Benvenuto A, Manzi B, Alessandrelli R, Galasso C, Curatolo P
Pediatric Neurology Unit, Department of Neuroscience, "Tor Vergata" University of Rome, 00133 Rome, Italy.
Int J Pediatr. 2009;2009:198736. doi: 10.1155/2009/198736. Epub 2009 Jun 21.
Background. Current advances in genetic technology continue to expand the list of medical conditions associated with autism. Clinicians have to identify specific autistic-related syndromes, and to provide tailored counseling. The aim of this study is to elucidate recent advances in autism research that offer important clues into pathogenetic mechanisms of syndromic autism and relevant implications for clinical practice. Data Sources. The PubMed database was searched with the keywords "autism" and "chromosomal abnormalities," "metabolic diseases," "susceptibility loci." Results. Defined mutations, genetic syndromes, and metabolic diseases account for up to 20% of autistic patients. Metabolic and mitochondrial defects may have toxic effects on the brain cells, causing neuronal loss and altered modulation of neurotransmission systems. Alterations of the neocortical excitatory/inhibitory balance and perturbations of interneurons' development represent the most probable pathogenetic mechanisms underlying the autistic phenotype in Fragile X-Syndrome and Tuberous Sclerosis Complex. Chromosomal abnormalities and potential candidate genes are strongly implicated in the disruption of neural connections, brain growth, and synaptic/dendritic morphology. Conclusion. Metabolic testing may be appropriate if specific symptoms are present. High-resolution chromosome analysis may be recommended if a specific diagnosis is suspected because of obvious dysmorphisms. Identifying cryptic chromosomal abnormalities by whole genome microarray analysis can increase the understanding of the neurobiological pathways to autism.
背景。基因技术的当前进展不断扩大与自闭症相关的医学病症清单。临床医生必须识别特定的自闭症相关综合征,并提供针对性的咨询。本研究的目的是阐明自闭症研究的最新进展,这些进展为综合征性自闭症的发病机制提供了重要线索以及对临床实践的相关启示。
数据来源。使用关键词“自闭症”和“染色体异常”“代谢疾病”“易感基因座”在PubMed数据库中进行检索。
结果。明确的突变、遗传综合征和代谢疾病占自闭症患者的比例高达20%。代谢和线粒体缺陷可能对脑细胞产生毒性作用,导致神经元丢失和神经传递系统调节改变。新皮质兴奋性/抑制性平衡的改变和中间神经元发育的扰动是脆性X综合征和结节性硬化症中自闭症表型最可能的发病机制。染色体异常和潜在的候选基因与神经连接、脑生长以及突触/树突形态的破坏密切相关。
结论。如果出现特定症状,代谢检测可能是合适的。如果因明显的畸形而怀疑有特定诊断,可能建议进行高分辨率染色体分析。通过全基因组微阵列分析识别隐匿性染色体异常可增进对自闭症神经生物学途径的理解。