Pubmed du 22/10/22

Pubmed du jour

1. Asaridou M, Wodka EL, Edden RAE, Mostofsky SH, Puts NAJ, He JL. Could Sensory Differences Be a Sex-Indifferent Biomarker of Autism? Early Investigation Comparing Tactile Sensitivity Between Autistic Males and Females. Journal of autism and developmental disorders. 2022.

Sensory differences are highly prevalent in autistic individuals. However, few studies have compared their presentation between autistic males and autistic females. We used psychophysics to assess and compare tactile perceptual sensitivity between autistic and non-autistic boys and girls aged between 8 and 12 years of age. While there were sex-differences of amplitude discrimination, frequency discrimination and order judgement thresholds, these sex-differences were not autism-specific. Mean RTs and detection thresholds were elevated in autism but were comparable between the sexes. Tactile sensitivity measures that are elevated in autism but are otherwise comparable between autistic males and autistic females suggest the possibility that certain sensory features could be used as sex-indifferent markers of autism. Further investigation with larger and more representative samples should be conducted before any stronger conclusions are made.

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2. Caron J, Light J, McNaughton D. Effects of adapted Letter-Sound correspondence instruction with older learners with complex communication needs and autism spectrum disorder. Augmentative and alternative communication (Baltimore, Md : 1985). 2022: 1-15.

Individuals who use augmentative and alternative communication (AAC) are often excluded from learning literacy skills that use phonological approaches due to challenges with verbal production of speech sounds. This study was conducted to evaluate the effectiveness of systematic literacy instruction with materials modified to teach letter-sound correspondences (LSC) to pre-adolescent and adolescents with autism spectrum disorders (ASD) with minimal or no speech who use AAC. A single subject design across three letter-sound sets was used, with three individuals with ASD. A total of 12 LSC were targeted in the intervention. During the intervention, the participants were instructed using model, guided, and independent practice trials using low-tech letter tiles followed by two extension activities: letter sorting and initial letter-sound picture books. A functional relationship was established between the LSC intervention and the percent of correct responses on the LSC assessment probes. Very large and large effects sizes were calculated for all participants across the three LSC sets. The study adds to the very limited research base related to phonics instruction for older learners (ages 9 to 18) with ASD, demonstrating that LSC progress can still be made at an older age with systematic instruction.

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3. Christopoulou M, Drosos K, Petinou K. Recent Advances of Telepractice for Autism Spectrum Disorders in Speech and Language Pathology. Neuropsychiatric disease and treatment. 2022; 18: 2379-89.

Telepractice or teletherapy is defined as the means of service delivery via technology-based platforms that allow long-distance interventions across populations, age spans, and geographical locations. Specifically, telepractice capitalizes on communication technologies such as online modules, videoconferencing, and computerized software programs, in servicing populations with communication challenges. Notably, telepractice has emerged as a potentially effective, low-cost, and promising means of conducting and completing online assessment, diagnosis, and intervention sessions for individuals with autism spectrum disorders (ASD). Moreover, telepractice allows the inclusion of parents, caregivers, and educators as potential facilitators in supporting treatment delivery in populations with ASD. This thematic review article aims to highlight and acquaint practitioners and other stakeholders with relatively recent information regarding the advantages and disadvantages of the telepractice service delivery model in ASD. Furthermore, the emergence of the COVID-19 pandemic has impacted service delivery in the field of Health Sciences including speech and language pathology (SLP). Consequently, the need to avoid face-to-face therapy sessions, recommended to SLPs as to all health practitioners, resulted in the call for adaptation and adjustment of service telepractice. This paper attempts to answer this call by suggesting supplementing traditional diagnostic and therapy resources with training modules consisting of online materials and use of animated and specially designed programs in SLP intervention with individuals with ASD. Lastly, the paper includes a discussion of research findings in the field, a conclusion, and a take-home message.

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4. Hennessy A, Seguin D, Correa S, Wang J, Martinez-Trujillo JC, Nicolson R, Duerden EG. Anxiety in children and youth with autism spectrum disorder and the association with amygdala subnuclei structure. Autism : the international journal of research and practice. 2022: 13623613221127512.

