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数学建模在理解神经退行性变潜在机制中的作用:不断演变的维度与未来方向

The Impact of Mathematical Modeling in Understanding the Mechanisms Underlying Neurodegeneration: Evolving Dimensions and Future Directions.

作者信息

Lloret-Villas A, Varusai T M, Juty N, Laibe C, Le NovÈre N, Hermjakob H, Chelliah V

机构信息

European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

Babraham Institute, Babraham Research Campus, Cambridge, UK.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2017 Feb;6(2):73-86. doi: 10.1002/psp4.12155. Epub 2017 Jan 7.

Abstract

Neurodegenerative diseases are a heterogeneous group of disorders that are characterized by the progressive dysfunction and loss of neurons. Here, we distil and discuss the current state of modeling in the area of neurodegeneration, and objectively compare the gaps between existing clinical knowledge and the mechanistic understanding of the major pathological processes implicated in neurodegenerative disorders. We also discuss new directions in the field of neurodegeneration that hold potential for furthering therapeutic interventions and strategies.

摘要

神经退行性疾病是一组异质性疾病,其特征是神经元进行性功能障碍和丧失。在此,我们提炼并讨论神经退行性变领域当前的建模状态,并客观比较现有临床知识与对神经退行性疾病所涉及的主要病理过程的机制理解之间的差距。我们还讨论了神经退行性变领域中有望推进治疗干预措施和策略的新方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4490/5321808/d547e9b24985/PSP4-6-73-g001.jpg

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