Application of Metabolomics in Alzheimer's Disease.

Application of Metabolomics in Alzheimer's Disease.
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DOI:
10.3389/fneur.2017.00719
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发表时间:
2017
影响因子:
3.4
通讯作者:
Trushina E
Trushina E
中科院分区:
医学3区
文献类型:
--
作者:
Wilkins JM;Trushina E

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由于缺乏对阿尔茨海默病(AD)早期潜在病理机制的了解,阿尔茨海默病(AD)有效治疗方法的开发进展停滞不前。系统生物学包括基因组学、表观基因组学、转录组学、蛋白质组学和代谢组学等多种技术。代谢组学是最新的组学平台,由于个体的代谢组反映了遗传、转录本和蛋白质谱的变化以及环境的影响,因此为神经退行性疾病的诊断和预后提供了巨大的潜力。代谢组学领域的进展已经证明了与AD进展相关的动态变化的复杂性,突显了有效治疗干预措施的发展面临的挑战。定义AD的系统水平的改变可以提供对疾病机制的洞察,揭示性别特异性的变化,促进生物标志物小组的发展,并有助于监测治疗效果,这将促进个体化药物的应用。由于代谢途径在物种间很大程度上是保守的,代谢组学可以改善在阿尔茨海默病动物模型中进行的临床前研究向人类的转化。以下是代谢组学在促进AD领域应用方面的最新进展摘要。
Progress toward the development of efficacious therapies for Alzheimer’s disease (AD) is halted by a lack of understanding early underlying pathological mechanisms. Systems biology encompasses several techniques including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Metabolomics is the newest omics platform that offers great potential for the diagnosis and prognosis of neurodegenerative diseases as an individual’s metabolome reflects alterations in genetic, transcript, and protein profiles and influences from the environment. Advancements in the field of metabolomics have demonstrated the complexity of dynamic changes associated with AD progression underscoring challenges with the development of efficacious therapeutic interventions. Defining systems-level alterations in AD could provide insights into disease mechanisms, reveal sex-specific changes, advance the development of biomarker panels, and aid in monitoring therapeutic efficacy, which should advance individualized medicine. Since metabolic pathways are largely conserved between species, metabolomics could improve the translation of preclinical research conducted in animal models of AD into humans. A summary of recent developments in the application of metabolomics to advance the AD field is provided below.
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