Network Theory and the Resilience of Redox Signaling

J. Hancock, D. Veal, A. Hancock
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Abstract

The redox status inside and around cells is critically important to control, being used to maintain reduced compounds in the correct state and for cell signaling mechanisms. A myriad of compounds and proteins are involved in a vast network system to regulate the redox state of biological systems. These include reactive molecules such reactive oxygen species (ROS), nitric oxide (NO·) and hydrogen sulfide (H2S) along with systems for their removal, such as antioxidants. Redox buffering involves molecules such as glutathione, low molecular weight thiols and ascorbate. Network Theory attempts to give the mechanisms underlying complex networks a mathematical and model-based underpinning and it has been suggested that metabolic systems can be described as scale-free networks, having a power law degree distribution. Such networks are said to be both robust but vulnerable, suggesting a level of resilience. Redox metabolism also has to be robust, being maintained in what has been described as the Goldilocks Zone, while it is also vulnerable to outside influence, often leading to the phenomenon referred to as oxidative stress. Therefore, it is suggested here that a holistic approach to understand redox networks should embrace Network Theory, which may be able to predict characteristics of the redox network that can be targeted for new therapeutics or agricultural treatments.
网络理论与氧化还原信号的弹性
控制细胞内部和周围的氧化还原状态至关重要,用于维持还原化合物的正确状态和细胞信号传导机制。无数的化合物和蛋白质参与了一个巨大的网络系统来调节生物系统的氧化还原状态。这些包括活性分子,如活性氧(ROS)、一氧化氮(NO·)和硫化氢(H2S),以及用于去除它们的系统,如抗氧化剂。氧化还原缓冲涉及诸如谷胱甘肽、低分子量硫醇和抗坏血酸等分子。网络理论试图为复杂网络背后的机制提供一个数学和基于模型的基础,有人认为代谢系统可以被描述为无标度网络,具有幂律度分布。据说,这样的网络既强健又脆弱,表明有一定程度的弹性。氧化还原代谢也必须强健,维持在所谓的“金发姑娘区”,同时它也容易受到外界的影响,经常导致氧化应激现象。因此,本文建议,理解氧化还原网络的整体方法应该包括网络理论,它可能能够预测氧化还原网络的特征,从而可以针对新的治疗方法或农业治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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