Method Article
* Wspomniani autorzy wnieśli do projektu równy wkład.
Dynamic nuclear polarization with subsequent sample dissolution has enabled real-time studies of metabolism in biological systems. Hyperpolarized [1-13C]pyruvate was used to study lactate dehydrogenase activity in a prostate carcinoma cell line in vitro.
In the past decades, new methods for tumor staging, restaging, treatment response monitoring, and recurrence detection of a variety of cancers have emerged in conjunction with the state-of-the-art positron emission tomography with 18F-fluorodeoxyglucose ([18F]-FDG PET). 13C magnetic resonance spectroscopic imaging (13CMRSI) is a minimally invasive imaging method that enables the monitoring of metabolism in vivo and in real time. As with any other method based on 13C nuclear magnetic resonance (NMR), it faces the challenge of low thermal polarization and a subsequent low signal-to-noise ratio due to the relatively low gyromagnetic ratio of 13C and its low natural abundance in biological samples. By overcoming these limitations, dynamic nuclear polarization (DNP) with subsequent sample dissolution has recently enabled commonly used NMR and magnetic resonance imaging (MRI) systems to measure, study, and image key metabolic pathways in various biological systems. A particularly interesting and promising molecule used in 13CMRSI is [1-13C]pyruvate, which, in the last ten years, has been widely used for in vitro, preclinical, and, more recently, clinical studies to investigate the cellular energy metabolism in cancer and other diseases. In this article, we outline the technique of dissolution DNP using a 3.35 T preclinical DNP hyperpolarizer and demonstrate its usage in in vitro studies. A similar protocol for hyperpolarization may be applied for the most part in in vivo studies as well. To do so, we used lactate dehydrogenase (LDH) and catalyzed the metabolic reaction of [1-13C]pyruvate to [1-13C]lactate in a prostate carcinoma cell line, PC3, in vitro using 13CMRSI.
Presently, the most widely used clinical method for tumor staging, restaging, treatment response monitoring, and recurrence detection of a wide variety of cancers is [18F]-FDG PET.1 However, recently, several novel and alternative approaches have emerged. One of those methods is 13CMRSI. This technique involves the introduction of the 13C-molecule into a biological sample, followed by minimally invasive MRI to assess the metabolism in vitro or in vivo in real time. Nevertheless, the biggest challenge of 13CMRSI, compared to the other methods such as [18F]-FDG PET or computed tomography, is its low signal-to-noise ratio.
The NMR signal is directly proportional to the level of polarization, a ratio of the spin ½ nuclei population difference in two energy states to the total population (Figure 1A). The polarization is a product of the gyromagnetic ratio (γ) of the nuclei and the applied magnetic field strength over the temperature. A typical polarization of 1H nuclei is in the order of 0.001% to 0.005% at 3 T, which gives a relatively poor signal-to-noise ratio. Today's state-of-the-art MRI has been a successful imaging method only due to the high abundance of 1H in biological samples and the high gyromagnetic ratio of 1H (γ1H = 42.576 MHz/T). However, observing other nuclei, such as carbon, is more demanding. The only stable, magnetically active carbon isotope, 13C, makes up only 1.1% of all carbon atoms. In addition, the gyromagnetic ratio of 13C (γ13C = 10.705 MHz/T) is four times lower than that of 1H, leading to a lower detection efficiency. In summary, the low 13C abundance and low γ13C cause thermal 13C measurements to achieve 0.0176% of the sensitivity of a 1H-NMR measurement in vivo.
Dynamic Nuclear Polarization
A method to overcome the relatively poor sensitivity of 13C measurements is DNP. It was originally described for metals in 1953 by Albert W. Overhauser. In his article, he stated: "It is shown that if the electron spin resonance of the conduction electrons is saturated, the nuclei will be polarized to the same degree they would be if their gyromagnetic ratio were that of the electron spin."2 Later that year, Carver and Slichter experimentally confirmed Overhauser's hypothesis3. In 1958, Abragam and Proctor described this effect for electrons in liquids and named it the "solid effect." At temperatures below 4 K, electron-spin polarization reaches nearly 100% and is more than three orders of magnitude higher than the nuclear-spin polarization (Figure 1B)4. This occurs because the gyromagnetic ratio of the electron (γe = 28024.944 MHz/T) is three orders of magnitude higher than the nuclear gyromagnetic ratios. The weak interactions between electrons and nuclei, such as the Overhauser effect, the solid effect, the cross effect, and the thermal mixing effect, allow the transfer of polarization from electron spins to nuclear spins using microwave irradiation with a frequency close to the corresponding electron paramagnetic resonance (EPR) frequency5,6. DNP theory has been further developed to involve more electrons and thermal mixing. Nevertheless, to date, no unified quantitative theoretical description of DNP has been published7,8.
