Autism Spectrum Disorder Patients Research Articles

Lactobacillus reuteri normalizes altered fear memory in male Cntnap4 knockout mice.

Autism spectrum disorder (ASD) is a common neurodevelopmental disease, characterized by deficits in social communication, restricted and repetitive behaviours, and impaired fear memory processing. Severe gastrointestinal dysfunction and altered gut microbiome have been reported in ASD patients and animal models. Contactin associated protein-like 4 (CNTNAP4) has been suggested to be a novel risk gene, though its role in ASD remains unelucidated. Cntnap4-/- mice were generated to explore its role in ASD-related behavioural abnormalities. Electrophysiological recording was employed to examine GABAergic transmission in the basolateral amygdala (BLA) and prefrontal cortex. RNA-sequencing was performed to assess underlying mechanisms. 16S rDNA analysis was performed to explore changes in faecal microbial composition. Male Cntnap4-/- mice were fed with Lactobacillus reuteri (L.reuteri) or faecal microbiota to evaluate the effects of microbiota supplementation on the impaired fear conditioning mediated by Cntnap4 deficiency. Male Cntnap4-/- mice manifested deficiency in social behaviours and tone-cue fear conditioning. Notably, reduced GABAergic transmission and GABA receptor expression were found in the BLA but not the prefrontal cortex. In addition, gut Lactobacillus were less abundant in male Cntnap4-/- mice, and L.reuteri treatment or faecal microbiota transplantation rescued abnormal tone-cued fear memory and improved local GABAergic transmission in the BLA of male Cntnap4-/- mice. Cntnap4 shapes GABAergic transmission of amygdala and fear conditioning, and microbial intervention represents a promising therapy in ASD intervention. National Natural Science Foundation of China, Science and Technology Planning Project of Guangzhou, Guangzhou Medical University, and China Postdoctoral Science Foundation.

Aspects of autism spectrum disorder and correlation with neuroimaging findings in tuberous sclerosis complex

BackgroundTuberous sclerosis complex (TSC) patients may have different specific neuropsychological deficits related to the location of the tubers. Autism spectrum disorders (ASD) are common in TSC patients but the relationship between these diagnoses has not been formally explored. In this study we sought to examine brain Magnetic Resonance Imaging (MRI) findings in TSC patients with ASD. MethodsWe evaluated 34 TSC patients on the basis of DSM-V diagnostic criteria for ASD, Wechsler Intelligence Scale for Children (WISC-R), psychiatrist’s examination and also structured parent interviews. The number and localization of the tubers, postcontrast signal characteristics of the tubers, SWI findings, DWI findings on brain MRI were recorded. Demographic features, epilepsy histories, number of antiseizure medications, cognitive status were eveluated also. Patients were divided into two groups: ASD group, which represented group 1 and group 2 consisting of patients without any ASD symptoms. ResultsIn our study, the mean number of tuber count was 21.8 in patients with ASD patients (Group 1, n = 13) and 12.4 in other TSC patients without ASD (Group 2, n = 21). Rate of tubers in prefrontal cortex/whole tubers (0.51) in patients with ASD was determined to be higher in group 1 (p = 0.003). Also a significant difference was detected between generalize epileptiform activities on EEG and the rate of DRE (p = 0.002; p = 0.001) between groups. Cognitive disturbances and infantile spasm history were similar between groups. TSC2 mutations have been identified in 29 (86%) patients. ConclusionThe mean of total tuber count and the rate of the location in the prefrontal cortex were determined to be higher in TSC patients with ASD. Specific areas on brain MRI may help understanding the development of ASD in TSC patients.

Valproic acid exposure decreases neurogenic potential of outer radial glia in human brain organoids.

