Autism Spectrum Disorder Children Research Articles

Relationship between global warming and autism spectrum disorder from 1990 to 2019.

Despite mounting evidence linking neurological diseases with climate change, the link between autism spectrum disorder (ASD) and global warming has yet to be explored. To examine the relationship between the incidence of ASD and global warming from 1990 to 2019 and estimate the trajectory of ASD incidence from 2020 to 2100 globally. We extracted meteorological data from TerraClimate between 1990 and 2019. To estimate the association between global ASD incidence and temperature variation, we adopted a two-stage analysis strategy using a generalised additive regression model. Additionally, we projected future ASD incidence under four representative shared socioeconomic pathways (SSPs: 126, 245, 370 and 585) by bootstrapping. Between 1990 and 2019, the global mean incidence of ASD in children under 5 years old was 96.9 per 100 000. The incidence was higher in males (147.5) than in females (46.3). A 1.0 °C increase in the temperature variation was associated with a 3.0% increased risk of ASD incidence. The association was stronger in boys and children living in a low/low-middle sociodemographic index region, as well as in low-latitude areas. According to the SSP585 scenario, by 2100, the children living in regions between 10 and 20° latitude, particularly in Africa, will experience a 68.6% increase in ASD incidence if the association remains. However, the SSP126 scenario is expected to mitigate this increase, with a less than 10% increase in incidence across all latitudes. Our study highlights the association between climate change and ASD incidence worldwide. Prospective studies are warranted to confirm the association.

Adverse food reactions and alterations in nutritional status in children with autism spectrum disorders: results of the NAFRA project

BackgroundTo assess the adverse food reactions (AFR) prevalence in children with autism spectrum disorder (ASD) and in non-ASD healthy controls (NASD). Nutritional status alterations, food selectivity and adherence to Mediterranean Diet (MD) were also evaluated.MethodsThe NAFRA (Nutritional status and Adverse Food Reactions in children with Autism Spectrum Disorder) project was an observational, case-control, comparative study conducted at a tertriary center for pediatrics involving Caucasian patients of both sexes, aged 18 months-7 years, with a diagnosis of ASD, and matched NASD controls.ResultsFrom October 2017 to December 2023, 100 ASD patients [79 male, mean (± SD) age 49.9 months (± 15.4)] and 100 NASD controls [75 male, mean (± SD) age 49.8 months (± 17.7)] were enrolled at the Pediatric Section of the Department of Translational Medical Science of the University of Naples Federico II. A significantly higher prevalence of AFR was observed in ASD patients if compared with NASD (16% vs. 2%, p = 0.001), mainly due to a higher prevalence of food allergy (7% vs. 1%, p = 0.03). A significantly higher prevalence of food intolerance and celiac disease was also observed in ASD children. The rate of obesity was significantly higher in ASD patients compared to NASD. Food selectivity and low MD-adherence were more frequent in ASD children (26% vs. 2%, p < 0.0001 and 28% vs. 16%, p = 0.041, respectively).ConclusionsThe high rate of AFR, obesity and unhealthy dietary habits observed in ASD children strongly suggest the importance of a multidisciplinary approach, providing early diagnosis of AFR and appropriate nutritional management to improve core and associated ASD-related conditions.Trial registrationThe NAFRA Project was registered on https://clinicaltrials.gov/ with the identifier NCT04719923. Registered 18 January 2021. https://clinicaltrials.gov/study/NCT04719923.

Recognition of psychoneurological state of children with autism spectrum disorder by features of speech: acoustic and perceptual features

The work is devoted to studying of recognition of psychoneurological state of children aged 5–14 with autism spectrum disorder (ASD), n = 35, and typically developing (TD) children, n = 45, by adults. A perceptual analysis was carried out, in which adult native speakers of the Russian language (auditors), n = 206, took part. Test sequences (audiotests) with words and phrases of ASD and TD children selected from spontaneous speech recordings were created for perceptual research. Auditors’ task was to determine psychoneurological state of children (typical/atypical development) based on auditory perception. A spectrographic analysis of phrases of children was carried out. Phrases of ASD children in comparison with TD children are characterized by lower speech rate, fewer words, great stressed and unstressed vowel duration, great values of pitch in phrase, word, stressed and unstressed vowel.