Figure 1: Understanding Dynamic Nuclear Polarization and Hyperpolarization. A) A schematic comparison of the spin population in the thermal equilibrium polarization state and the hyperpolarized state. B) The polarization is dependent upon temperature. The polarization of an electron (e-) reaches 100% below 1.4 K. The DNP allows the transfer of the polarization from the e- to the 13C nuclei, which increases their polarization up to 105-fold. Please click here to view a larger version of this figure.
To introduce DNP in studies of biological systems using 13C NMR, subsequent rapid sample dissolution had to be developed. 50 years after Overhauser's hypothesis, Jan H. Ardenkjaer-Larsen et al. solved the technically challenging issue of bringing the hyperpolarized frozen sample into the liquid state with minimal hyperpolarization loss6. Dissolution DNP opened a new field of research called 13CMRSI, providing a new method to investigate and characterize various disease states9,10. As stable carriers of an unpaired electron, a trityl radical tris (8-carboxy-2,2,6,6-tetra-(hydroxyethyl)-benzo-[1,2-4,5]-bis-(1,3)-dithiole-4-yl)-methyl sodium salt (OX063) or (2,2,6,6-Tetramethylpiperidin-1-yl)oxyl (TEMPO) is usually used. These are mixed with the desired 13C-labeled molecule and exposed to microwave irradiation with a frequency close to the corresponding EPR frequency. Using this technique, the polarization of 13C nuclei can be increased up to 37%11. This results in a 105-fold polarization enhancement compared to the thermal equilibrium polarization11,12. However, as soon as the microwave irradiation is stopped and/or the 13C-molecule is transferred to the liquid state, the polarization decays with the longitudinal relaxation time (T1) of the 13C nucleus that was polarized. Thus, the invention of fast dissolution techniques or any subsequent technique shortening the time before experimental measurement (i.e., injection) is crucial for biological applications13.
There are three major requirements that the candidate molecule needs to fulfill for successful 13CMRSI studies. First, the 13C nucleus of interest has to have a sufficiently long T1 (> 10 s). The choice of the 13C-label is crucial. The best candidate nuclei are carbons with no direct contact with 1H-nuclei via a bond. It also needs to be rapidly metabolized within 2 - 3 T1 times, resulting in a downstream metabolic product with a significantly different chemical shift from the original substance. The sample mixture must also form an amorphous glass when in a solid state so that the spatial distribution decreases the distance between the electron and 13C, allowing the transfer of polarization. If the candidate molecule does not form amorphous glass naturally, it needs to be highly soluble in a glassing agent, such as glycerol or dimethyl sulfoxide14. These requirements result in a relatively small number of candidate molecules. However, even after the successful discovery of a suitable molecule, developing a working protocol for hyperpolarization can be technically challenging9,14,15.
In recent years, several substrates have been successfully polarized, such as [1-13C]pyruvate12,16-36, [2-13C]pyruvate37, [1-13C]ethyl pyruvate38, [1-13C]lactate39, [1-13C]fumarate40-43, 13C-bicarbonate36,44,45, [1-13C]sodium acetate43,46-49, 13C-urea6,36,50,51, [5-13C]glutamine15,52,53, [1-13C]glutamate53,54, [1-13C]2-oxoglutarate55, [1-13C]alanine, and others14,56. A particularly interesting and commonly used substrate for hyperpolarization is [1-13C]pyruvate. It is widely used in preclinical studies to investigate the cellular energy-metabolism in various diseases14,17,22. [1-13C]pyruvate meets all the requirements for successful hyperpolarization, including a relatively long T1 and rapid transport across the cell membrane before subsequently being metabolized. Preclinical studies with [1-13C]pyruvate are currently being translated into the clinic57.