Valproic acid (VPA) exposure during pregnancy leads to a higher risk of autism spectrum disorder (ASD) susceptibility in offspring. Human dorsal forebrain organoids were used to recapitulate course of cortical neurogenesis in the developing human brain. Combining morphological characterization with massive parallel RNA sequencing (RNA-seq) on organoids to analyze the pathogenic effects caused by VPA exposure and critical signaling pathway. We found that VPA exposure in organoids caused a reduction in the size and impairment in the proliferation and expansion of neural progenitor cells (NPCs) in a dose-dependent manner. VPA exposure typically decreased the production of outer radial glia-like cells (oRGs), a subtype of NPCs contributing to mammalian neocortical expansion and delayed their fate toward upper-layer neurons. Transcriptomics analysis revealed that VPA exposure influenced ASD risk gene expression in organoids, which markedly overlapped with irregulated genes in brains or organoids originating from ASD patients. We also identified that VPA-mediated Wnt/β-catenin signaling pathway activation is essential for sustaining cortical neurogenesis and oRGs output. Taken together, our study establishes the use of dorsal forebrain organoids as an effective platform for modeling VPA-induced teratogenic pathways involved in the cortical neurogenesis and oRGs output, which might contribute to ASD pathogenesis in the developing brain.

A new Autism Spectrum Disorder Discovery (ASDD) strategy using data mining techniques based on blood tests

Autism Spectrum Disorder (ASD) represents a heterogeneous developmental disability characterized by impairments in social communication and behavioral challenges. The problem of ASD begins with childhood and continues into adolescence as well as adulthood. The number of children suffering from ASD is constantly increasing, so a modern method must be found to make a quick and early diagnosis or discovery of ASD patients with high accuracy. Early discovery of ASD patients aims to quickly take the necessary measures with patients and take care of them until their speedy recovery. During this paper, a new Autism Spectrum Disorder Discovery (ASDD) strategy is provided to give a fast and delicate diagnosis for autism patients. The ASDD composes of two main layers, which are; (i) Pre-processing Layer (PL) and (ii) Autism Discovery Layer (ADL). In the PL, two approaches called feature selection and outlier rejection are used to filter the used data from any non-informative data before starting to train the diagnostic model in the ADL for providing delicate diagnosis. Hybrid Rejection Technique (HRT) as a new outlier rejection method is the main contribution of this paper. HRT includes two main stages called Quick Rejection Stage (QRS) as a fast stage and Precise Rejection Stage (PRS) as a delicate stage. QRS uses a standard deviation to quickly remove outliers and then PRS uses a Hybrid Bio-inspired Optimization Method (HBOM) that combines Binary Genetic Algorithm (BGA) and Binary Gray Wolf Optimizer (BGWO) to delicately eliminate the rest of outliers. According to PL in ASDD strategy, Fisher Score (FS) is applied to select the best subset of features and then HRT is used to reject bad training data. Finally, an Ensemble Technique (ET)that includes three classifiers called Naïve Bayes (NB), K-Nearest Neighbors (KNN), and Deep Learning (DL) is used in ADL to diagnose ASD patients based on the filtered data from PL. The ASDD strategy has been compared to many modern strategies using ASD dataset that includes blood tests from children [1]. Experimental results proven that the ASDD strategy outperforms the other strategies in terms of many metrics called accuracy, error, sensitivity, precision, and execution-time with values 0.92, 0.08, 0.85, 0.80, and 2 s.

Severity of Autism Spectrum Disorder Symptoms Associated with de novo Variants and Pregnancy-Induced Hypertension.

Genetic factors, particularly, de novo variants (DNV), and an environment factor, exposure to pregnancy-induced hypertension (PIH), were reported to be associated with risk of autism spectrum disorder (ASD); however, how they jointly affect the severity of ASD symptom is unclear. We assessed the severity of core ASD symptoms affected by functional de novo variants or PIH. We selected phenotype data from Simon's Simplex Collection database, used genotypes from previous studies, and created linear regression models. We found that ASD patients carrying DNV with PIH exposure had increased adaptive and cognitive ability, decreased social problems, and enhanced repetitive behaviors; however, there was no difference in patients without DNV between those with or without PIH exposure. In addition, the DNV genes carried by patients exposed to PIH were enriched in ubiquitin-dependent proteolytic processes, highlighting how candidate genes in pathways and environments interact. The results indicate the joint contribution of DNV and PIH to ASD.

