1. Adams JB, Audhya T, McDonough-Means S, Rubin RA, Quig D, Geis E, Gehn E, Loresto M, Mitchell J, Atwood S, Barnhouse S, Lee W. {{Toxicological Status of Children with Autism vs. Neurotypical Children and the Association with Autism Severity}}. {Biol Trace Elem Res};2012 (Nov 29)
This study investigates both the level of toxic metals in children with autism and the possible association of those toxic metals with autism severity. This study involved 55 children with autism ages 5-16 years compared to 44 controls with similar age and gender. The study included measurements of toxic metals in whole blood, red blood cells (RBC), and urine. The autism group had higher levels of lead in RBC (+41 %, p = 0.002) and higher urinary levels of lead (+74 %, p = 0.02), thallium (+77 %, p = 0.0001), tin (+115 %, p = 0.01), and tungsten (+44 %, p = 0.00005). However, the autism group had slightly lower levels of cadmium in whole blood (-19 %, p = 0.003). A stepwise, multiple linear regression analysis found a strong association of levels of toxic metals with variation in the degree of severity of autism for all the severity scales (adjusted R (2) of 0.38-0.47, p < 0.0003). Cadmium (whole blood) and mercury (whole blood and RBC) were the most consistently significant variables. Overall, children with autism have higher average levels of several toxic metals, and levels of several toxic metals are strongly associated with variations in the severity of autism for all three of the autism severity scales investigated.
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2. Dixon G, Clarke C. {{The effect of falsely balanced reporting of the autism-vaccine controversy on vaccine safety perceptions and behavioral intentions}}. {Health Educ Res};2012 (Nov 27)
Controversy surrounding an autism-vaccine link has elicited considerable news media attention. Despite being widely discredited, research suggests that journalists report this controversy by presenting claims both for and against a link in a relatively ‘balanced’ fashion. To investigate how this reporting style influences judgments of vaccine risk, we randomly assigned 320 undergraduate participants to read a news article presenting either claims both for/against an autism-vaccine link, link claims only, no-link claims only or non-health-related information. Participants who read the balanced article were less certain that vaccines are safe, more likely to believe experts were less certain that vaccines are safe and less likely to have their future children vaccinated. Results suggest that balancing conflicting views of the autism-vaccine controversy may lead readers to erroneously infer the state of expert knowledge regarding vaccine safety and negatively impact vaccine intentions.
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3. Keehn B, Muller RA, Townsend J. {{A typical Attentional Networks and the Emergence of Autism}}. {Neurosci Biobehav Rev};2012 (Nov 30)
The sociocommunicative impairments that define autism spectrum disorder (ASD) are not present at birth but emerge gradually over the first two years of life. In typical development, basic attentional processes may provide a critical foundation for sociocommunicative abilities. Therefore early attentional dysfunction in ASD may result in atypical development of social communication. Prior research has demonstrated that persons with ASD exhibit early and lifelong impairments in attention. The primary aim of this paper is to provide a review of the extant research on attention in ASD using a framework of functionally independent attentional networks as conceptualized by Posner and colleagues: the alerting, orienting and executive control networks (Posner and Petersen, 1990; Petersen and Posner, 2012). The neural substrates and typical development of each attentional network is briefly discussed, a review of the ASD attention literature is presented, and a hypothesis is proposed that links aberrant attentional mechanisms, specifically impaired disengagement of attention, with the emergence of core ASD symptoms.
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4. Narcisa V, Discenza M, Vaccari E, Rosen-Sheidley B, Hardan AY, Couchon E. {{Parental Interest in a Genetic Risk Assessment Test for Autism Spectrum Disorders}}. {Clin Pediatr (Phila)};2012 (Nov 27)
To better understand parental opinions regarding the diagnostic process and use of genetic testing to assess risk for autism spectrum disorders (ASDs) in the younger siblings of affected children in the Unites States, we conducted a survey of parents who had at least one child with ASD. A total of 162 surveys were completed anonymously using an Internet-based survey tool. The mean reported time to ASD diagnosis and age at diagnosis were 35.2 months and 56.6 months, respectively. Seventy-two percent of parents felt there was a delay in diagnosis. Most parents indicated they would want to pursue genetic testing if a test were available that could identify risk in a younger sibling (80%). Earlier evaluation/intervention, closer monitoring, and lessened anxiety were reasons cited for testing. Our survey indicates most parents would pursue genetic risk assessment testing in children at high risk for ASD.
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5. Nelson TH, Jung JY, Deluca TF, Hinebaugh BK, St Gabriel KC, Wall DP. {{Autworks: a cross-disease network biology application for Autism and related disorders}}. {BMC Med Genomics};2012 (Nov 28);5(1):56.
