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Wang Z, Luo G, Li Y, Cao P. Using a deep learning prior for accelerating hyperpolarized 13C MRSI on synthetic cancer datasets. Magn Reson Med 2024; 92:945-955. [PMID: 38440832 DOI: 10.1002/mrm.30053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 03/06/2024]
Abstract
PURPOSE We aimed to incorporate a deep learning prior with k-space data fidelity for accelerating hyperpolarized carbon-13 MRSI, demonstrated on synthetic cancer datasets. METHODS A two-site exchange model, derived from the Bloch equation of MR signal evolution, was firstly used in simulating training and testing data, that is, synthetic phantom datasets. Five singular maps generated from each simulated dataset were used to train a deep learning prior, which was then employed with the fidelity term to reconstruct the undersampled MRI k-space data. The proposed method was assessed on synthetic human brain tumor images (N = 33), prostate cancer images (N = 72), and mouse tumor images (N = 58) for three undersampling factors and 2.5% additive Gaussian noise. Furthermore, varied levels of Gaussian noise with SDs of 2.5%, 5%, and 10% were added on synthetic prostate cancer data, and corresponding reconstruction results were evaluated. RESULTS For quantitative evaluation, peak SNRs were approximately 32 dB, and the accuracy was generally improved for 5 to 8 dB compared with those from compressed sensing with L1-norm regularization or total variation regularization. Reasonable normalized RMS error were obtained. Our method also worked robustly against noise, even on a data with noise SD of 10%. CONCLUSION The proposed singular value decomposition + iterative deep learning model could be considered as a general framework that extended the application of deep learning MRI reconstruction to metabolic imaging. The morphology of tumors and metabolic images could be measured robustly in six times acceleration using our method.
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Affiliation(s)
- Zuojun Wang
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Guanxiong Luo
- Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
| | - Ye Li
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology of Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Peng Cao
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, People's Republic of China
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2
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Gordon JW, Chen HY, Nickles T, Lee PM, Bok R, Ohliger MA, Okamoto K, Ko AH, Larson PEZ, Wang ZJ. Hyperpolarized 13C Metabolic MRI of Patients with Pancreatic Ductal Adenocarcinoma. J Magn Reson Imaging 2024; 60:741-749. [PMID: 38041836 PMCID: PMC11144260 DOI: 10.1002/jmri.29162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDA) is the third leading cause of cancer-related death in the United States. However, early response assessment using the current approach of measuring changes in tumor size on computed tomography (CT) or MRI is challenging. PURPOSE To investigate the feasibility of hyperpolarized (HP) [1-13C]pyruvate MRI to quantify metabolism in the normal appearing pancreas and PDA, and to assess changes in PDA metabolism following systemic chemotherapy. STUDY TYPE Prospective. SUBJECTS Six patients (65.0 ± 7.6 years, 2 females) with locally advanced or metastatic PDA enrolled prior to starting a new line of systemic chemotherapy. FIELD STRENGTH/SEQUENCE 3-T, T1-weighted gradient echo, metabolite-selective 13C echoplanar imaging. ASSESSMENT Time-resolved HP [1-13C]pyruvate data were acquired before (N = 6) and 4-weeks after (N = 3) treatment initiation. Pyruvate metabolism, as quantified by pharmacokinetic modeling and metabolite area-under-the-curve ratios, was assessed in manually segmented PDA and normal appearing pancreas ROIs (N = 5). The change in tumor metabolism before and 4-weeks after treatment initiation was assessed in primary PDA (N = 2) and liver metastases (N = 1), and was compared to objective tumor response defined by response evaluation criteria in solid tumors (RECIST) on subsequent CTs. STATISTICAL TESTS Descriptive tests (mean ± standard deviation), model fit error for pharmacokinetic rate constants. RESULTS Primary PDA showed reduced alanine-to-lactate ratios when compared to normal pancreas, due to increased lactate-to-pyruvate or reduced alanine-to-pyruvate ratios. Of the three patients who received HP [1-13C]pyruvate MRI before and 4-weeks after treatment initiation, one patient had a primary tumor with early metabolic response (increase in alanine-to-lactate) and subsequent partial response according to RECIST, one patient had a primary tumor with relatively stable metabolism and subsequent stable disease by RECIST, and one patient had metastatic PDA with increase in lactate-to-pyruvate of the liver metastases and corresponding progressive disease according to RECIST. DATA CONCLUSION Altered pyruvate metabolism with increased lactate or reduced alanine was observed in the primary tumor. Early metabolic response assessed at 4-weeks after treatment initiation correlated with subsequent objective tumor response assessed using RECIST. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Tanner Nickles
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Philip M Lee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Kimberly Okamoto
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Andrew H Ko
- Department of Medicine, University of California, San Francisco, California, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, California, USA
| | - Zhen J Wang
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, California, USA
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3
