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(13)C MRS and LC-MS Flux Analysis of Tumor Intermediary Metabolism.
Shestov, Alexander A; Lee, Seung-Cheol; Nath, Kavindra; Guo, Lili; Nelson, David S; Roman, Jeffrey C; Leeper, Dennis B; Wasik, Mariusz A; Blair, Ian A; Glickson, Jerry D.
Afiliação
  • Shestov AA; Laboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Lee SC; Laboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Nath K; Laboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Guo L; Department of Systems Pharmacology and Translational Therapeutics, Center for Cancer Pharmacology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Nelson DS; Laboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Roman JC; Laboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Leeper DB; Department of Radiation Oncology, Thomas Jefferson University , Philadelphia, PA , USA.
  • Wasik MA; Laboratory Medicine, Department of Pathology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Blair IA; Department of Systems Pharmacology and Translational Therapeutics, Center for Cancer Pharmacology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
  • Glickson JD; Laboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Front Oncol ; 6: 135, 2016.
Article em En | MEDLINE | ID: mdl-27379200
ABSTRACT
We present the first validated metabolic network model for analysis of flux through key pathways of tumor intermediary metabolism, including glycolysis, the oxidative and non-oxidative arms of the pentose pyrophosphate shunt, the TCA cycle as well as its anaplerotic pathways, pyruvate-malate shuttling, glutaminolysis, and fatty acid biosynthesis and oxidation. The model that is called Bonded Cumomer Analysis for application to (13)C magnetic resonance spectroscopy ((13)C MRS) data and Fragmented Cumomer Analysis for mass spectrometric data is a refined and efficient form of isotopomer analysis that can readily be expanded to incorporate glycogen, phospholipid, and other pathways thereby encompassing all the key pathways of tumor intermediary metabolism. Validation was achieved by demonstrating agreement of experimental measurements of the metabolic rates of oxygen consumption, glucose consumption, lactate production, and glutamate pool size with independent measurements of these parameters in cultured human DB-1 melanoma cells. These cumomer models have been applied to studies of DB-1 melanoma and DLCL2 human diffuse large B-cell lymphoma cells in culture and as xenografts in nude mice at 9.4 T. The latter studies demonstrate the potential translation of these methods to in situ studies of human tumor metabolism by MRS with stable (13)C isotopically labeled substrates on instruments operating at high magnetic fields (≥7 T). The melanoma studies indicate that this tumor line obtains 51% of its ATP by mitochondrial metabolism and 49% by glycolytic metabolism under both euglycemic (5 mM glucose) and hyperglycemic conditions (26 mM glucose). While a high level of glutamine uptake is detected corresponding to ~50% of TCA cycle flux under hyperglycemic conditions, and ~100% of TCA cycle flux under euglycemic conditions, glutaminolysis flux and its contributions to ATP synthesis were very small. Studies of human lymphoma cells demonstrated that inhibition of mammalian target of rapamycin (mTOR) signaling produced changes in flux through the glycolytic, pentose shunt, and TCA cycle pathways that were evident within 8 h of treatment and increased at 24 and 48 h. Lactate was demonstrated to be a suitable biomarker of mTOR inhibition that could readily be monitored by (1)H MRS and perhaps also by FDG-PET and hyperpolarized (13)C MRS methods.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos