The co-morbidity burden of children and young adults with autism spectrum disorders

Role of inflammation in epilepsy and neurobehavioral comorbidities: Implication for therapy

Epilepsy is a devastating condition affecting around 70 million people worldwide. Moreover, the quality of life of people with epilepsy (PWE) is worsened by a series of comorbidities. The neurobehavioral comorbidities discussed herein share a reciprocal and complex relationship with epilepsy, which ultimately complicates the treatment process in PWE. Understanding the mechanistic pathway by which these comorbidities are associated with epilepsy might be instrumental in developing therapeutic interventions. Inflammatory cytokine signaling in the brain regulates important brain functions including neurotransmitter metabolism, neuroendocrine function, synaptic plasticity, dopaminergic transmission, the kynurenine pathway, and affects neurogenesis as well as the neural circuitry of moods. In this review, we hypothesize that the complex relationship between epilepsy and its related comorbidities (cognitive impairment, depression, anxiety, autism, and schizophrenia) can be unraveled through the inflammatory mechanism that plays a prominent role in all these individual conditions. An ample amount of evidence is available reporting the role of inflammation in epilepsy and all individual comorbid condition but their complex relationship with epilepsy has not yet been explored through the prospective of inflammatory pathway. Our review suggests that epilepsy and its neurobehavioral comorbidities are associated with elevated levels of several key inflammatory markers. This review also sheds light on the mechanistic association between epilepsy and its neurobehavioral comorbidities. Moreover, we analyzed several anti-inflammatory therapies available for epilepsy and its neurobehavioral comorbidities. We suggest, these anti-inflammatory therapies might be a possible intervention and could be a promising strategy for preventing epileptogenesis and its related neurobehavioral comorbidities.

Early Disruption of the Microbiome Leading to Decreased Antioxidant Capacity and Epigenetic Changes: Implications for the Rise in Autism

Currently, 1 out of every 59 children in the United States is diagnosed with autism. While initial research to find the possible causes for autism were mostly focused on the genome, more recent studies indicate a significant role for epigenetic regulation of gene expression and the microbiome. In this review article, we examine the connections between early disruption of the developing microbiome and gastrointestinal tract function, with particular regard to susceptibility to autism. The biological mechanisms that accompany individuals with autism are reviewed in this manuscript including immune system dysregulation, inflammation, oxidative stress, metabolic and methylation abnormalities as well as gastrointestinal distress. We propose that these autism-associated biological mechanisms may be caused and/or sustained by dysbiosis, an alteration to the composition of resident commensal communities relative to the community found in healthy individuals and its redox and epigenetic consequences, changes that in part can be due to early use and over-use of antibiotics across generations. Further studies are warranted to clarify the contribution of oxidative stress and gut microbiome in the pathophysiology of autism. A better understanding of the microbiome and gastrointestinal tract in relation to autism will provide promising new opportunities to develop novel treatment modalities.

Development and Evaluation of an Educational Initiative to Improve Hospital Personnel Preparedness to Care for Children with Autism Spectrum Disorder

OBJECTIVE

To evaluate the effectiveness of a multimodal educational curriculum on increasing hospital personnel's awareness of successful strategies and comfort in caring for children with autism spectrum disorder (ASD).

METHODS

We developed a 3-part training for front-line staff (i.e., front desk, clinical assistants, and phlebotomists) in 8 outpatient hospital departments frequented by patients with ASD. Following a needs assessment, participants completed an online educational module and then attended an in-person seminar tailored to each department. To evaluate training effectiveness, we administered pre-, immediate post-, and 1 month post-training surveys assessing personnel attitudes, comfort, perceived knowledge, and behaviors around caring for patients with ASD.

RESULTS

We trained 168 staff members from 8 departments. On the needs assessment, participants (N = 129) reported a mean 2.5 behavioral incidents involving patients with ASD over the previous 3 months; 92% believed that the training would be helpful for their work. Across pre-, immediate- and 1-month post-training surveys, scores improved on all questions related to personnel attitudes about the importance of ASD-friendly care, comfort interacting with patients with ASD, perceived knowledge about ASD, and self-reported frequency of behaviors intended to help children with ASD adjust to the hospital setting (p < 0.05). There was no difference in baseline scores or change in scores between clinical and nonclinical personnel. On a program evaluation (N = 57), 81% rated the training as "very good" or "excellent," and 87% reported that they would be able to apply training material immediately to their role.

CONCLUSION

This training initiative led to improvement in attitudes, comfort level, perceived knowledge, and self-reported behaviors of hospital personnel working with patients with ASD, which was maintained over 1 month.

Behavioral Phenotype of ASD Preschoolers with Gastrointestinal Symptoms or Food Selectivity

This study investigated the prevalence and type of gastrointestinal (GI) and food selectivity (FS) symptoms in 163 preschoolers with ASD, and their possible links with core ASD features and emotional/behavioural problems. 40.5% of children with ASD had at least one severe GI symptom or FS. Preschoolers with and without GI symptoms and with and without FS were significantly different on several emotional/behavioural problems and restrictive/repetitive behaviours, whereas they did not differ significantly on performance IQ and autistic severity. The GI plus FS group presented with Sleep Problems, Self-injurious Behaviors and Anxiety Problems. Results indicated the need for early identification of GI disturbances and FS in order to design tailored intervention for these symptoms frequently associated to challenging behaviours in ASD.

Relation of Psychiatric Symptoms with Epilepsy, Asthma, and Allergy in Youth with ASD vs. Psychiatry Referrals

The present study aimed to characterize the association of psychopathology with the clinical correlates of epilepsy, asthma, and allergy within and between neurobehavioral syndromes. Participants were consecutively evaluated youth (6-18 years, 75 % male) with autism spectrum disorder (ASD; n = 589) and non-ASD outpatient psychiatry referrals (n = 653). Informants completed a background questionnaire (parents) and a psychiatric symptom severity rating scale (parents, teachers). Youth with ASD had higher rates of epilepsy and allergy but not asthma than psychiatry referrals, even when analyses were limited to youth with IQ ≥ 70. Somatic conditions evidenced variable associations with medical services utilization, educational interventions, family income, and maternal education. Youth with ASD with versus without epilepsy had more severe ASD social deficits (parents' ratings) and less severe ASD repetitive behaviors (teachers' ratings). Epilepsy was associated with more severe depression, mania, and schizophrenia symptoms in youth with ASD. Youth with allergy (psychiatry referrals only) had more severe anxiety and depression symptoms (parents' ratings) but less severe aggression (teachers' ratings) thus providing evidence of both context- and diagnostic-specificity. Youth with ASD versus non-ASD psychiatry referrals evidence a variable pattern of relations between somatic conditions and a range of clinical correlates, which suggests that the biologic substrates and psychosocial concomitants of neurodevelopmental disorders and their co-occurring somatic conditions may interact to produce unique clinical phenotypes.

