Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, PR China.
PLoS One. 2013;8(4):e60598. doi: 10.1371/journal.pone.0060598. Epub 2013 Apr 5.
Although a number of proteins and genes relevant to schizophrenia have been identified in recent years, few are known about the exact metabolic pathway involved in this disease. Our previous proteomic study has revealed the energy metabolism abnormality in subchronic MK-801 treated rat, a well-established animal model for schizophrenia. This prompted us to further investigate metabolite levels in the same rat model to better delineate the metabolism dysfunctions and provide insights into the pathology of schizophrenia.
Metabolomics, a high-throughput investigatory strategy developed in recent years, can offer comprehensive metabolite-level insights that complement protein and genetic findings. In this study, we employed a nondestructive metabolomic approach (1H-MAS-NMR) to investigate the metabolic traits in cortex and hippocampus of MK-801 treated rats. Multivariate statistics and ingenuity pathways analyses (IPA) were applied in data processing. The result was further integrated with our previous proteomic findings by IPA analysis to obtain a systematic view on our observations.
Clear distinctions between the MK-801 treated group and the control group in both cortex and hippocampus were found by OPLS-DA models (with R(2)X = 0.441, Q(2)Y = 0.413 and R(2)X = 0.698, Q(2)Y = 0.677, respectively). The change of a series of metabolites accounted for the separation, such as glutamate, glutamine, citrate and succinate. Most of these metabolites fell in a pathway characterized by down-regulated glutamate synthesis and disturbed Krebs cycle. IPA analysis further confirmed the involvement of energy metabolism abnormality induced by MK-801 treatment.
Our metabolomics findings reveal systematic changes in pathways of glutamate metabolism and Krebs cycle in the MK-801 treated rats' cortex and hippocampus, which confirmed and improved our previous proteomic observation and served as a valuable reference to the etiology research of schizophrenia.
近年来,尽管已经鉴定出了许多与精神分裂症相关的蛋白质和基因,但对于该疾病的确切代谢途径知之甚少。我们之前的蛋白质组学研究揭示了亚慢性 MK-801 处理大鼠的能量代谢异常,这是一种用于研究精神分裂症的成熟动物模型。这促使我们进一步研究同一大鼠模型中的代谢物水平,以更好地描绘代谢功能障碍,并深入了解精神分裂症的病理学。
代谢组学是近年来发展起来的一种高通量研究策略,可以提供全面的代谢物水平信息,补充蛋白质和基因发现。在这项研究中,我们采用了一种非破坏性代谢组学方法(1H-MAS-NMR)来研究 MK-801 处理大鼠的皮质和海马代谢特征。多元统计和 IPA 分析(Ingenuity Pathway Analysis)被应用于数据分析。通过 IPA 分析,将结果与我们之前的蛋白质组学发现进行整合,以获得对我们观察结果的系统认识。
OPLS-DA 模型在皮质和海马中均发现 MK-801 处理组和对照组之间存在明显差异(皮质:R(2)X=0.441,Q(2)Y=0.413;海马:R(2)X=0.698,Q(2)Y=0.677)。一系列代谢物的变化导致了这种分离,如谷氨酸、谷氨酰胺、柠檬酸和琥珀酸。这些代谢物大多数都属于谷氨酸合成下调和三羧酸循环紊乱的特征途径。IPA 分析进一步证实了 MK-801 处理诱导的能量代谢异常的参与。
我们的代谢组学研究结果揭示了 MK-801 处理大鼠皮质和海马中谷氨酸代谢和三羧酸循环途径的系统变化,这证实并改进了我们之前的蛋白质组学观察结果,并为精神分裂症的病因研究提供了有价值的参考。