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一个代谢核心模型阐明了葡萄糖和谷氨酰胺利用的增强,以及谷氨酰胺依赖性乳酸生成的增强如何促进癌细胞生长:瓦伯格效应。

A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect.

作者信息

Damiani Chiara, Colombo Riccardo, Gaglio Daniela, Mastroianni Fabrizia, Pescini Dario, Westerhoff Hans Victor, Mauri Giancarlo, Vanoni Marco, Alberghina Lilia

机构信息

SYSBIO Centre of Systems Biology, Milano, Italy.

Dept of Informatics, Systems and Communication, University Milano-Bicocca, Milano, Italy.

出版信息

PLoS Comput Biol. 2017 Sep 28;13(9):e1005758. doi: 10.1371/journal.pcbi.1005758. eCollection 2017 Sep.

Abstract

Cancer cells share several metabolic traits, including aerobic production of lactate from glucose (Warburg effect), extensive glutamine utilization and impaired mitochondrial electron flow. It is still unclear how these metabolic rearrangements, which may involve different molecular events in different cells, contribute to a selective advantage for cancer cell proliferation. To ascertain which metabolic pathways are used to convert glucose and glutamine to balanced energy and biomass production, we performed systematic constraint-based simulations of a model of human central metabolism. Sampling of the feasible flux space allowed us to obtain a large number of randomly mutated cells simulated at different glutamine and glucose uptake rates. We observed that, in the limited subset of proliferating cells, most displayed fermentation of glucose to lactate in the presence of oxygen. At high utilization rates of glutamine, oxidative utilization of glucose was decreased, while the production of lactate from glutamine was enhanced. This emergent phenotype was observed only when the available carbon exceeded the amount that could be fully oxidized by the available oxygen. Under the latter conditions, standard Flux Balance Analysis indicated that: this metabolic pattern is optimal to maximize biomass and ATP production; it requires the activity of a branched TCA cycle, in which glutamine-dependent reductive carboxylation cooperates to the production of lipids and proteins; it is sustained by a variety of redox-controlled metabolic reactions. In a K-ras transformed cell line we experimentally assessed glutamine-induced metabolic changes. We validated computational results through an extension of Flux Balance Analysis that allows prediction of metabolite variations. Taken together these findings offer new understanding of the logic of the metabolic reprogramming that underlies cancer cell growth.

摘要

癌细胞具有几种代谢特征,包括从葡萄糖进行有氧乳酸生成(瓦伯格效应)、广泛利用谷氨酰胺以及线粒体电子传递受损。目前仍不清楚这些代谢重排(可能在不同细胞中涉及不同分子事件)如何为癌细胞增殖提供选择性优势。为了确定哪些代谢途径用于将葡萄糖和谷氨酰胺转化为平衡的能量和生物量生产,我们对人类中心代谢模型进行了基于系统约束的模拟。对可行通量空间进行采样使我们能够获得大量在不同谷氨酰胺和葡萄糖摄取率下模拟的随机突变细胞。我们观察到,在增殖细胞的有限子集中,大多数细胞在有氧情况下将葡萄糖发酵为乳酸。在谷氨酰胺高利用率时,葡萄糖的氧化利用减少,而谷氨酰胺生成乳酸增加。仅当可用碳超过可用氧能够完全氧化的量时才观察到这种新出现的表型。在后一种条件下,标准通量平衡分析表明:这种代谢模式对于最大化生物量和ATP生产是最优的;它需要一个分支的三羧酸循环的活性,其中谷氨酰胺依赖性还原羧化作用有助于脂质和蛋白质的生成;它由多种氧化还原控制的代谢反应维持。在一个K-ras转化细胞系中,我们通过实验评估了谷氨酰胺诱导的代谢变化。我们通过扩展通量平衡分析(允许预测代谢物变化)验证了计算结果。这些发现共同为癌细胞生长背后的代谢重编程逻辑提供了新的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/453b/5634631/7b78eacd002c/pcbi.1005758.g001.jpg

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