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50 种氧化应激状态:一种特定状态半胱氨酸氧化还原模式假说。

50 shades of oxidative stress: A state-specific cysteine redox pattern hypothesis.

机构信息

Cysteine redox technology Group, Life Science Innovation Centre, University of the Highlands and Islands, Inverness, IV2 5NA, Scotland, UK.

出版信息

Redox Biol. 2023 Nov;67:102936. doi: 10.1016/j.redox.2023.102936. Epub 2023 Oct 17.

Abstract

Oxidative stress is biochemically complex. Like primary colours, specific reactive oxygen species (ROS) and antioxidant inputs can be mixed to create unique "shades" of oxidative stress. Even a minimal redox module comprised of just 12 (ROS & antioxidant) inputs and 3 outputs (oxidative damage, cysteine-dependent redox-regulation, or both) yields over half a million "shades" of oxidative stress. The present paper proposes the novel hypothesis that: state-specific shades of oxidative stress, such as a discrete disease, are associated with distinct tell-tale cysteine oxidation patterns. The patterns are encoded by many parameters, from the identity of the oxidised proteins, the cysteine oxidation type, and magnitude. The hypothesis is conceptually grounded in distinct ROS and antioxidant inputs coalescing to produce unique cysteine oxidation outputs. And considers the potential biological significance of the holistic cysteine oxidation outputs. The literature supports the existence of state-specific cysteine oxidation patterns. Measuring and manipulating these patterns offer promising avenues for advancing oxidative stress research. The pattern inspired hypothesis provides a framework for understanding the complex biochemical nature of state-specific oxidative stress.

摘要

氧化应激在生物化学上非常复杂。就像原色一样,特定的活性氧(ROS)和抗氧化剂的输入可以混合,以创造独特的“氧化应激色调”。即使是由仅仅 12 个(ROS 和抗氧化剂)输入和 3 个输出(氧化损伤、半胱氨酸依赖的氧化还原调节或两者兼有)组成的最小氧化还原模块,也会产生超过 50 万种“氧化应激色调”。本文提出了一个新的假设:特定状态的氧化应激色调,如特定疾病,与独特的、明显的半胱氨酸氧化模式有关。这些模式由许多参数编码,包括氧化蛋白的身份、半胱氨酸氧化类型和程度。该假设的概念基础是不同的 ROS 和抗氧化剂输入聚合并产生独特的半胱氨酸氧化输出。并考虑了整体半胱氨酸氧化输出的潜在生物学意义。文献支持特定状态下半胱氨酸氧化模式的存在。测量和操纵这些模式为推进氧化应激研究提供了有前途的途径。受模式启发的假设为理解特定状态氧化应激的复杂生化性质提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76ff/10618833/be2555b7d9cc/ga1.jpg

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