Metabolism of Pyruvate
It is well known that there is a direct link between mutations in a cancer cells' DNA and changes in their metabolic pathways. Already in the 1920s, Otto Warburg discovered that there is an increased metabolism of glucose and production of lactate in tumors compared to healthy tissue58-60. Subsequently, various alternations in other metabolic pathways, such as the pentose-phosphate pathway, the tricarboxylic acid cycle, oxidative phosphorylation, and the synthesis of nucleotides and lipids, have been described.
Pyruvate is the final product of glycolysis. In the tumor, it undergoes anaerobic glycolysis catalyzed by LDH61 and reacts with the reduced form of the coenzyme nicotinamide adenine dinucleotide (NADH), resulting in lactate and the oxidized form of the coenzyme (NAD+). Alternatively, pyruvate undergoes a transamination reaction with glutamate to form alanine, catalyzed by alanine transaminase (ALT). Both reactions are readily reversible. Pyruvate also undergoes decarboxylation catalyzed by pyruvate dehydrogenase (PDH) to carbon dioxide and acetyl-CoA, representing an irreversible reaction at this step. Alternations in these reaction rates can be linked to tumor metabolism17,21,22,25,62. The metabolic pathways are summarized in Figure 2.
Figure 2: Diagram of the major metabolic reaction of pyruvate. Pyruvate/lactate conversion is catalyzed by LDH, and pyruvate/alanine conversion is catalyzed by ALT. Pyruvate is irreversibly converted to acetyl-CoA and CO2 by PDH, and CO2 is in a pH-dependent equilibrium with bicarbonate80. Please click here to view a larger version of this figure.
The detection of hyperpolarized [1-13C]pyruvate and its metabolites has been previously demonstrated in the rat heart37,63-65, liver66, muscle, and kidney62,67. One study demonstrated significant differences in the lactate-to-alanine ratio between the normal and fasted rat liver66 and demonstrated a highly elevated and hyperpolarized [1-13C]lactate level in liver cancer68,69. There is evidence that the tumor grade can be identified in a transgenic adenocarcinoma of mouse prostate (TRAMP) using hyperpolarized [1-13C]pyruvate22, with the hyperpolarized lactate levels showing a high correlation with the histological grade of the excised tumors. The alanine catalyzed from pyruvate by ALT has also been suggested as a useful marker in rat hepatocellular carcinoma23.
Measuring the pyruvate-lactate metabolic flux has been used for monitoring ischemia63,65,70 and as a response to treatment with cytotoxic chemotherapy17,40, targeted drugs24,25,41, or radiotherapy26 in animal models. It has also been used for the detection of the phosphatidylinositol 3-kinase (PI3K) inhibitor LY294002 response in glioblastoma and breast cancer mouse models25. Changes in pyruvate metabolism in brain tumors26 and prostate cancer24,71 have also been observed after treatment.
Prostate Carcinoma
Prostate carcinoma is the predominant cancer in elderly men and the second leading cancer related to death in men worldwide72. To date, no reliable, non-invasive methods are available for an early diagnosis and characterization of prostate cancer73,74, emphasizing the urgent need for novel metabolic imaging techniques to enable stringent detection and staging of patients. Prostate carcinoma was used as a model to demonstrate the possibilities of dissolution DNP combined with 13CMRSI in patients57. This work was continued in a first clinical trial employing [1-13C]pyruvate and 13CMRSI for the imaging of prostate cancer, and it has just recently has been completed (NCT01229618).
The motivation behind this work was to illustrate in more detail and for a wider audience the application of the 13CMRSI method in a preclinical setting with cells. Measuring the LDH-catalyzed metabolism of [1-13C]pyruvate to [1-13C]lactate in vitro in the PC3 prostate carcinoma cell line, we demonstrate the possible application of dissolution DNP in in vitro studies and address the crucial steps and challenges during experiments.