Enhancing early detection of autistic spectrum disorder in children using machine learning approaches

Diagnosing Autism Spectrum Disorder (ASD) presents a multifaceted challenge, demanding accurate and efficient screening methods. Applying machine learning techniques offers a promising avenue for enhancing diagnostic accuracy and efficiency. This research investigates the efficiency of machine learning in distinguishing individuals with ASD from those without, utilizing a comprehensive dataset comprising screening questions, demographic factors, and ASD related diagnostic classifications. We applied chi-square feature selection technique and also tested Random Forest, Logistic Regression, Gradient Boosting Classifier, and Extra Trees Classifier. Each model showed optimal performance and exhibit high precision, recall, and F1-score for both ASD-positive and ASD-negative instances. Additionally, AUROC curves further validated the models’ exceptional discriminatory abilities, with exceptional results. Our findings highlight the potential of machine learning algorithms for enhancing ASD diagnosis accuracy and efficiency in clinical settings. Further research and validation on larger datasets are required to understand the importance of machine learning methods in ASD diagnosis.

Exploring the effect of diet programs on the behavior of Sudanese children with autism and the prevalence and association of gastrointestinal symptoms: a multi-center cross-sectional study

Background and aims: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social difficulties, speech and nonverbal communication issues, and restricted behaviors. Nutritional issues, such as food allergies and intolerances, can affect children with ASD. This study aimed to evaluate the impact of diet programs on ASD behavior and gastrointestinal symptoms, which would be considered as a starting point to increase the family’s knowledge about how to practice healthy and suitable dieting for their children. Materials and methods: The study was a cross-sectional observational study on 45 children with an autism spectrum disorder in four centers aged 2–18 in Khartoum state. Data was collected through an interview questionnaire, which included sociodemographic, diet, gastrointestinal, and behavioral assessments. The data was analyzed using SPSS to find the correlation between the various variables. Independent t-test, Analysis of Variance, and Mann–Whitney test were used in univariant analysis to assess the association between study variables, while multiple linear regression was used in multivariant analysis for the same purpose Results: The study involved a large number of children with autism spectrum disorder (ASD), with 80% being male and 73.3% being school-aged. Most had parents as guardians and 71.1% were in intermediate financial status. About 20% were overweight or obese, and 57.8% did not have a specific diet program. Food selectivity was prevalent, with 22.7% having allergies to milk and wheat. ASD children experienced vomiting, gastric reflux, abdominal pain, and changes in stool characteristics. A significant link was found between financial status, behavioral status and gastrointestinal changes. High financial status was significantly different from intermediate and low statuses based on behavioral changes. However, no significant association was found in multivariant analysis. Conclusion: The study found that ASD children generally have good nutritional health, with a higher degree of dietary selection. The financial status of guardians significantly influenced behavioral and gastrointestinal changes in the children. Further interventional studies are recommended to assess the direct impact of diet programs on these symptoms.

Parental age at birth, telomere length, and autism spectrum disorders in the UK Biobank cohort.

Older parental age at birth is associated with increased risk of autism spectrum disorders (ASD) in offspring. Independently, shorter telomere length (TL) has also been shown to be associated with ASD in children. However, older paternal age at birth, with or without controlling for maternal age, has been associated with longer TL, a seemingly contradictory finding. Here, we conducted a retrospective cohort study among participants in the UK Biobank to disentangle associations between leukocyte TL and ASD status in adults, and the potential moderation by parental age on adult offspring's TL. Participants with ASD diagnosis (N = 87) with a mean age of 46.0 (SD 4.4) years were matched to participants without ASD diagnosis (N = 870) based on age, sex, ethnicity, education, household income, and assessment center. No statistically significant differences were seen in TL between participants with and without ASD when parental age at birth was not considered. However, there was a significant interaction between ASD diagnostic status and parental age on participants' TL, such that older paternal or maternal age at birth was more strongly associated with longer TL in participants with ASD. This study suggests that the shortened TL observed in children with ASD in previous research may partially depend on parental age at birth. Future studies tracking TL attrition before ASD diagnosis are warranted to depict temporal associations and the interacting effects of parental age at birth and ASD status on TL across the lifespan.

