Collin J. Harlan1,2, Yunyun Chen3, Gary V. Martinez2, Vlad C. Sandulache4, Stephen Y. Lai3,5,6, and James A. Bankson1,2
1The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States, 2Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Department of Otolaryngology-Head and Neck Surgery, Baylor College of Medicine, Houston, TX, United States, 5Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 6Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
Synopsis
Keywords: Hyperpolarized MR (Non-Gas), Translational Studies
Metabolic imaging of hyperpolarized pyruvate can
provide new insight into tumor progression and response to therapy.
Pharmacokinetic modeling can be used to determine
kPL, the
apparent rate constant for conversion of hyperpolarized pyruvate into lactate. In
this work, we sought to characterize the effect of hyperpolarized pyruvate concentration
on intracellular
kPL in ATC cell suspensions using a two-compartment pharmacokinetic model for
kPL quantification.
Improved understanding of the effects of concentration on intracellular chemical conversion rates could lead to more accurate quantification of
in vivo and
clinical hyperpolarized MRI imaging biomarkers of metabolism.
Introduction
Hyperpolarized
(HP) MRI is an emerging metabolic imaging method that permits the
quantification of the conversion of HP [1-13C]-pyruvate into lactate1-3,
which can provide useful insight into the metabolic state of tumor tissue in
real time. To date, HP 13C MRI has demonstrated strong clinical
potential for characterization of tumor metabolism and response to therapy in a
variety of cancer types4-8. Pharmacokinetic (PK) modeling and
analysis can be used to determine kPL,
the apparent rate constant for conversion of HP [1-13C]-pyruvate
into lactate2. However,
further validation is needed in order to prove the potential of this metabolic
imaging biomarker to guide cancer diagnosis and treatment.
In our
previous work9, we evaluated intracellular kPL in suspensions of Hth-83 anaplastic thyroid cancer (ATC)
cells using ion chromatography-mass spectrometry (IC-MS) and HP nuclear
magnetic resonance (NMR) imaging modalities; a closed PK model with two physical compartments (intracellular, extracellular) and two chemical pools (pyruvate, lactate) was used for quantification of intracellular kPL
values. Interestingly, IC-MS results revealed that the intracellular pyruvate and
lactate pool sizes shifted dramatically, even when using 3 mM HP pyruvate in
solution with cells. Improved understanding of the effects of pyruvate concentration
on kPL could lead to more robust analyses of in vivo and
clinical HP MRI data. Therefore, the goal of this work was to capture effects of
pyruvate concentration on intracellular kPL using ATC cell
suspensions and a closed two-compartment PK model. Methods
Hyperpolarized NMR: HP [1-13C]-pyruvate was
prepared using a HyperSense dissolution dynamic nuclear polarization system
(Oxford Instruments, Abingdon, UK) as previously described10. All
NMR experiments were conducted using a Spectrospin DPX-300 NMR spectrometer equipped
with a broadband 10 mm NMR probe (Bruker, Billerica, MA, USA). Approximately 1×107
Hth-83 ATC cells were suspended in 900 μL of cell media and added to a 10 mm
Shigemi tube, along with 100 μL of D2O11. The Shigemi
tube was lowered to isocenter of the NMR for ~15 minutes at 310 K in order to
allow the ATC cells to equilibrate to body temperature. Aliquots of 40 mM HP
[1-13C]-pyruvate were measured and diluted using standard PBS in
order to achieve target concentrations of approximately 0.5, 1, 2, 3, 5 and 10
mM. A pulse-acquire sequence with a 10°
excitation angle and a 2 s repetition time was used to acquire dynamic 13C
spectra.
Pharmacokinetic
Modeling: A closed PK
model with two physical compartments (intracellular, extracellular) and two
chemical pools (pyruvate, lactate) was used to analyze HP NMR data (Figure 1)2.
The following differential equations relate exchange between pyruvate and
lactate in extracellular media (m) and within cells (c):
$$\frac{\partial P_m^*(t)}{\partial t}=\frac{k_{ecp}}{v_{m}}P_c^*(t)-(\frac{k_{ecp}}{v_{m}}+R_{Pyr})P_m^*(t)$$
$$\frac{\partial L_m^*(t)}{\partial t}=\frac{k_{ecl}}{v_{m}}L_c^*(t)-(\frac{k_{ecl}}{v_{m}}+R_{Lac})L_m^*(t)$$
$$\frac{\partial P_c^*(t)}{\partial t}=\frac{k_{ecp}}{v_{c}}P_m^*(t)+k_{LP}L_c^*(t)-(\frac{k_{ecp}}{v_{c}}+k_{PL}+R_{Pyr})P_c^*(t)$$
$$\frac{\partial L_c^*(t)}{\partial t}=\frac{k_{ecl}}{v_{c}}L_m^*(t)+k_{PL}P_c^*(t)-(\frac{k_{ecl}}{v_{c}}+k_{LP}+R_{Lac})L_c^*(t)$$
Here, kecp and kecl represent
the transport of pyruvate and lactate across the cell membrane. vm and vc denote the extracellular and intracellular volume fraction. The apparent rate constant for chemical
conversion of HP pyruvate to lactate is given by kPL, and the
reverse reaction rate is given by kLP. RPyr
and RLac denote losses due to T1 relaxation. Excitation
losses were modeled as instantaneous following each excitation, and the total
observed pyruvate (P*) and lactate (L*) signals were calculated
as the sum of compartmental signals weighted by their respective volume
fractions. To assess the uniqueness of the solutions, nuisance variables were
fit to the data while kPL
was varied across a supraphysiological range of values. For these studies, kPL values were selected at
the point on the residual curve where kPL begins to decrease
by <1%. Analysis was conducted using MATLAB R2021a
(The MathWorks, Natick, MA, USA).Results
PK
analysis of HP Hth-83 ATC in vivo experiments reveals that the highest kPL was observed when testing
the lowest concentration (0.5 mM). Figure 2 captures the distinct trend that
exists between intracellular kPL and concentration; as the
final extracellular concentration continues to increase up to 10 mM,
intracellular kPL values decrease.
These effects can also be explored by analyzing the observed
and fit HP pyruvate and lactate analysis curves for the contrasting 0.5 mM and
10 mM final concentration cases (Figure 3). There is a clear increase in the observed
lactate AUC for the 0.5 mM final concentration case (Figure 3a, top, blue line),
leading to an intracellular kPL=1.185 s-1 (Figure 3a, bottom). Contrastingly, there is a clear reduction in the observed lactate
AUC for the 10 mM final concentration case (Figure 3b, top, blue line), leading
to an intracellular kPL=0.167 s-1 (Figure 3b, bottom). The percent difference in the 0.5 and 10 mM kPL
values was found to be approximately 150%.Discussion and Conclusion
In our previous work9, IC-MS data showed a dramatic shift in pyruvate and lactate pool sizes when
using 3 mM concentrations of HP pyruvate in media. This lead us to hypothesize
that the concentration of pyruvate may have an effect on intracellular kPL. In this work, we
show the distinct relationship between intracellular kPL and concentration. Additional studies to assess the
mechanism and duration of this effect are currently underway. Improved understanding of the effect of concentration on kPL
will allow for more reproducible quantification of kPL and improved PK modeling of in vivo and clinical HP MRI data.Acknowledgements
This work was supported by funding from the National Cancer Institute (R01CA211150,
R01CA280980) and the National Institute of Diabetes and Digestive and Kidney
Diseases (R01DK105346) of the National Institutes of Health, and the Cancer
Prevention and Research Institute of Texas (RP170366). The content is solely
the responsibility of the authors and does not necessarily represent the
official views of the sponsors.References
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