Psychiatric and Medical Conditions in Transition-Aged Individuals With ASD

BACKGROUND AND OBJECTIVES

Children with autism spectrum disorder (ASD) have a variety of medical and psychiatric conditions and an increased use of health care services. There is limited information about the prevalence of psychiatric and medical conditions in adolescents and young adults with ASD. Our objective was to describe the frequency of medical and psychiatric conditions in a large population of diverse, insured transition-aged individuals with ASD.

METHODS

Participants included Kaiser Permanente Northern California members who were enrolled from 2013 to 2015 and who were 14 to 25 years old. Individuals with ASD (n = 4123) were compared with peers with attention-deficit/hyperactivity disorder (n = 20 615), diabetes mellitus (n = 2156), and typical controls with neither condition (n = 20 615).

RESULTS

Over one-third (34%) of individuals with ASD had a co-occurring psychiatric condition; the most commonly reported medical conditions included infections (42%), obesity (25%), neurologic conditions (18%), allergy and/or immunologic conditions (16%), musculoskeletal conditions (15%), and gastrointestinal (11%) conditions. After controlling for sex, age, race, and duration of Kaiser Permanente Northern California membership, most psychiatric conditions were significantly more common in the ASD group than in each comparison group, and most medical conditions were significantly more common in the ASD group than in the attention-deficit/hyperactivity disorder and typical control groups but were similar to or significantly less common than the diabetes mellitus group.

CONCLUSIONS

Although more research is needed to identify factors contributing to this excess burden of disease, there is a pressing need for all clinicians to approach ASD as a chronic health condition requiring regular follow-up and routine screening and treatment of medical and psychiatric issues.

Prevalence and Correlates of Autism Spectrum Disorders in Quebec: Prévalence et corrélats des troubles du spectre de l'autisme au Québec

OBJECTIVE

To estimate the prevalence, comorbidities, and service use of people with autism spectrum disorders (ASDs) based on data from Quebec Integrated Chronic Diseases Surveillance System (QICDSS).

METHODS

We included all residents up to age 24 eligible for health plan coverage who were in Quebec for at least 1 day from January 1, 1996, to March 31, 2015. To be considered as having an ASD, an individual had to have had at least 1 physician claim or hospital discharge abstract from 2000 to 2015 indicating one of the following ASD diagnosis codes: ICD-9 codes 299.0 to 299.9 or their ICD-10 equivalents.

RESULTS

The QICDSS shows that the prevalence of ASD has risen steadily over the past decade to approximately 1.2% ( n = 16,940) of children and youths aged 1 to 17 years in 2014 to 2015. The same prevalence was obtained using Ministry of Education data. Common medical comorbidities included congenital abnormalities of the nervous system, particularly in the first year of life. Psychiatric comorbidity was much more highly prevalent, especially common mental disorders like anxiety and attention-deficit/hyperactivity disorder. Children and youths with ASDs made on average 2.3 medical visits per year compared with 0.2 in the general population. Between 18 and 24 years old, the mental health needs of individuals with ASDs were met less by medical specialists and more by general practitioners.

CONCLUSION

Information derived from this database could support and monitor development of better medical services coordination and shared care to meet the continuous and changing needs of patients and families over time.

Serotonin as a link between the gut-brain-microbiome axis in autism spectrum disorders

Autism-spectrum disorder (ASD) is a neurodevelopmental disorder characterized by persistent deficits in social communication and repetitive patterns of behavior. ASD is, however, often associated with medical comorbidities and gastrointestinal (GI) dysfunction is among the most common. Studies have demonstrated a correlation between GI dysfunction and the degree of social impairment in ASD. The etiology of GI abnormalities in ASD is unclear, though the association between GI dysfunction and ASD-associated behaviors suggest that overlapping developmental defects in the brain and the intestine and/or a defect in communication between the enteric and central nervous systems (ENS and CNS, respectively), known as the gut-brain axis, could be responsible for the observed phenotypes. Brain-gut abnormalities have been increasingly implicated in several disease processes, including ASD. As a critical modulator of ENS and CNS development and function, serotonin may be a nexus for the gut-brain axis in ASD. This paper reviews the role of serotonin in ASD from the perspective of the ENS. A murine model that has been demonstrated to possess brain, behavioral and GI abnormalities mimicking those seen in ASD harbors the most common serotonin transporter (SERT) based mutation (SERT Ala56) found in children with ASD. Discussion of the gut-brain manifestations in the SERT Ala56 mice, and their correction with developmental administration of a 5-HT₄ agonist, are also addressed in conjunction with other future directions for diagnosis and treatment.

Clinical Natural Language Processing in languages other than English: opportunities and challenges

Background

Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area.

Main Body

We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in other languages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and (3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLP techniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other than English. We classify these studies into three groups: (i) studies describing the development of new NLP systems or components de novo, (ii) studies describing the adaptation of NLP architectures developed for English to another language, and (iii) studies focusing on a particular clinical application.

Conclusion

We show the advantages and drawbacks of each method, and highlight the appropriate application context. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.

Gut-immune-brain dysfunction in Autism: Importance of sex

Autism Spectrum Disorder (ASD) is characterized by social behavior deficits, stereotypies, cognitive rigidity, and in some cases severe intellectual impairment and developmental delay. Although ASD is most widely identified by its neurological deficits, gastrointestinal issues are common in ASD. An intimate and complex relationship exists between the gut, the immune system, and the brain, leading to the hypothesis that ASD may be a systems-level disease affecting the gut and immune systems, in addition to the brain. Despite significant advances in understanding the contribution of the gut and immune systems to the etiology of ASD, there is an intriguing commonality among patients that is not well understood: they are predominantly male. Virtually no attention has been given to the potential role of sex-specific regulation of gut, peripheral, and central immune function in ASD, despite the 4:1 male-to-female bias in this disorder. In this review, we discuss recent revelations regarding the impact of gut-immune-brain relationships on social behavior in rodent models and in ASD patients, placing them in the context of known or putative sex specific mechanisms.

A scoping review of what is known of the physical health of adults with autism spectrum disorder

Little research has been carried out on the physical health of people with autism spectrum disorder (ASD). From the studies conducted with both children and adults, few studies have moved beyond retrospective record analysis and survey and conducted health assessment. The majority of the studies are from the United States of America with a small number conducted in Europe. A scoping review was conducted to determine what is known of the physical health of adults with ASD and to identify research gaps. In addition to studies of adults, this review includes studies of children to determine possible health trajectories. From the findings, it can be stated with confidence that people with ASD have a high rate of comorbidity and increased risk for chronic disease.