1. Sample Stock Solution Preparation
2. Growing the Cell Culture
3. Preparation of the Cells for the Experiment
4. Dissolution Agent Preparation
NOTE: The dissolution agent is a liquid that is used to dissolve the hyperpolarized sample. In biological applications, dissolution is usually performed with H2O-based or deuterium oxide (D2O)-based buffers, such as PBS or tris(hydroxymethyl)aminomethane (Tris), containing 1 g/L ethylenediaminetetraacetic acid (EDTA).
5. Variable Temperature Insert (VTI) Cooldown
6. Sample Preparation and Insertion
7. Microwave Sweep (optional)
NOTE: A microwave sweep allows the determination of the optimal microwave frequency to maximize the hyperpolarization rate of the 13C nuclei in the target compound.
8. Polarization
9. Dissolution
10. Detection of the 13C Hyperpolarized Signal
11. Data Reconstruction
Note: The effective lactate signal decay rate rLAC is dependent upon the lactate longitudinal relaxation time (T1,LAC), the opposite metabolic exchange rate from lactate to pyruvate kLAC→PA, the applied FA and TR, and the signal intensity of pyruvate (MPA) and lactate (MLAC), taking into account the irreversible signal reduction after each successive excitation:
Therefore, rLAC results in a single, inseparable term of signal decay. Since it is possible to correct for the flip angle and the repetition time, and even though there is a flux LAC→PA, we assume that the exchange rate from lactate to pyruvate (kLAC→PA) does not need to be included in the calculation, based on the results of Harrison et al. 201278. Their results show that the kLAC→PA does not play as crucial a role as one would assume. This mode allows the T1 relaxation time of lactate to be quantified. This model is independent of pyruvate administration to the measurement, which, in the case of in vitro experiments, is not crucial and can be neglected. It does, however, play an important role for in vivo measurements79.
The results of the “microwave sweep” are illustrated in Figure 3. It shows that the optimal microwave frequency for the [1-13C]pyruvate sample is at 94.156 GHz for the local 3.35-T hyperpolarizer. All following hyperpolarization experiment (n = 14) were performed using this microwave frequency with a power of 100 mW. The microwave irradiation was applied for 60 to 80 min, leading to a solid-state hyperpolarization higher than 90%. The results are presented in Figure 4. The hyperpolarized [13C]pyruvate was mixed with 5 × 106 (n = 2), 107 (n = 2), 2 × 107 (n = 1), 3 × 107 (n = 2), 4 × 107 (n = 1), 6 × 107 (n = 2), 8 × 107 (n = 2), and 108 (n = 1) of the prostate cancer cell line PC3.
The resulting data are summarized in Figure 5 and Figure 6. Acquired data with spectral and temporal resolution are shown in Figure 5A-D and Figure 6A-D, with only a temporal resolution for each molecule observed (Figure 5E-H and Figure 6E-H), and with only a spectral resolution (Figure 5I-L and Figure 5I-L). We have observed three major hyperpolarized signals representing [1-13C]pyruvate, [1-13C]pyruvate hydrate, and [1-13C]lactate, with chemical shifts at 173 ppm, 181 ppm, and 185 ppm, approximately relative to the trimethylsilyl propanoic acid (TMSP) at pH 7.4 and temperature 20 °C. The signal ratios between the three metabolites are summarized in Table 1. The data show a clear correlation between the lactate signal and the number of cells present in the sample (Figure 7). However, the results from the experiments with less than 2 × 107 cells exhibit significant deviation, likely due to a low signal-to-noise ratio. Therefore, we suggest using more cells than this for further experiments. When the relative lactate signal (kinetic value) is normalized by the number of cells (Figure 8), it clearly demonstrates similar uptake and metabolism throughout all of the cells. However, there is a trend of decreasing lactate production per cell with an increasing number of cells. We believe that one of the causes of reduced cell metabolic activity is a very high concentration of cells in a very small volume, resulting in the increased viscosity of the sample. The results of the two-site exchange differential model are summarized in Table 2 and shown in Figure 9. The data follow a trend similar to the previous model: increasing kPA→LAC with an increasing number of cells. However, this model results in a steeper increase of the kinetics with the number of cells. When the metabolic exchange rate kPA→LAC is normalized to the number of cells, we can again see a clear trend of decreasing kPA→LAC with an increasing number of cells (Figure 10).
