1. de Bruijn DR, van Dijk AH, Pfundt R, Hoischen A, Merkx GF, Gradek GA, Lybaek H, Stray-Pedersen A, Brunner HG, Houge G. {{Severe Progressive Autism Associated with Two de novo Changes: A 2.6-Mb 2q31.1 Deletion and a Balanced t(14;21)(q21.1;p11.2) Translocation with Long-Range Epigenetic Silencing of LRFN5 Expression}}. {Mol Syndromol} (Feb);1(1):46-57.
In a 19-year-old severely autistic and mentally retarded girl, a balanced de novo t(14;21)(q21.1;p11.2) translocation was found in addition to a de novo 2.6-Mb 2q31.1 deletion containing 15 protein-encoding genes. To investigate if the translocation might contribute to developmental stagnation at the age of 2 years with later regression of skills, i.e. a more severe phenotype than expected from the 2q31.1 deletion, the epigenetic status and expression of genes proximal and distal to the 14q21.1 breakpoint were investigated in Ebstein Barr Virus-transformed lymphoblast and primary skin fibroblast cells. The 14q21.1 breakpoint was found to be located between a cluster of 7 genes 0.1 Mb upstream, starting with FBXO33, and the single and isolated LRFN5 gene 2.1 Mb downstream. Only expression of LRFN5 appeared to be affected by its novel genomic context. In patient fibroblasts, LRFN5 expression was 10-fold reduced compared to LRFN5 expressed in control fibroblasts. In addition, a relative increase in trimethylated histone H3 lysine 9 (H3K9M3)-associated DNA starting exactly at the translocation breakpoint and going 2.5 Mb beyond the LRFN5 gene was found. At the LRFN5 promoter, there was a distinct peak of trimethylated histone H3 lysine 27 (H3K27M3)-associated DNA in addition to a diminished trimethylated histone H3 lysine 4 (H3K4M3) level. We speculate that dysregulation of LRFN5, a postsynaptic density-associated gene, may contribute to the patient’s autism, even though 2 other patients with 14q13.2q21.3 deletions that included LRFN5 were not autistic. More significantly, we have shown that translocations may influence gene expression more than 2 Mb away from the translocation breakpoint.
2. Persico AM. {{Polyomaviruses and autism: more than simple association?}}. {J Neurovirol} (Jul 21)
3. Sheikh AM, Malik M, Wen G, Chauhan A, Chauhan V, Gong CX, Liu F, Brown WT, Li X. {{BDNF-Akt-Bcl2 antiapoptotic signaling pathway is compromised in the brain of autistic subjects}}. {J Neurosci Res} (Sep);88(12):2641-2647.
Although the pathogenesis of autism is not understood, emerging evidence points to apoptotic mechanisms being involved in this disorder. However, it is not known whether apoptosis signaling is deregulated in the brain of autistic subjects. This study investigates how the apoptosis-related proteins are regulated in the autistic brain. Our studies show that Bcl2 is significantly decreased, whereas the expression of p53 is increased, in the brain of autistic subjects in comparison with age-matched controls. We also found that the expression and phosphorylation/activation of Akt kinase that regulates Bcl2 are significantly decreased in the autistic brain. The down-regulation of Akt may result from a decreased concentration of brain-derived neurotrophic factor (BDNF), the growth factor that modulates Akt activities. These results suggest that down-regulation of the BDNF-Akt-Bcl2 antiapoptotic signaling pathway in the autistic brain could be one of the underlying mechanisms responsible for the pathogenesis of autism. (c) 2010 Wiley-Liss, Inc.
4. Tanaka JW, Wolf JM, Klaiman C, Koenig K, Cockburn J, Herlihy L, Brown C, Stahl S, Kaiser MD, Schultz RT. {{Using computerized games to teach face recognition skills to children with autism spectrum disorder: the Let’s Face It! program}}. {J Child Psychol Psychiatry} (Aug);51(8):944-952.
Background: An emerging body of evidence indicates that relative to typically developing children, children with autism are selectively impaired in their ability to recognize facial identity. A critical question is whether face recognition skills can be enhanced through a direct training intervention. Methods: In a randomized clinical trial, children diagnosed with autism spectrum disorder were pre-screened with a battery of subtests (the Let’s Face It! Skills battery) examining face and object processing abilities. Participants who were significantly impaired in their face processing abilities were assigned to either a treatment or a waitlist group. Children in the treatment group (N = 42) received 20 hours of face training with the Let’s Face It! (LFI!) computer-based intervention. The LFI! program is comprised of seven interactive computer games that target the specific face impairments associated with autism, including the recognition of identity across image changes in expression, viewpoint and features, analytic and holistic face processing strategies and attention to information in the eye region. Time 1 and Time 2 performance for the treatment and waitlist groups was assessed with the Let’s Face It! Skills battery. Results: The main finding was that relative to the control group (N = 37), children in the face training group demonstrated reliable improvements in their analytic recognition of mouth features and holistic recognition of a face based on its eyes features. Conclusion: These results indicate that a relatively short-term intervention program can produce measurable improvements in the face recognition skills of children with autism. As a treatment for face processing deficits, the Let’s Face It! program has advantages of being cost-free, adaptable to the specific learning needs of the individual child and suitable for home and school applications.
