In vivo imaging of glucose uptake and metabolism in tumors

Simon Walker-Samuel, Rajiv Ramasawmy, Francisco Torrealdea, Marilena Rega, Vineeth Rajkumar, S Peter Johnson, Simon Richardson, Miguel Gonçalves, Harold G Parkes, Erik Arstad, David L Thomas, R Barbara Pedley, Mark F Lythgoe, Xavier Golay, Simon Walker-Samuel, Rajiv Ramasawmy, Francisco Torrealdea, Marilena Rega, Vineeth Rajkumar, S Peter Johnson, Simon Richardson, Miguel Gonçalves, Harold G Parkes, Erik Arstad, David L Thomas, R Barbara Pedley, Mark F Lythgoe, Xavier Golay

Abstract

Tumors have a greater reliance on anaerobic glycolysis for energy production than normal tissues. We developed a noninvasive method for imaging glucose uptake in vivo that is based on magnetic resonance imaging and allows the uptake of unlabeled glucose to be measured through the chemical exchange of protons between hydroxyl groups and water. This method differs from existing molecular imaging methods because it permits detection of the delivery and uptake of a metabolically active compound in physiological quantities. We show that our technique, named glucose chemical exchange saturation transfer (glucoCEST), is sensitive to tumor glucose accumulation in colorectal tumor models and can distinguish tumor types with differing metabolic characteristics and pathophysiologies. The results of this study suggest that glucoCEST has potential as a useful and cost-effective method for characterizing disease and assessing response to therapy in the clinic.

Figures

Figure 1
Figure 1
a) Schematic diagram illustrating the principles underlying glucoCEST, showing simulated magnetic resonance frequency spectra with a single glucose (hydroxyl group) and water peak (not to scale). Glucose and water pools with full equilibrium magnetisation are irradiated with a narrow bandwidth radiofrequency pulse, centred at the hydroxyl group resonant frequency, which saturates their magnetisation. Protons in hydroxyl groups then exchange with water protons, transferring their magnetisation, and reducing the signal that can be measured. By continuously saturating the signal from water through this exchange process, thereby further reducing the large water signal, glucoCEST provides an amplification process for the glucose signal. b) In a CEST experiment, the water signal is usually measured as a function of saturation pulse frequency, which is known as the z-spectrum. Simulated z-spectra are shown here, with three hydroxyl group resonances, alongside the asymmetric magnetisation transfer ratio (MTRasym, the difference in signal either side of the water peak centred at 0 p.p.m.). Following glucose injection, the concentration of hydroxyl groups resonating at 1.2, 2.1 and 2.9 p.p.m. from water increases, causing an increase in the size of the hydroxyl peaks in the MTRasym spectrum. The glucoCEST enhancement (GCE) is defined as the change in the area under the MTRasym curve from baseline. (Note that, for simplicity, only the effect of glucose and not of metabolic products of glycolysis are shown.)
Figure 2
Figure 2
a) Example glucoCEST image data from four tumors, showing raw, area under the MTRasym images pre- and 60 minutes post-injection of 1.1 mmol kg−1 glucose solution. Images from two types of human colorectal tumor xenograft models with differing vascular and cellular phenotypes (LS174T and SW1222) are shown. Baseline image contrast reflects variations in water content, endogenous exchangeable protons, lipid signal and conventional magnetisation transfer effects. Also displayed are the corresponding glucoCEST enhancement (GCE) images, which show the change in MTRasym at 60 minutes following glucose injection. b) GCE maps from a cross-section through two mouse xenografts (SW1222), with tumour (T) and paraspinal muscle (M) regions highlighted with arrows. The colour scale represents GCE, whilst underlying greyscale images are for anatomical reference; regions subject to motion during the acquisition (e.g. gut) have been removed from glucose images for clarity. Glucose uptake in the tumour is visibly higher than in the muscle. All data were acquired using the GE-CEST sequence.
Figure 3
Figure 3
Tumor glucose uptake measured using glucoCEST (a) and [18F]FDG autoradiography (b) in two human colorectal tumor xenograft models (SW1222 and LS174T). Uptake of both glucose and FDG was significantly different between tumor types (*, P < 0.01, Mann-Whitney). The central bar in panels a and b shows the mean value, the edges of the box represent quartile values, and the whiskers show the upper and lower range. (c) Scatter plot of median tumor [18F]FDG and glucoCEST enhancement, which shows a significant correlation (P < 0.01, Spearman’s rho). (d) Scatter plot of median Gd-DTPA and glucoCEST enhancement, which are not significantly correlated (P > 0.05, Spearman’s rho). All CEST data were acquired using the GE-CEST sequence.
Figure 4
Figure 4
Example glucoCEST, [18F]FDG autoradiography and fluorescence microscopy images, obtained from the same tumor section (two LS174T and two SW1222 human colorectal xenograft models). Fluorescence microscopy images show perfused (blue) and hypoxic regions (green) corresponding to Hoechst 33342 and pimonidazole staining, respectively. All CEST data in this figure were acquired using the GE-CEST sequence.
Figure 5
Figure 5
a) Example 1H decoupled 13C NMR spectra from SW1222 and LS174T tumors that were administered [U-13C]glucose, following the protocol for glucoCEST experiments. Peak assignments are: 1, lactate C2; 2, glutamate C2; 3, glutamine C2; 4, alanine C2; 5, taurine C1; 6, taurine C2; 7, glutamate C4; 8, lactate C3; 9, alanine C3. An expansion of the C1α multiplet is shown, corresponding to doublets from glucose and glucose-6-phosphate, (chemically shifted by 0.13 p.p.m. from the glucose doublet). Fitted Lorentzian peaks are overlaid overlaid. b) Z- and MTRasym spectra from glucose, glucose 6-phosphate, fructose 6-phosphate and fructose 6,1-biphosphate. In vitro, glucose and glucose-6-phosphate display similar CEST effects, whilst fructose-6-phosphate and fructose 6,1-biphosphate show a smaller effect (Supplemental Fig. 4). c) Z- and MTRasym spectra from glucose, lactate, glutamine, glutamate, alanine and taurine. Glucose displays a strong CEST effect from to hydroxyl proton exchange, whilst the amino acids show a CEST effect via amide proton exchange; lactate shows a minimal effect.