Figure 11 demonstrates the possibility of the addition of spatial localization to the experiment. It shows a phantom injected with 80 mmol/L hyperpolarized [1-13C]pyruvate next to a 10 mol/L 13C-urea phantom. The technique allows the attainment of a spectrum with temporal and special resolution (Figure 11A) or of the signal decay of the chosen metabolite signals in time (Figure 11B). The spectra in the time domain can also be summed to receive a better signal-to-noise ratio (Figure 11C). The special resolution allows the choice of the desired frequency region of the 13C spectrum belonging to certain metabolites, such as [1-13C]pyruvate (Figure 11D), [1-13C]pyruvate hydrate (Figure 11E), or reference 13C-urea (Figure 11F). It can be co-registered with a 1H image. The pulse sequence used (EPSI) allows the acquisition of an image of the whole slice every 4.9 s. In summary, this technique can provide data with a spatial, temporal, and spectral resolution for any metabolite.
Figure 3: Results of a Microwave Sweep with [1-13C]pyruvate at the Local 3.35-T Hyperpolarizer. The result of the measurements determining the optimal microwave frequency to maximize the hyperpolarization rate of 13C nuclei in the target compound of [1-13C]pyruvate. The microwave sweep has a shape of an EPR absorption spectrum. The shape and separation of the peaks are based on the radical used (in this case, trityl radical), and the biggest influence have a solid effect and thermal mixing. Please click here to view a larger version of this figure.
Figure 4: Solid State Polarization Buildup of a [1-13C]pyruvate Sample. An average of n = 13 solid-state polarization buildups with the error represented by the standard deviation measured every 300 s for up to 4,500 s. Please click here to view a larger version of this figure.
Figure 5: Results of the 13C NMR Spectroscopy for the Number of Cells (5 x 106 to 3 x 107 cells). The acquired data plotted with spectral and temporal resolution (A-D), plotted with temporal resolution only for [1-13C]pyruvate, [1-13C]pyruvate hydrate, and [1-13C]lactate (E-H), and plotted with spectral resolution only, summing all time steps (I-L). Please click here to view a larger version of this figure.
Figure 6: Results of the 13C NMR Spectroscopy for the Number of Cells (4 x 107 to 1 x 108 cells). The acquired data plotted with spectral and temporal resolution (A-D), plotted with temporal resolution only for [1-13C]pyruvate, [1-13C]pyruvate hydrate, and [1-13C]lactate (E-H), and plotted with spectral resolution only, summing all time steps (I-L). Please click here to view a larger version of this figure.
Figure 7: Results of the Simple Metabolite Ratio Kinetic Modeling. Data represents the ratio of the [1-13C]lactate signal to the sum of [1-13C]pyruvate, [1-13C]pyruvate hydrate, and [1-13C]lactate versus the number of cells in the experiments. The error represents the standard deviation. Please click here to view a larger version of this figure.
Figure 8: Results of the Simple Metabolite Ratio Kinetic Modeling Normalized to the Number of Cells. The data represent the ratio of the [1-13C]lactate signal to the sum of [1-13C]pyruvate, [1-13C]pyruvate hydrate, and [1-13C]lactate normalized to the number of cells versus the number of cells in the experiments. The error represents the standard deviation. Please click here to view a larger version of this figure.
Figure 9: Results of the Two-site Exchange Differential Model. The data represent the metabolic exchange rate (kPA→LAC) versus the number of cells in the experiments. The error represents the standard deviation. Please click here to view a larger version of this figure.
Figure 10: Results of the Two-site Exchange Differential Model Normalized to the Number of Cells. The data represent the metabolic exchange rate (kPA→LAC) normalized to the number of cells versus the number of cells in the experiments. The error represents the standard deviation. Please click here to view a larger version of this figure.
Figure 11: Result of Magnetic Resonance Imaging of the Hyperpolarized [1-13C]pyruvate Probe. A) The spectrum acquired over the whole slice and all time steps. B) The decay of the [1-13C]pyruvate and [1-13C]pyruvate hydrate signal over time. The third signal is the 10 M 13C-urea localization reference. C) The spectrum acquired from the whole spatial and temporal resolution. D) The 1H image overlaid with the 13C image of the summed [1-13C]pyruvate signal over all time steps. E) The 1H image overlaid with the 13C image of the summed [1-13C]pyruvate hydrate signal over all time steps. F) The 1H image overlaid with the 13C image of the summed 13C-urea signal over all time steps (reference). The 13C-signal in C-E is normalized to the maximum of the signal of the specific metabolite. Please click here to view a larger version of this figure.
