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Published in: Molecular Imaging and Biology 2/2023

23-11-2022 | Positron Emission Tomography | Research Article

Glucose Infusion Induced Change in Intracellular pH and Its Relationship with Tumor Glycolysis in a C6 Rat Model of Glioblastoma

Authors: Qi Qi, Matthew S. Fox, Heeseung Lim, Rebecca Sullivan, Alex Li, Miranda Bellyou, Lise Desjardins, Andrew McClennan, Robert Bartha, Lisa Hoffman, Timothy J. Scholl, Ting-Yim Lee, Jonathan D. Thiessen

Published in: Molecular Imaging and Biology | Issue 2/2023

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Abstract

Introduction

The reliance on glycolytic metabolism is a hallmark of tumor metabolism. Excess acid and protons are produced, leading to an acidic tumor environment. Therefore, we explored the relationship between the tumor glycolytic metabolism and tissue pH by comparing 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) and hyperpolarized [1-13C]pyruvate MR spectroscopy imaging (MRSI) to chemical exchange saturation transfer (CEST) MRI measurements of tumor pH.

Methods

106 C6 glioma cells were implanted in the brains of male Wistar rats (N = 11) using stereotactic surgery. A 60-min PET acquisition after a bolus of FDG was performed at 11–13 days post implantation, and standardized uptake value (SUV) was calculated. CEST measurements were acquired the following day before and during constant infusion of glucose solution. Tumor intracellular pH (pHi) was evaluated using amine and amide concentration-independent detection (AACID) CEST MRI. The change of pHi (∆pHi) was calculated as the difference between pHi pre- and during glucose infusion. Rats were imaged immediately with hyperpolarized [1-13C]pyruvate MRSI. Regional maps of the ratio of Lac:Pyr were acquired. The correlations between SUV, Lac:Pyr ratio, and ∆pHi were evaluated using Pearson’s correlation.

Results

A decrease of 0.14 in pHi was found after glucose infusion in tumor region. Significant correlations between tumor glycolysis measurements of Lac:Pyr and ∆pHi within the tumor (ρ = 0.83, P = 0.01) and peritumoral region (ρ = 0.76, P = 0.028) were observed. No significant correlations were found between tumor SUV and ∆pHi within the tumor (ρ =  − 0.45, P = 0.17) and peritumor regions (ρ =  − 0.6, P = 0.051).

Conclusion

AACID detected the changes in pHi induced by glucose infusion. Significant correlations between tumor glycolytic measurement of Lac:Pyr and tumoral and peritumoral pHi and ∆pHi suggest the intrinsic relationship between tumor glycolytic metabolism and the tumor pH environment as well as the peritumor pH environment.
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Literature
5.
go back to reference Stubbs M, Rodrigues L, Howe FA et al (1994) Metabolic consequences of a reversed pH gradient in rat tumors. Cancer Res 54(15):4011–4016PubMed Stubbs M, Rodrigues L, Howe FA et al (1994) Metabolic consequences of a reversed pH gradient in rat tumors. Cancer Res 54(15):4011–4016PubMed
12.
go back to reference Lim H. (2017) Tumour metabolism using hyperpolarized carbon-13 magnetic resonance spectroscopic imaging in a preclinical model of glioma. PhD Thesis Lim H. (2017) Tumour metabolism using hyperpolarized carbon-13 magnetic resonance spectroscopic imaging in a preclinical model of glioma. PhD Thesis
15.
go back to reference Yeung TPC (2014) Functional imaging of malignant gliomas with CT perfusion. PhD Thesis. Yeung TPC (2014) Functional imaging of malignant gliomas with CT perfusion. PhD Thesis.
18.
Metadata
Title
Glucose Infusion Induced Change in Intracellular pH and Its Relationship with Tumor Glycolysis in a C6 Rat Model of Glioblastoma
Authors
Qi Qi
Matthew S. Fox
Heeseung Lim
Rebecca Sullivan
Alex Li
Miranda Bellyou
Lise Desjardins
Andrew McClennan
Robert Bartha
Lisa Hoffman
Timothy J. Scholl
Ting-Yim Lee
Jonathan D. Thiessen
Publication date
23-11-2022
Publisher
Springer International Publishing
Published in
Molecular Imaging and Biology / Issue 2/2023
Print ISSN: 1536-1632
Electronic ISSN: 1860-2002
DOI
https://doi.org/10.1007/s11307-022-01726-0

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