Two de novo variations identified by massively parallel sequencing in 13 Chinese families with children diagnosed with autism spectrum disorder

Autism spectrum disorder (ASD) is a genetically heterogeneous neurodevelopmental disorder characterized by impairments in social interaction and communication, and by restricted and repetitive behaviors. The genetic architecture of ASD has been elucidated, including chromosomal rearrangements, de novo or inherited rare variants, and copy number variants. However, the genetic mechanism of Chinese families with ASD children is explored rarely. To identify genetic pathogenesis, we performed massively parallel sequencing on 13 Chinese ASD trio families, and found two de novo variations. The novel de novo splice alteration c.664 + 2T > G in the DEAF1 gene and the novel de novo missense mutation c.95 C > T in the AADAT gene associated with ASD may be important clues for exploring the etiology of this disorder.

Functional Categorization of Disease Genes Based on Spectral Graph Theory and Integrated Biological Knowledge

Interaction of multiple genetic variants is a major challenge in the development of effective treatment strategies for complex disorders. Identifying the most promising genes enhances the understanding of the underlying mechanisms of the disease, which, in turn leads to better diagnostic and therapeutic predictions. Categorizing the disease genes into meaningful groups even helps in analyzing the correlated phenotypes which will further improve the power of detecting disease-associated variants. Since experimental approaches are time consuming and expensive, computational methods offer an accurate and efficient alternative for analyzing gene-disease associations from vast amount of publicly available genomic information. Integration of biological knowledge encoded in genes are necessary for identifying significant groups of functionally similar genes and for the sufficient biological elucidation of patterns classified by these clusters. The aim of the work is to identify gene clusters by utilizing diverse genomic information instead of using a single class of biological data in isolation and using efficient feature selection methods and edge pruning techniques for performance improvement. An optimized and streamlined procedure is proposed based on spectral clustering for automatic detection of gene communities through a combination of weighted knowledge fusion, threshold-based edge detection and entropy-based eigenvector subset selection. The proposed approach is applied to produce communities of genes related to Autism Spectrum Disorder and is compared with standard clustering solutions.

A prospective study comparing perioperative anxiety and posthospital behavior in children with autism spectrum disorder vs typically developing children undergoing outpatient surgery

BACKGROUND

Research describing the experience of youth with autism spectrum disorders in the perioperative setting is limited. This study compared youth with autism spectrum disorder to typically developing children in the perioperative setting and examined group differences in: child anxiety, parent anxiety, premedication patterns, induction compliance, and changes in behavior postprocedure.

METHODS

Participants were 60 youth (32 with autism spectrum disorder, 28 typically developing) of ages 2-19 years undergoing outpatient surgery and their parents. Parents and research assistants rated children's anxiety at 3 time points (waiting room, preoperative holding, separation), and parents rated their own anxiety in the waiting room and at separation. The anesthesiologist rated induction compliance. Postprocedure behavior change was assessed via phone survey 1 and 7 days postprocedure. Analyses examined group differences in anxiety, medication patterns, and behavior.

RESULTS

Children with autism spectrum disorder had higher research assistant reported anxiety than typically developing youth in the holding room only. There were no group differences in parent report of their own anxiety or their child's anxiety across time points. Compared to typically developing youth, children with autism spectrum disorder were more likely to receive a premedication (including nonstandard premedication), and had poorer induction compliance. Groups did not differ on posthospital behavior change 1 or 7 days postsurgery.

CONCLUSION

Findings revealed ratings of anxiety in youth with and without autism spectrum disorder facing surgery varied by reporter and setting, highlighting the importance of using multiple reporters in research of youth with autism spectrum disorder in the perioperative period. Furthermore, while results showed group differences in premedication patterns and induction compliance, groups did not differ in level of negative behavior change after surgery. Future research can examine how individual differences in youth with autism impact anxiety in the perioperative setting and degree of behavior change postprocedure.

Prevalence and risk factors for autism spectrum disorder in epilepsy: a systematic review and meta-analysis

AIM

To assess the prevalence and risk factors for autism spectrum disorder (ASD) in epilepsy, and to better understand the relationship and comorbidity between these disorders.

METHOD

PsychINFO and PubMed were searched for articles published in the past 15 years that examined the prevalence of ASD in individuals with epilepsy.

RESULTS

A total of 19 studies were found with a pooled ASD prevalence of 6.3% in epilepsy. When divided by type, the risks of ASD for general epilepsy, infantile spasms, focal seizures, and Dravet syndrome were 4.7%, 19.9%, 41.9%, and 47.4% respectively. Studies with populations under 18 years showed a 13.2 times greater risk of ASD than study populations over 18 years, and samples with most (>50%) individuals with intellectual disability showed a greater risk 4.9 times higher than study populations with a minority of individuals with intellectual disability. The main risk factors for ASD reported in the 19 studies included presence of intellectual disability, sex, age, and symptomatic aetiology of epilepsy.

INTERPRETATION

Current research supports a high prevalence of ASD in epilepsy. This study helps to define the clinical profile of patients with epilepsy who are at risk for ASD, which may help clinicians in early screening and diagnosis of ASD in this population.

WHAT THIS PAPER ADDS

Critical evaluation of previous studies examining the prevalence of autism spectrum disorder (ASD) in individuals with epilepsy. A meta-analysis of 19 studies showed a pooled ASD prevalence of 6.3% in individuals with epilepsy. Studies that included a majority of individuals with intellectual disability or younger population age had a higher prevalence of autism. Risk factors reported in studies included presence of intellectual disability, sex, age, and symptomatic epilepsy origin.

Young children who screen positive for autism: Stability, change and "comorbidity" over two years

BACKGROUND

Autism spectrum disorder (ASD) is a developmental disorder with a wide variety of clinical phenotypes and co-occurrences with other neurodevelopmental conditions. Symptoms may change over time.

AIMS

The aim of the present study was to prospectively follow 96 children, initially assessed for suspected ASD at an average age of 2.9 years.

METHODS AND PROCEDURES

All children had been identified with autistic symptoms in a general population child health screening program, and had been referred to the Child Neuropsychiatry Clinic in Gothenburg, Sweden for further assessment by a multi-professional team at Time 1 (T1). This assessment included a broad neurodevelopmental examination, structured interviews, a cognitive test and evaluations of the child́s adaptive and global functioning. Two years later, at Time 2 (T2), the children and their parents were invited for a follow-up assessment by the same team using the same methods.

OUTCOMES AND RESULTS

Of the 96 children, 76 had met and 20 had not met full criteria for ASD at T1. Of the same 96 children, 79 met full ASD criteria at T2. The vast majority of children with ASD also had other neurodevelopmental symptoms or diagnoses. Hyperactivity was observed in 42% of children with ASD at T2, and Intellectual Developmental Disorder in 30%. Borderline Intellectual Functioning was found in 25%, and severe speech and language disorder in 20%. The children who did not meet criteria for ASD at T2 had symptoms of or met criteria for other neurodevelopmental/neuropsychiatric disorders in combination with marked autistic traits. Changes in developmental profiles between T1 and T2 were common in this group of young children with ASD. The main effect of Cognitive level at T1 explained more than twice as much of the variance in Vineland scores as did the ASD subtype; children with IDD had significantly lower scores than children in the BIF and AIF group. Co-existence with other conditions was the rule.

