Iwamoto Kazuya, Kato Tadafumi
Laboratory for Molecular Dynamics of Mental Disorders, Brain Science Institute, RIKEN, Saitama, Japan.
Neuroscientist. 2006 Aug;12(4):349-61. doi: 10.1177/1073858406287536.
The etiology and pathophysiology of schizophrenia and related mental disorders such as bipolar disorder and major depression remain largely unclear. Recent advances in mRNA profiling techniques made it possible to perform genome-wide gene expression analysis in a hypothesis-free manner. It was thought that this large-scale data mining approach would reveal unknown molecular cascades involved in mental disorders. Contrary to this initial expectation, however, DNA microarray results in psychiatric fields have been notoriously discordant. Here the authors review the findings of DNA microarray analysis, focusing on systematic gene expression changes in schizophrenia, as well as alterations in the expression of specific genes, that have been reported and replicated. The authors also address the probable causes for the discordance among studies, possible ways to solve the problem, and their preferred approach for data interpretation.
精神分裂症以及双相情感障碍和重度抑郁症等相关精神障碍的病因和病理生理学在很大程度上仍不明确。mRNA分析技术的最新进展使得以无假设的方式进行全基因组基因表达分析成为可能。人们认为这种大规模数据挖掘方法将揭示与精神障碍相关的未知分子级联反应。然而,与最初的预期相反,精神病学领域的DNA微阵列结果一直存在显著差异。在此,作者回顾了DNA微阵列分析的结果,重点关注精神分裂症中系统性基因表达变化以及已报道和重复验证的特定基因表达改变。作者还探讨了研究结果不一致的可能原因、解决该问题的可能方法以及他们首选的数据解释方法。