Autism Spectrum Disorder in Children: Early Signs and Therapeutic Interventions

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in communication, social interaction difficulties, and repetitive behaviors that can hinder a child’s development. The growing prevalence of autism necessitates early detection and effective intervention strategies. This review summarizes the current knowledge of early indicators of ASD, including brain development markers and behavioral signs visible in infants. It investigates diagnostic processes, emphasizing the importance of timely detection at 18 to 24 months using established screening tools. We discuss a variety of therapeutic approaches, including behavioral interventions, educational strategies such as music therapy, and technological advancements such as speech-generating devices. Furthermore, we investigate pharmacological options for treating associated symptoms, emphasizing the lack of targeted medications for core ASD symptoms. Finally, we present evidence highlighting the positive effects of early intervention on developmental outcomes, advocating for individualized treatment plans to enhance the well-being of children with ASD. This comprehensive overview aims to inform ongoing ASD research and clinical practices.

Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis

BackgroundThe use of the deep learning (DL) approach has been suggested or applied to identify childhood autism spectrum disorder (ASD). The capacity to predict ASD, however, differs across investigations. Our study’s objective was to conduct a meta-analysis to determine the DL for ASD in children’s classification accuracy.MethodsEligibility criteria were designed according to the purpose of the meta-analysis; PubMed, EMBASE, Cochrane Library, and Web of Science Database were searched for articles published up to April 16, 2023, on the accuracy of DL methods for ASD classification. Using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) to assess the quality of the included studies. Sensitivity, specificity, areas under the curve (AUC), summary receiver operating characteristic (SROC), and corresponding 95% confidence intervals (CIs) were compiled by using the bivariate random-effects models.ResultsA total of 11 predictive trials based on DL models were included, involving 9495 ASD patients from 6 different databases. According to bivariate random-effects models’ results, the overall sensitivity, specificity, and AUC of the DL technique for ASD were, 0.95 (95% CI = 0.88–0.98), 0.93 (95% CI = 0.85–0.97), and 0.98 (95%CI: 0.97–0.99), respectively. Subgroup analysis results found that different datasets did not cause heterogeneity (meta-regression P = 0.55). The Kaggle dataset’s sensitivity and specificity were 0.94 (95%CI: 0.82-1.00) and 0.91 (95%CI: 0.76-1.00), and with 0.97 (95%CI: 0.92-1.00) and 0.97 (95%CI: 0.92-1.00) for ABIDE dataset.ConclusionsDL techniques has satisfactory sensitivity, specificity, and AUC in ASD classification. However, the major heterogeneity of the included studies limited the effectiveness of this meta-analysis. Further trials need to be performed to demonstrate the clinical practicability of DL diagnosis.

A longitudinal study on the development trajectory of auditory processing and its relationship with language development in Chinese preschool children with autism spectrum disorder: study protocol

BackgroundIt was reported that more than 96% of autism spectrum disorder (ASD) children are accompanied with different degrees of sensory processing abnormalities, and up to 50% of ASD children exhibit abnormal auditory response. Studies have confirmed that some ASD children’s abnormal auditory response may be related to their abnormal auditory processing. Prior research demonstrated that ASD children’s auditory processing has high heterogeneity, thus, ASD children’s auditory processing may have different developmental trajectories. However, no study has concentrated on the developmental trajectories of ASD children’s auditory processing. In addition, auditory processing plays a crucial role in ASD children’s language development, thus, ASD children’s different language development outcomes may be related to different auditory processing development tracks. Therefore, this study aims to explore the developmental trajectory of auditory processing in ASD children and analyze the relationship between different developmental trajectories of auditory processing and language impairment.Methods/DesignIn this study, 220 ASD children aging 3 years and 0 months to 4 years and 11 months are recruited as the research objects, and their demographic characteristics are collected. The subjects are tested for peripheral hearing, intelligence, and autism symptoms. Furthermore, ASD children’s auditory processing and language development are evaluated at baseline, 1 year, and 2 years later. In addition, ASD children’s auditory processing is evaluated by electrophysiological test and the Preschool Auditory Processing Assessment Scale. Moreover, ASD children’s language skills are assessed using the Language Development Assessment Scale for Children Aged 1–6. The various categories of the developmental trajectory of ASD children’s auditory processing are examined through the latent category growth model. Additionally, a hierarchical regression model is developed to analyze the predictive impact of different auditory processing development trajectories on language impairment in ASD children.DiscussionThis longitudinal study will explore the categories of auditory processing developmental trajectories in ASD children, and analyze the relationship between different categories of auditory processing developmental trajectories and language development, providing new ideas and targeted targets for the rehabilitation training of language impairment in ASD children, as well as promoting early and accurate interventions for ASD children.

Estimation of Plasma Concentration of L-Carnosine and its Correlation with Core Symptoms of Autism Spectrum Disorder Children: A Pilot Clinical Trial.

Literature indicates that L-carnosine may be deficient in autism spectrum disorder (ASD) children. The aim of the present study was to estimate the level of L-carnosine in plasma and correlate it with the Autism Treatment Evaluation Checklist (ATEC) and Childhood Autism Rating Scale 2nd Edition, Standard Version (CARS2-ST) scores. To measure L-carnosine level, a bio-analytical method was developed using reverse phase high- liquid chromatography and validated as per International Conference on Harmonization guidelines. Children were supplemented with L-carnosine (10-15 mg/kg) along with standard care therapies for 2 months. Before and after supplementation, scores on the ATEC, CARS2-ST, BEARS sleep screening tool, 6-item Gastrointestinal Severity Index, and Parental Stress Scale were evaluated, and L-carnosine was measured at the end of the trial. The calibration curve was linear in the range of 100-600 ng/mL (R2 = 0.998). The level of L-carnosine quantified was 33.7 ± 0.2 ng/mL. There was no significant difference found in any of the outcome measures (p > 0.05). Despite the fact that L-carnosine is detectable in the blood, it was found to be ineffective in the management of ASD in children. The study was registered in the Clinical Trial Registry-India, registration number: CTRI/2019/07/020102.

AST-001 versus placebo for social communication in children with autism spectrum disorder: A randomized clinical trial.

This study examined the efficacy of AST-001 for the core symptoms of autism spectrum disorder (ASD) in children. This phase 2 clinical trial consisted of a 12-week placebo-controlled main study, a 12-week extension, and a 12-week follow-up in children aged 2 to 11 years with ASD. The participants were randomized in a 1:1:1 ratio to a high-dose, low-dose, or placebo-to-high-dose control group during the main study. The placebo-to-high-dose control group received placebo during the main study and high-dose AST-001 during the extension. The a priori primary outcome was the mean change in the Adaptive Behavior Composite (ABC) score of the Korean Vineland Adaptive Behavior Scales II (K-VABS-II) from baseline to week 12. Among 151 enrolled participants, 144 completed the main study, 140 completed the extension, and 135 completed the follow-up. The mean K-VABS-II ABC score at the 12th week compared with baseline was significantly increased in the high-dose group (P = 0.042) compared with the placebo-to-high-dose control group. The mean CGI-S scores were significantly decreased at the 12th week in the high-dose (P = 0.046) and low-dose (P = 0.017) groups compared with the placebo-to-high-dose control group. During the extension, the K-VABS-II ABC and CGI-S scores of the placebo-to-high-dose control group changed rapidly after administration of high-dose AST-001 and caught up with those of the high-dose group at the 24th week. AST-001 was well tolerated with no safety concern. The most common adverse drug reaction was diarrhea. Our results provide preliminary evidence for the efficacy of AST-001 for the core symptoms of ASD.