References

    1. Ward KM, Balaban RS. Determination of pH using water protons and chemical exchange dependent saturation transfer (CEST) Magn Reson Med. 2000;44:799–802.
    1. Kelloff GJ, et al. Progress and promise of FDG-PET imaging for cancer patient management and oncologic drug development. Clin Cancer Res. 2005;11:2785–2808.
    1. Chan KW, et al. International Society for Magnetic Resonance in Medicine. Montreal: 2011. Imaging of glucose uptake in breast tumors using non-labeled D-glucose.
    1. Walker-Samuel S, Johnson SP, Pedley RB, Lythgoe MF, Golay X. International Society for Magnetic Resonance in Medicine. Montreal: 2011. Assessment of tumour glucose uptake using gluco-CEST.
    1. El Emir E, et al. Predicting response to radioimmunotherapy from the tumor microenvironment of colorectal carcinomas. Cancer research. 2007;67:11896–11905.
    1. Zhou J, Wilson DA, Sun PZ, Klaus JA, Van Zijl PC. Quantitative description of proton exchange processes between water and endogenous and exogenous agents for WEX, CEST, and APT experiments. Magn Reson Med. 2004;51:945–952.
    1. Walker-Samuel S, Peter Johnson S, Pedley B, Lythgoe MF, Golay X. Extracranial measurements of amide proton transfer using exchange-modulated point-resolved spectroscopy (EXPRESS) NMR Biomed. 2011
    1. Walker-Samuel S, Leach MO, Collins DJ. Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis. Physics in medicine and biology. 2006;51:3593–3602.
    1. Ugurbil K, Brown TR, den Hollander JA, Glynn P, Shulman RG. High-resolution 13C nuclear magnetic resonance studies of glucose metabolism in Escherichia coli. Proceedings of the National Academy of Sciences of the United States of America. 1978;75:3742–3746.
    1. Kalderon B, Korman SH, Gutman A, Lapidot A. Estimation of glucose carbon recycling in children with glycogen storage disease: A 13C NMR study using [U-13C]glucose. Proceedings of the National Academy of Sciences of the United States of America. 1989;86:4690–4694.
    1. Kunnecke B, Kustermann E, Seelig J. Simultaneous in vivo monitoring of hepatic glucose and glucose-6-phosphate by (13)C-NMR spectroscopy. Magn Reson Med. 2000;44:556–562.
    1. Hariharan R, et al. Fundamental limitations of [18F]2-deoxy-2-fluoro-D-glucose for assessing myocardial glucose uptake. Circulation. 1995;91:2435–2444.
    1. Hanahan D, Weinberg RA. The hallmarks of cancer. Cell. 2000;100:57–70.
    1. Eary JF, Mankoff DA. Tumor metabolic rates in sarcoma using FDG PET. J Nucl Med. 1998;39:250–254.
    1. Zaidi H. Quantitative Analysis in Nuclear Medicine Imaging. 2005.
    1. Fehr M, Lalonde S, Lager I, Wolff MW, Frommer WB. In vivo imaging of the dynamics of glucose uptake in the cytosol of COS-7 cells by fluorescent nanosensors. J Biol Chem. 2003;278:19127–19133.
    1. John SA, Ottolia M, Weiss JN, Ribalet B. Dynamic modulation of intracellular glucose imaged in single cells using a FRET-based glucose nanosensor. Pflugers Archiv : European journal of physiology. 2008;456:307–322.
    1. Zhou J, Lal B, Wilson DA, Laterra J, van Zijl PC. Amide proton transfer (APT) contrast for imaging of brain tumors. Magn Reson Med. 2003;50:1120–1126.