ABSTRACT: BACKGROUND: The genetic etiology of autism is heterogeneous. Multiple disorders share genotypic and phenotypic traits with autism. Network based cross-disorder analysis can aid in the understanding and characterization of the molecular pathology of autism, but there are few tools that enable us to conduct cross-disorder analysis and to visualize the results.DescriptionWe have designed Autworks as a web portal to bring together gene interaction and gene-disease association data on autism to enable network construction, visualization, network comparisons with numerous other related neurological conditions and disorders. Users may examine the structure of gene interactions within a set of disorder-associated genes, compare networks of disorder/disease genes with those of other disorders/diseases, and upload their own sets for comparative analysis. CONCLUSIONS: Autworks is a web application that provides an easy-to-use resource for researchers of varied backgrounds to analyze the autism gene network structure within and between disorders. AVAILABILITY: http://autworks.hms.harvard.edu/
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6. Vorstman JA, Anney RJ, Derks EM, Gallagher L, Gill M, de Jonge MV, van Engeland H, Kahn RS, Ophoff RA. {{No evidence that common genetic risk variation is shared between schizophrenia and autism}}. {Am J Med Genet B Neuropsychiatr Genet};2012 (Nov 28)
The similarity between aspects of the clinical presentation of schizophrenia and autism spectrum disorders (ASD) suggests that elements of the biological etiology may also be shared between these two disorders. Recently, an increasing number of rare, mostly structural genetic variants are reported to increase the risk of both schizophrenia and ASD. We hypothesized that given this evidence for a shared genetic background based on rare genetic variants, common risk alleles may also be shared between ASD and schizophrenia. To test this hypothesis, the polygenic score, which summarizes the collective effect of a large number of common risk alleles, was used. We examined whether the polygenic score derived from a schizophrenia case-control dataset, previously reported by Purcell et al., was able to differentiate ASD cases from controls. The results demonstrate that the schizophrenia-derived polygenic score is not different between ASD cases and controls, indicating that there is no important sharing of common risk alleles between the two neuropsychiatric disorders. Possibly, common risk alleles are less important in ASD in comparison to their more prominent role in schizophrenia and bipolar disorders. These findings provide important novel insights into shared and distinct elements of the genetic architecture of autism and schizophrenia. (c) 2012 Wiley Periodicals, Inc.
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7. Waters P, Healy O. {{Investigating the Relationship between Self-Injurious Behavior, Social Deficits, and Cooccurring Behaviors in Children and Adolescents with Autism Spectrum Disorder}}. {Autism Res Treat};2012;2012:156481.
Research suggests that self-injurious behavior (SIB) is related to social deficits and cooccurring problem behaviors in children and adolescents with autism spectrum disorder. A sample of 95 participants with ASD was assessed on presence and frequency of SIB (Behavior Problems Inventory), social deficits (the Matson Evaluation of Social Skills with Youngsters-II) and cooccurring problem behaviors (ASD-Comorbidity-Child version). A model was created and tested to explain the relationship between these variables. Results showed that the model was acceptable in presenting the relationships between these variables. This information could be used to help predict which individuals are at risk of developing further cooccurring behavioral problems and determine risk markers for the development of social deficits.
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8. Zahorodny W, Shenouda J, Howell S, Scotto Rosato N, Peng B, Mehta U. {{Increasing autism prevalence in metropolitan New Jersey}}. {Autism};2012 (Nov 30)
High baseline autism spectrum disorder prevalence estimates in New Jersey led to a follow-up surveillance. The objectives were to determine autism spectrum disorder prevalence in the year 2006 in New Jersey and to identify changes in the prevalence of autism spectrum disorder or in the characteristics of the children with autism spectrum disorder, between 2002 and 2006. The cohorts included 30,570 children, born in 1998 and 28,936 children, born in 1994, residing in Hudson, Union, and Ocean counties, New Jersey. Point prevalence estimates by sex, ethnicity, autism spectrum disorder subtype, and previous autism spectrum disorder diagnosis were determined. For 2006, a total of 533 children with autism spectrum disorder were identified, consistent with prevalence of 17.4 per 1000 (95% confidence interval = 15.9-18.9), indicating a significant increase in the autism spectrum disorder prevalence (p < 0.001), between 2002 (10.6 per 1000) and 2006. The rise in autism spectrum disorder was broad, affecting major demographic groups and subtypes. Boys with autism spectrum disorder outnumbered girls by nearly 5:1. Autism spectrum disorder prevalence was higher among White children than children of other ethnicities. Additional studies are needed to specify the influence of better awareness of autism spectrum disorder prevalence estimates and to identify possible autism spectrum disorder risk factors. More resources are necessary to address the needs of individuals affected by autism spectrum disorder.
