1. Cai J, Ding L, Zhang JS, Xue J, Wang LZ. {{Elevated plasma levels of glutamate in children with autism spectrum disorders}}. {Neuroreport};2016 (Jan 28)
Excitatory neurotransmitter signaling through glutamate receptors modulates cognitive functions such as memory and learning, which are usually impaired in autism spectrum disorders (ASD). The aim of this study was to assess the clinical significance of plasma glutamate levels in ASD. Fifty-one children diagnosed with ASD, 51 typically developing children, and 51 children with intellectual disability matched for sex and age were assessed for plasma glutamate at admission. Plasma levels of glutamate were measured by liquid chromatography-tandem mass spectrometry and the severity of ASD was evaluated using the Childhood Autism Rating Scale Score. We found that the mean plasma glutamate levels were significantly (P<0.0001) higher in children with ASD compared with healthy controls and intellectual disability controls [36.1 (SD: 8.3) vs. 23.4 (4.2) vs. 24.7 (4.6) microM; P<0.001, respectively]. Levels of glutamate increased with increasing severity of ASD as defined by the Childhood Autism Rating Scale score. Receiver operating characteristics to diagnose ASD showed areas under the curve of glutamate of 0.92 [95% confidence interval (CI), 0.87-0.96], which was superior to high-sensitivity C-reactive protein [0.64 (95% CI, 0.55-0.75), P<0.001] and homocysteine (area under the curve, 0.72; 95% CI, 0.64-0.81; P<0.000). In multivariate logistic regression analysis, glutamate was an independent diagnosis indicator of ASD with an adjusted odds ratio of 1.362 (95% CI, 1.164-1.512; P<0.0001). The present study shows that autistic children had higher plasma levels of glutamate and elevated plasma glutamate levels may play an important role in the pathogenesis of autism. Further larger studies are required to support our findings.
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2. Carrington SJ, Uljarevic M, Roberts A, White LJ, Morgan L, Wimpory D, Ramsden C, Leekam SR. {{Knowledge acquisition and research evidence in autism: Researcher and practitioner perspectives and engagement}}. {Res Dev Disabil};2016 (Jan 27);51-52:126-134.
BACKGROUND: Government policy and national practice guidelines have created an increasing need for autism services to adopt an evidence-based practice approach. However, a gap continues to exist between research evidence and its application. This study investigated the difference between autism researchers and practitioners in their methods of acquiring knowledge. METHODS: In a questionnaire study, 261 practitioners and 422 researchers reported on the methods they use and perceive to be beneficial for increasing research access and knowledge. They also reported on their level of engagement with members of the other professional community. RESULTS: Researchers and practitioners reported different methods used to access information. Each group, however, had similar overall priorities regarding access to research information. While researchers endorsed the use of academic journals significantly more often than practitioners, both groups included academic journals in their top three choices. The groups differed in the levels of engagement they reported; researchers indicated they were more engaged with practitioners than vice versa. CONCLUSIONS: Comparison of researcher and practitioner preferences led to several recommendations to improve knowledge sharing and translation, including enhancing access to original research publications, facilitating informal networking opportunities and the development of proposals for the inclusion of practitioners throughout the research process.
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3. Chan KK, To CK. {{Do Individuals with High-Functioning Autism Who Speak a Tone Language Show Intonation Deficits?}}. {J Autism Dev Disord};2016 (Jan 29)
This study investigated whether intonation deficits were observed in 19 Cantonese-speaking adults with high-functioning autism (HFA) when compared to 19 matched neurotypical (NT) controls. This study also investigated the use of sentence-final particles (SFPs) and their relationship with intonation in both groups. Standard deviations (SDs) of the fundamental frequency (F0), the total number and the type of SFPs were calculated based on narrative samples. The HFA group demonstrated significantly higher SD of F0 and a positive correlation between the type of SFPs and SD of F0. Both groups produced a similar total number and type of SFPs. The results supported the universality of atypical intonation in ASD. The relationship between intonation and SFPs could be further explored by focusing on sentences containing SFPs.
