Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, Irvine, CA 92697-4260, USA.
Neurobiol Dis. 2012 Jan;45(1):23-36. doi: 10.1016/j.nbd.2011.03.001. Epub 2011 Mar 8.
Gene expression changes in brains of individuals with schizophrenia (SZ) have been hypothesized to reflect possible pathways related to pathophysiology and/or medication. Other factors having robust effects on gene expression profiling in brain and possibly influence the schizophrenia transcriptome such as age and pH are examined. Pathways of curated gene expression or gene correlation networks reported in SZ (white matter, apoptosis, neurogenesis, synaptic plasticity, glutamatergic and GABAergic neurotransmission, immune and stress-response, mitochondrial, and neurodevelopment) are not unique to SZ and have been associated with other psychiatric disorders. Suggestions going forward to improve the next decade of profiling: consider multiple brain regions that are carefully dissected, release large datasets from multiple brain regions in controls to better understand neurocircuitry, integrate genetics and gene expression, measure expression variants on genome wide level, peripheral biomarker studies, and analyze the transcriptome across a developmental series of brains. Gene expression, while an important feature of the genomic landscape, requires further systems biology to advance from control brains to a more precise definition of the schizophrenia interactome.
精神分裂症(SZ)患者大脑中的基因表达变化被假设反映了与病理生理学和/或药物相关的可能途径。还检查了对大脑基因表达谱有强大影响并可能影响精神分裂症转录组的其他因素,如年龄和 pH 值。在 SZ 中报道的经过精心整理的基因表达途径或基因相关网络(白质、细胞凋亡、神经发生、突触可塑性、谷氨酸能和 GABA 能神经传递、免疫和应激反应、线粒体和神经发育)不仅是 SZ 所特有的,而且与其他精神障碍有关。为了改善未来十年的分析,提出了以下建议:考虑对多个大脑区域进行仔细解剖,从多个大脑区域释放大型数据集,以更好地了解神经回路,整合遗传学和基因表达,在全基因组水平上测量表达变体,进行外周生物标志物研究,并在一系列发育中的大脑中分析转录组。基因表达虽然是基因组景观的一个重要特征,但需要进一步的系统生物学来推进从对照大脑到更精确的精神分裂症相互作用组定义。