脑缺血再灌注的动态网络观。第一部分:背景和绪论。

Donald J Degracia
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引用次数: 17

摘要

在缺血性脑卒中的临床试验中,神经保护剂的普遍失败指出了当前缺血性脑损伤概念中的一个根本盲点,即“缺血性级联”。这是四篇系列论文中的第一篇,其目的是通过应用网络概念开发脑缺血双稳态模型来修订脑缺血的概念。本文为脑缺血双稳态模型的建立奠定了基础。在网络理论的必要背景介绍,从发育生物学的例子,也许令人惊讶的是,可以适应脑缺血,只有轻微的修改。然后,为了向网络模型迈进,我们从大量的经验数据中提取了关于脑缺血的两个核心概括。首先,我们得出结论,脑缺血引起的所有变化可分为导致细胞死亡的损伤机制或有助于细胞存活的应激反应。其次,我们将“缺血量”I的概念形式化,它是一个连续的、非负的、单调递增的量。这两个概括是将脑缺血重新表述为双稳态网络的必要前提。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards a dynamical network view of brain ischemia and reperfusion. Part I: background and preliminaries.

Towards a dynamical network view of brain ischemia and reperfusion. Part I: background and preliminaries.

Towards a dynamical network view of brain ischemia and reperfusion. Part I: background and preliminaries.

Towards a dynamical network view of brain ischemia and reperfusion. Part I: background and preliminaries.

The general failure of neuroprotectants in clinical trials of ischemic stroke points to the possibility of a fundamental blind spot in the current conception of ischemic brain injury, the "ischemic cascade". This is the first in a series of four papers whose purpose is to work towards a revision of the concept of brain ischemia by applying network concepts to develop a bistable model of brain ischemia. This first paper sets the stage for developing the bistable model of brain ischemia. Necessary background in network theory is introduced using examples from developmental biology which, perhaps surprisingly, can be adapted to brain ischemia with only minor modification. Then, to move towards a network model, we extract two core generalizations about brain ischemia from the mass of empirical data. First, we conclude that all changes induced in the brain by ischemia can be classified as either damage mechanisms that contribute to cell death, or stress responses that contribute to cell survival. Second, we move towards formalizing the idea of the "amount of ischemia", I, as a continuous, nonnegative, monotonically increasing quantity. These two generalizations are necessary precursors to reformulating brain ischemia as a bistable network.

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