Cell number | ||||||||
5×106 (n=2) | 107 (n=2) | 2×107 (n=1) | 3×107 (n=2) | 4×107 (n=1) | 6×107 (n=2) | 8×107 (n=2) | 108 (n=1) | |
[1-13C] pyruvate | 92.9 ± 1.4 | 91.7 ± 1.0 | 86.7 | 77.5 ± 2.7 | 76 | 69.7 ± 0.5 | 65.9 ± 3.7 | 42.9 |
[1-13C] pyruvate hydrate | 6.8 ± 1.2 | 6.7 ± 1.6 | 9.5 | 10.1 ± 1.8 | 8.9 | 7.7 ± 1.5 | 10.4 ± 0.2 | 13.4 |
[1-13C] lactate | 0.3 ± 0.3 | 1.6 ± 0.6 | 3.8 | 12.4 ± 4.5 | 15.1 | 22.5 ± 1.1 | 23.7 ± 3.5 | 43.7 |
Table 1: The Relative Ratio of Hyperpolarized Metabolites with Respect to the Different Number of Cells.
Cell number | ||||||||
5×106 (n=2) | 107 (n=2) | 2×107 (n=1) | 3×107 (n=1) | 4×107 (n=1) | 6×107 (n=2) | 8×107 (n=2) | 108 (n=1) | |
kPA → LAC [*10-4] | 0.924±0.870 | 4.984±1.19 | 15.135 | 36.289 | 58.904 | 112.174±10.491 | 114.3±37.059 | 349.234 |
Table 2: Results of the Two-site Exchange Differential Model.
13CMRSI with hyperpolarized probes is a promising method to monitor metabolism in real time in vitro and in vivo. One very important aspect when employing this experimental process is the proper standardization, especially regarding in vitro experiments. First, the preparation of the sample needs to be done properly and consistently to achieve the same concentration of hyperpolarized material in each experiment. This requires a precise weighing of both the sample to be hyperpolarized and the buffer. If the concentration is not correct, the final pH of the solution is not precise, which can have an influence on T1 and the cells' responses. It is also crucial to handle the cells as uniformly as possible. The cells should always be prepared in such a way that there is a minimal delay between cell harvest and the subsequent experiment in order to minimize the duration of time the cells are kept at a very high concentration and low volume. Variation in the cell preparation protocol, such as a different preparation times or temperatures, could result in substantial variations in the obtained data. The mixing of the sample with the cells should also be standardized. It is important to measure the time between the additions of the tracer to the cell suspension and the beginning of the measurement, because this can vary; during the data analysis, this should be considered.
The correct choice of the data analysis and kinetic modeling is crucial in the interpretation of the acquired data. The simple model is suitable for a linear one-way reaction with a constant exchange rate of two metabolites. As described in the introduction, pyruvate undergoes several enzymatic reactions and, more importantly, it also undergoes a non-enzymatic reversible-exchange reaction with pyruvate hydrate. This reaction played a crucial role in the experiments, and its effect is well demonstrated in the experiment with 8 × 107 cells. Although Table 1 indicates that the pyruvate hydrate relative concentration is similar to other experiments, when closely investigated in Figure 6D, it shows a much higher pyruvate hydrate signal at the beginning of the experiment compared to the other experiments. However, when the temporal resolution is summed up, this important information is lost and causes an error in the reconstruction of the data. On the other hand, the two-site exchange differential model is a more robust and precise description of the kinetics because it includes the temporal resolution in the calculation. Thus, it includes the non-enzymatic exchange with pyruvate hydrate, even if it rapidly exchanges with pyruvate during the measurement.