CONCLUSIONS AND IMPLICATIONS

Reassessments covering the whole range of these conditions are necessary for an optimized intervention-adapted to the individual child's needs.

Microbiota Signaling Pathways that Influence Neurologic Disease

Though seemingly distinct and autonomous, emerging evidence suggests there is a bidirectional interaction between the intestinal microbiota and the brain. This crosstalk may play a substantial role in neurologic diseases, including anxiety, depression, autism, multiple sclerosis, Parkinson's disease, and, potentially, Alzheimer's disease. Long hypothesized by Metchnikoff and others well over 100 years ago, investigations into the mind-microbe axis is now seeing a rapid resurgence of research. If specific pathways and mechanisms of interaction are understood, it could have broad therapeutic potential, as the microbiome is environmentally acquired and can be modified to promote health. This review will discuss immune, endocrine, and neural system pathways that interconnect the gut microbiota to central nervous system and discuss how these findings might be applied to neurologic disease.

Characterizing the Interplay Between Autism Spectrum Disorder and Comorbid Medical Conditions: An Integrative Review

Co-occurring medical disorders and associated physiological abnormalities in individuals with autism spectrum disorder (ASD) may provide insight into causal pathways or underlying biological mechanisms. Here, we review medical conditions that have been repeatedly highlighted as sharing the strongest associations with ASD-epilepsy, sleep, as well as gastrointestinal and immune functioning. We describe within each condition their prevalence, associations with behavior, and evidence for successful treatment. We additionally discuss research aiming to uncover potential aetiological mechanisms. We then consider the potential interaction between each group of conditions and ASD and, based on the available evidence, propose a model that integrates these medical comorbidities in relation to potential shared aetiological mechanisms. Future research should aim to systematically examine the interactions between these physiological systems, rather than considering these in isolation, using robust and sensitive biomarkers across an individual's development. A consideration of the overlap between medical conditions and ASD may aid in defining biological subtypes within ASD and in the development of specific targeted interventions.

Impact of Auditory Integrative Training on Transforming Growth Factor-β1 and Its Effect on Behavioral and Social Emotions in Children with Autism Spectrum Disorder

OBJECTIVE

To explore the impact of auditory integrative training (AIT) on the inflammatory biomarker transforming growth factor (TGF)-β1 and to assess its effect on social behavior in children with autism spectrum disorder (ASD).

SUBJECTS AND METHODS

In this cross-sectional study, 15 patients (14 males and 1 female) with ASD aged 3-12 years were recruited. All were screened for autism using the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). Plasma levels of TGF-β1 were measured in all patients using a sandwich enzyme-linked immunoassay (ELISA) immediately and 1 and 3 months after the AIT sessions. Pre- and post-AIT behavioral scores were also calculated for each child using the Childhood Autism Rating Scale (CARS), the Social Responsiveness Scale (SRS), and the Short Sensory Profile (SSP). Data were analyzed using the Statistical Package for the Social Sciences (SPSS 21.0 for Windows).

RESULTS

Plasma levels of TGF-β1 significantly increased to 85% immediately after AIT (20.13 ± 12 ng/mL, p < 0.05), to 95% 1 month after AIT (21.2 ± 11 ng/mL, p < 0.01), and to 105% 3 months after AIT (22.25 ± 16 ng/mL, p < 0.01) compared to before AIT (10.85 ± 8 ng/mL). Results also revealed that behavioral rating scales (CARS, SRS, and SSP) improved in terms of disease severity after AIT.

CONCLUSION

Increased plasma levels of TGF-β1 support the therapeutic effect of AIT on TGF-β1 followed by improvement in social awareness, social cognition, and social communication in children with ASD. Furthermore, TGF-β1 was associated with severity in all scores tested (CARS, SRS, and SSP); if confirmed in studies with larger sample sizes, TGF-β1 may be considered as a marker of ASD severity and to assess the efficacy of therapeutic interventions.

Association of Rigid-Compulsive Behavior with Functional Constipation in Autism Spectrum Disorder

Based upon checklist data from the Autism Speaks Autism Treatment Network, we hypothesized that functional constipation (FC) would be associated with rigid-compulsive behavior in children with autism spectrum disorder (ASD). We used the Questionnaire on Pediatric Gastrointestinal Symptoms-Rome III to assess FC symptoms in 108 children with ASD. As hypothesized, FC was associated with parent ratings on the Repetitive Behavior Scales-Revised (RBS-R) Compulsive, Ritualistic, and Sameness subscales in the overall population. Of note, FC was less common in children who were not taking medications that target behavior or treat FC. In the medication-free children, rigid-compulsive behavior was not significantly associated with FC. More research is needed to understand the mechanisms underlying these associations.

Maternal immune activation in neurodevelopmental disorders

Converging lines of evidence from basic science and clinical studies suggest a relationship between maternal immune activation (MIA) and neurodevelopmental disorders such as autism spectrum disorder (ASD) and schizophrenia. The mechanisms through which MIA increases the risk of neurodevelopmental disorders have become a subject of intensive research. This review aims to describe how dysregulation of microglial function and immune mechanisms may link MIA and neurodevelopmental pathologies. We also summarize the current evidence in animal models of MIA. Developmental Dynamics 247:588-619, 2018. © 2017 Wiley Periodicals, Inc.

Targeting gut microbiome: A novel and potential therapy for autism

Autism spectrum disorder (ASD) is a severely neurodevelopmental disorder that impairs a child's ability to communicate and interact with others. Children with neurodevelopmental disorder, including ASD, are regularly affected by gastrointestinal problems and dysbiosis of gut microbiota. On the other hand, humans live in a co-evolutionary association with plenty of microorganisms that resident on the exposed and internal surfaces of our bodies. The microbiome, refers to the collection of microbes and their genetic material, confers a variety of physiologic benefits to the host in many key aspects of life as well as being responsible for some diseases. A large body of preclinical literature indicates that gut microbiome plays an important role in the bidirectional gut-brain axis that communicates between the gut and central nervous system. Moreover, accumulating evidences suggest that the gut microbiome is involved in the pathogenesis of ASD. The present review introduces the increasing evidence suggesting the reciprocal interaction network among microbiome, gut and brain. It also discusses the possible mechanisms by which gut microbiome influences the etiology of ASD via altering gut-brain axis. Most importantly, it highlights the new findings of targeting gut microbiome, including probiotic treatment and fecal microbiota transplant, as novel and potential therapeutics for ASD diseases.