Autism spectrum disorder (ASD) is clinically characterized by social communication difficulties as well as restricted and repetitive patterns of behavior. In addition, children with ASD are more likely to experience anxiety compared with their peers who do not have ASD. Recent studies suggest that atypical amygdala structure, a brain region involved in emotions, may be related to anxiety in children with ASD. However, the amygdala is a complex structure composed of heterogeneous subnuclei, and few studies to date have focused on how amygdala subnuclei relate to in anxiety in this population. The current sample consisted of 95 children with ASD and 139 non-autistic children, who underwent magnetic resonance imaging (MRI) and assessments for anxiety. The amygdala volumes were automatically segmented. Results indicated that children with ASD had elevated anxiety scores relative to peers without ASD. Larger basal volumes predicted greater anxiety in children with ASD, and this association was not seen in non-autistic children. Findings converge with previous literature suggesting ASD children suffer from higher levels of anxiety than non-autistic children, which may have important implications in treatment and interventions. Our results suggest that volumetric estimation of amygdala’s subregions in MRI may reveal specific anxiety-related associations in children with ASD.

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5. Junnarkar VS, Tong HJ, Hanna KMB, Aishworiya R, Duggal M. Qualitative study on barriers and coping strategies for dental care in autistic children: Parents’ perspective. International journal of paediatric dentistry. 2022.

BACKGROUND: Children with autism spectrum disorders (ASD) face challenges in home oral care, accessing a dentist and accepting dental treatment. AIM: To determine the barriers to dental care for autistic children in Singapore through the experiences and opinions of their parents. DESIGN: A qualitative exploratory approach comprising semistructured interviews and a focus group discussion was used. Audio recordings were transcribed and coded into themes using NVivo 12 software. RESULTS: Participants were 23 parents of autistic children aged 3-12 years. The following barriers were identified: (1) Sensory, physical and parental knowledge issues are related to toothbrushing difficulties and use of nonoptimally fluoridated toothpaste in autistic children. (2) Accessing dental services was hindered by a lack of parental knowledge on the importance of an early dental home, parental apprehension about the child’s acceptance of dental care, lack of information on specialised dentists and perceived high cost of dental visits. Parental suggestions for improvements included understanding the child’s sensory profile, more information on finding a suitable dentist and subsidisation of costs for multiple acclimatisation visits. CONCLUSION: Caregivers’ education, information about specialised dentists and the availability of specific dental care resources for autistic children in Singapore are needed for optimising their dental care.

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6. Kwon CS, Wirrell EC, Jetté N. Autism Spectrum Disorder and Epilepsy. Neurologic clinics. 2022; 40(4): 831-47.

Autism spectrum disorder (ASD), was first described in 1943 as a disorder consisting of a triad of qualitative impairments of social interaction, communication and restricted repetitive patterns of behavior, interests, and activities. The relationship between ASD and epilepsy is well documented. Patients with ASD have an increased risk of epilepsy, while those with epilepsy have a higher risk of ASD, as compared with the general population. Diagnosing epilepsy in those with ASD can be challenging. For example, stereotyped behaviors could be mistaken as ASD stereotypies, when in fact, they may be due to seizures. Fortunately, in recent years, we have gained a better understanding of the best antiseizure medications (ASMs) to use in this vulnerable population. However, more studies are needed to understand how best to screen for ASD in epilepsy, what the various ASD phenotypes are in people with epilepsy, especially those due to de novo genes/mutations, as well as factors influencing the fluctuating nature of ASD symptoms (eg, seizure type, frequency, syndromes, ASMs)..

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7. Li X, Peng Y, Zheng X. The Association Between Mother’s Descriptive Language and Children with Autism’s Conversational Repair: A Moderated Mediation Analysis. Journal of autism and developmental disorders. 2022.

This study tested the role of children with autism spectrum disorder (ASD)’s conversational expansion in mediating between mothers’ descriptive language and children with ASD’s conversational repair, and whether this mediation was moderated by the relative complexity of mother-child language. Videos of forty children with ASD engaging in various activities with their mothers were transcribed into language samples and then coded. Mediation analyses indicated that conversational expansion mediated the association between descriptive language and conversational repair. Moderated mediation analysis further indicated that the relative complexity of mother-child language moderated the relationship between descriptive language and conversational expansion, creating a conditional indirect effect. Although preliminary, the results of this study provide parents and practitioners with a new idea of language intervention strategies.

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8. Melvin CL, Barnoux M, Alexander R, Roy A, Devapriam J, Blair R, Tromans S, Shepstone L, Langdon PE. A systematic review of in-patient psychiatric care for people with intellectual disabilities and/or autism: effectiveness, patient safety and experience. BJPsych open. 2022; 8(6): e187.

