Shao Ling, Vawter Marquis P
Department of Psychiatry and Human Behavior, Functional Genomics Laboratory, School of Medicine, University of California, Irvine, California 92697-4260, USA.
Biol Psychiatry. 2008 Jul 15;64(2):89-97. doi: 10.1016/j.biopsych.2007.11.010. Epub 2008 Jan 11.
Schizophrenia and bipolar disorder together affect approximately 2.5% of the world population, and their etiologies are thought to involve multiple genetic variants and environmental influences. The analysis of gene expression patterns in brain may provide a characteristic signature for each disorder.
RNA samples from the dorsolateral prefrontal cortex (Brodmann area 46) consisting of individuals with schizophrenia (SZ), bipolar disorder (BPD), and control subjects were tested on the Codelink Human 20K Bioarray platform. Selected transcripts were validated by quantitative real-time polymerase chain reaction (PCR). The strong effects of age, gender, and pH in the analysis of differential gene expression were controlled by analysis of covariance (ANCOVA). Criteria for differential gene expression were 1) a gene was significantly dysregulated in both BPD and SZ compared with control subjects and 2) significant in ANCOVA analysis with samples that have a pH above the median of the sample.
A list of 78 candidate genes passed these two criteria in BPD and SZ and was overrepresented for functional categories of nervous system development, immune system development and response, and cell death. Five dysregulated genes were confirmed with quantitative Q-PCR in both BPD and SZ. Three genes were highly enriched in brain expression (AGXT2L1, SLC1A2, and TU3A). The distribution of AGXT2L1 expression in control subjects versus BPD and SZ was highly significant (Fisher's Exact Test, p < 10(-06)).
These results suggest a partially shared molecular profile for both disorders and offer a window into discovery of common pathophysiology that might lead to core treatments.
精神分裂症和双相情感障碍共同影响着全球约2.5%的人口,其病因被认为涉及多种基因变异和环境影响。对大脑基因表达模式的分析可能为每种疾病提供特征性标志。
在Codelink Human 20K生物芯片平台上对来自精神分裂症(SZ)、双相情感障碍(BPD)患者及对照受试者的背外侧前额叶皮质(布罗德曼46区)的RNA样本进行检测。通过定量实时聚合酶链反应(PCR)对选定的转录本进行验证。在差异基因表达分析中,年龄、性别和pH的强烈影响通过协方差分析(ANCOVA)进行控制。差异基因表达的标准为:1)与对照受试者相比,某基因在BPD和SZ中均显著失调;2)在ANCOVA分析中,对于pH高于样本中位数的样本具有显著性。
有78个候选基因在BPD和SZ中通过了这两个标准,并且在神经系统发育、免疫系统发育和反应以及细胞死亡的功能类别中过度表达。在BPD和SZ中,通过定量Q-PCR确认了5个失调基因。三个基因在大脑表达中高度富集(AGXT2L1、SLC1A2和TU3A)。AGXT2L1在对照受试者与BPD和SZ中的表达分布具有高度显著性(Fisher精确检验,p < 10(-06))。
这些结果表明这两种疾病存在部分共同的分子特征,并为发现可能导致核心治疗方法的共同病理生理学提供了一个窗口。