Lactate turnover in rat glioma measured by in vivo nuclear magnetic resonance spectroscopy

Melissa Terpstra, Rolf Gruetter, Wanda B. High, Marlene Mescher, Lance DelaBarre, Hellmut Merkle, Michael Garwood

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Abstract

Elevated tissue lactate concentrations typically found in tumors can be measured by in vivo nuclear magnetic resonance (NMR) spectroscopy. In this study, lactate turnover in rat C6 glioma was determined from in vivo 1H NMR measurements of [3-13C]lactate buildup during steady-state hyperglycemia with [1-13C]glucose. With this tumor model, a narrow range of values was observed for the first-order rate constant that describes lactate efflux, k2 = 0.043 ± 0.007 (n = 12) SD min-1. For individual animals, the standard error in k2 was small (<18%), which indicated that the NMR data fit the kinetic model well. Lactate measurements before and after infusing [1- 13C]glucose showed that the majority of the tumor lactate pool was metabolically active. Signals from 13C-labeled glutamate in tumors were at least 10-fold smaller than the [3-13C]lactate signal, whereas spectra of the contralateral hemispheres revealed the expected labeling of [4- 13C]glutamate, as well as [2-13C] and [3-13C]glutamate, which indicates that label cycled through the tricarboxylic acid cycle in the brain tissue. Lack of significant 13C labeling of glutamate was consistent with low respiratory metabolism in this glioma. It is concluded that lactate in rat C6 glioma is actively turning over and that the kinetics of lactate efflux can be quantified noninvasively by 1H NMR detection of 13C label. This noninvasive NMR approach may offer a valuable tool to help evaluate tumor growth and metabolic responsiveness to therapies.

Original languageEnglish (US)
Pages (from-to)5083-5088
Number of pages6
JournalCancer Research
Volume58
Issue number22
StatePublished - Nov 15 1998

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Glioma
Lactic Acid
Magnetic Resonance Spectroscopy
Glutamic Acid
Neoplasms
Glucose
Citric Acid Cycle
Hyperglycemia
Brain
Growth

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Lactate turnover in rat glioma measured by in vivo nuclear magnetic resonance spectroscopy. / Terpstra, Melissa; Gruetter, Rolf; High, Wanda B.; Mescher, Marlene; DelaBarre, Lance; Merkle, Hellmut; Garwood, Michael.

In: Cancer Research, Vol. 58, No. 22, 15.11.1998, p. 5083-5088.

Research output: Contribution to journalArticle

Terpstra, Melissa ; Gruetter, Rolf ; High, Wanda B. ; Mescher, Marlene ; DelaBarre, Lance ; Merkle, Hellmut ; Garwood, Michael. / Lactate turnover in rat glioma measured by in vivo nuclear magnetic resonance spectroscopy. In: Cancer Research. 1998 ; Vol. 58, No. 22. pp. 5083-5088.
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abstract = "Elevated tissue lactate concentrations typically found in tumors can be measured by in vivo nuclear magnetic resonance (NMR) spectroscopy. In this study, lactate turnover in rat C6 glioma was determined from in vivo 1H NMR measurements of [3-13C]lactate buildup during steady-state hyperglycemia with [1-13C]glucose. With this tumor model, a narrow range of values was observed for the first-order rate constant that describes lactate efflux, k2 = 0.043 ± 0.007 (n = 12) SD min-1. For individual animals, the standard error in k2 was small (<18{\%}), which indicated that the NMR data fit the kinetic model well. Lactate measurements before and after infusing [1- 13C]glucose showed that the majority of the tumor lactate pool was metabolically active. Signals from 13C-labeled glutamate in tumors were at least 10-fold smaller than the [3-13C]lactate signal, whereas spectra of the contralateral hemispheres revealed the expected labeling of [4- 13C]glutamate, as well as [2-13C] and [3-13C]glutamate, which indicates that label cycled through the tricarboxylic acid cycle in the brain tissue. Lack of significant 13C labeling of glutamate was consistent with low respiratory metabolism in this glioma. It is concluded that lactate in rat C6 glioma is actively turning over and that the kinetics of lactate efflux can be quantified noninvasively by 1H NMR detection of 13C label. This noninvasive NMR approach may offer a valuable tool to help evaluate tumor growth and metabolic responsiveness to therapies.",
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