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(13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism

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 shuttli...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908130/
https://www.ncbi.nlm.nih.gov/pubmed/27379200
http://dx.doi.org/10.3389/fonc.2016.00135
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author 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.
author_facet 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.
author_sort Shestov, Alexander A.
collection PubMed
description 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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spelling pubmed-49081302016-07-04 (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. Front Oncol Oncology 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. Frontiers Media S.A. 2016-06-15 /pmc/articles/PMC4908130/ /pubmed/27379200 http://dx.doi.org/10.3389/fonc.2016.00135 Text en Copyright © 2016 Shestov, Lee, Nath, Guo, Nelson, Roman, Leeper, Wasik, Blair and Glickson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
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.
(13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism
title (13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism
title_full (13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism
title_fullStr (13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism
title_full_unstemmed (13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism
title_short (13)C MRS and LC–MS Flux Analysis of Tumor Intermediary Metabolism
title_sort (13)c mrs and lc–ms flux analysis of tumor intermediary metabolism
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908130/
https://www.ncbi.nlm.nih.gov/pubmed/27379200
http://dx.doi.org/10.3389/fonc.2016.00135
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