Disrupted network integration and segregation involving the default mode network in autism spectrum disorder

Changes in the brain's default mode network (DMN) in the resting state are closely related to autism spectrum disorder (ASD). Module segmentation can effectively elucidate the neural mechanism of ASD and explore intra- and inter-network connections by means of the participation coefficient (PC). We used that resting-state fMRI data from 269 ASD patients and 340 healthy controls (HCs) in the current study. From the results, ASD subjects showed a significantly higher PC of the DMN than HC subjects. This difference was related to lower intra-module connections within the DMN and higher inter-network connections between the DMN and other networks. When the subjects were split into age groups, the results were verified in the 7–12- and 12–18-year-old age groups but not in the young adult group (18–25 years). When the subjects were divided according to different subtypes of ASD, the results were also observed in the classic autism and pervasive developmental disorder groups, but not in the Asperger disorder group. In conclusions, less developed network segregation in the DMN could be a valid biomarker for ASD. This provides network scientists with new insights into the intermodular connectivity configurations of complex networks from different dimensions in a systematic and comprehensive manner.

New insights into candidate genes for autism spectrum disorder in 8p23.1 duplication syndrome

The 8p23.1 duplication syndrome is a rare condition, characterized by dysmorphisms, intellectual disability, congenital cardiac anomalies, and autism spectrum disorder (ASD). The current model for explaining the pathogenesis of this condition postulates that few dosage-sensitive genes within the duplication are sufficient for the core clinical features, although the molecular mechanisms leading to the ASD presentation remain to be solved. Herein, we described clinical and cytomolecular findings of an 8p23.1 duplication in a boy with mild facial dysmorphisms, cardiac anomalies and ASD. Therefore, we investigated the influence of duplicated genes on the pathophysiology of ASD in our patient. We identified four duplicated genes (BLK, GATA4, PINX1, TNKS) connected with proteins previously associated with ASD and involved in significant enriched pathways associated with human neurological conditions. Moreover, the candidate genes are highly expressed in brain regions associated to ASD, such as the hippocampus. Taken together, these results point out crucial interactions among BLK, GATA4, PINX1, and TNKS and genes associated with ASD. We indicate cellular networks perturbations encompassing neuronal development pathways related to our patient's condition. Thus, these findings bring new insights into the genetic basis of ASD in patients with 8p23.1 duplication syndrome.

The autism-associated Meis2 gene is necessary for cardiac baroreflex regulation in mice

Recent understanding of Autism Spectrum Disorder (ASD) showed that peripheral primary mechanosensitive neurons involved in touch sensation and central neurons affected in ASD share transcriptional regulators. Mutant mice for ASD-associated transcription factors exhibit impaired primary tactile perception and restoring those genes specifically in primary sensory neurons rescues some of the anxiety-like behavior and social interaction defects. Interestingly, peripheral mechanosensitive sensory neurons also project to internal organs including the cardiovascular system, and an imbalance of the cardio-vascular sympathovagal regulation is evidenced in ASD and intellectual disability. ASD patients have decreased vagal tone, suggesting dysfunction of sensory neurons involved in cardio-vascular sensing. In light of our previous finding that the ASD-associated Meis2 gene is necessary for normal touch neuron development and function, we investigated here if its inactivation in mouse peripheral sensory neurons also affects cardio-vascular sympathovagal regulation and baroreflex. Combining echocardiography, pharmacological challenge, blood pressure monitoring, and heart rate variability analysis, we found that Meis2 mutant mice exhibited a blunted vagal response independently of any apparent cardiac malformation. These results suggest that defects in primary sensory neurons with mechanosensitive identity could participate in the imbalanced cardio-vascular sympathovagal tone found in ASD patients, reinforcing current hypotheses on the role of primary sensory neurons in the etiology of ASD.

Construction of an immune-related ceRNA network to screen for potential diagnostic markers for autism spectrum disorder.

