Genetic analyses for identifying molecular mechanisms in autism spectrum disorders

Autism spectrum disorders (ASD) are severe neurodevelopmental disorders with marked deficits in social communication, verbal development, and behaviour. The broad phenotype and the clinical heterogeneity point to a polygenic disorder - despite high heritability among siblings. According to recent findings not only do single-rare mutations but also copy number variations and single nucleotide polymorphisms impact the ASD phenotype. Because of the scope of national and international consortia, many linkage and genome-wide association studies have evolved which elucidate candidate and susceptibility genomic regions and genes relevant for ASD. In contrast to polygenic or genetic complex models for autism, a few monogenetic forms of ASD are known to be caused by single gene defects, e.g., fragile-X syndrome. Knock-out animal models of monogenetic autism (e.g. FMRP(-/-)) or neurodegenerative disorders (e.g. MeCP2(-/-)) are often used to analyze the molecular mechanisms underlying ASD. In this review we describe the state of the art of genome analyses in ASD, the most widely used mouse models for polygenic or monogenetic forms of autism and discuss new insights gained from these analyses. The susceptibility genes so far identified seem to be involved in the proper establishment of the synaptic cleft, the secretion of surface proteins, or the overall cellular translation processes. Theses findings suggest that impacting translation-dependent processes like synaptic plasticity or cell-to-cell connectivity may lead to an ASD phenotype.     

Genetic diagnosis of neuroacanthocytosis disorders using exome sequencing

Neuroacanthocytoses are neurodegenerative disorders marked by phenotypic and genetic heterogeneity. There are several associated genetic loci, and many defects, including gene deletions and insertions, and missense, nonsense, and splicing mutations, have been found spread over hundreds of kilobases of genomic DNA. In some cases, specific diagnosis is unclear, particularly in the early stages of disease or when there is an atypical presentation. Determination of the precise genetic defect allows assignment of the diagnosis and permits carrier detection and genetic counseling. The objective of this report was to utilize exome sequencing for genetic diagnosis in the neuroacanthocytosis syndromes. Genomic DNA from 2 patients with clinical features of chorea-acanthocytosis was subjected to targeted exon capture. Captured DNA was subjected to ultrahigh throughput next-generation sequencing. Sequencing data were assembled, filtered against known human variant genetic databases, and results were analyzed. Both patients were compound heterozygotes for mutations in the VPS13A gene, the gene associated with chorea-acanthocytosis. Patient 1 had a 4-bp deletion that removes the 5' donor splice site of exon 58 and a nucleotide substitution that disrupts the 5' donor splice site of exon 70. Patient 2 had a dinucleotide deletion in exon 16 and a dinucleotide insertion in exon 33. No mutations were identified in the XK, PANK2, or JPH3 gene loci. Exome sequencing is a valuable diagnostic tool in the neuroacanthocytosis syndromes. These studies may provide a better understanding of the function of the associated proteins and provide insight into the pathogenesis of these disorders.     

Genetics of autism spectrum disorders

Autism spectrum disorders (ASDs) are a clinically complex group of childhood disorders that have firm evidence of an underlying genetic etiology. Many techniques have been used to characterize the genetic bases of ASDs. Linkage studies have identified several replicated susceptibility loci, including 2q24–2q31, 7q, and 17q11–17q21. Association studies and mutation analysis of candidate genes have implicated the synaptic genes NRXN1, NLGN3, NLGN4, SHANK3, and CNTNAP2 in ASDs. Traditional cytogenetic approaches highlight the high frequency of large chromosomal abnormalities (3%–7% of patients), including the most frequently observed maternal 15q11–13 duplications (1%–3% of patients). Newly developed techniques include high-resolution DNA microarray technologies, which have discovered formerly undetectable submicroscopic copy number variants, and genomewide association studies, which allow simultaneous detection of multiple genes associated with ASDs. Although great progress has been made in autism genetics, the molecular bases of most ASDs remains enigmatic.     