Unraveling the relative abundance of psychobiotic bacteria in children with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by social deficits. Accumulated evidence has shown a link between alterations in the composition of gut microbiota and both neurobehavioural and gastrointestinal symptoms in children with ASD which are related to the genera Lactobacillus and Bifidobacterium. These genera have been recently categorized as “psychobiotics”. Moreover, this study aimed to compare the relative abundance of psychobiotics (L. plantarum, L. reuteri, and B. longum) to the total gut microbiome in typically developing (TD) children and those with ASD in order to correlate the distribution of psychobiotic with the severity and sensory impairments in autism. The ASD children were assessed using the Childhood Autism Rating Scale (CARS), while sensory impairments were evaluated using the Short Sensory Profile (SSP). Furthermore, the gut microbiome was analyzed using the quantitative real-time PCR. The study revealed a statistically significant increase in the relative abundance of L. reuteri and L. plantarum in the TD group in comparison to ASD children. Regarding the SSP total score of ASD children, a statistically significant negative correlation was found between both Lactobacillus and L. plantarum with the under-responsive subscale. For the Autism Treatment Evaluation Checklist (ATEC) score, B. longum and Lactobacillus showed a significant positive correlation with Health/Physical/Behaviour.

Causal Metabolomic and Lipidomic Analysis of Circulating Plasma Metabolites in Autism: A Comprehensive Mendelian Randomization Study with Independent Cohort Validation.

The increasing prevalence of autism spectrum disorder (ASD) highlights the need for objective diagnostic markers and a better understanding of its pathogenesis. Metabolic differences have been observed between individuals with and without ASD, but their causal relevance remains unclear. Bidirectional two-sample Mendelian randomization (MR) was used to assess causal associations between circulating plasma metabolites and ASD using large-scale genome-wide association study (GWAS) datasets-comprising 1091 metabolites, 309 ratios, and 179 lipids-and three European autism datasets (PGC 2015: n = 10,610 and 10,263; 2017: n = 46,351). Inverse-variance weighted (IVW) and weighted median methods were employed, along with robust sensitivity and power analyses followed by independent cohort validation. Higher genetically predicted levels of sphingomyelin (SM) (d17:1/16:0) (OR, 1.129; 95% CI, 1.024-1.245; p = 0.015) were causally linked to increased ASD risk. Additionally, ASD children had higher plasma creatine/carnitine ratios. These MR findings were validated in an independent US autism cohort using machine learning analysis. Utilizing large datasets, two MR approaches, robust sensitivity analyses, and independent validation, our novel findings provide evidence for the potential roles of metabolomics and circulating metabolites in ASD diagnosis and etiology.

Multimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption.

Despite perinatal damage to the cerebellum being one of the highest risk factors for later being diagnosed with autism spectrum disorder (ASD), it is not yet clear how the cerebellum might influence the development of cerebral cortex and whether this co-developmental process is distinct between neurotypical and ASD children. Leveraging a large structural brain MRI dataset of neurotypical children and those diagnosed with ASD, we examined whether structural variation in cerebellar tissue across individuals was correlated with neocortical variation during development, including the thalamus as a coupling factor. We found that the thalamus plays a distinct role in moderating cerebro-cerebellar structural coordination in ASD. Notably, structural coupling between cerebellum, thalamus, and neocortex was strongest in younger childhood and waned by early adolescence, mirroring a previously undescribed trajectory of behavioral development between ASD and neurotypical children. Complementary functional connectivity analyses likewise revealed atypical connectivity between cerebellum and neocortex in ASD. This relationship was particularly prominent in a model of cerebellar structure predicting functional connectivity, where ASD and neurotypical children showed divergent patterns. Interestingly, these functional-structural relationships became more prominent with age, while structural effects were most prominent earlier in childhood, and showed significant lateralization. This pattern may suggest a developmental sequence where early uncoordinated structural growth amongst regions is followed by increasingly atypical functional synchronization. These findings provide multimodal evidence in the living brain for a cerebellar diaschisis model of autism, where both increased cerebellar-cerebral structural coupling and altered functional connectivity in cerebro-cerebellar pathways contribute to the ontogeny of this neurodevelopmental disorder.

A systematic review of the effect of sandplay therapy on social communication deficits in children with autism spectrum disorder.

