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. 2021 Aug 6;11(8):518.
doi: 10.3390/metabo11080518.

Monitoring Early Glycolytic Flux Alterations Following Radiotherapy in Cancer and Immune Cells: Hyperpolarized Carbon-13 Magnetic Resonance Imaging Study

Affiliations

Monitoring Early Glycolytic Flux Alterations Following Radiotherapy in Cancer and Immune Cells: Hyperpolarized Carbon-13 Magnetic Resonance Imaging Study

Ying-Chieh Lai et al. Metabolites. .

Abstract

Alterations in metabolism following radiotherapy affect therapeutic efficacy, although the mechanism underlying such alterations is unclear. A new imaging technique-named dynamic nuclear polarization (DNP) carbon-13 magnetic resonance imaging (MRI)-probes the glycolytic flux in a real-time, dynamic manner. The [1-13C]pyruvate is transported by the monocarboxylate transporter (MCT) into cells and converted into [1-13C]lactate by lactate dehydrogenase (LDH). To capture the early glycolytic alterations in the irradiated cancer and immune cells, we designed a preliminary DNP 13C-MRI study by using hyperpolarized [1-13C]pyruvate to study human FaDu squamous carcinoma cells, HMC3 microglial cells, and THP-1 monocytes before and after irradiation. The pyruvate-to-lactate conversion rate (kPL [Pyr.]) calculated by kinetic modeling was used to evaluate the metabolic alterations. Western blotting was performed to assess the expressions of LDHA, LDHB, MCT1, and MCT4 proteins. Following irradiation, the pyruvate-to-lactate conversion rates on DNP 13C-MRI were significantly decreased in the FaDu and the HMC3 cells but increased in the THP-1 cells. Western blot analysis confirmed the similar trends in LDHA and LDHB expression levels. In conclusion, DNP 13C-MRI non-invasively captured the different glycolytic alterations among cancer and immune systems in response to irradiation, implying its potential for clinical use in the future.

Keywords: cancer metabolism; dynamic nuclear polarization; glycolysis; immune system; magnetic resonance imaging; radiation.

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Conflict of interest statement

The authors declare that there is no conflicts of interest.

Figures

Figure 1
Figure 1
Diagram of the metabolic fates of [1-13C]pyruvate that were detected by hyperpolarized 13C-MR spectroscopy in this study. Note—MCT, monocarboxylate transporter; LDH, lactate dehydrogenase; ALT, alanine transaminase.
Figure 2
Figure 2
A schematic plot of the delivery timeline of hyperpolarized [1-13C]pyruvate. Three stages described the delivery steps: (I) dissolution and export of hyperpolarized [1-13C]pyruvate from the polarizer; (II) mixing of hyperpolarized [1-13C]pyruvate with the cell suspensions; (III) start of 13C-MR spectroscopy acquisition. Step (II) was defined as “t = 0”.
Figure 3
Figure 3
Representative data from an in vitro study. (A) Orange dots represent the data for [1-13C]pyruvate (I) and [1-13C]lactate (II) obtained from the spectroscopy-based 13C-MRI acquisition. Blue dots represent best fit lines calculated by kinetic modeling. (B) Imaging-based 13C-MRI acquisition of the investigated metabolites displayed at a temporal resolution of 2 s. Each row represents one metabolite: lactate (chemical shift, 392 Hz), pyruvate–hydrate (267 Hz), alanine (177 Hz), pyruvate (0 Hz), and bicarbonate (−324 Hz). Hyperpolarized 13C signals of lactate, pyruvate–hydrate, and pyruvate were visually observed.
Figure 4
Figure 4
Comparison of the conversion rates (kPL [Pyr.]) of hyperpolarized [1-13C]pyruvate to [1-13C]lactate between the non-irradiated (non-RT) and irradiated (RT) FaDu, HMC3, and THP-1 cells (* p < 0.05; ** p < 0.01). Note—kPL [Pyr.] unit: nM/s/106 cells.
Figure 5
Figure 5
Analysis of the expressions of LDHA and LDHB in the non-irradiated (non-RT) and irradiated (RT) cancer and immune cells. (A) Western blot analyses of LDHA and LDHB in FaDu, HMC3, and THP-1 cells. GAPDH was used as a loading control. (B) Comparison of the expressions of LDHA and LDHB between the non-irradiated and irradiated cells (* p < 0.05; ** p < 0.01). Note—LDH, lactate dehydrogenase; GAPDH, glyceraldehyde-3-phosphate dehydrogenase.

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