Purpose: The diagnosis of autism spectrum disorder (ASD) is reliant on evaluation of patients' behavior. We screened the potential diagnostic and therapeutic targets of ASD through bioinformatics analysis. Methods: Four ASD-related datasets were downloaded from the Gene Expression Omnibus database. The "limma" package was employed to analyze differentially expressed messenger (m)RNAs, long non-coding (lnc)RNAs, and micro (mi)RNAs between ASD patients and healthy volunteers (HVs). We constructed a competing endogenous-RNA (ceRNA) network. Enrichment analyses of key genes were undertaken using the Gene Ontology database and Kyoto Encyclopedia of Genes and Genomes database. The ImmucellAI database was used to analyze differences in immune-cell infiltration (ICI) in ASD and HV samples. Synthetic analyses of the ceRNA network and ICI was done to obtain a diagnostic model using LASSO regression analysis. Analyses of receiver operating characteristic (ROC) curves were done for model verification. Results: The ceRNA network comprised 49 lncRNAs, 30 miRNAs, and 236 mRNAs. mRNAs were associated with 41 cellular components, 208 biological processes, 39 molecular functions, and 35 regulatory signaling pathways. Significant differences in the abundance of 10 immune-cell species between ASD patients and HVs were noted. Using the ceRNA network and ICI results, we constructed a diagnostic model comprising five immune cell-associated genes: adenosine triphosphate-binding cassette transporter A1 (ABCA1), DiGeorge syndrome critical region 2 (DGCR2), glucose-fructose oxidoreductase structural domain gene 1 (GFOD1), glutaredoxin (GLRX), and SEC16 homolog A (SEC16A). The diagnostic performance of our model was revealed by an area under the ROC curve of 0.923. Model verification was done using the validation dataset and serum samples of patients. Conclusion: ABCA1, DGCR2, GFOD1, GLRX, and SEC16A could be diagnostic biomarkers and therapeutic targets for ASD.

Intelligent triage method for early diagnosis autism spectrum disorder (ASD) based on integrated fuzzy multi-criteria decision-making methods

BackgroundAutism spectrum disorder (ASD) symptoms and severity levels vary from patient to patient, so treatment and healthcare will vary. However, little attention has been given to developing an autistic triage method for ASD patients concerning four issues: hybrid triage criteria, multi-selection criteria problems, criteria importance, and trade-off based on the inverse relationship between autistic criteria. Therefore, this study aims to develop a new method for triaging ASD patients and classifying them according to their severity of disorder using Fuzzy Multi-Criteria Decision Making (fMCDM) methods. MethodsTwo methodology phases have been conducted: the first phase is to identify and preprocess the ASD dataset, including 988 autistic patients with 42 medical and Sociodemographic criteria. In the second phase, two fMCDM methods were used to develop the triage method. The fuzzy Delphi Method (FDM) is used to select the most influential criteria among the 42 based on thirteen psychologists in the psychological field. Then Fuzzy-Weighted Zero-Inconsistency (FWZIC) is used to assign weights to the important criteria according to four psychologists' opinions. Accordingly, the Processes for Triaging Autism Patients (PTAP) method has been developed for the first time for triaging and classifying patients into three severity levels: minor, moderate, and urgent. ResultsFor the preprocessed phase, 538 out of 988 patients were obtained as a new ASD dataset underwent data cleaning to capture only autism patients. For the second phase, the FDM results have selected 19 out of 42 criteria and can control the bias of psychologists' opinions, FWZIC has assigned the appropriate weights for the 19 criteria, and the PTAP method triages the 538 patients into three severity levels: 36 minor injuries, 432 moderate injuries, and 70 urgent injuries. More complex statistical analyses have been presented using MedCalc statistical software. Three physicians in the psychological field gave their subjective judgements for the diagnosis of 46 random samples of patients. The sensitivity results were 86.67%, 80%, and 90.91%, while the specificity results were 93.55%, 88.46%, and 94.29% for urgent, moderate, and minor levels, respectively. In addition, the accuracy was 91.30% for urgent, 84.78% for moderate, and 93.48% for minor. This assessment led to a deduction that a proposed ASD triage method can be applied with high performance. ConclusionsThe developed triage method can be used for early autism diagnosis application and support clinical treatment utilizing the advantages of fMCDM techniques of multidimensional criteria. Four medical criteria were selected from the psychologists, while Sociodemographic acquired high attention with 15 selected criteria. For the correlation analysis of the 19 used criteria, the ‘Wave’ criterion has the highest correlation with the triage level and obtained 0.4523. On the contrary, the “Pointing with the index finger” criterion has the lowest correlation and obtained −0.0542. Limitations and future works have also been reported in this study. The study confirms the efficacy of the proposed triage method compared with previous studies in five comparative points with 100%.