Pharmacotherapy of autism spectrum disorders

Although no pharmacological or behavioral therapy has currently proven effective for treating all core symptoms of autism, many dysfunctional behaviors may be treated pharmacologically. Drug treatments should always be part of a comprehensive management plan that includes behavioral and educational interventions, and should be focused on specific targets. Several classes of psychotropic medications have been used to decrease the wide range of “maladaptive” or “interfering” behaviors and associated medical problems that can interfere with relationships and physical health and hinder the implementation of various non-pharmacological interventions. Atypical neuroleptics have been shown to be useful in the treatment of behavioral symptoms in autism. Attention deficit and hyperactivity disorder medications may be effective for counteracting the additional features of hyperactivity and short attention span. Antiepileptic drugs and selective serotonin reuptake inhibitors have shown promising results, but there are no specific indications for them as of yet. With respect to potential drug targets, some clinical features are caused by a dysfunction in neurochemical signaling systems, and thus may improve with selective pharmacological interventions acting on specific abnormal neurobiological pathways. Recent animal studies can be useful models for understanding the common pathogenic pathways leading to autism spectrum disorders (ASDs), and have the potential to offer new biologically focused treatment options.     

Social-skills treatments for children with autism spectrum disorders: an overview

Marked advances in the treatment of children with autism spectrum disorders (ASDs) has occurred in the past few decades, primarily using applied behavior analysis. However, reviews of trends in social skills treatment for children with ASDs have been scant, despite a robust and growing empirical literature on the topic. In this selective review of 79 treatment studies, the authors note that the research has been particularly marked by fragmented development, using a range of intervention approaches and definitions of the construct. Modeling and reinforcement treatments have been the most popular model from the outset, with most studies conducted in school settings by teachers or psychologists. Investigators have been particularly attentive to issues of generalization and follow-up. However, large-scale group studies and comparisons of different training strategies are almost nonexistent. These trends and their implications for future research aimed at filling gaps in the existing literature are discussed.     

Neurometabolic disorders and dysfunction in autism spectrum disorders

The cause of autism remains largely unknown because it is likely multifactorial, arising from the interaction of biologic, genetic, and environmental factors. The specific role of metabolic abnormalities also is largely unknown, but current research may provide insight into the pathophysiologic underpinnings of autism, at least in some patients. We review a number of known neurometabolic disorders identified as having an autistic phenotype. We also discuss the possible involvement of mitochondrial disorders and dysfunction as well as a theory regarding an increased vulnerability to oxidative stress, by which various environmental toxins produce metabolic alterations that impair normal cellular function. Finally, we review various strategies for metabolic work-up and treatment. Accurate diagnosis of neurometabolic disorders and a broader understanding of underlying metabolic disturbance even in the absence of known disease have important implications both for individual patients and for research into the etiology of autism.     

Mnesic imbalance: a cognitive theory about autism spectrum disorders

Background

Bupropion HCl is a widely used antidepressant that is known to cause seizures in a dose-dependent manner. Many patients taking antidepressants will consume alcohol, even when advised not to. Previous studies have not shown any interactions between bupropion HCl and alcohol. However, there have been no previous studies examining possible changes in seizure threshold induced by a combination of alcohol and bupropion HCl.

Methods

Experimentally naïve female Swiss albino mice (10 per group) received either single doses of bupropion HCl (ranging from 100 mg/kg to 120 mg/kg) or vehicle (0.9% NaCl) by intraperitoneal (IP) injection in a dose volume of 10 ml/kg, and single-dose ethanol alone (2.5 g/kg), or vehicle, 5 min prior to bupropion dosing. The presence or absence of seizures, the number of seizures, the onset, duration and the intensity of seizures were all recorded for 5 h following the administration of ethanol.

Results

The results show that administration of IP bupropion HCl alone induced seizures in mice in a dose-dependent manner, with the 120 mg/kg dose having the largest effect. The percentage of convulsing mice were 0%, 20%, 30% and 60% in the 0 (vehicle), 100, 110, and 120 mg/kg dose groups, respectively. Pretreatment with ethanol produced a larger bupropion HCl-induced convulsive effect at all the doses (70% each at 100, 110 and 120 mg/kg) and a 10% effect in the ethanol + vehicle only group. The convulsive dose of bupropion HCl required to induce seizures in 50% of mice (CD₅₀), was 116.72 mg/kg for bupropion HCl alone (CI: 107.95, 126.20) and 89.40 mg/kg for ethanol/bupropion HCl (CI: 64.92, 123.10).

Conclusion

These results show that in mice alcohol lowers the seizure threshold for bupropion-induced seizures. Clinical implications are firstly that there may be an increased risk of seizures in patients consuming alcohol, and secondly that formulations that can release bupropion more readily in alcohol may present additional risks to patients.     

