1. Emanuele E, Boso M, Brondino N, Pietra S, Barale F, di Nemi SU, Politi P. {{Increased serum levels of high mobility group box 1 protein in patients with autistic disorder}}. {Prog Neuropsychopharmacol Biol Psychiatry} (Mar 16)
BACKGROUND: High mobility group box 1 (HMGB1) is a highly conserved, ubiquitous protein that functions as an activator for inducing the immune response and can be released from neurons after glutamate excitotoxicity. The objective of the present study was to measure serum levels of HMGB1 in patients with autistic disorder and to study their relationship with clinical characteristics. METHODS: We enrolled 22 adult patients with autistic disorder (mean age: 28.1+/-7.7years) and 28 age- and gender-matched healthy controls (mean age: 28.7+/-8.1years). Serum levels of HMGB1 were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: Compared with healthy subjects, serum levels of HMGB1 were significantly higher in patients with autistic disorder (10.8+/-2.6ng/mL versus 5.6+/-2.5ng/mL, respectively, P<0.001). After adjustment for potential confounders, serum HMGB1 levels were independently associated with their domain A scores in the Autism Diagnostic Interview-Revised, which reflects their impairments in social interaction. CONCLUSIONS: These results suggest that HMGB1 levels may be affected in autistic disorder. Increased HMGB1 may be a biological correlate of the impaired reciprocal social interactions in this neurodevelopmental disorder.
2. Fisher PG. {{Early Recognition of Infantile Autism Lewis SR, Van Ferney S. J Pediatr 1960;56:510-12}}. {J Pediatr} (Apr);156(4):555.
3. Msall ME. {{Central nervous system connectivity after extreme prematurity: understanding autistic spectrum disorder}}. {J Pediatr} (Apr);156(4):519-521.
4. Sadakata T, Furuichi T. {{Ca(2+)-dependent activator protein for secretion 2 and autistic-like phenotypes}}. {Neurosci Res} (Mar 16)
Ca(2+)-dependent activator protein for secretion 2 (CAPS2 or CADPS2) regulates dense-core vesicle (DCV) exocytosis. We found that CAPS2 is involved in the secretion of brain-derived neurotrophic factor (BDNF) and neurotrophin-3 (NT-3) and that CAPS2 KO mice not only have deficits in neuronal development and survival but also exhibit abnormal behaviors, including impaired social interaction, hyperactivity, an abnormal sleep-wake rhythm and increased anxiety in unfamiliar environments. Moreover, we identified increased expression of a rare CAPS2 splice variant in autism patients that specifically lacks exon 3 and that is not transported to axons when exogenously expressed in mouse cortical neurons. Moreover, non-synonymous SNPs have been identified in some autistic patients. These results implicate CAPS2 in autism susceptibility. Therefore, CAPS2 KO mice will be a useful animal model in which to study aspects of the neuropathology and behaviors characteristic of neurodevelopmental disorders.
5. Tansey KE, Brookes KJ, Hill MJ, Cochrane LE, Gill M, Skuse D, Correia C, Vincente A, Kent L, Gallagher L, Anney RJ. {{Oxytocin Receptor (OXTR) does not play a major role in the Aetiology of Autism: Genetic and Molecular Studies}}. {Neurosci Lett} (Mar 17)
Oxytocin (OXT) has been hypothesized to play a role in aetiology of autism based on a demonstrated involvement in the regulation of social behaviours. It is postulated that OXT reduces activation of the amygdala, inhibiting social anxiety, indicating a neural mechanism for the effects of OXT in social cognition. Genetic variation at the oxytocin receptor gene (OXTR) has been reported to be associated with autism. We examined 18 SNPs at the OXTR gene for association in three independent autism samples from Ireland, Portugal and the United Kingdom. We investigated cis-acting genetic effects on OXTR expression in lymphocytes and amygdala region of the brain using an allelic expression imbalance (AEI) assay and by investigating the correlation between RNA levels and genotype in the amygdala region. No marker survived multiple correction for association with autism in any sample or in a combined sample (n=436). Results from the AEI assay performed in the lymphoblast cell lines highlighted two SNPs associated with relative allelic abundance in OXTR (rs237897 and rs237895). Two SNPs were found to be effecting cis-acting variation through AEI in the amygdala. One was weakly correlated with total gene expression (rs13316193) and the other was highlighted in the lymphoblast cell lines (rs237895). Data presented here does not support the role of common genetic variation in OXTR in the aetiology of autism spectrum disorders in Caucasian samples.
6. Zeeland AA, McNealy K, Wang AT, Sigman M, Bookheimer SY, Dapretto M. {{No Neural Evidence of Statistical Learning During Exposure to Artificial Languages in Children with Autism Spectrum Disorders}}. {Biol Psychiatry} (Mar 17)
BACKGROUND: Language delay is a hallmark feature of autism spectrum disorders (ASD). The identification of word boundaries in continuous speech is a critical first step in language acquisition that can be accomplished via statistical learning and reliance on speech cues. Importantly, early word segmentation skills have been shown to predict later language development in typically developing (TD) children. METHODS: Here we investigated the neural correlates of online word segmentation in children with and without ASD with a well-established behavioral paradigm previously validated for functional magnetic resonance imaging. Eighteen high-functioning boys with ASD and 18 age- and IQ-matched TD boys underwent functional magnetic resonance imaging while listening to two artificial languages (containing statistical or statistical + prosodic cues to word boundaries) and a random speech stream. RESULTS: Consistent with prior findings, in TD control subjects, activity in fronto-temporal-parietal networks decreased as the number of cues to word boundaries increased. The ASD children, however, did not show this facilitatory effect. Furthermore, statistical contrasts modeling changes in activity over time identified significant learning-related signal increases for both artificial languages in basal ganglia and left temporo-parietal cortex only in TD children. Finally, the level of communicative impairment in ASD children was inversely correlated with signal increases in these same regions during exposure to the artificial languages. CONCLUSIONS: This is the first study to demonstrate significant abnormalities in the neural architecture subserving language-related learning in ASD children and to link the communicative impairments observed in this population to decreased sensitivity to the statistical and speech cues available in the language input.