Clinical-immunological phenotypes of the autistic spectrum disorders

Autistic spectrum disorders (ASD) affect about one in every 59 children. It is noteworthy that patients with ASD are more likely to have other comorbidities than the general population. Undoubtedly, they may aggravate clinical course of the underlying disease or affect the diagnostics. The aim of this work was to identify clinical and immunological phenotypes of the ASD clinical course. Patients and methods. The study included children classified in 2 groups: pediatric patients with ASD (n = 100), and clinically healthy children (n = 30). Based on the presence of comorbidities, the children were divided into 3 types of clinical patterns: convulsive, infectious, dermato-respiratory and gastrointestinal phenotypes. Cytokine concentrations in blood serum were determined by ELISA using Bender Medsystems (Austria) for IL-17А and Vector-Best (Russia) for IL-4, IL-6, IL-10, IFNγ. The concentration of spIgG to 111 nutritional antigens (IgG) was determined by a modified ELISA method using the Immunohealth™ technique. Assessment of cognitive and psychophysiological indices in children was carried out using the ATEC questionnaire. As a result of the study, clinical and immunological phenotypes were identified among the ASD patients, being associated with certain types of food tolerance, cytokine profile, clinical severity of psycho-physiological disorders and concomitant comorbid diseases. In all four phenotypes, were have revealed an increased synthesis of specific antibodies associated with humoral immunity for the studied food antigens, increased concentration of total spIgG to food antigens, concentration of spIgG to legumes and casein, and C-reactive protein levels.Moreover, in convulsive phenotype (concomitant epilepsy and convulsions), the maximal concentrations of spIgG are shown for Solanaceae products, the concentration of IL-10 is increased, IL-4 amounts are reduced, and the content of serum iron and ferritin is also lowered. In the infectious phenotype (frequently ill children) the spIg’s to grain and fermented products are detected, IL-10 and IFNγ concentrations are increased and IL-4 contents is reduced, along with increased absolute and relative number of lymphocytes and fibrinogen. In the dermato-respiratory phenotype (skin rashes) – to dairy products, the concentrations of IL-4 and IL-17A are increased. In the gastrointestinal phenotype, the highest number of elevated IgG responses to the largest range of food antigens was found in presence of changing cytokine profile , i.e., an increase in IFNγ in IFNγ/IL-4 and IFNγ/IL-10 ratios. Thus, the identified phenotypes of the ASD course are associated with the influence of food antigens and reflect a special variant of the immunological inflammatory pathogenesis, which makes it possible to personalize elimination diets, propose measures for correction and individual prevention, and, probably, to predict clinical course of the disease.

A meta-analysis of differentially expressed and regulatory genes with their functional enrichment analysis for brain transcriptome data in autism spectrum disorder

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent challenges in social interactions and repetitive behavioral patterns. It is a significant problem emerging worldwide, as one in 100 children is affected by this disorder globally. In this study, a meta-analysis was performed for the identification of differentially expressed genes (DEGs) along with the expression analysis of regulatory genes. Functional enrichment analysis was an integral part of current findings to notify the significant pathways of this complex disorder. The study was conducted with two RNA-Seq datasets, viz., GSE64018 and GSE62098, for ASD patients and control samples from the GEO database. The identification of up-regulatory and down-regulatory genes was performed by the interaction analysis of transcription factors (TF) and DEGs. As an outcome of the meta-analysis, 2543 DEGs were identified as common across both of the datasets in which 1402 DEGs exhibited upregulation and 1130 genes have shown downregulation. In network analysis, upregulatory genes have shown strong interaction while downregulatory genes exhibit weak or null interaction. Further, in the enrichment analysis of screened upregulatory DEGs, three major significant pathways were identified namely the ATP synthesis pathway, FAS signaling pathway, and the Huntington’s disease pathway. The common expression of CYC 1 gene in all the identified pathways has indicated that it is an important key regulator gene for the majorly associated pathways. The study concludes that all the potential DEGs were found to show their related high expression in neurobiological regulations specifically with ASD. Communicated by Ramaswamy S. Sarma

Deficits in cerebellum-dependent learning and cerebellar morphology in male and female BTBR autism model mice.

