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一种针对神经退行性疾病的临床干预的网络方法。

A network approach to clinical intervention in neurodegenerative diseases.

机构信息

Department of Cellular and Molecular Pharmacology, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, 3333 Green Bay Road, North Chicago, IL 60064-3037, USA.

Department of Cellular and Molecular Pharmacology, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, 3333 Green Bay Road, North Chicago, IL 60064-3037, USA.

出版信息

Trends Mol Med. 2014 Dec;20(12):694-703. doi: 10.1016/j.molmed.2014.10.002. Epub 2014 Oct 30.

Abstract

Network biology has become a powerful tool to dissect the molecular mechanisms triggering neurodegeneration. Recent developments in network biology have led to the discovery of disease-causing genes, diagnostic biomarkers, and therapeutic targets for several neurodegenerative diseases including Alzheimer's, Parkinson's, and Huntington's diseases. Network-based approaches have provided the molecular rationale for the relationship among cancer, diabetes, and neurodegenerative diseases, and have uncovered unexpected links between apparently unrelated diseases. Here, we summarize the recent advances in network biology to untangle the molecular underpinnings giving rise to the most prevalent neurodegenerative diseases. We propose that network analysis provides a feasible and practical tool for identifying biologically meaningful biomarkers and potential therapeutic targets for clinical intervention in neurodegenerative diseases.

摘要

网络生物学已成为剖析引发神经退行性病变的分子机制的有力工具。网络生物学的最新进展已经发现了一些神经退行性疾病(包括阿尔茨海默病、帕金森病和亨廷顿病)的致病基因、诊断生物标志物和治疗靶点。基于网络的方法为癌症、糖尿病和神经退行性疾病之间的关系提供了分子基础,并揭示了明显无关疾病之间的意外联系。在这里,我们总结了网络生物学的最新进展,以理清导致最常见神经退行性疾病的分子基础。我们认为,网络分析为识别有生物学意义的生物标志物和潜在的治疗靶点提供了一种可行且实用的工具,可用于神经退行性疾病的临床干预。

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