Multidimensional knowledge-based framework is an essential step in the categorization of gene sets in complex disorders

In complex disorders, collaborative role of several genes accounts for the multitude of symptoms and the discovery of molecular mechanisms requires proper understanding of pertinent genes. Majority of the recent techniques utilize either single information or consolidate the independent outlook from multiple knowledge sources for assisting the discovery of candidate genes. In any case, given that various sorts of heterogeneous sources are possibly significant for quality gene prioritization, every source bearing data not conveyed by another, we assert that a perfect strategy ought to give approaches to observe among them in a genuine integrative style that catches the degree of each, instead of utilizing a straightforward mix of sources. We propose a flexible approach that empowers multi-source information reconciliation for quality gene prioritization that augments the complementary nature of various learning sources so as to utilize the maximum information of aggregated data. To illustrate the proposed approach, we took Autism Spectrum Disorder (ASD) as a case study and validated the framework on benchmark studies. We observed that the combined ranking based on integrated knowledge reduces the false positive observations and boosts the performance when compared with individual rankings. The clinical phenotype validation for ASD shows that there is a significant linkage between top positioned genes and endophenotypes of ASD. Categorization of genes based on endophenotype associations by this method will be useful for further hypothesis generation leading to clinical and translational analysis. This approach may also be useful in other complex neurological and psychiatric disorders with a strong genetic component.

PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data

Objectives

This study proposes a novelPrior knowledge guidedIntegrated likelihoodEstimation (PIE) method to correct bias in estimations of associations due to misclassification of electronic health record (EHR)-derived binary phenotypes, and evaluates the performance of the proposed method by comparing it to 2 methods in common practice.

Methods

We conducted simulation studies and data analysis of real EHR-derived data on diabetes from Kaiser Permanente Washington to compare the estimation bias of associations using the proposed method, the method ignoring phenotyping errors, the maximum likelihood method with misspecified sensitivity and specificity, and the maximum likelihood method with correctly specified sensitivity and specificity (gold standard). The proposed method effectively leverages available information on phenotyping accuracy to construct a prior distribution for sensitivity and specificity, and incorporates this prior information through the integrated likelihood for bias reduction.

Results

Our simulation studies and real data application demonstrated that the proposed method effectively reduces the estimation bias compared to the 2 current methods. It performed almost as well as the gold standard method when the prior had highest density around true sensitivity and specificity. The analysis of EHR data from Kaiser Permanente Washington showed that the estimated associations from PIE were very close to the estimates from the gold standard method and reduced bias by 60%–100% compared to the 2 commonly used methods in current practice for EHR data.

Conclusions

This study demonstrates that the proposed method can effectively reduce estimation bias caused by imperfect phenotyping in EHR-derived data by incorporating prior information through integrated likelihood.

Depletion of Stercobilin in Fecal Matter from a Mouse Model of Autism Spectrum Disorders

INTRODUCTION

Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders lacking a clinical biomarker for diagnosis. Emerging evidence shows that intestinal microflora from ASD subjects can be distinguished from controls, suggesting metabolite differences due to the action of intestinal microbes may provide a means for identifying potential biomarkers for ASD.

OBJECTIVES

The aim of this study was to determine if quantitative differences in levels of stercobilin and stercobilinogen, metabolites produced by biological action of intestinal microflora, exist in the fecal matter between an ASD mouse model population and controls.

METHODS

Pairs of fecal samples were collected from two mouse groups, an ASD model group with Timothy syndrome 2 (TS2-NEO) and a gender-matched control group. After centrifugation, supernatant was spiked with an ¹⁸O-labeled stercobilin isotopomer and subjected to solid phase extraction for processing. Extracted samples were spotted on a stainless steel plate and subjected to matrix-assisted laser desorption and ionization mass spectrometry using dihydroxybenzoic acid as the matrix (n = 5). Peak areas for bilins and ¹⁸O-stercobilin isotopomers were determined in each fecal sample.

RESULTS

A 40-45% depletion in stercobilin in TS2-NEO fecal samples compared with controls was observed with p < 0.05; a less dramatic depletion was observed for stercobilinogen.

CONCLUSIONS

The results show that stercobilin depletion in feces is observed for an ASD mouse model vs. controls. This may help to explain recent observations of a less diverse microbiome in humans with ASD and may prove helpful in developing a clinical ASD biomarker.

Gut Microbiota and Autism: Key Concepts and Findings

There is an emerging body of evidence linking the intestinal microbiota with autism spectrum disorders (ASD). Studies have demonstrated differences in the composition of gut bacteria between children with ASD and controls. Certain intestinal bacteria have been observed in abundance and may be involved in the pathogenesis of ASD; including members of the Clostridium and Sutterella genus. Evidence from animal models suggest that certain microbial shifts in the gut may produce changes consistent with the clinical picture of autism, with proposed mechanisms including toxin production, aberrations in fermentation processes/products, and immunological and metabolic abnormalities. In this article, we review studies examining the relationship between intestinal bacteria and ASD, and discuss bacterial species that may be implicated and proposed mechanisms.

The Relationship Between Adverse Childhood Events, Resiliency and Health Among Children with Autism

Previous research has shown a negative relationship between adverse childhood events (ACEs) and health and resiliency among the general population, but has not examined these associations among children with autism. Purpose To determine the prevalence of ACEs among children with autism and how ACEs are associated with resiliency and health. Methods A quantitative analysis was conducted using data from the 2011-2012 National Survey of Children's Health. Results Children with autism experience significantly more ACEs than their peers, which is negatively associated with their health. However, resiliency is not significantly associated with ACEs in this population. ACEs disproportionately affect children with autism, which is negatively associated with health, but not resiliency. Further investigation into why children with autism experience more ACEs but maintain resiliency is warranted.

SHANK3 Regulates Intestinal Barrier Function Through Modulating ZO-1 Expression Through the PKCε-dependent Pathway

BACKGROUND

The integrity of the gut barrier in patients with inflammatory bowel disease is known to be impaired but the exact mechanisms remain mostly unknown. SHANK3 mutations are associated with autism, and patients with autism are known to have higher proportions of inflammatory bowel disease. Here, we explore the role of SHANK3 in inflammatory bowel disease, both in vivo and in vitro.

METHODS

Dextran sulfate sodium colitis was induced in SHANK3 knockout mice. Transepithelial electrical resistance, paracellular permeability, and Salmonella invasion assays were used to evaluate epithelial barrier function, in vitro and in vivo. Expression of tight junction proteins, protein kinases, and MAP kinase phosphorylation changes were analyzed by immunoblotting after overexpression or knockdown of SHANK3 expression. SHANK3 expression in intestinal tissue from patients with Crohn's disease was analyzed by quantitative polymerase chain reaction and immunohistochemistry.