Recently, there has been increased interest in the role of the cerebellum in autism spectrum disorders (ASD). To better understand the pathophysiological role of the cerebellum in ASD, it is necessary to have a variety of mouse models that have face validity for cerebellar disruption in humans. Here, we add to the literature on the cerebellum transgenic and induced mouse models of autism with the characterization of the cerebellum in the BTBR T+Itpr3tf/J (BTBR) inbred mouse strain, which has behavioral phenotypes that are suggestive of ASD in patients. When we examined both male and female BTBR mice in comparison to C57BL/6J (C57) controls, we noted that both sexes of BTBR mice showed motor coordination deficits characteristic of cerebellar dysfunction, but only the male mice showed differences in delay eyeblink conditioning, a cerebellum-dependent learning task that is also disrupted in ASD patients. Both male and female BTBR mice showed considerable expansion of and abnormal foliation in the cerebellum vermis--including significant expansion of specific lobules in the anterior cerebellum. In addition, we found a slight but significant decrease in Purkinje cell density in both male and female BTBR mice, irrespective of lobule. Furthermore, there was a marked reduction of Purkinje cell dendritic spines density in both male and female BTBR mice. These findings suggest that, for the most part, the BTBR mouse model successfully phenocopies many of the characteristics of the subpopulation of ASD patients that have a hypertrophic cerebellum. We discuss the significance of strain differences in the cerebellum as well as the importance of this first effort to identify both concordances and difference between male and female BTBR mice with regard to the cerebellum.

Application of pseudocontinuous arterial spin labeling perfusion imaging in children with autism spectrum disorders.

Pseudocontinuous Arterial Spin Labeling (pCASL) perfusion imaging allows non-invasive quantification of regional cerebral blood flow (CBF) as part of a multimodal magnetic resonance imaging (MRI) protocol. This study aimed to compare regional CBF in autism spectrum disorders (ASD) individuals with their age-matched typically developing (TD) children using pCASL perfusion imaging. This cross-sectional study enrolled 17 individuals with ASD and 13 TD children. All participants underwent pCASL examination on a 3.0 T MRI scanner. Children in two groups were assessed for clinical characteristics and developmental profiles using Autism Behavior Checklist (ABC) and Gesell development diagnosis scale (GDDS), respectively. We compared CBF in different cerebral regions of ASD and TD children. We also assessed the association between CBF and clinical characteristics/developmental profile. Compared with TD children, individuals with ASD demonstrated a reduction in CBF in the left frontal lobe, the bilateral parietal lobes, and the bilateral temporal lobes. Within the ASD group, CBF was significantly higher in the right parietal lobe than in the left side. Correlation analysis of behavior characteristics and CBF in different regions showed a positive correlation between body and object domain scores on the ABC and CBF of the bilateral occipital lobes, and separately, between language domain scores and CBF of the left frontal lobe. The score of the social and self-help domain was negatively correlated with the CBF of the left frontal lobe, the left parietal lobe, and the left temporal lobe. Cerebral blood flow was found to be negatively correlated with scores in the social and self-help domain, and positively correlated with those in the body and object domain, indicating that CBF values are a potential MRI-based biomarker of disease severity in ASD patients. The findings may provide novel insight into the pathophysiological mechanisms of ASD.

Effect of stigma maydis polysaccharide on the gut microbiota and transcriptome of VPA induced autism model rats.