Melatonin in autism spectrum disorders: a systematic review and meta-analysis

Aim The aim of this study was to investigate melatonin‐related findings in autism spectrum disorders (ASD), including autistic disorder, Asperger syndrome, Rett syndrome, and pervasive developmental disorders, not otherwise specified. Method Comprehensive searches were conducted in the PubMed, Google Scholar, CINAHL, EMBASE, Scopus, and ERIC databases from their inception to October 2010. Two reviewers independently assessed 35 studies that met the inclusion criteria. Of these, meta‐analysis was performed on five randomized double‐blind, placebo‐controlled studies, and the quality of these trials was assessed using the Downs and Black checklist. Results Nine studies measured melatonin or melatonin metabolites in ASD and all reported at least one abnormality, including an abnormal melatonin circadian rhythm in four studies, below average physiological levels of melatonin and/or melatonin derivates in seven studies, and a positive correlation between these levels and autistic behaviors in four studies. Five studies reported gene abnormalities that could contribute to decreased melatonin production or adversely affect melatonin receptor function in a small percentage of children with ASD. Six studies reported improved daytime behavior with melatonin use. Eighteen studies on melatonin treatment in ASD were identified; these studies reported improvements in sleep duration, sleep onset latency, and night‐time awakenings. Five of these studies were randomized double‐blind, placebo‐controlled crossover studies; two of the studies contained blended samples of children with ASD and other developmental disorders, but only data for children with ASD were used in the meta‐analysis. The meta‐analysis found significant improvements with large effect sizes in sleep duration (73min compared with baseline, Hedge’s g 1.97 [95% confidence interval {CI} CI 1.10–2.84], Glass’s Δ 1.54 [95% CI 0.64–2.44]; 44min compared with placebo, Hedge’s g 1.07 [95% CI 0.49–1.65], Glass’s Δ 0.93 [95% CI 0.33–1.53]) and sleep onset latency (66min compared with baseline, Hedge’s g−2.42 [95% CI −1.67 to −3.17], Glass’s Δ−2.18 [95% CI −1.58 to −2.76]; 39min compared with placebo, Hedge’s g−2.46 [95% CI −1.96 to −2.98], Glass’s Δ−1.28 [95% CI −0.67 to −1.89]) but not in night‐time awakenings. The effect size varied significantly across studies but funnel plots did not indicate publication bias. The reported side effects of melatonin were minimal to none. Some studies were affected by limitations, including small sample sizes and variability in the protocols that measured changes in sleep parameters. Interpretation Melatonin administration in ASD is associated with improved sleep parameters, better daytime behavior, and minimal side effects. Additional studies of melatonin would be helpful to confirm and expand on these findings.     

Mitochondrial dysfunction in autism spectrum disorders: a population-based study

A minority of cases of autism has been associated with several different organic conditions, including bioenergetic metabolism deficiency. In a population-based study, we screened associated medical conditions in a group of 120 children with autism (current age range 11y 5mo to 14y 4mo, mean age 12y 11mo [SD 9.6mo], male:female ratio 2.9:1). Children were diagnosed using Diagnostic and Statistical Manual of Mental Disorders criteria, the Autism Diagnostic Interview--Revised, and the Childhood Autism Rating Scale; 76% were diagnosed with typical autism and 24% with atypical autism. Cognitive functional level was assessed with the Griffiths scale and the Wechsler Intelligence Scale for Children and was in the normal range in 17%. Epilepsy was present in 19 patients. Plasma lactate levels were measured in 69 patients, and in 14 we found hyperlactacidemia. Five of 11 patients studied were classified with definite mitochondrial respiratory chain disorder, suggesting that this might be one of the most common disorders associated with autism (5 of 69; 7.2%) and warranting further investigation.     

Brief report: Psychopharmacology of autism spectrum disorders

The purpose of this paper is to review briefly recent findings on the efficacy of psychopharmacological interventions in autism spectrum disorder, point out gaps in our current knowledge of the effects of specific drug classes, and suggest both general and specific research directions for the future. For a more comprehensive review of drug studies in autism, readers are directed toward McDougle, Price, and Volkmar (1994).     