There are various imaging strategies to choose between to observe the hyperpolarized signal or to track the metabolism of a hyperpolarized molecule in preclinical and clinical studies. Durst et al. demonstrated the advantages and disadvantages of different pulse sequnces76. The free induction decay chemical shift imaging (FIDCSI) sequence is relatively robust but has limited use for multi-slice and temporally resolved imaging. Echo-planar spectroscopic imaging (EPSI) is robust for gradient issues and off-resonance effects but, it is prone to reconstruction artifacts. The iterative decomposition of water and fat with echo asymmetric and least-squares estimation (IDEAL)81, spiral chemical shift imaging (ISPCSI), pulse sequence35, and spiral chemical shift imaging (SPCSI) have high encoding efficiencies but are sensitive to B0 inhomogeneity. The choice of the sequence will depend on the scanner characteristics, the biological question, and the system being investigated.
There are many requirements that need to be fulfilled for successful hyperpolarization. However, there are also several limitations that the hyperpolarized 13CMRSI technique is nowadays facing. The primary and unchangeable limitation is the T1 relaxation time of the 13C nucleus in the molecule, which defines the amount of detectable signal available at the specific time of measurement. The signal is lowered by each RF excitation that causes a loss of the hyperpolarization signal repeatedly during data acquisition. Another limitation is the relatively long time period that is required to hyperpolarize a molecule. This typically takes from 30 to 90 min.
In comparison to other techniques of molecule imaging, such as [18F]-FDG PET, hyperpolarized 13CMRSI does not require tumors with increased glycolytic metabolic pathways and therefore, increased glucose consumption. The technique shows a real metabolic flux in real time. On the other hand, [18F]-FDG PET does not give direct information about metabolism but only indirect information about accumulation in the metabolically active area. This could cause a false negative result, where the tumor seems to be metabolically inactive but is actually using different metabolic pathways, such as glutaminolysis, as the carbon source for proliferation.
In conclusion, dissolution DNP can be used in a variety of applications to study an unlimited list of diseases (such as diabetes)82, measure pH15,36,45, or monitor metabolic changes in various types of cancer. These measurements can be accomplished on different levels, from in vitro cell experiments, through preclinical studies using animal models (such as mice, rats, rabbits, pigs, and dogs), to recent human clinical studies57. The future clinical applications will feature a very powerful and noninvasive diagnostic tool that could not only detect and localize the disease but also allow the observation of the treatment response in real time83.
Rolf F. Schulte and Marion I. Menzel are employed with GE Global Research.
E.K. gratefully acknowledges the support of the Graduate School of Bioengineering (GSB) at Technische Universität München. This work was supported by the German Research Foundation (DFG) within the SFB Collaborative Research Center 824, "Imaging for Selection, Monitoring, and Individualization of Cancer Therapies."
Name | Company | Catalog Number | Comments |
HyperSense DNP Polariser | Oxford Instruments | 3.35 T preclinical DNP hyperpolarizer | |
GE/Agilent MR901 | GE Healthcare/Agilent Technologies | 7 T preclinical MRI scanner, with small bore designed for experiments onrodent | |
Spinsolve Carbon | Magritek | 1 T NMR spectrometer with permanent magnet | |
Deuterium Oxide | Sigma Aldrich | 7789-20-0 | |
Sodium phosphate dibasic | Sigma Aldrich | 7558-79-4 | |
Sodium phosphate monbasic | Sigma Aldrich | 7558-80-7 | |
Sodium hydroxide | Sigma Aldrich | 1310-73-2 | |
Disodium edetate | Sigma Aldrich | 6381-92-6 | |
Pyruvic acid - 13C1 | Cambridge Isotopes Laboratories | CLM-8077-1 | |
Dotarem (0.5 mmol/L) | Guerbet | gadoterate meglumine | |
tris (8-carboxy-2,2,6,6-tetra-(hydroxyethyl)-benzo-[1,2–4,5]-bis-(1,3)-dithiole-4-yl)-methyl sodium salt (OX063) | GE Healthcare | trityl radical used as a sourse of free electron | |
PC3 cell line | ATCC | CRL1435 | |
F-12K medium | ATCC | 30-2004 | |
Fetal Bovine Serum | ATCC | SCRR-30-2020 | |
Trypsine-EDTA Solution, 1X | ATCC | 30-2101 | |
Sample plastic cup | Oxford Instruments | ||
Trypan blue | Bio-Rad | 145-0013-MSDS |
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