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首页> 外文期刊>Proteomics. Clinical applications >Systems biology integration of proteomic data in rodent models of depression reveals involvement of the immune response and glutamatergic signaling
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Systems biology integration of proteomic data in rodent models of depression reveals involvement of the immune response and glutamatergic signaling

机译:系统生物学集成抑郁症啮齿动物模型中的蛋白质组学数据揭示了免疫应答和谷氨酸胶信号传导的参与

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摘要

Purpose The pathophysiological basis of major depression is incompletely understood. Recently, numerous proteomic studies have been performed in rodent models of depression to investigate the molecular underpinnings of depressive‐like behaviours with an unbiased approach. The objective of the study is to integrate the results of these proteomic studies in depression models to shed light on the most relevant molecular pathways involved in the disease. Experimental design Network analysis is performed integrating preexisting proteomic data from rodent models of depression. The IntAct mouse and the HRPD are used as reference protein–protein interaction databases. The functionality analyses of the networks are then performed by testing overrepresented GO biological process terms and pathways. Results Functional enrichment analyses of the networks revealed an association with molecular processes related to depression in humans, such as those involved in the immune response. Pathways impacted by clinically effective antidepressants are modulated, including glutamatergic signaling and neurotrophic responses. Moreover, dysregulations of proteins regulating energy metabolism and circadian rhythms are implicated. The comparison with protein pathways modulated in depressive patients revealed significant overlapping. Conclusions and clinical relevance This systems biology study supports the notion that animal models can contribute to the research into the biology and therapeutics of depression.
机译:目的不完全理解重大抑郁的病理生理学基础。最近,已经在抑郁症的啮齿动物模型中进行了许多蛋白质组学研究,以研究具有无偏见的方法的抑郁型行为的分子下限。该研究的目的是将这些蛋白质组学研究的结果与抑郁模型中的这些蛋白质组学研究结果整合到疾病中最相关的分子途径上脱光。实验设计网络分析从抑郁症的啮齿动物模型集成了预先存在的蛋白质组学数据。完整的小鼠和HRPD用作参考蛋白质蛋白质相互作用数据库。然后通过测试超逗留的GO生物过程术语和途径来执行网络的功能分析。结果网络的功能性富集分析显示与人类抑郁有关的分子过程的关联,例如参与免疫应答的人。调节临床有效抗抑郁药的途径被调节,包括谷氨酸胶信号和神经营养反应。此外,涉及调节能量新陈代谢和昼夜节律的蛋白质的失调。与抑郁症患者调节的蛋白质途径的比较显示出显着重叠。结论和临床关联该系统生物学研究支持动物模型可以促进抑郁症生物学和治疗症的研究的概念。

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