477. A continuous flow bioreactor system for high-throughput hyperpolarized metabolic flux analysis

Nichlas Vous Christensen, Rikke Holm, Juan D. Sanchez, Esben S. S. Hansen, Mathilde H. Lerche, Jan Henrik Ardenkjær-Larsen, Christoffer Laustsen, Lotte Bonde Bertelsen, NMR in Biomedicine, (2024), DOI: 10.1002/nbm.5107

Hyperpolarized carbon-13 labeled compounds are increasingly being used in medical MR imaging (MRI) and MR imaging (MRI) and spectroscopy (MRS) research, due to its ability to monitor tissue and cell metabolism in real-time. Although radiological biomarkers are increasingly being considered as clinical indicators, biopsies are still considered the gold standard for a large variety of indications. Bioreactor systems can play an important role in biopsy examinations because of their ability to provide a physiochemical environment that is conducive for therapeutic response monitoring ex vivo. We demonstrate here a proof-of-concept bioreactor and microcoil receive array setup that allows for ex vivo preservation and metabolic NMR spectroscopy on up to three biopsy samples simultaneously, creating an easy-to-use and robust way to simultaneously run multisample carbon-13 hyperpolarization experiments. Experiments using hyperpolarized [1-13C]pyruvate on ML-1 leukemic cells in the bioreactor setup were performed and the kinetic pyruvate-to-lactate rate constants (kPL) extracted. The coefficient of variation of the experimentally found kPLs for five repeated experiments was CV =35%. With this statistical power, treatment effects of 30%–40% change in lactate production could be easily differentiable with only a few hyperpolarization dissolutions on this setup. Furthermore, longitudinal experiments showed preservation of ML-1 cells in the bioreactor setup for at least 6h. Rat brain tissue slices were also seen to be preserved within the bioreactor for at least 1h. This validation serves as the basis for further optimization and upscaling of the setup, which undoubtedly has huge potential in high-throughput studies with various biomarkers and tissue types.