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4. Li M, Fallin MD, Riley A, Landa R, Walker SO, Silverstein M, Caruso D, Pearson C, Kiang S, Dahm JL, Hong X, Wang G, Wang MC, Zuckerman B, Wang X. {{The Association of Maternal Obesity and Diabetes With Autism and Other Developmental Disabilities}}. {Pediatrics};2016 (Jan 29)
BACKGROUND: Obesity and diabetes are highly prevalent among pregnant women in the United States. No study has examined the independent and combined effects of maternal prepregnancy obesity and maternal diabetes on the risk of autism spectrum disorder (ASD) in parallel with other developmental disorders (DDs). METHODS: This study is based on 2734 children (including 102 ASD cases), a subset of the Boston Birth Cohort who completed at least 1 postnatal study visit at Boston Medical Center between 1998 and 2014. Child ASD and other DDs were based on physician diagnoses as documented in electronic medical records. Risks of ASD and other DDs were compared among 6 groups defined by maternal prepregnancy obesity and diabetes status by using Cox proportional hazard regression controlling for potential confounders. RESULTS: When examined individually, maternal prepregnancy obesity and pregestational diabetes (PGDM) were each associated with risk of ASD. When examined in combination, only mothers with obesity and PGDM (hazard ratio 3.91, 95% confidence interval 1.76-8.68) and those with obesity and gestational diabetes (hazard ratio 3.04, 95% confidence interval 1.21-7.63) had a significantly increased risk of offspring ASD. Intellectual disabilities (IDs), but not other DDs, showed a similar pattern of increased risk associated with combined obesity and PGDM. This pattern of risk was mostly accounted for by cases with co-occurring ASD and ID. CONCLUSIONS: Maternal prepregnancy obesity and maternal diabetes in combination were associated with increased risk for ASD and ID. ASD with ID may be etiologically distinct from ASD without ID.
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5. Rutherford M, McKenzie K, Johnson T, Catchpole C, O’Hare A, McClure I, Forsyth K, McCartney D, Murray A. {{Gender ratio in a clinical population sample, age of diagnosis and duration of assessment in children and adults with autism spectrum disorder}}. {Autism};2016 (Jan 29)
This article reports on gender ratio, age of diagnosis and the duration of assessment procedures in autism spectrum disorder diagnosis in a national study which included all types of clinical services for children and adults. Findings are reported from a retrospective case note analysis undertaken with a representative sample of 150 Scottish children and adults recently diagnosed with autism spectrum disorder. The study reports key findings that the gender ratio in this consecutively referred cohort is lower than anticipated in some age groups and reduces with increasing age. The gender ratio in children, together with the significant difference in the mean age of referral and diagnosis for girls compared to boys, adds evidence of delayed recognition of autism spectrum disorder in younger girls. There was no significant difference in duration of assessment for males and females suggesting that delays in diagnosis of females occur prior to referral for assessment. Implications for practice and research are considered.
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6. Sealey LA, Hughes BW, Sriskanda AN, Guest JR, Gibson AD, Johnson-Williams L, Pace DG, Bagasra O. {{Environmental factors in the development of autism spectrum disorders}}. {Environ Int};2016 (Jan 27);88:288-298.
Autism spectrum disorders (ASD) are highly heterogeneous developmental conditions characterized by deficits in social interaction, verbal and nonverbal communication, and obsessive/stereotyped patterns of behavior and repetitive movements. Social interaction impairments are the most characteristic deficits in ASD. There is also evidence of impoverished language and empathy, a profound inability to use standard nonverbal behaviors (eye contact, affective expression) to regulate social interactions with others, difficulties in showing empathy, failure to share enjoyment, interests and achievements with others, and a lack of social and emotional reciprocity. In developed countries, it is now reported that 1%-1.5% of children have ASD, and in the US 2015 CDC reports that approximately one in 45 children suffer from ASD. Despite the intense research focus on ASD in the last decade, the underlying etiology remains unknown. Genetic research involving twins and family studies strongly supports a significant contribution of environmental factors in addition to genetic factors in ASD etiology. A comprehensive literature search has implicated several environmental factors associated with the development of ASD. These include pesticides, phthalates, polychlorinated biphenyls, solvents, air pollutants, fragrances, glyphosate and heavy metals, especially aluminum used in vaccines as adjuvant. Importantly, the majority of these toxicants are some of the most common ingredients in cosmetics and herbicides to which almost all of us are regularly exposed to in the form of fragrances, face makeup, cologne, air fresheners, food flavors, detergents, insecticides and herbicides. In this review we describe various scientific data to show the role of environmental factors in ASD.
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7. Slappendel G, Mandy W, van der Ende J, Verhulst FC, van der Sijde A, Duvekot J, Skuse D, Greaves-Lord K. {{Utility of the 3Di Short Version for the Diagnostic Assessment of Autism Spectrum Disorder and Compatibility with DSM-5}}. {J Autism Dev Disord};2016 (Jan 29)
The Developmental Diagnostic Dimensional Interview-short version (3Di-sv) provides a brief standardized parental interview for diagnosing autism spectrum disorder (ASD). This study explored its validity, and compatibility with DSM-5 ASD. 3Di-sv classifications showed good sensitivity but low specificity when compared to ADOS-2-confirmed clinical diagnosis. Confirmatory factor analyses found a better fit against a DSM-5 model than a DSM-IV-TR model of ASD. Exploration of the content validity of the 3Di-sv for the DSM-5 revealed some construct underrepresentation, therefore we obtained data from a panel of 3Di-trained clinicians from ASD-specialized centers to recommend items to fill these gaps. Taken together, the 3Di-sv provides a solid basis to create a similar instrument suitable for DSM-5. Concrete recommendations are provided to improve DSM-5 compatibility.
