVAs were used for comparing factors scores of CEBI between autistic and non-autistic participants by adjusting for potential covariates. Results: “Child’s Positive Eating Behavior” and “Adverse conditions in terms of child at the mealtime” (such as vomiting and choking) factors differed significantly depending on the autism status although negative eating behaviors during and after the mealtime were present in both groups. No statistically significant differences were found between the autism and comparison group on BMI percentile along with age and sex of the children. Conclusion: Our results highlight the need for evaluating the nutrition status of children at every age by not only using anthropometric measures and dietary intake, but also assessing eating behaviors. Families could be guided on regulating their children's nutritional behaviors by focusing on development of positive attitudes.

Salivary Transcriptome and Mitochondrial Analysis of Autism Spectrum Disorder Children Compared to Healthy Controls.

Autism rates have been reported to be increasing rapidly in industrialized societies. The pathology most often combines neurological symptoms associated with language and social impairments with gastrointestinal symptoms. This study aimed to measure differences in oral metatranscriptome and mitochondrial health between ASD children and neurotypical USA and Colombia ("Blue Zone") children. In addition, this study aimed to determine whether using prebiotics and probiotics would change the oral microbiome and mitochondrial health of ASD children. Buccal swabs and saliva samples were obtained from 30 autistic individuals (USA) at three intervals: prior to intervention, post-prebiotic, and post-probiotic. In addition, a subject component who were neurotypical, which included individuals from the USA (30) and Colombia (30), had buccal swabbing and salivary sampling performed for metatranscriptomic and mitochondrial comparison. Significant differences were observed in the temporal data, demonstrating shifts that interventions with probiotics and polyols may have precipitated. Particular bacterial strains were significantly more prevalent in the autism group, including a strain that reduced neurotransmitter levels via enzymatic degradation. This supports the hypothesis that the microbiome may influence the occurrence and degree of autism. Verbal skills increased in six of the 30 ASD subjects following xylitol and three more after probiotic supplementation, according to both parental reports and the subjects' healthcare providers.

The potential neuroprotective effects of Spirulina platensis in a valproic acid-induced experimental model of autism in the siblings of albino rats: targeting PIk3/AKT/mTOR signalling pathway

ABSTRACT Introduction: Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders with poor social interaction, communication issues, aberrant motor movements, and limited repetitive interests and behaviour. Spirulina platensis (SP) contains several multi-nutrients and has a wide range of neuroprotective properties. Aim: The target of the current experiment is to detect the protective effects of S. platensis on valproic-induced autism in adult female albino rats’ siblings for the first time. Materials and Methods: Twelve Pregnant rats were separated into four main groups; Group I (control); Group II (S. platensis); Group III (autistic group); and Group IV (autistic SP-treated group). Fifteen offspring pups from each group were sacrificed, brain was divided for biochemical analysis as superoxide dismutase and malondialdehyde were evaluated spectrophotometrically while interleukin-6, interleukin-12, Bcl-2-associated X protein, B-cell lymphoma-2, Beclin-1, brain-derived neurotrophic factor were assessed by ELISA, other division of brain were used for gene expression of PI3k, Akt and mTOR pathway, last division of brain were stained using (H&E) and Giemsa stains. Tumour necrosis factor alpha (TNF- α ) and Synaptophysin (SYN) markers were used for immunohistochemical staining. Results: Autistic Group (III) showed an increment in levels of MDA, IL-6, IL12 and BAX while showing a decrement in SOD, Bcl-2 and Beclin-1 as well as increased PI3k, Akt and mTOR gene expression. Autistic Group (III) also exhibited hypocellularity and disorganization of hippocampal and prefrontal cortex cells. The autistic SP-treated group (IV) showed improvement in these biochemical markers and pathological changes. Our findings suggest that Spirulina platensis will be significant in managing autism.

Lipid Profiles and Liver Enzymes in Autistic Patients in Iraq, a Case-Control Study

his study investigated possible differences in lipid profile and liver enzymes between autistic children and healthy controls. The study included 32 autistic patients (26 males, 6 females, 5-10 years) and 32 age- and gender-matched healthy subjects. Blood samples were taken from all participants, and cholesterol, triglycerides, HDL, LDL, VLDL, ALP, ALT, and AST levels were measured. The results showed that the levels of cholesterol, triglycerides, VLDL, ALT, and AST were significantly reduced in the autistic group compared to the control group No significant differences were observed in the levels of HDL, LDL and ALP. ROC analysis revealed strong discriminatory power for ALT and AST to discriminate between autistic and healthy children. The Pearson correlation matrix showed strong positive correlations between most of the measured parameters. These findings are consistent with previous studies suggesting altered lipid metabolism in autism. The observed reduction in lipid levels may be related to its important role in brain development and synaptogenesis. Low HDL levels may be associated with impaired lipid metabolism in autistic individuals. Significant differences in liver enzymes (ALT and AST) suggest the possibility of mitochondrial dysfunction in autistic children. This study highlights the potential role of lipid profile and liver enzyme testing in the understanding and diagnosis of autism. Further research is needed to investigate the underlying mechanisms by which these factors are associated with autism spectrum disorders.

Autism Among Adults with Down Syndrome: Prevalence, Medicaid Usage, and Co-Occurring Conditions.

Our objective was to examine occurrence of both conditions in Medicaid; and compare Medicaid service use and cost, and chronic conditions among adults with Down syndrome and autism to those with Down syndrome alone and those with autism alone. We used ICD9 and ICD10 codes in Medicaid claims and encounters from 2011 to 2019 to identify autism and Down syndrome in adults > 18 years. We then calculated costs, claims, hospitalizations, long term care days, and chronic conditions, and compared by group- autism alone, Down syndrome alone, Down syndrome + autism. Between 2011 and 2019, there were 519,450 adult Medicaid enrollees who met our criteria for autism (N = 396,426), Down syndrome (N = 116,422), or both Down syndrome and autism (N = 6,602). In 2011, 4.1% of enrollees with Down syndrome had co-occurring autism; by 2011 it was 6.6%. The autism group had the fewest claims and inpatient hospitalizations, followed by the Down syndrome group, then the Down syndrome + autism group. After age adjustment, those with Down syndrome alone and Down syndrome + autism had elevated prevalence of atrial fibrillation, dementia, heart failure, kidney disease, and obesity compared to the autism alone group. Both groups also had decreased occurrence of depression and hypertension compared to the autism alone group. Prevalence of autism is higher among people with Down syndrome than in peers. The increased costs and service use for those with both conditions highlight the extent to which this population need health care and signal the need for more effective preventative care and therapies.