BACKGROUND: An increasing number of children, adolescents and adults with intellectual disabilities and/or autism are being admitted to general psychiatric wards and cared for by general psychiatrists. AIMS: The aim of this systematic review was to consider the likely effectiveness of in-patient treatment for this population, and compare and contrast differing models of in-patient care. METHOD: A systematic search was completed to identify papers where authors had reported data about the effectiveness of in-patient admissions with reference to one of three domains: treatment effect (e.g. length of stay, clinical outcome, readmission), patient safety (e.g. restrictive practices) and patient experience (e.g. patient or family satisfaction). Where possible, outcomes associated with admission were considered further within the context of differing models of in-patient care (e.g. specialist in-patient services versus general mental health in-patient services). RESULTS: A total of 106 studies were included and there was evidence that improvements in mental health, social functioning, behaviour and forensic risk were associated with in-patient admission. There were two main models of in-patient psychiatric care described within the literature: admission to a specialist intellectual disability or general mental health in-patient service. Patients admitted to specialist intellectual disability in-patient services had greater complexity, but there were additional benefits, including fewer out-of-area discharges and lower seclusion rates. CONCLUSIONS: There was evidence that admission to in-patient services was associated with improvements in mental health for this population. There was some evidence indicating better outcomes for those admitted to specialist services.

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9. Moridian P, Ghassemi N, Jafari M, Salloum-Asfar S, Sadeghi D, Khodatars M, Shoeibi A, Khosravi A, Ling SH, Subasi A, Alizadehsani R, Gorriz JM, Abdulla SA, Acharya UR. Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review. Frontiers in molecular neuroscience. 2022; 15: 999605.

Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits and repetitive behavior in affected individuals. Various ASD detection methods have been developed, including neuroimaging modalities and psychological tests. Among these methods, magnetic resonance imaging (MRI) imaging modalities are of paramount importance to physicians. Clinicians rely on MRI modalities to diagnose ASD accurately. The MRI modalities are non-invasive methods that include functional (fMRI) and structural (sMRI) neuroimaging methods. However, diagnosing ASD with fMRI and sMRI for specialists is often laborious and time-consuming; therefore, several computer-aided design systems (CADS) based on artificial intelligence (AI) have been developed to assist specialist physicians. Conventional machine learning (ML) and deep learning (DL) are the most popular schemes of AI used for diagnosing ASD. This study aims to review the automated detection of ASD using AI. We review several CADS that have been developed using ML techniques for the automated diagnosis of ASD using MRI modalities. There has been very limited work on the use of DL techniques to develop automated diagnostic models for ASD. A summary of the studies developed using DL is provided in the Supplementary Appendix. Then, the challenges encountered during the automated diagnosis of ASD using MRI and AI techniques are described in detail. Additionally, a graphical comparison of studies using ML and DL to diagnose ASD automatically is discussed. We suggest future approaches to detecting ASDs using AI techniques and MRI neuroimaging.

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10. Nour-Eldine W, Ltaief SM, Abdul Manaph NP, Al-Shammari AR. In search of immune cellular sources of abnormal cytokines in the blood in autism spectrum disorder: A systematic review of case-control studies. Frontiers in immunology. 2022; 13: 950275.

Abnormal cytokine levels in circulating blood have been repeatedly reported in autism; however, the underlying cause remains unclear. This systematic review aimed to investigate cytokine levels in peripheral blood compartments and identify their potential immune cellular sources in subjects with autism through comparison with controls. We conducted an electronic database search (PubMed, Scopus, ProQuest Central, Ovid, SAGE Journals, and Wiley Online Library) from inception (no time limits) to July 9, 2020, and identified 75 relevant articles. Our qualitative data synthesis focused on results consistently described in at least three independent studies, and we reported the results according to the PRISMA protocol. We found that compared with controls, in subjects with autism, cytokines IL-6, IL-17, TNF-α, and IL-1β increased in the plasma and serum. We also identified monocytes, neutrophils, and CD4+ T cells as potential sources of these elevated cytokines in autism. Cytokines IFN-γ, TGF-β, RANTES, and IL-8 were increased in the plasma/serum of subjects with autism, and IFN-γ was likely produced by CD4+ T cells and natural killer (NK) cells, although conflicting evidence is present for IFN-γ and TGF-β. Other cytokines-IL-13, IL-10, IL-5, and IL-4-were found to be unaltered in the plasma/serum and post-stimulated blood immune cells in autistic individuals as compared with controls. The frequencies of T cells, monocytes, B cells, and NK cells were unchanged in subjects with autism as opposed to controls, suggesting that abnormal cytokines were unlikely due to altered cell numbers but might be due to altered functioning of these cells in autism. Our results support existing studies of abnormal cytokines in autism and provide comprehensive evidence of potential cellular sources of these altered cytokines in the context of autism. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020205224, identifier [CRD42020205224].