To explore the efficacy of sandplay therapy in intervening social communication deficits in children with autism spectrum disorders (ASD), and whether this efficacy is influenced by the age of the children and the dosage of sandplay therapy intervention. Following the PICOS principle, randomized controlled trials (RCTs) related to sandplay therapy for social communication deficits in ASD children were retrieved from seven databases: PubMed, WOS, The Cochrane Library, Embase, CNKI, Wanfang, and VIP, from the inception of each database to November 10, 2023. Two experimenters independently conducted study screening and excluded studies with concomitant diseases, incomplete data, unextractable data, and non-randomized controlled trials. The PEDro scale was used for methodological quality assessment, and the GRADEprofiler method was employed to evaluate the quality of evidence. Stata17 software was used for meta-analysis, subgroup analysis, sensitivity analysis, and publication bias testing. The standardized mean difference (SMD) and 95% confidence interval (CI) were used as the effect statistics. A total of 12 RCTs (791 cases) were included. Sandplay therapy had a positive impact on the social communication deficits of ASD children [SMD = -1.42, 95%CI (-1.79, -1.04), P < 0.001]. Subgroup analysis revealed that sandplay therapy administered during the early school age (449 cases, SMD = -1.44, P < 0.05), for a duration of 22-28 weeks (208 cases, SMD = 1.69, P < 0.05), and with a frequency of once per week (218 cases, SMD = -1.67, P < 0.05) was most effective in improving on social communication deficits of ASD children. The quality of evidence in this study was rated as high, with good methodological quality, including 12 studies with better quality and no detection of bias risk. The study had high heterogeneity, which was attributed to the measurement tools and intervention duration through subgroup analysis, with no inconsistency found. Additionally, no downgrade factors related to imprecision, publication bias, or indirectness were identified. In conclusion, sandplay therapy is an effective measure to improve social communication deficits in children with ASD, and current evidence recommends early intervention using an individual sandplay therapy or integrated sandplay therapy intervention program once a week for 22-28 weeks, which can serve as evidence-based clinical guidance. www.crd.york.ac.uk, identifier (CRD420234821750).

Combined Effect of Oro-Motor Stimulation and Aroma Therapy for Successful Feeding in Autism Spectrum Disorder: Case Report

In Autism Spectrum Disorder (ASD) children feeding problems can be categorized as behavioural feeding disorders including food refusal, choking, gagging, expulsion and sensory-based feeding problems such as textural aversions. The oral stimulation increases oral motor organization improve muscle contractility as a result increases oral intake. Sensory characteristics of food such as taste, texture and aroma have effects on food acceptance. We present a case of 3.3 year old male with ASD having feeding issues such as refusal to consume food and would spit when tried to feed him forcefully and accepting only liquids in small quantities as compared to earlier since 55 days. The outcome measure used was Sensory Profile (Dunn, 1999) and Pediatric Eating Assessment Tool (PediEAT). Combined oral motor stimulation and aroma therapy was provided to the child for developing successful feeding skill. Conclusion: From the above pilot study it may be concluded that combination of oro-motor stimulation and aroma therapy is an effective intervention in decreasing oral sensory issues and thus improving feeding skills in children with ASD.

Screening and Prediction of Autism in Toddlers Using SORF in Videos of Brief Family Interactions.

The purpose of this study was to validate the utility of the Systematic Observation of Red Flags (SORF) for autism screening during 10-minute parent-child interactions at ages 15-24 months. A total of 54 children participated in this study, including 19 with autism spectrum disorder (ASD), 23 with developmental delay, and 12 typically developing children. Coders coded 10-minute videos of parent-child interactions based on the defined scoring criteria. The discriminative ability for outcome diagnosis was evaluated for total score, social communication score, restricted repetitive behavior score, number of red flags, and composite score. SORF scores demonstrated good discriminative ability between ASD and non-ASD children, with the composite score (AUC = 0.884) showing the best discriminative ability for outcome diagnosis and predicting likelihood of ASD in young children. The composite score represented a simplified measurement, with the cutoff score of 7 and sensitivity and specificity of 0.789 and 0.800, respectively.