RESULTS

SHANK3 knockout mice were more susceptible to dextran sulfate sodium. SHANK3 knockout resulted in a leaky epithelial barrier phenotype, as demonstrated by decreased transepithelial electrical resistance, increased paracellular permeability, and increased Salmonella invasion. Overexpression of SHANK3 enhanced ZO-1 expression, and knockdown of SHANK3 resulted in decreased expression of ZO-1. Regulation of ZO-1 expression by SHANK3 seems to be mediated through a PKCε-dependent pathway. SHANK3 expression correlated with ZO-1 and PKCε in colonic tissue of patients with Crohn's disease.

CONCLUSIONS

The expression level of SHANK3 affects ZO-1 expression and the barrier function in intestinal epithelial cells. This may provide novel insights in Crohn's disease pathogenesis and treatment.

Problems managed and medications prescribed during encounters with people with autism spectrum disorder in Australian general practice

Autism spectrum disorder is associated with high rates of co-occurring health conditions. While elevated prescription rates of psychotropic medications have been reported in the United Kingdom and the United States, there is a paucity of research investigating clinical and prescribing practices in Australia. This study describes the problems managed and medications prescribed by general practitioners in Australia during encounters where an autism spectrum disorder was recorded. Information was collected from 2000 to 2014 as part of the Bettering the Evaluation and Care of Health programme. Encounters where patients were aged less than 25 years and autism spectrum disorder was recorded as one of the reasons for encounter and/or problems managed ( n = 579) were compared to all other Bettering the Evaluation and Care of Health programme encounters with patients aged less than 25 years ( n = 281,473). At 'autism spectrum disorder' encounters, there was a significantly higher management rate of psychological problems, and significantly lower management rates of skin, respiratory and general/unspecified problems, than at 'non-autism spectrum disorder' encounters. The rate of psychological medication prescription was significantly higher at 'autism spectrum disorder' encounters than at 'non-autism spectrum disorder' encounters. The most common medications prescribed at 'autism spectrum disorder' encounters were antipsychotics and antidepressants. Primary healthcare providers need adequate support and training to identify and manage physical and mental health concerns among individuals with autism spectrum disorder.

Neuromagnetic responses to tactile stimulation of the fingers: Evidence for reduced cortical inhibition for children with Autism Spectrum Disorder and children with epilepsy

The purpose of this study was to compare somatosensory responses from a group of children with epilepsy and a group of children with autism spectrum disorder (ASD), with age matched TD controls. We hypothesized that the magnitude of the tactile "P50m" somatosensory response would be reduced in both patient groups, possibly due to reduced GABAergic signaling as has been implicated in a variety of previous animal models and in vivo human MRS studies. We observed significant (~ 25%) decreases in tactile P50m dipole moment values from the source localized tactile P50m response, both for children with epilepsy and for children with ASD. In addition, the latency of the tactile P50m peak was observed to be equivalent between TD and ASD groups but was significantly delayed in children with epilepsy by ~ 6 ms. Our data support the hypothesis of impaired GABAergic signaling in both children with ASD and children with epilepsy. Further work is needed to replicate these findings and directly relate them to both in vivo measures of GABA via e.g. magnetic resonance spectroscopy and psychophysical assessments of somatosensory function, and behavioral indices.

Connecting the dots: Overlaps between autism and cancer suggest possible common mechanisms regarding signaling pathways related to metabolic alterations

Common features between autism spectrum disorders (ASDs) and cancer have been discerned using methodologies from a number of disciplines, including genetics, bioinformatics and epidemiological studies. To understand such apparent overlaps between these two conditions and the mechanisms that may underlie these linkages, it is important to look at their multi-level systems context. Here we discuss ASDs and cancer linkages across levels ranging from genes to pathways and systems, as well as from the vantage points of mechanism and of clinical and epidemiological studies. Review of existing findings yielded evidence that ASDs and cancer overlap extensively in signal transduction pathways that are involved in metabolic processes. We hypothesize that further studies focusing on illuminating the relationships between ASDs and cancer, specifically with regard to signaling pathways that regulate metabolic activities, could help shed new insight on these conditions and develop treatment strategies that, by targeting underlying mechanisms, may be more efficient and effective for both conditions.

Disparities in Health Care Quality among Asian Children with Special Health Care Needs

There is a dearth of information on the quality of health care for Asian American children and particularly Asian children with special health care needs (CSHCN). The goal of this article was to determine whether there were disparities in quality of health care for Asian CSHCN, whose experiences have not been studied. Data were derived from the 2009-2010 National Survey of Children with Special Health Care Needs (ns = 355 non-Hispanic Asian children and 4,343 non-Hispanic white CSHCN). Bivariate and multivariate logistic regression analyses were conducted to examine the relationship between racial identity (that is, non-Hispanic white and non-Hispanic Asian) and quality of health care. Racial disparities in quality of health care were substantial between Asian and white CSHCN in 2009-2010. Asian parents were significantly less likely than white parents to report that their health care provider provided the specific information they needed, helped them feel like a partner in their child's care, and was sensitive to the family's values and customs. The development and testing of specific, targeted policy and practice interventions to reduce disparities in health care quality for these children are urgently needed.

Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes

BACKGROUND

Numerous studies have highlighted the elevated degree of comorbidity associated with autism spectrum disorder (ASD). These comorbid conditions may add further impairments to individuals with autism and are substantially more prevalent compared to neurotypical populations. These high rates of comorbidity are not surprising taking into account the overlap of symptoms that ASD shares with other pathologies. From a research perspective, this suggests common molecular mechanisms involved in these conditions. Therefore, identifying crucial genes in the overlap between ASD and these comorbid disorders may help unravel the common biological processes involved and, ultimately, shed some light in the understanding of autism etiology.

RESULTS

In this work, we used a two-fold systems biology approach specially focused on biological processes and gene networks to conduct a comparative analysis of autism with 31 frequently comorbid disorders in order to define a multi-disorder subcomponent of ASD and predict new genes of potential relevance to ASD etiology. We validated our predictions by determining the significance of our candidate genes in high throughput transcriptome expression profiling studies. Using prior knowledge of disease-related biological processes and the interaction networks of the disorders related to autism, we identified a set of 19 genes not previously linked to ASD that were significantly differentially regulated in individuals with autism. In addition, these genes were of potential etiologic relevance to autism, given their enriched roles in neurological processes crucial for optimal brain development and function, learning and memory, cognition and social behavior.

CONCLUSIONS

Taken together, our approach represents a novel perspective of autism from the point of view of related comorbid disorders and proposes a model by which prior knowledge of interaction networks may enlighten and focus the genome-wide search for autism candidate genes to better define the genetic heterogeneity of ASD.