    1. Zhou J, Payen JF, Wilson DA, Traystman RJ, van Zijl PC. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nature medicine. 2003;9:1085–1090.
    1. Dearling JL, et al. Analysis of the regional uptake of radiolabeled deoxyglucose analogs in human tumor xenografts. J Nucl Med. 2004;45:101–107.
    1. Walker-Samuel S, et al. Improving apparent diffusion coefficient estimates and elucidating tumour heterogeneity using Bayesian adaptive smoothing. Magnetic Resonance in Medicine. 2011;65
    1. Gloor M, Scheffler K, Bieri O. Intrascanner and interscanner variability of magnetization transfer-sensitized balanced steady-state free precession imaging. Magn Reson Med. 2011;65:1112–1117.
    1. Ranjeva JP, Franconi JM, Manelfe C, Berry I. Magnetization transfer with echo planar imaging. MAGMA. 1997;5:259–265.
    1. Tyler DJ, Gowland PA. Rapid quantitation of magnetization transfer using pulsed off-resonance irradiation and echo planar imaging. Magn Reson Med. 2005;53:103–109.
    1. Andrikopoulos S, Blair AR, Deluca N, Fam BC, Proietto J. Evaluating the glucose tolerance test in mice. Am J Physiol Endocrinol Metab. 2008;295:E1323–1332.
    1. Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15:539–553.
    1. Delbeke D, et al. Procedure guideline for tumor imaging with 18F-FDG PET/CT 1.0. J Nucl Med. 2006;47:885–895.
    1. Parker JA, Yester MV, Daube-Witherspoon E, Todd-Pokropek AE, Royal HJ. Procedure guideline for general imaging: 1.0. Society of Nuclear Medicine. J Nucl Med. 1996;37:2087–2092.
    1. Shortt CP, et al. Whole-Body MRI versus PET in assessment of multiple myeloma disease activity. AJR Am J Roentgenol. 2009;192:980–986.
    1. Plathow C, et al. Cost considerations for whole-body MRI and PET/CT as part of oncologic staging. Der Radiologe. 2008;48:384–396.
    1. Antoch G, et al. Whole-body dual-modality PET/CT and whole-body MRI for tumor staging in oncology. JAMA. 2003;290:3199–3206.
    1. Vallabhajosula S. Molecular Imaging: Radiopharmaceuticals for PET and SPECT. Springer; London: 2009.
    1. Workman P, et al. Guidelines for the welfare and use of animals in cancer research. Br J Cancer. 2010;102:1555–1577.
    1. Walker-Samuel S, Johnson SP, Pedley B, Lythgoe MF, Golay X. Extracranial measurements of amide proton transfer using exchange-modulated point-resolved spectroscopy (EXPRESS) NMR Biomed. 2012;25:829–834.
    1. Campbell-Washburn AE, et al. Cardiac arterial spin labeling using segmented ECG-gated Look-Locker FAIR: Variability and repeatability in preclinical studies. Magn Reson Med. 2012
    1. Belle V, et al. In vivo quantitative mapping of cardiac perfusion in rats using a noninvasive MR spin-labeling method. J Magn Reson Imaging. 1998;8:1240–1245.
    1. Campbell AE, et al. Equilibrium contrast CMR for the detection of amyloidosis in mice. Journal of Cardiovascular Magnetic Resonance. 2011;13:O60.
    1. Walker-Samuel S, et al. Non-invasive in vivo imaging of vessel calibre in orthotopic prostate tumour xenografts. International journal of cancer. 2012;130:1284–1293.
    1. Burrell JS, et al. Investigating temporal fluctuations in tumor vasculature with combined carbogen and ultrasmall superparamagnetic iron oxide particle (CUSPIO) imaging. Magn Reson Med. 2011;66:227–234.

Source: PubMed

3
订阅