Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, United States.
Adv Microb Physiol. 2018;73:63-76. doi: 10.1016/bs.ampbs.2018.06.003. Epub 2018 Jul 13.
Nitric oxide (NO) is an antimicrobial metabolite produced by immune cells to prohibit infection. Due to its reactivity, NO has numerous reaction routes available to it in biological systems with some leading to cellular damage and others producing innocuous compounds. Pathogens have evolved resistance mechanisms toward NO, and many of these take the form of enzymes that chemically passivate the molecule. In essence, bacteria have channeled NO flux toward useful or harmless compounds, and away from pathways that damage cellular components. Pathogens devoid of detoxification enzymes have been found to have compromised survival in different infection models, which suggests that diverting flux away from NO defenses could be a viable antiinfective strategy. From this perspective, potentiation of NO stress mirrors challenges in metabolic engineering where researchers endeavor to divert flux away from endogenous pathways and toward those that produce desirable biomolecules. In this review, we cast NO stress as a metabolic flux and discuss how the tools and methodologies of metabolic engineering are well suited for analysis of this bacterial stress response. We provide examples of such interdisciplinary applications, discuss the benefits of considering NO stress from a flux perspective, as well as the pitfalls, and offer a vision for how metabolic engineering analyses can assist in deciphering the economics underlying bacterial responses to multistress conditions that are characteristic of the phagosomes of immune cells.
一氧化氮(NO)是免疫细胞产生的一种抗微生物代谢物,用于阻止感染。由于其反应性,NO 在生物系统中有许多可供选择的反应途径,有些会导致细胞损伤,而另一些则会产生无害的化合物。病原体已经进化出针对 NO 的抵抗机制,其中许多机制采取化学钝化分子的酶的形式。从本质上讲,细菌将 NO 通量引导到有用或无害的化合物上,而不是引导到损害细胞成分的途径上。在不同的感染模型中,已经发现缺乏解毒酶的病原体的存活能力受到了损害,这表明将通量从 NO 防御中转移开可能是一种可行的抗感染策略。从这个角度来看,增强 NO 应激反映了代谢工程中的挑战,研究人员努力将通量从内源性途径转移到产生理想生物分子的途径上。在这篇综述中,我们将 NO 应激视为代谢通量,并讨论了代谢工程的工具和方法如何非常适合分析这种细菌应激反应。我们提供了此类跨学科应用的示例,讨论了从通量角度考虑 NO 应激的好处和陷阱,并展望了代谢工程分析如何有助于破译细菌对吞噬细胞中特征性的多应激条件的反应背后的经济学。