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11. Reynolds K, Chandio N, Chimoriya R, Arora A. The Effectiveness of Sensory Adaptive Dental Environments to Reduce Corresponding Negative Behaviours and Psychophysiology Responses in Children and Young People with Intellectual and Developmental Disabilities: A Protocol of a Systematic Review and Meta-Analysis. International journal of environmental research and public health. 2022; 19(21).

People with Intellectual and Developmental Disabilities (IDDs) are disproportionately vulnerable to poorer oral health due to their complex needs specifically sensory processing difficulties. This leads to increased maladaptive behaviours and psychophysiology responses of dental anxiety amplified by the overstimulating aspects of the dental environment. Although, there is a growing body of evidence to suggest that sensory adaptions are an effective strategy for individuals with IDDs in a wide range of settings, there is a lack of high-quality evidence detailing the effectiveness in a dental setting. The objective of this review is to assess the effectiveness of sensory adaptive dental environments (SADE) to reduce dental anxiety, corresponding negative behaviours and psychophysiology responses in children and young people with IDDs. The systematic review will include all Randomized Controlled Trials (RCTs) that investigate the effectiveness of SADE compared to control (no intervention), waitlist or usual care (regular dental environment) to reduce dental anxiety and the corresponding negative behaviours and psychophysiology responses in children and young people (upto the ages of 24 years) with IDDs. This review will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Databases including MEDLINE (Ovid), The Cochrane Library, Embase, Google Scholar, Web of Science and OT Seeker will be searched using appropriate keywords. Additionally, citation searching will be conducted. Screening based on titles and abstracts will be done after de-duplication, followed by full-text reading for selection based on the inclusion criteria. Data extracted from the included studies will be tabulated and assessed for risk of bias. If applicable, a meta-analysis of the pooled data will be conducted. The review is registered with PROSPERO (CRD42022322083).

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12. Roselló B, Mira Á, Berenguer C, Baixauli I, Miranda A. Personal and Family Childhood Predictors of Functional Outcomes of Adolescents With Autism Spectrum Disorder. Psicothema. 2022; 34(4): 508-17.

BACKGROUND: The transition to adolescence can be challenging for children with autism spectrum disorder (ASD). The present study explored child and family variables that predict functional outcomes of adolescents with ASD in emotional/behavioral difficulties, socialization, daily living skills, and the transition to secondary education. METHOD: Forty-five individuals with ASD, without intellectual disability, were assessed during childhood (aged 7-11) and almost five years later. Child measures (executive functions, theory of mind, autism symptom severity) and parent measures (parenting stress, social support, coping strategies) were collected. RESULTS: In adolescence, the predictive power of childhood executive functions was important for academic and behavioral/emotional indicators whereas theory of mind mainly predicted adaptive and behavior/emotional outcomes. ASD symptoms had predictive value in all outcome domains. Parental educational level, social support and parenting distress predicted socialization, while the engagement coping strategy had a significant role in daily living skills. CONCLUSIONS: The findings raise several clinical considerations related to assessment and intervention in autism. Executive functions and theory of mind programs could help to improve behavior/emotional, adaptive outcomes, and adjustment to school. In addition, the study indicates the need for family-centered interventions based on positive parenting practices and principles of behavioral analysis along with parental support, stress management and coping strategies.

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13. Sáez-Suanes GP, García-Villamisar D, Pozo Armentia AD. Does the gender matter?: Anxiety symptoms and emotion dysregulation in adults with autism and intellectual disabilities. Autism research : official journal of the International Society for Autism Research. 2022.

