Transmembrane pH gradient imaging in rodent glioma models
Sandeep Kumar Mishra1, Jessica Gois Santana2, Jelena Mihailovic1
1Department of Radiology & Biomedical Imaging, Yale University, New Haven, Connecticut, USA.
NMR in Biomedicine
|January 24, 2024
Summary
Tumor cells create a larger transmembrane pH gradient (ΔpH) by extruding acid. This study developed an MRI/MRSI technique to image ΔpH in gliomas, revealing higher ΔpH in tumors than normal brain tissue.
Area of Science:
- Oncology
- Biophysics
- Medical Imaging
Background:
- Tumor microenvironments exhibit extracellular acidosis due to metabolic reprogramming and H+ ion overproduction.
- The transmembrane pH gradient (ΔpH) is greater in tumors than normal tissues, influencing drug delivery and therapeutic targeting.
- Current methods for assessing ΔpH lack the resolution required for detailed tumor analysis.
Purpose of the Study:
- To develop and validate a novel MRI/MRSI-based technique for high-resolution ΔpH imaging in gliomas.
- To quantify the ΔpH in experimental rat and mouse glioma models.
- To establish a platform for in vivo ΔpH assessment in brain tumors.
Main Methods:
- Development of a submillimeter-resolution MRI/MRSI technique for ΔpH imaging.
- Measurement of intracellular pH (pHi) using Amine and Amide Concentration-Independent Detection (AACID).
- Measurement of extracellular pH (pHe) using Biosensor Imaging of Redundant Deviation in Shifts (BIRDS).
- Application of the technique to RG2, U87, and GL261 glioma models in rats and mice.
Main Results:
- Intracellular pH (pHi) was slightly higher in tumors (7.40-7.47) compared to normal brain (7.30-7.38).
- Extracellular pH (pHe) was significantly lower in tumors (6.62-6.84) compared to normal brain (7.17-7.21).
- Tumors exhibited a significantly higher ΔpH (0.62-0.81) compared to normal brain (0.13-0.16).
Conclusions:
- The developed MRI/MRSI platform enables submillimeter resolution ΔpH imaging in gliomas.
- The study confirms a larger ΔpH in tumor tissues, consistent with metabolic reprogramming.
- This technique offers a promising tool for investigating tumor biology and guiding cancer therapy.


