平衡细胞预算:从微生物到癌症的新陈代谢课程

IF 1.9 4区 生物学 Q2 BIOLOGY
B. Vibishan , Mohit Kumar Jolly , Akshit Goyal
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引用次数: 0

摘要

即使在有氧气的情况下,癌细胞也经常倾向于糖酵解代谢而不是氧化磷酸化,这种现象被称为Warburg效应。尽管自发现以来的几十年里取得了重大进展,但对于Warburg效应以及为什么癌细胞表现出对有氧糖酵解的偏好,一个明确的基础尚未建立。在这篇综述中,我们利用已知的正常哺乳动物生理学和微生物溢出代谢中的类似代谢变化,来阐明癌症中的有氧糖酵解是否代表某种形式的细胞代谢优化。从微生物到癌症,我们发现有利于糖酵解的代谢变化有时是由对更快生长的需求驱动的,但生长速度绝不是最佳代谢的普遍目标。相反,在细胞水平上的优化目标往往是多方面的,任何给定的代谢状态都必须在其能量成本和在一系列环境背景下的收益的背景下考虑。为此,我们确定了资源分配的概念框架,作为研究细胞代谢策略的成本效益平衡的潜在测试平台。这样的框架也很容易与动力系统建模相结合,使其成为一个有希望的途径,为从癌症到微生物的细胞为什么选择它们所做的代谢策略这一古老问题提供新的答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Balancing the cellular budget: Lessons in metabolism from microbes to cancer
Cancer cells are often seen to prefer glycolytic metabolism over oxidative phosphorylation even in the presence of oxygen-a phenomenon termed the Warburg effect. Despite significant strides in the decades since its discovery, a clear basis is yet to be established for the Warburg effect and why cancer cells show such a preference for aerobic glycolysis. In this review, we draw on what is known about similar metabolic shifts both in normal mammalian physiology and overflow metabolism in microbes to shed new light on whether aerobic glycolysis in cancer represents some form of optimisation of cellular metabolism. From microbes to cancer, we find that metabolic shifts favouring glycolysis are sometimes driven by the need for faster growth, but the growth rate is by no means a universal goal of optimal metabolism. Instead, optimisation goals at the cellular level are often multi-faceted and any given metabolic state must be considered in the context of both its energetic costs and benefits over a range of environmental contexts. For this purpose, we identify the conceptual framework of resource allocation as a potential testbed for the investigation of the cost–benefit balance of cellular metabolic strategies. Such a framework is also readily integrated with dynamical systems modelling, making it a promising avenue for new answers to the age-old question of why cells, from cancers to microbes, choose the metabolic strategies they do.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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