Stigma maydis polysaccharide (SMPS) is a plant polysaccharide that participates in immune regulation and gastrointestinal motility. Autism spectrum disorder (ASD) refers to a group of neurodevelopmental disorders, and ASD patients often present intestinal microflora imbalance problems; however, there is no effective treatment method. This study explores the effect of SMPS intervention on the gut microbiota in autism model rats as well as the potential action pathways. Female Wistar rats were intraperitoneally injected with sodium valproic acid (VPA) or normal saline at embryonic day 12.5 to establish an autism model or normal control in their offspring. The offspring prenatally exposed to VPA were randomly assigned to the VPA and the SMPS groups. The SMPS group was administered SMPS from E0.5 to postnatal day (PND) 21. We performed 16S rRNA and transcriptomics analyses to reveal the gut microbiota (GM) and differentially expressed genes in the autism model rats in response to SMPS intervention. SMPS intervention significantly improved the diversity and structure of the GM in autism model rats compared with the VPA rats. Moreover, the relative abundance of Prevotellaceae and Lachnospiraceae_NK4A136_group was increased after SMPS intervention. Transcriptome sequencing showed that 496 differentially expressed genes (DEGs) were identified after SMPS administration compared with the VPA group. Meanwhile, gene ontology (GO) enrichment analysis of DEGs was showed that the SMPS group had significant 653 GO terms. SMPS intervention had a major influence on oxidative phosphorylation, retrograde endocannabinoid signaling, thermogenesis, ribosome, protein digestion and absorption, renin-angiotensin system, calcium signaling pathway, glycosphingolipid biosynthesis-ganglio series, and propanoate metabolism pathways. Overall, this study suggests that SMPS interventions in early life may have an impact on gut microbiota, and then affect the transcriptomics levels of the hippocampal tissue in the VPA-induced autism model rats. It provides scientific evidence for the role of the microbe-gut-brain axis in ASD research.

Rescue of social deficits by early-life melatonin supplementation through modulation of gut microbiota in a murine model of autism

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a rapidly increasing global prevalence. Early unstable and immature microbiota are often observed in ASD patients, resulting in neurobehavioral dysfunction. Since the establishment of stable gut microbiota in early life falls into the same critical time window as neurodevelopment, manipulations of the gut microbiota during early life could become a promising strategy for ASD. Melatonin is an endogenous hormone and can restore gut microbial dysbiosis under various disease conditions. Here, we explored the effects of melatonin supplementation during early life on the gut microbiota of the offspring and the subsequent impact on ASD-associated behaviors. Using the valproic acid (VPA) - induced mouse model of autism, we found that melatonin supplementation during late gestation and early postnatal development rescued the social deficits of the offspring. In addition, melatonin restored gut microbial dysbiosis in the VPA-exposed offspring, which was characterized by the significant upregulation of Akkermansia spp. Furthermore, supplementation of Akkermansia spp. alleviated the social deficits induced by VPA exposure via activating the dopaminergic neurons in the ventral tegmental area. These findings discover a novel mechanism underlying the gut microbiota regulation of social behaviors and provide the biological basis for developing gut microbiota-based therapeutics for ASD

The Effects of Probiotics and Prebiotics on Gastrointestinal and Behavioural Symptoms in Autism Spectrum Disorder.

Autism Spectrum Disorders (ASDs) are a group of prevalent neuropsychiatric disorders. They present a complex and unknown etiology, which in most cases includes significant peripheral alterations outside the brain such as in the composition of gut microbiota. Because the gut microbiota is involved in modulating the gut-brain axis, several studies have suggested that the microbiome in the gut can modify metabolites which are able to cross the blood-brain barrier and modulate brain function. We reviewed the current evidence regarding microbiota alterations in patients with ASD and the effects of the administration of probiotics and prebiotics in these patients, both in terms of gastrointestinal and behavioural symptoms. Administration of a probiotic formulation containing different strains of Lactobacillus (L. acidophilus, L. rhamnosus, and others) and Bifidobacteria had beneficial effects upon these aforementioned symptoms and their use is recommended in a subgroup of ASD patients that present gastrointestinal disturbances. Nonetheless, the types of gastrointestinal disturbances that most benefit from such interventions remain to be elucidated in order to personalize the medical approaches. Recent clinical studies have shown that probiotic treatments can regulate the gut microbiota and may result in improvements in some behavioral abnormalities associated with ASD. Trials using prebiotic fibers or synbiotics preparations are still lacking and necessary in order to deep in such therapeutic strategies in ASD with comorbid gastrointestinal disrturbances.

Neuron-specific protein network mapping of autism risk genes identifies shared biological mechanisms and disease-relevant pathologies.

