Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY NPJ Systems Biology and Applications Pub Date : 2024-07-18 DOI:10.1038/s41540-024-00393-x
Jan Ewald, Ziyang He, Wassili Dimitriew, Stefan Schuster
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Abstract

Energy metabolism is crucial for all living cells, especially during fast growth or stress scenarios. Many cancer and activated immune cells (Warburg effect) or yeasts (Crabtree effect) mostly rely on aerobic glucose fermentation leading to lactate or ethanol, respectively, to generate ATP. In recent years, several mathematical models have been proposed to explain the Warburg effect on theoretical grounds. Besides glucose, glutamine is a very important substrate for eukaryotic cells-not only for biosynthesis, but also for energy metabolism. Here, we present a minimal constraint-based stoichiometric model for explaining both the classical Warburg effect and the experimentally observed respirofermentation of glutamine (WarburQ effect). We consider glucose and glutamine respiration as well as the respective fermentation pathways. Our resource allocation model calculates the ATP production rate, taking into account enzyme masses and, therefore, pathway costs. While our calculation predicts glucose fermentation to be a superior energy-generating pathway in human cells, different enzyme characteristics in yeasts reduce this advantage, in some cases to such an extent that glucose respiration is preferred. The latter is observed for the fungal pathogen Candida albicans, which is a known Crabtree-negative yeast. Further, optimization results show that glutamine is a valuable energy source and important substrate under glucose limitation, in addition to its role as a carbon and nitrogen source of biomass in eukaryotic cells. In conclusion, our model provides insights that glutamine is an underestimated fuel for eukaryotic cells during fast growth and infection scenarios and explains well the observed parallel respirofermentation of glucose and glutamine in several cell types.

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将谷氨酰胺纳入癌细胞和酵母细胞能量代谢的资源分配模型。
能量代谢对所有活细胞都至关重要,尤其是在快速生长或压力情况下。许多癌细胞和活化的免疫细胞(沃伯格效应)或酵母菌(克拉布特里效应)大多依靠有氧葡萄糖发酵分别产生乳酸或乙醇来生成 ATP。近年来,人们提出了一些数学模型,从理论上解释沃伯格效应。除了葡萄糖,谷氨酰胺也是真核细胞非常重要的底物--不仅用于生物合成,也用于能量代谢。在此,我们提出了一个基于最小约束的化学计量模型,用于解释经典的沃伯格效应和实验观察到的谷氨酰胺呼吸发酵(WarburQ 效应)。我们考虑了葡萄糖和谷氨酰胺呼吸以及各自的发酵途径。我们的资源分配模型在计算 ATP 生成率时考虑了酶的质量,因此也考虑了途径成本。根据我们的计算,葡萄糖发酵在人体细胞中是一种优越的能量生成途径,而酵母菌中不同的酶特性却削弱了这一优势,在某些情况下,葡萄糖呼吸更受青睐。在真菌病原体白念珠菌中就观察到了这种情况,白念珠菌是一种已知的克拉布特里阴性酵母菌。此外,优化结果表明,谷氨酰胺除了是真核细胞生物量的碳源和氮源外,还是葡萄糖限制条件下的重要能量来源和底物。总之,我们的模型揭示了谷氨酰胺是真核细胞在快速生长和感染情况下被低估的燃料,并很好地解释了在几种细胞类型中观察到的葡萄糖和谷氨酰胺的平行呼吸发酵。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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