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面向基于组学的系统生物医学以及抑郁症-炎症研究的病理与药物发现方法

Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research.

作者信息

Maes Michael, Nowak Gabriel, Caso Javier R, Leza Juan Carlos, Song Cai, Kubera Marta, Klein Hans, Galecki Piotr, Noto Cristiano, Glaab Enrico, Balling Rudi, Berk Michael

机构信息

IMPACT Research Center, Deakin University, Geelong, Australia.

Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

出版信息

Mol Neurobiol. 2016 Jul;53(5):2927-2935. doi: 10.1007/s12035-015-9183-5. Epub 2015 May 2.

Abstract

Meta-analyses confirm that depression is accompanied by signs of inflammation including increased levels of acute phase proteins, e.g., C-reactive protein, and pro-inflammatory cytokines, e.g., interleukin-6. Supporting the translational significance of this, a meta-analysis showed that anti-inflammatory drugs may have antidepressant effects. Here, we argue that inflammation and depression research needs to get onto a new track. Firstly, the choice of inflammatory biomarkers in depression research was often too selective and did not consider the broader pathways. Secondly, although mild inflammatory responses are present in depression, other immune-related pathways cannot be disregarded as new drug targets, e.g., activation of cell-mediated immunity, oxidative and nitrosative stress (O&NS) pathways, autoimmune responses, bacterial translocation, and activation of the toll-like receptor and neuroprogressive pathways. Thirdly, anti-inflammatory treatments are sometimes used without full understanding of their effects on the broader pathways underpinning depression. Since many of the activated immune-inflammatory pathways in depression actually confer protection against an overzealous inflammatory response, targeting these pathways may result in unpredictable and unwanted results. Furthermore, this paper discusses the required improvements in research strategy, i.e., path and drug discovery processes, omics-based techniques, and systems biomedicine methodologies. Firstly, novel methods should be employed to examine the intracellular networks that control and modulate the immune, O&NS and neuroprogressive pathways using omics-based assays, including genomics, transcriptomics, proteomics, metabolomics, epigenomics, immunoproteomics and metagenomics. Secondly, systems biomedicine analyses are essential to unravel the complex interactions between these cellular networks, pathways, and the multifactorial trigger factors and to delineate new drug targets in the cellular networks or pathways. Drug discovery processes should delineate new drugs targeting the intracellular networks and immune-related pathways.

摘要

荟萃分析证实,抑郁症伴有炎症迹象,包括急性期蛋白(如C反应蛋白)水平升高以及促炎细胞因子(如白细胞介素-6)水平升高。一项荟萃分析支持了这一结果的转化意义,该分析表明抗炎药物可能具有抗抑郁作用。在此,我们认为炎症与抑郁症的研究需要走上一条新的道路。首先,抑郁症研究中炎症生物标志物的选择往往过于片面,没有考虑更广泛的途径。其次,虽然抑郁症中存在轻度炎症反应,但其他免疫相关途径作为新的药物靶点也不能被忽视,例如细胞介导免疫的激活、氧化和亚硝化应激(O&NS)途径、自身免疫反应、细菌易位以及Toll样受体和神经进展途径的激活。第三,有时在不完全了解抗炎治疗对抑郁症潜在更广泛途径的影响的情况下就使用这些治疗方法。由于抑郁症中许多激活的免疫炎症途径实际上对过度炎症反应具有保护作用,针对这些途径可能会导致不可预测和不良的结果。此外,本文讨论了研究策略所需的改进,即途径和药物发现过程、基于组学的技术以及系统生物医学方法。首先,应采用新方法,使用基于组学的分析方法,包括基因组学、转录组学、蛋白质组学、代谢组学、表观基因组学、免疫蛋白质组学和宏基因组学,来研究控制和调节免疫、O&NS和神经进展途径的细胞内网络。其次,系统生物医学分析对于揭示这些细胞网络、途径以及多因素触发因素之间的复杂相互作用,并在细胞网络或途径中确定新的药物靶点至关重要。药物发现过程应确定针对细胞内网络和免疫相关途径的新药。

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