There are hundreds of risk genes associated with autism spectrum disorder (ASD), but signaling networks at the protein level remain unexplored. We use neuron-specific proximity-labeling proteomics (BioID2) to identify protein-protein interaction (PPI) networks for 41 ASD risk genes. Neuron-specific PPI networks, including synaptic transmission proteins, are disrupted by de novo missense variants. The PPI network map reveals convergent pathways, including mitochondrial/metabolic processes, Wnt signaling, and MAPK signaling. CRISPR knockout displays an association between mitochondrial activity and ASD risk genes. The PPI network shows an enrichment of 112 additional ASD risk genes and differentially expressed genes from postmortem ASD patients. Clustering of risk genes based on PPI networks identifies gene groups corresponding to clinical behavior score severity. Our data report that cell type-specific PPI networks can identify individual and convergent ASD signaling networks, provide a method to assess patient variants, and highlight biological insight into disease mechanisms and sub-cohorts of ASD.

Dp71 and intellectual disability in Indonesian patients with Duchenne muscular dystrophy.

Duchenne muscular dystrophy (DMD) is an X-linked recessive progressive muscular disease marked by developmental delays due to mutations in the DMD gene, which encodes dystrophin. Brain comorbidity adds to the burden of limited mobility and significantly impacts patients' quality of life and their family. The changes of expression of dystrophin isoforms in the brain due to DMD gene mutations are thought to be related to the cognitive and neurobehavior profiles of DMD. This cross-sectional study aimed to characterize cognitive and neurodevelopmental profiles of patients with DMD and to explore underlying genotype-phenotype associations. Patients with DMD aged 5-18 years from Dr Sardjito Hospital and Universitas Gadjah Mada Academic Hospital from 2017-2022 were included. Multiplex ligation-dependent probe amplification and whole exome sequencing were used to determine mutations in the DMD genes. Cognitive function was measured by intelligence quotient testing using the Wechsler Intelligence Scale for Children and adaptive function tests with Vineland Adaptive Behavior Scales. The Autism Mental Status Exam and Abbreviated Conner's Rating Scale were used to screen for autism spectrum disorder (ASD) and attention deficit and hyperactivity disorder (ADHD), respectively. The mean total IQ score of DMD patients was lower than that of the general population (80.6 ± 22.0 vs 100 ± 15), with intellectual disability observed in 15 boys (29.4%). Of the 51 patients with DMD, the Dp71 group had the lowest cognitive performance with a total IQ score (46 ± 24.8; p = 0.003), while the Dp427 group and Dp140 group's total IQ scores were 83.0 ± 24.6 and 84.2 ± 17.5 respectively. There were no DMD patients with ASD, while 4 boys (7.8%) had comorbidity with ADHD. Boys with DMD are at higher risk of intellectual disability. The risk appears to increase with mutations at the 3' end of the gene (Dp71 disruption). Moreover, Dp71 disruption might not be associated with ADHD and ASD in patients with DMD.

High-Risk Siblings without Autism: Insights from a Clinical and Eye-Tracking Study.

Joint attention (JA)-the human ability to coordinate our attention with that of other people-is impaired in the early stage of Autism Spectrum Disorder (ASD). However, little is known about the JA skills in the younger siblings of children with ASD who do not develop ASD at 36 months of age [high-risk (HR)-noASD]. In order to advance our understanding of this topic, a prospective multicenter observational study was conducted with three groups of toddlers (age range: 18-33 months): 17 with ASD, 19 with HR-noASD and 16 with typical development (TD). All subjects underwent a comprehensive clinical assessment and an eye-tracking experiment with pre-recorded stimuli in which the visual patterns during two tasks eliciting initiating joint attention (IJA) were measured. Specifically, fixations, transitions and alternating gaze were analyzed. Clinical evaluation revealed that HR-noASD subjects had lower non-verbal cognitive skills than TD children, while similar levels of restricted and repetitive behaviors and better social communication skills were detected in comparison with ASD children. Eye-tracking paradigms indicated that HR-noASD toddlers had visual patterns resembling TD in terms of target-object-to-face gaze alternations, while their looking behaviors were similar to ASD toddlers regarding not-target-object-to-face gaze alternations. This study indicated that high-risk, unaffected siblings displayed a shared profile of IJA-eye-tracking measures with both ASD patients and TD controls, providing new insights into the characterization of social attention in this group of toddlers.