An Overview of Autism Spectrum Disorder, Heterogeneity and Treatment Options

Since the documented observations of Kanner in 1943, there has been great debate about the diagnoses, the sub-types, and the diagnostic threshold that relates to what is now known as autism spectrum disorder (ASD). Reflecting this complicated history, there has been continual refinement from DSM-III with 'Infantile Autism' to the current DSM-V diagnosis. The disorder is now widely accepted as a complex, pervasive, heterogeneous condition with multiple etiologies, sub-types, and developmental trajectories. Diagnosis remains based on observation of atypical behaviors, with criteria of persistent deficits in social communication and restricted and repetitive patterns of behavior. This review provides a broad overview of the history, prevalence, etiology, clinical presentation, and heterogeneity of ASD. Factors contributing to heterogeneity, including genetic variability, comorbidity, and gender are reviewed. We then explore current evidence-based pharmacological and behavioral treatments for ASD and highlight the complexities of conducting clinical trials that evaluate therapeutic efficacy in ASD populations. Finally, we discuss the potential of a new wave of research examining objective biomarkers to facilitate the evaluation of sub-typing, diagnosis, and treatment response in ASD.

An interaction network of mental disorder proteins in neural stem cells

Mental disorders (MDs) such as intellectual disability (ID), autism spectrum disorders (ASD) and schizophrenia have a strong genetic component. Recently, many gene mutations associated with ID, ASD or schizophrenia have been identified by high-throughput sequencing. A substantial fraction of these mutations are in genes encoding transcriptional regulators. Transcriptional regulators associated with different MDs but acting in the same gene regulatory network provide information on the molecular relation between MDs. Physical interaction between transcriptional regulators is a strong predictor for their cooperation in gene regulation. Here, we biochemically purified transcriptional regulators from neural stem cells, identified their interaction partners by mass spectrometry and assembled a protein interaction network containing 206 proteins, including 68 proteins mutated in MD patients and 52 proteins significantly lacking coding variation in humans. Our network shows molecular connections between established MD proteins and provides a discovery tool for novel MD genes. Network proteins preferentially co-localize on the genome and cooperate in disease-relevant gene regulation. Our results suggest that the observed transcriptional regulators associated with ID, ASD or schizophrenia are part of a transcriptional network in neural stem cells. We find that more severe mutations in network proteins are associated with MDs that include lower intelligence quotient (IQ), suggesting that the level of disruption of a shared transcriptional network correlates with cognitive dysfunction.

The Changing Epidemiology of Autism Spectrum Disorders

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with lifelong impacts. Genetic and environmental factors contribute to ASD etiology, which remains incompletely understood. Research on ASD epidemiology has made significant advances in the past decade. Current prevalence is estimated to be at least 1.5% in developed countries, with recent increases primarily among those without comorbid intellectual disability. Genetic studies have identified a number of rare de novo mutations and gained footing in the areas of polygenic risk, epigenetics, and gene-by-environment interaction. Epidemiologic investigations focused on nongenetic factors have established advanced parental age and preterm birth as ASD risk factors, indicated that prenatal exposure to air pollution and short interpregnancy interval are potential risk factors, and suggested the need for further exploration of certain prenatal nutrients, metabolic conditions, and exposure to endocrine-disrupting chemicals. We discuss future challenges and goals for ASD epidemiology as well as public health implications.

Early-life exposure to EDCs: role in childhood obesity and neurodevelopment

Endocrine-disrupting chemicals (EDCs) might increase the risk of childhood diseases by disrupting hormone-mediated processes that are critical for growth and development during gestation, infancy and childhood. The fetus, infant and child might have enhanced sensitivity to environmental stressors such as EDCs due to their rapid development and increased exposure to some EDCs as a consequence of development-specific behaviour, anatomy and physiology. In this Review, I discuss epidemiological studies examining the relationship between early-life exposure to bisphenol A (BPA), phthalates, triclosan and perfluoroalkyl substances (PFAS) with childhood neurobehavioural disorders and obesity. The available epidemiological evidence suggest that prenatal exposure to several of these ubiquitous EDCs is associated with adverse neurobehaviour (BPA and phthalates) and excess adiposity or increased risk of obesity and/or overweight (PFAS). Quantifying the effects of EDC mixtures, improving EDC exposure assessment, reducing bias from confounding, identifying periods of heightened vulnerability and elucidating the presence and nature of sexually dimorphic EDC effects would enable stronger inferences to be made from epidemiological studies than currently possible. Ultimately, improved estimates of the causal effects of EDC exposures on child health could help identify susceptible subpopulations and lead to public health interventions to reduce these exposures.

Emerging Roles for the Gut Microbiome in Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a serious neurodevelopmental disorder that affects one in 45 children in the United States, with a similarly striking prevalence in countries around the world. However, mechanisms underlying its etiology and manifestations remain poorly understood. Although ASD is diagnosed based on the presence and severity of impaired social communication and repetitive behavior, immune dysregulation and gastrointestinal issues are common comorbidities. The microbiome is an integral part of human physiology; recent studies show that changes in the gut microbiota can modulate gastrointestinal physiology, immune function, and even behavior. Links between particular bacteria from the indigenous gut microbiota and phenotypes relevant to ASD raise the important question of whether microbial dysbiosis plays a role in the development or presentation of ASD symptoms. Here we review reports of microbial dysbiosis in ASD. We further discuss potential effects of the microbiota on ASD-associated symptoms, drawing on signaling mechanisms for reciprocal interactions among the microbiota, immunity, gut function, and behavior. In addition, we discuss recent findings supporting a role for the microbiome as an interface between environmental and genetic risk factors that are associated with ASD. These studies highlight the integration of pathways across multiple body systems that together can impact brain and behavior and suggest that changes in the microbiome may contribute to symptoms of neurodevelopmental disease.

Maternal Immunoreactivity to Herpes Simplex Virus 2 and Risk of Autism Spectrum Disorder in Male Offspring

The cause (or causes) of most cases of autism spectrum disorder is unknown. Evidence from epidemiological studies and work in animal models of neurodevelopmental disorders suggest that both genetic and environmental factors may be implicated. The latter include gestational infection and immune activation. In our cohort, high levels of antibodies to herpes simplex virus 2 at midpregnancy were associated with an elevated risk of autism spectrum disorder in male offspring. These findings provide support for the hypothesis that gestational infection may contribute to the pathogenesis of autism spectrum disorder and have the potential to drive new efforts to monitor women more closely for cryptic gestational infection and to implement suppressive therapy during pregnancy.

Maternal infections during pregnancy are associated with risk of neurodevelopmental disorders, including autism spectrum disorders (ASDs). Proposed pathogenetic mechanisms include fetal infection, placental inflammation, and maternal cytokines or antibodies that cross the placenta. The Autism Birth Cohort comprises mothers, fathers, and offspring recruited in Norway in 1999 to 2008. Through questionnaire screening, referrals, and linkages to a national patient registry, 442 mothers of children with ASD were identified, and 464 frequency-matched controls were selected. Immunoglobulin G (IgG) antibodies to Toxoplasma gondii, rubella virus, cytomegalovirus (CMV), herpes simplex virus 1 (HSV-1), and HSV-2 in plasma collected at midpregnancy and after delivery were measured by multiplexed immunoassays. High levels of HSV-2 IgG antibodies in maternal midpregnancy plasma were associated with increased risk of ASD in male offspring (an increase in HSV-2 IgG levels from 240 to 640 arbitrary units/ml was associated with an odds ratio of 2.07; 95% confidence interval, 1.06 to 4.06; P = 0.03) when adjusted for parity and child’s birth year. No association was found between ASD and the presence of IgG antibodies to Toxoplasma gondii, rubella virus, CMV, or HSV-1. Additional studies are needed to test for replicability of risk and specificity of the sex effect and to examine risk associated with other infections.