Research shows high rates of anxious symptoms in people autistic spectrum disorder (ASD). Finding factors related to the development of anxiety in ASD is necessary. Emotion regulation (ER) is associated with anxiety in ASD. Moreover, some studies find higher rates of anxiety in women with ASD. A total of 121 adults (M = 35.46 years, SD = 9.46) with ASD and intellectual disabilities were evaluated to verify moderating role of gender and mediating role of ER. A moderated mediation analysis supported the moderated role of gender in the relationship mediated by emotional dysregulation between ASD and anxiety. These findings suggest that interventions designed to prevent or reduce anxiety symptoms in women with ASD should include among their goals emotional regulation. LAY SUMMARY: If we want to reduce or prevent anxiety symptoms in women with ASD we must work on emotional regulation.

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14. Schwartz Offek E, Segal O. Comparing Theory of Mind Development in Children with Autism Spectrum Disorder, Developmental Language Disorder, and Typical Development. Neuropsychiatric disease and treatment. 2022; 18: 2349-59.

BACKGROUND: Theory of mind (ToM) is the ability to recognize, comprehend, and consider oneself’s and others’ mental states and perspectives to predict and explain behaviors and motivations. It is widely accepted that children with autism spectrum disorder (ASD) experience difficulties with ToM. However, there are also findings suggesting that ToM abilities might also be compromised in children with Developmental Language Disorders (DLD). PURPOSE: To assess ToM abilities in three groups of children: 1. ASD with no language difficulties; 2. DLD, known for their language disorder; and 3. TD with no language issues. MATERIALS AND METHODS: A total of 41 preschool children aged 5-to-6 were examined and assigned to one of the three groups based on previous clinical reports and a standardized Hebrew language assessment tool. Nonverbal IQ was established with a standardized test to verify within average range placement (>75 IQ). ToM skills were examined with a Hebrew version of the ToM Task Battery and parent’s questionnaire (ToMI). RESULTS: Children with ASD had significantly lower ToM scores compared to the children with DLD, and TD. The ToM scores of the children with DLD were similar to the scores of the TD children. According to the parents’ questionnaires, both the ASD children and the DLD children had less developed ToM skills compared to their TD peers. CONCLUSION: The present findings suggest that children with ASD have a fundamental difficulty in ToM that is independent of their language abilities. Children with DLD show difficulties in everyday social interactions that involve ToM. It is possible that both ASD and language disorders influence ToM development, suggesting that different developmental routes affect the acquisition of ToM.

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15. Sterrett K, Holbrook A, Landa R, Kaiser A, Kasari C. The effect of responsiveness to speech-generating device input on spoken language in children with autism spectrum disorder who are minimally verbal(†). Augmentative and alternative communication (Baltimore, Md : 1985). 2022: 1-10.

The use of speech-generating devices (SGD) in early interventions for children with autism spectrum disorder (ASD) can improve communication and spoken language outcomes. The purpose of this study was to describe children’s responsiveness to SGD input modeled by a social partner during adult-child play interactions over a 24-week intervention trial and explore the effect of that responsiveness on spoken language growth. This secondary analysis consisted of 31 children with less than 20 functional words at study entry who received a blended behavioral intervention (JASPER + EMT) as part of a randomized controlled trial. Significant improvements were seen in rate of responsiveness to both adult SGD models and adult natural speech models; only rate of responsiveness to SGD models at entry was a significant predictor of frequency of commenting and was a more robust predictor of number of different words post-intervention. Lastly, at entry, children with more joint attention and language responded to SGD models at significantly higher rates. Attention and responsiveness to SGD output may be important mechanisms of language growth and children who have more joint attention skills may particularly benefit from use of an SGD.

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16. Talbot CF, Madrid JE, Del Rosso LA, Capitanio JP, Garner JP, Parker KJ. Rhesus monkey sociality is stable across time and linked to variation in the initiation but not receipt of prosocial behavior. American journal of primatology. 2022; 84(12): e23442.

