Comparison of kinetic models for analysis of pyruvate-to-lactate exchange by hyperpolarized 13 C NMR.
Comparison of kinetic models for analysis of pyruvate-to-lactate exchange by hyperpolarized 13 C NMR.
复制标题
通过超极化 13 C NMR 分析丙酮酸与乳酸交换的动力学模型的比较。
DOI:
10.1002/nbm.2801
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发表时间:
2012-11
影响因子:
2.9
通讯作者:
Malloy, Craig R.
中科院分区:
文献类型:
--
作者:
Harrison, Crystal;Yang, Chendong;Jindal, Ashish;DeBerardinis, Ralph J.;Hooshyar, M. A.;Merritt, Matthew;Sherry, A. Dean;Malloy, Craig R.
关键词:
The activity of specific enzyme-catalyzed reactions may be detected in vivo by 13C NMR of hyperpolarized (HP) substrates. The signal from HP substrates and products, acquired over time, have been fit to a number of different mathematical models to determine fluxes, but these models have not been critically compared. In this study, two-pool and three-pool first-order models were constructed to measure flux through lactate dehydrogenase in isolated glioblastoma cells by NMR detection of lactate and pyruvate following addition of hyperpolarized [1-13C]pyruvate. Mass spectrometry (MS) was used to independently monitor 13C enrichment in intra- and extracellular lactate. Six models were evaluated using time dependent pyruvate C2 and lactate C1 HP NMR data acquired by use of selective excitation pulses plus 13C enrichment data from intracellular and extracellular lactate measured by MS. A three-pool bi-directional model provided the most accurate description of pyruvate metabolism in these cells. With computed values for the T1 of pyruvate and lactate as well as the effect of pulsing, the initial flux through lactate dehydrogenase (LDH) was well-determined by both the two-pool bidirectional and unidirectional models when only HP data was available. The three-pool model was necessary to fit the combined data from both MS and HP, but the simpler two-pool exchange model was sufficient to determine the 13C lactate concentration when the lactate appearance was measured only by HP.
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影响因子:
5.7
作者:
Bohndiek SE;Kettunen MI;Hu DE;Witney TH;Kennedy BW;Gallagher FA;Brindle KM
通讯作者:
Brindle KM
影响因子:
3.3
作者:
Keshari, Kayvan R.;Kurhanewicz, John;Jeffries, Rex E.;Wilson, David M.;Dewar, Brian J.;Van Criekinge, Mark;Zierhut, Matthew;Vigneron, Daniel B.;Macdonald, Jeffrey M.
通讯作者:
Macdonald, Jeffrey M.
影响因子:
3.3
作者:
Spielman, Daniel M.;Mayer, Dirk;Pfefferbaum, Adolf
通讯作者:
Pfefferbaum, Adolf
影响因子:
3.3
作者:
Chen, Albert P.;Albers, Mark J.;Vigneron, Daniel B.
通讯作者:
Vigneron, Daniel B.
影响因子:
6.3
作者:
MASON, GF;GRUETTER, R;NOVOTNY, EJ
通讯作者:
NOVOTNY, EJ