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癌症增殖与治疗:瓦伯格效应与量子代谢

Cancer proliferation and therapy: the Warburg effect and quantum metabolism.

作者信息

Demetrius Lloyd A, Coy Johannes F, Tuszynski Jack A

机构信息

Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.

出版信息

Theor Biol Med Model. 2010 Jan 19;7:2. doi: 10.1186/1742-4682-7-2.

Abstract

BACKGROUND

Most cancer cells, in contrast to normal differentiated cells, rely on aerobic glycolysis instead of oxidative phosphorylation to generate metabolic energy, a phenomenon called the Warburg effect.

MODEL

Quantum metabolism is an analytic theory of metabolic regulation which exploits the methodology of quantum mechanics to derive allometric rules relating cellular metabolic rate and cell size. This theory explains differences in the metabolic rates of cells utilizing OxPhos and cells utilizing glycolysis. This article appeals to an analytic relation between metabolic rate and evolutionary entropy - a demographic measure of Darwinian fitness - in order to: (a) provide an evolutionary rationale for the Warburg effect, and (b) propose methods based on entropic principles of natural selection for regulating the incidence of OxPhos and glycolysis in cancer cells.

CONCLUSION

The regulatory interventions proposed on the basis of quantum metabolism have applications in therapeutic strategies to combat cancer. These procedures, based on metabolic regulation, are non-invasive, and complement the standard therapeutic methods involving radiation and chemotherapy.

摘要

背景

与正常分化细胞相比,大多数癌细胞依赖有氧糖酵解而非氧化磷酸化来产生代谢能量,这种现象称为瓦伯格效应。

模型

量子代谢是一种代谢调节分析理论,它利用量子力学方法推导细胞代谢率与细胞大小之间的异速生长规则。该理论解释了利用氧化磷酸化的细胞和利用糖酵解的细胞在代谢率上的差异。本文探讨了代谢率与进化熵(一种衡量达尔文适应性的群体指标)之间的分析关系,以便:(a)为瓦伯格效应提供进化依据,(b)提出基于自然选择熵原理的方法来调节癌细胞中氧化磷酸化和糖酵解的发生率。

结论

基于量子代谢提出的调节干预措施在对抗癌症的治疗策略中有应用。这些基于代谢调节的程序是非侵入性的,并且补充了涉及放疗和化疗的标准治疗方法。

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