IMPORTANCE The cause (or causes) of most cases of autism spectrum disorder is unknown. Evidence from epidemiological studies and work in animal models of neurodevelopmental disorders suggest that both genetic and environmental factors may be implicated. The latter include gestational infection and immune activation. In our cohort, high levels of antibodies to herpes simplex virus 2 at midpregnancy were associated with an elevated risk of autism spectrum disorder in male offspring. These findings provide support for the hypothesis that gestational infection may contribute to the pathogenesis of autism spectrum disorder and have the potential to drive new efforts to monitor women more closely for cryptic gestational infection and to implement suppressive therapy during pregnancy.

Metabolic Dysfunction Underlying Autism Spectrum Disorder and Potential Treatment Approaches

Autism spectrum disorder (ASD) is characterized by deficits in sociability and communication, and increased repetitive and/or restrictive behaviors. While the etio-pathogenesis of ASD is unknown, clinical manifestations are diverse and many possible genetic and environmental factors have been implicated. As such, it has been a great challenge to identify key neurobiological mechanisms and to develop effective treatments. Current therapies focus on co-morbid conditions (such as epileptic seizures and sleep disturbances) and there is no cure for the core symptoms. Recent studies have increasingly implicated mitochondrial dysfunction in ASD. The fact that mitochondria are an integral part of diverse cellular functions and are susceptible to many insults could explain how a wide range of factors can contribute to a consistent behavioral phenotype in ASD. Meanwhile, the high-fat, low-carbohydrate ketogenic diet (KD), used for nearly a century to treat medically intractable epilepsy, has been shown to enhance mitochondrial function through a multiplicity of mechanisms and affect additional molecular targets that may address symptoms and comorbidities of ASD. Here, we review the evidence for the use of metabolism-based therapies such as the KD in the treatment of ASD as well as emerging co-morbid models of epilepsy and autism. Future research directions aimed at validating such therapeutic approaches and identifying additional and novel mechanistic targets are also discussed.

Program experiences of adults with autism, their families, and providers: Findings from a focus group study

A growing number of individuals with autism spectrum disorder are aging into adulthood. In the United States, Medicaid is the primary payer for services for adults with autism spectrum disorder, yet there are few funded programs that provide dedicated supports to this population. This study examined the experiences of adults with autism spectrum disorder in two Medicaid-funded programs in Pennsylvania through focus groups. Researchers conducted 20 focus groups with a total of 36 adults with autism spectrum disorder, 32 family members, 32 direct care staff, and 20 program administrators. Using thematic analysis, we identified three themes: training needs, community engagement and socialization, and employment. There was a need for additional training to meet the varying needs of program participants including co-occurring diagnoses, sexuality, and long-term planning. Adults with autism spectrum disorder prioritized more individualized community activities based on their interests. Finally, barriers to and strategies for successful employment were discussed. It will be crucial for policy makers to utilize the findings to inform program improvement and development based on the experiences of individuals impacted by these services and systems directly. Additionally, researchers should use the findings from this study to design interventions for adults with autism spectrum disorder as it includes their voices.

Psychiatric Co-occurring Symptoms and Disorders in Young, Middle-Aged, and Older Adults with Autism Spectrum Disorder

Although psychiatric problems are less prevalent in old age within the general population, it is largely unknown whether this extends to individuals with autism spectrum disorders (ASD). We examined psychiatric symptoms and disorders in young, middle-aged, and older adults with and without ASD (N_max = 344, age 19–79 years, IQ > 80). Albeit comparable to other psychiatric patients, levels of symptoms and psychological distress were high over the adult lifespan; 79 % met criteria for a psychiatric disorder at least once in their lives. Depression and anxiety were most common. However, older adults less often met criteria for any psychiatric diagnosis and, specifically, social phobia than younger adults. Hence, despite marked psychological distress, psychiatric problems are also less prevalent in older aged individuals with ASD.

Gut Microbiota: A Potential Regulator of Neurodevelopment

During childhood, our brain is exposed to a variety of environmental inputs that can sculpt synaptic connections and neuronal circuits, with subsequent influence on behavior and learning processes. Critical periods of neurodevelopment are windows of opportunity in which the neuronal circuits are extremely plastic and can be easily subjected to remodeling in response to experience. However, the brain is also more susceptible to aberrant stimuli that might lead to altered developmental trajectories. Intriguingly, postnatal brain development is paralleled by the maturation of the gut microbiota: the ecosystem of symbionts populating our gastro-intestinal tract. Recent discoveries have started to unveil an unexpected link between the gut microbiome and neurophysiological processes. Indeed, the commensal bacteria seem to be able to influence host behavioral outcome and neurochemistry through mechanisms which remain poorly understood. Remarkably, the efficacy of the gut flora action appears to be dependent on the timing during postnatal life at which the host gut microbes’ signals reaches the brain, suggesting the fascinating possibility of critical periods for this microbiota-driven shaping of host neuronal functions and behavior. Therefore, to understand the importance of the intestinal ecosystem’s impact on neuronal circuits functions and plasticity during development and the discovery of the involved molecular mechanisms, will pave the way to identify new and, hopefully, powerful microbiota-based therapeutic interventions for the treatment of neurodevelopmental and psychiatric diseases.

Extracerebral Dysfunction in Animal Models of Autism Spectrum Disorder

Genetic factors might be largely responsible for the development of autism spectrum disorder (ASD) that alone or in combination with specific environmental risk factors trigger the pathology. Multiple mutations identified in ASD patients that impair synaptic function in the central nervous system are well studied in animal models. How these mutations might interact with other risk factors is not fully understood though. Additionally, how systems outside of the brain are altered in the context of ASD is an emerging area of research. Extracerebral influences on the physiology could begin in utero and contribute to changes in the brain and in the development of other body systems and further lead to epigenetic changes. Therefore, multiple recent studies have aimed at elucidating the role of gene-environment interactions in ASD. Here we provide an overview on the extracerebral systems that might play an important associative role in ASD and review evidence regarding the potential roles of inflammation, trace metals, metabolism, genetic susceptibility, enteric nervous system function and the microbiota of the gastrointestinal (GI) tract on the development of endophenotypes in animal models of ASD. By influencing environmental conditions, it might be possible to reduce or limit the severity of ASD pathology.