Purpose: Hyperpolarized [1- C]pyruvate MRS can measure cardiac metabolism in vivo. We investigated whether [1- C]pyruvate MRS could predict left ventricular remodeling following myocardial infarction (MI), long-term left ventricular effects of heart failure medication, and could identify responders to treatment.
Methods: Thirty-five rats were scanned with hyperpolarized [1- C]pyruvate MRS 3 days after MI or sham surgery. The animals were re-examined after 30 days of therapy with β-blockers and ACE-inhibitors (active group, n = 12), placebo treatment (placebo group, n = 13) or no treatment (sham group, n = 10). Furthermore, heart tissue mitochondrial respiratory capacity was assessed by high-resolution respirometry. Metabolic results were compared between groups, over time and correlated to functional MR data at each time point.
Results: At 30 ± 0.5 days post MI, left ventricular ejection fraction (LVEF) differed between groups (sham, 77% ± 1%; placebo, 52% ± 3%; active, 63% ± 2%, P < .001). Cardiac metabolism, measured by both hyperpolarized [1- C]pyruvate MRS and respirometry, neither differed between groups nor between baseline and follow-up. Three days post MI, low bicarbonate + CO /pyruvate ratio was associated with low LVEF. At follow-up, in the active group, a poor recovery of LVEF was associated with high bicarbonate + CO /pyruvate ratio, as measured by hyperpolarized MRS.
Conclusion: In a rat model of moderate heart failure, medical treatment improved function, but did not on average influence [1- C]pyruvate flux as measured by MRS; however, responders to heart failure medication had reduced capacity for carbohydrate metabolism.
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http://dx.doi.org/10.1002/mrm.28964 | DOI Listing |
IEEE Access
November 2024
University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
The achievable spatial resolution of C metabolic images acquired with hyperpolarized C-pyruvate is worse than H images typically by an order of magnitude due to the rapidly decaying hyperpolarized signals and the low gyromagnetic ratio of C. This study is to develop and characterize a volumetric patch-based super-resolution reconstruction algorithm that enhances spatial resolution C cardiac MRI by utilizing structural information from H MRI. The reconstruction procedure comprises anatomical segmentation from high-resolution H MRI, calculation of a patch-based weight matrix, and iterative reconstruction of high-resolution multi-slice C MRI.
View Article and Find Full Text PDFNMR Biomed
January 2025
The MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Mild traumatic brain injuries (TBIs) are frequent in the European population. The pathophysiological changes after TBI include metabolic changes, but these are not observable using current clinical tools. We aimed to evaluate multinuclear MRI as a mean of assessing these changes.
View Article and Find Full Text PDFOncogene
December 2024
Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK.
Neurochem Res
November 2024
Neuroscience Research Australia, Barker St, Randwick, NSW, 2031, Australia.
L-Proline (L-Pro) is a non-essential amino acid which, in high concentrations, can cause neurological problems including seizures, although the causative mechanism for this is unclear. Here, we studied the impact of physiological levels of proline on brain energy metabolism and investigated the metabolism of L-Pro itself, using the cortical brain tissue slice and stable isotope labelling from [1- C]glucose and [1,2- C]acetate detected by NMR spectroscopy and LCMS. L-Pro was actively taken up by the slices and significantly reduced the total metabolic pools of all measured metabolites with glutamine the least affected, while reducing net flux of C into glycolytic byproducts (lactate and alanine).
View Article and Find Full Text PDFClin Nucl Med
February 2025
Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Hyperpolarized 1- 13 C-pyruvate magnetic resonance spectroscopy (MRS) and MRS imaging (MRSI) offer noninvasive and real-time direct assessment of the altered metabolism of cancer cells known as the Warburg effect-a key hallmark of cancer. When combined with simultaneously acquired 18 F-FDG PET in a PET/MR scanner, coined hyperPET by us, this dual-modality may unveil cancer-type specific glucose metabolic phenotypes with potential implications for patient prognostication, treatment-response assessment, and prediction. We here present the first human data of simultaneously acquired hyperpolarized MRS/MRSI and PET performed in a PET/MR scanner-and the first human hyperpolarized MRS/MRSI data from a patient with lymphoma.
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