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

被引:68
作者
Damiani, Chiara [1 ,2 ]
Colombo, Riccardo [1 ,2 ]
Gaglio, Daniela [1 ,3 ]
Mastroianni, Fabrizia [1 ,4 ]
Pescini, Dario [1 ,5 ]
Westerhoff, Hans Victor [6 ,7 ,8 ]
Mauri, Giancarlo [1 ,2 ]
Vanoni, Marco [1 ,4 ]
Alberghina, Lilia [1 ,4 ]
机构
[1] SYSBIO Ctr Syst Biol, Milan, Italy
[2] Univ Milano Bicocca, Dept Informat Syst & Commun, Milan, Italy
[3] CNR, Inst Mol Bioimaging & Physiol, Milan, Italy
[4] Univ Milano Bicocca, Dept Biotechnol & Biosci, Milan, Italy
[5] Univ Milano Bicocca, Dept Stat & Quantitat Methods, Milan, Italy
[6] Vrije Univ Amsterdam, Fac Earth & Life Sci, Dept Mol Cell Physiol, Amsterdam, Netherlands
[7] Univ Manchester, Manchester Ctr Integrat Syst Biol, Sch Chem Engn & Analyt Sci, Manchester, Lancs, England
[8] Univ Amsterdam, Swammerdam Inst Life Sci, Fac Sci, Amsterdam, Netherlands
基金
欧盟第七框架计划; 英国生物技术与生命科学研究理事会; 欧盟地平线“2020”;
关键词
REDUCTIVE CARBOXYLATION; TCA CYCLE; OXIDATION; NETWORK; FLUX; HETEROGENEITY; REQUIREMENTS; DYSFUNCTION; EXPRESSION; STRATEGIES;
D O I
10.1371/journal.pcbi.1005758
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:29
相关论文
共 74 条
  • [1] AGREN R, 2014, MOL SYST BIOL, V10, DOI DOI 10.1371/JOURNAL.PONE.0004715
  • [2] The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum
    Agren, Rasmus
    Liu, Liming
    Shoaie, Saeed
    Vongsangnak, Wanwipa
    Nookaew, Intawat
    Nielsen, Jens
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2013, 9 (03)
  • [3] Redox control of glutamine utilization in cancer
    Alberghina, L.
    Gaglio, D.
    [J]. CELL DEATH & DISEASE, 2014, 5 : e1561 - e1561
  • [4] Cancer cell growth and survival as a system-level property sustained by enhanced glycolysis and mitochondrial metabolic remodeling
    Alberghina, Lilia
    Gaglio, Daniela
    Gelfi, Cecilia
    Moresco, Rosa M.
    Mauri, Giancarlo
    Bertolazzi, Paola
    Messa, Cristina
    Gilardi, Maria C.
    Chiaradonna, Ferdinando
    Vanoni, Marco
    [J]. FRONTIERS IN PHYSIOLOGY, 2012, 3
  • [5] Network medicine: a network-based approach to human disease
    Barabasi, Albert-Laszlo
    Gulbahce, Natali
    Loscalzo, Joseph
    [J]. NATURE REVIEWS GENETICS, 2011, 12 (01) : 56 - 68
  • [6] Mitochondrial Complex I decrease is responsible for bioenergetic dysfunction in K-ras transformed cells
    Baracca, Alessandra
    Chiaradonna, Ferdinando
    Sgarbi, Gianluca
    Solaini, Giancarlo
    Alberghina, Lilia
    Lenaz, Giorgio
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2010, 1797 (02): : 314 - 323
  • [7] FAME, the Flux Analysis and Modeling Environment
    Boele, Joost
    Olivier, Brett G.
    Teusink, Bas
    [J]. BMC SYSTEMS BIOLOGY, 2012, 6
  • [8] Sampling the Solution Space in Genome-Scale Metabolic Networks Reveals Transcriptional Regulation in Key Enzymes
    Bordel, Sergio
    Agren, Rasmus
    Nielsen, Jens
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2010, 6 (07) : 16
  • [9] LDHA-Associated Lactic Acid Production Blunts Tumor Immunosurveillance by T and NK Cells
    Brand, Almut
    Singer, Katrin
    Koehl, Gudrun E.
    Kolitzus, Marlene
    Schoenhammer, Gabriele
    Thiel, Annette
    Matos, Carina
    Bruss, Christina
    Klobuch, Sebastian
    Peter, Katrin
    Kastenberger, Michael
    Bogdan, Christian
    Schleicher, Ulrike
    Mackensen, Andreas
    Ullrich, Evelyn
    Fichtner-Feigl, Stefan
    Kesselring, Rebecca
    Mack, Matthias
    Ritter, Uwe
    Schmid, Maximilian
    Blank, Christian
    Dettmer, Katja
    Oefner, Peter J.
    Hoffmann, Petra
    Walenta, Stefan
    Geissler, Edward K.
    Pouyssegur, Jacques
    Villunger, Andreas
    Steven, Andre
    Seliger, Barbara
    Schreml, Stephan
    Haferkamp, Sebastian
    Kohl, Elisabeth
    Karrer, Sigrid
    Berneburg, Mark
    Herr, Wolfgang
    Mueller-Klieser, Wolfgang
    Renner, Kathrin
    Kreutz, Marina
    [J]. Cell Metabolism, 2016, 24 (05) : 657 - 671
  • [10] Adaptation of plasma membrane amino acid transport mechanisms to physiological demands
    Bröer, S
    [J]. PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY, 2002, 444 (04): : 457 - 466