Rhesus monkeys and humans are highly social primates, yet both species exhibit pronounced variation in social functioning, spanning a spectrum of sociality. Naturally occurring low sociality in rhesus monkeys may be a promising construct by which to model social impairments relevant to human autism spectrum disorder (ASD), particularly if low sociality is found to be stable across time and associated with diminished social motivation. Thus, to better characterize variation in sociality and social communication profiles, we performed quantitative social behavior assessments on N = 95 male rhesus macaques (Macaca mulatta) housed in large, outdoor groups. In Study 1, we determined the social classification of our subjects by rank-ordering their total frequency of nonsocial behavior. Monkeys with the greatest frequency of nonsocial behavior were classified as low-social (n = 20) and monkeys with the lowest frequency of nonsocial behavior were classified as high-social (n = 21). To assess group differences in social communication profiles, in Study 2, we quantified the rates of transient social communication signals, and whether these social signals were initiated by or directed towards the focal subject. Finally, in Study 3, we assessed the within-individual stability of sociality in a subset of monkeys (n = 11 low-social, n = 11 high-social) two years following our initial observations. Nonsocial behavior frequency significantly correlated across the two timepoints (Studies 1 and 3). Likewise, low-social versus high-social classification accurately predicted classification two years later. Low-social monkeys initiated less prosocial behavior than high-social monkeys, but groups did not differ in receipt of prosocial behavior, nor did they differ in threat behavior. These findings indicate that sociality is a stable, trait-like characteristic and that low sociality is linked to diminished initiation of prosocial behavior in rhesus macaques. This evidence also suggests that low sociality may be a useful construct for gaining mechanistic insight into the social motivational deficits often observed in people with ASD.

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17. Vogindroukas I, Stankova M, Chelas EN, Proedrou A. Language and Speech Characteristics in Autism. Neuropsychiatric disease and treatment. 2022; 18: 2367-77.

The aim of this paper is to provide information regarding diversity in speech and language profiles of individuals with Autism Spectrum Disorders (ASD) and try to classify these profiles according to the combination of the communication difficulties. Research findings confirm the existence of heterogeneity of communication challenges in ASD across the lifespan. A lot of children with ASD experience communication challenges and strengths across all language sub-systems including pragmatics, grammar, semantics, syntax, phonology, and morphology in both oral and written language, while some children with autism demonstrate exceptional language abilities incl. linguistic creativity. Communication issues vary on a continuum of severity so that some children may be verbal, whereas others remain non-verbal or minimally-verbal. The diversity of profiles in speech and language development stem from either the presence of comorbid factors, as a core symptom of autistic behavior without comorbidity or both, with the development of complex clinical symptoms. Difficulties with the semantic aspect of language affect the individual’s skills in abstract thinking, multiple meanings of words, concept categorization, and so on. Finally, the coexistence of ASD with other communication difficulties such as a Language Disorder, Apraxia of Speech, Speech Sound Disorders or/and other neurodevelopmental disorders raises the need for examining more carefully the emergence of new clinical profiles and clinical markers useful in performing differential diagnosis and different intervention.

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18. Wei RQ, Guo WL, Wu YT, Alarcòn Rodrìguez R, Requena Mullor MDM, Gui YC, Xu JW. Bioinformatics analysis of genomic and immune infiltration patterns in autism spectrum disorder. Annals of translational medicine. 2022; 10(18): 1013.

BACKGROUND: Autism spectrum disorder (ASD) is a specific type of pervasive developmental disorder, and most studies suggest that the onset of autism may be related to genetic and immune factors. The etiology of autism and the underlying molecular events need to be further addressed. METHODS: The ASD-related dataset GSE18123 was downloaded from the Gene Expression Omnibus (GEO) database. Gene set enrichment analysis (GSEA) was used to screen for Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that may be associated with autism. The top 5,000 genes with an absolute median difference were obtained, and a co-expression network was constructed using weighted correlation network analysis (WGCNA). In addition, GO and KEGG enrichment analyses were performed for genes in the modules most closely related to ASD. Hub genes were found in the significant modules, and the expression values and receiver operating characteristic (ROC) curves of the hub genes were analyzed and validated. Immune cell infiltration in ASD was calculated using the CIBERSORT algorithm, and the relationship between hub genes and immune cells was analyzed. Finally, GSEA was used to explore the potential pathways of hub genes affecting ASD. RESULTS: The 5,000 DEGs were divided into eight significant modules by WGCNA. The green module was most significantly associated with ASD, and two hub genes [fatty acid-binding protein 2 (FABP2) and Janus kinase 2 (JAK2)] were found. Immune cell infiltration showed that resting dendritic cells and monocytes differed significantly in ASD and healthy individuals. FABP2 was significantly associated with memory B cells and CD8 T cells. JAK2 was significantly associated with monocytes, CD4 activated memory T cells, CD4 resting memory T cells, activated dendritic cells, gamma delta T cells, regulatory T cells (Tregs), CD8 T cells, and naïve CD4 T cells. FABP2 and JAK2 were found to affect multiple pathways of immunity. CONCLUSIONS: FABP2 and JAK2 may influence the immune microenvironment of ASD by regulating immune cells and immune-related pathways and are candidate molecular markers for the development of ASD.

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