Turicibacter and Catenibacterium as potential biomarkers in autism spectrum disorders.

Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by social, behavioral, and cognitive impairments. Several comorbidities, including gastrointestinal (GI) dysregulations, are frequently reported in ASD children. Although studies in animals have shown the crucial role of the microbiota in key aspects of neurodevelopment, there is currently no consensus on how the alteration of microbial composition affects the pathogenesis of ASD. Moreover, disruption of the gut-brain axis (GBA) has been reported in ASD although with limited studies conducted on the Mediterranean population. In our study, we aimed to investigate gut microbiota composition in Lebanese ASD subjects, their unaffected siblings, and a control group from various regions in Lebanon using the 16S-rRNA sequencing (NGS). Our study revealed a lower abundance of Turicibacter and a significant enrichment on Proteobacteria in the ASD and siblings' groups compared to the controls, indicating that gut microbiota is probably affected by dietary habits, living conditions together with host genetic factors. The study also showed evidence of changes in the gut microbiome of ASD children compared to their siblings and the unrelated control. Bacteroidetes revealed a lower abundance in the ASD group compared to controls and siblings, conversely, Catenibacterium and Tenericutes revealed an increased abundance in the ASD group. Notably, our study identifies alterations in the abundance of Turicibacter and Catenibacterium in ASD children suggesting a possible link between these bacterial taxa and ASD and contributing to the growing body of evidence linking the microbiome to ASD.

Validation of the French version of the preschool form of the social responsiveness scale-second edition (SRS-2-P)

ObjectivesTo evaluate the psychometric properties of the French form of the preschool social responsiveness scale-2 (SRS-2-P-Fr). ParticipantsA sample of French children aged 2 to 4 years comprising a group of 93 children with autism spectrum disorder (ASD) and a community control group of 201 children. Materials and methodsStudy of internal consistency using Cronbach's α coefficient, convergent validity using correlations with the ADI-R and ADOS-2, and diagnostic accuracy using the receiver operating characteristic curve to determine the best threshold scores useful for screening ASD in preschool children. ResultsGood internal consistency (0.78 to 0.98) according to Cronbach's alpha coefficients for the total score and the sub-scores of the SRS-2-P scale. The study of convergent validity showed strong correlations with the total score of the ADOS-2 Toddlers and the communication and reciprocal social interaction sub-scores of the ADI-R. Diagnostic accuracy indicated that the best cut-off score for detecting ASDs was 56 (area under the curve=0.97, sensitivity 0.925, specificity 0.98). ConclusionThe SRS-2-P-Fr is a valid instrument for the early detection of ASD in preschool children in France and can facilitate diagnosis.

Parasagittal dural volume correlates with cerebrospinal fluid volume and developmental delay in children with autism spectrum disorder

BackgroundThe parasagittal dura, a tissue that lines the walls of the superior sagittal sinus, acts as an active site for immune-surveillance, promotes the reabsorption of cerebrospinal fluid, and facilitates the removal of metabolic waste products from the brain. Cerebrospinal fluid is important for the distribution of growth factors that signal immature neurons to proliferate and migrate. Autism spectrum disorder is characterized by altered cerebrospinal fluid dynamics.MethodsIn this retrospective study, we investigated potential correlations between parasagittal dura volume, brain structure volumes, and clinical severity scales in young children with autism spectrum disorder. We employed a semi-supervised two step pipeline to extract parasagittal dura volume from 3D-T2 Fluid Attenuated Inversion Recovery sequences, based on U-Net followed by manual refinement of the extracted parasagittal dura masks.ResultsHere we show that the parasagittal dura volume does not change with age but is significantly correlated with cerebrospinal fluid (p-value = 0.002), extra-axial cerebrospinal fluid volume (p-value = 0.0003) and severity of developmental delay (p-value = 0.024).ConclusionsThese findings suggest that autism spectrum disorder children with severe developmental delay may have a maldeveloped parasagittal dura that potentially perturbs cerebrospinal fluid dynamics.