Whole genome/exome sequencing in mood and psychotic disorders

Recent developments in DNA sequencing technologies have allowed for genetic studies using whole genome or exome analysis, and these have been applied in the study of mood and psychotic disorders, including bipolar disorder, depression, schizophrenia, and schizoaffective disorder. In this review, the current situation, recent findings, methodological problems, and future directions of whole genome/exome analysis studies of these disorders are summarized. Whole genome/exome studies of bipolar disorder have included pedigree analysis and case–control studies, demonstrating the role of previously implicated pathways, such as calcium signaling, cyclic adenosine monophosphate response element binding protein (CREB) signaling, and potassium channels. Extensive analysis of trio families and case–control studies showed that de novo mutations play a role in the genetic architecture of schizophrenia and indicated that mutations in several molecular pathways, including chromatin regulation, activity‐regulated cytoskeleton, post‐synaptic density, N‐methyl‐D‐aspartate receptor, and targets of fragile X mental retardation protein, are associated with this disorder. Depression is a heterogeneous group of diseases and studies using exome analysis have been conducted to identify rare mutations causing Mendelian diseases that accompany depression. In the near future, clarification of the genetic architecture of bipolar disorder and schizophrenia is expected. Identification of causative mutations using these new technologies will facilitate neurobiological studies of these disorders.     

The neurobiology of autism spectrum disorders

Data is progressively and robustly accumulating regarding the biological basis of autism. Autism spectrum disorders (ASD) are currently considered a group of neurodevelopmental disorders with onset very early in life and a complex, heterogeneous, multifactorial aetiology. A comprehensive search of the last five years of the Medline database was conducted in order to summarize recent evidence on the neurobiological bases of autism. The main findings on genetic influence, neuropathology, neurostructure and brain networks are summarized. In addition, findings from peripheral samples of subjects with autism and animal models, which show immune, oxidative, mitochondrial dysregulations, are reported. Then, other biomarkers from very different systems associated with autism are reported. Finally, an attempt is made to try and integrate the available evidence, which points to a oligogenetic, multifactorial aetiology that converges in an aberrant micro-organization of the cortex, with abnormal functioning of the synapses and abnormalities in very general physiological pathways (such as inflammatory, immune and redox systems).     

The genetics of autism spectrum disorders

Epidemiological twin studies demonstrate that autism spectrum disorders (ASDs) represent genetic disorders. Subsequent analyses indicate that the causes of ASDs include less common single-gene mutations and chromosomal abnormalities, as well as ASDs caused by multiple interacting genes of weak effect. Genome-wide linkage analysis has identified several susceptibility loci for the ASDs, and positional and functional candidate genes have been identified that appear to represent susceptibility genes for the ASDs. Analysis of additional larger samples and the use of genome-wide association and high-throughput variant detection will lead to the identification of further genes for ASDs.     

Mitochondrial dysfunction in autism spectrum disorders: a systematic review and meta-analysis

A comprehensive literature search was performed to collate evidence of mitochondrial dysfunction in autism spectrum disorders (ASDs) with two primary objectives. First, features of mitochondrial dysfunction in the general population of children with ASD were identified. Second, characteristics of mitochondrial dysfunction in children with ASD and concomitant mitochondrial disease (MD) were compared with published literature of two general populations: ASD children without MD, and non-ASD children with MD. The prevalence of MD in the general population of ASD was 5.0% (95% confidence interval 3.2, 6.9%), much higher than found in the general population (≈ 0.01%). The prevalence of abnormal biomarker values of mitochondrial dysfunction was high in ASD, much higher than the prevalence of MD. Variances and mean values of many mitochondrial biomarkers (lactate, pyruvate, carnitine and ubiquinone) were significantly different between ASD and controls. Some markers correlated with ASD severity. Neuroimaging, in vitro and post-mortem brain studies were consistent with an elevated prevalence of mitochondrial dysfunction in ASD. Taken together, these findings suggest children with ASD have a spectrum of mitochondrial dysfunction of differing severity. Eighteen publications representing a total of 112 children with ASD and MD (ASD/MD) were identified. The prevalence of developmental regression (52%), seizures (41%), motor delay (51%), gastrointestinal abnormalities (74%), female gender (39%), and elevated lactate (78%) and pyruvate (45%) was significantly higher in ASD/MD compared with the general ASD population. The prevalence of many of these abnormalities was similar to the general population of children with MD, suggesting that ASD/MD represents a distinct subgroup of children with MD. Most ASD/MD cases (79%) were not associated with genetic abnormalities, raising the possibility of secondary mitochondrial dysfunction. Treatment studies for ASD/MD were limited, although improvements were noted in some studies with carnitine, co-enzyme Q10 and B-vitamins. Many studies suffered from limitations, including small sample sizes, referral or publication biases, and variability in protocols for selecting children for MD workup, collecting mitochondrial biomarkers and defining MD. Overall, this evidence supports the notion that mitochondrial dysfunction is associated with ASD. Additional studies are needed to further define the role of mitochondrial dysfunction in ASD.