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Meier S, Wang KC, Sannelli F, Hoof JB, Wendland J, Jensen PR. Visualizing Metabolism in Biotechnologically Important Yeasts with dDNP NMR Reveals Evolutionary Strategies and Glycolytic Logic. Anal Chem 2024; 96:10901-10910. [PMID: 38938197 DOI: 10.1021/acs.analchem.4c00809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Saccharomyces cerevisiae has long been a pillar of biotechnological production and basic research. More recently, strides to exploit the functional repertoire of nonconventional yeasts for biotechnological production have been made. Genomes and genetic tools for these yeasts are not always available, and yeast genomics alone may be insufficient to determine the functional features in yeast metabolism. Hence, functional assays of metabolism, ideally in the living cell, are best suited to characterize the cellular biochemistry of such yeasts. Advanced in cell NMR methods can allow the direct observation of carbohydrate influx into central metabolism on a seconds time scale: dDNP NMR spectroscopy temporarily enhances the nuclear spin polarization of substrates by more than 4 orders of magnitude prior to functional assays probing central metabolism. We use various dDNP enhanced carbohydrates for in-cell NMR to compare the metabolism of S. cerevisiae and nonconventional yeasts, with an emphasis on the wine yeast Hanseniaspora uvarum. In-cell observations indicated more rapid exhaustion of free cytosolic NAD+ in H. uvarum and alternative routes for pyruvate conversion, in particular, rapid amination to alanine. In-cell observations indicated that S. cerevisiae outcompetes other biotechnologically relevant yeasts by rapid ethanol formation due to the efficient adaptation of cofactor pools and the removal of competing reactions from the cytosol. By contrast, other yeasts were better poised to use redox neutral processes that avoided CO2-emission. Beyond visualizing the different cellular strategies for arriving at redox neutral end points, in-cell dDNP NMR probing showed that glycolytic logic is more conserved: nontoxic precursors of cellular building blocks formed high-population intermediates in the influx of glucose into the central metabolism of eight different biotechnologically important yeasts. Unsupervised clustering validated that the observation of rapid intracellular chemistry is a viable means to functionally classify biotechnologically important organisms.
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Affiliation(s)
- Sebastian Meier
- Department of Chemistry, Technical University of Denmark, Kemitorvet 207, 2800 Kgs. Lyngby, Denmark
| | - Ke-Chuan Wang
- Department of Health Technology Technical University of Denmark, Elektrovej 349, 2800 Kgs. Lyngby, Denmark
| | - Francesca Sannelli
- Department of Chemistry, Technical University of Denmark, Kemitorvet 207, 2800 Kgs. Lyngby, Denmark
| | - Jakob Blæsbjerg Hoof
- Department of Bioengineering, Technical University of Denmark, Søltofts Plads 223, 2800 Kgs. Lyngby, Denmark
| | - Jürgen Wendland
- Department of Microbiology and Biochemistry, Hochschule Geisenheim University, Von-Lade-Strasse 1, 65366 Geisenheim, Germany
| | - Pernille Rose Jensen
- Department of Health Technology Technical University of Denmark, Elektrovej 349, 2800 Kgs. Lyngby, Denmark
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4
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Fries LM, Hune TLK, Sternkopf S, Mamone S, Schneider KL, Schulz-Heddergott R, Becker D, Glöggler S. Real-Time Metabolic Magnetic Resonance Spectroscopy of Pancreatic and Colon Cancer Tumor-Xenografts with Parahydrogen Hyperpolarized 1- 13C Pyruvate-d 3. Chemistry 2024:e202400187. [PMID: 38887134 DOI: 10.1002/chem.202400187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/29/2024] [Accepted: 06/17/2024] [Indexed: 06/20/2024]
Abstract
Parahydrogen-induced polarization (PHIP) is an emerging technique to enhance the signal of stable isotope metabolic contrast agents for Magnetic Resonance (MR). The objective of this study is to continue establishing 1-13C-pyruvate-d3, signal-enhanced via PHIP, as a hyperpolarized contrast agent, obtained in seconds, to monitor metabolism in human cancer. Our focus was on human pancreatic and colon tumor xenografts. 1-13C-vinylpyruvate-d6 was hydrogenated using parahydrogen. Thereafter, the polarization of the protons was transferred to 13C. Following a workup procedure, the free hyperpolarized 1-13C-pyruvate-d3 was obtained in clean aqueous solution. After injection into animals bearing either pancreatic or colon cancer xenografts, slice-selective MR spectra were acquired and analyzed to determine rate constants of metabolic conversion into lactate and alanine. 1-13C-pyruvate-d3 proved to follow the increased metabolic rate to lactate and alanine in the tumor xenografts.
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Affiliation(s)
- Lisa M Fries
- NMR Signal Enhancement Group Max Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, 37077, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Theresa L K Hune
- NMR Signal Enhancement Group Max Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, 37077, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Sonja Sternkopf
- NMR Signal Enhancement Group Max Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, 37077, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Salvatore Mamone
- NMR Signal Enhancement Group Max Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, 37077, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
- Present address: Department of Life, Health and Environmental Science, University of L'Aquila, Via Vetoio, Localita' Coppito, 67100, L'Aquila, Italy
| | - Kim Lucia Schneider
- Department of Molecular Oncology, University Medical Center Göttingen, Justus von Liebig Weg 11, 37077, Göttingen, Germany
- Clinical Research Unit 5002, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Ramona Schulz-Heddergott
- Department of Molecular Oncology, University Medical Center Göttingen, Justus von Liebig Weg 11, 37077, Göttingen, Germany
- Clinical Research Unit 5002, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Dorothea Becker
- Department of NMR-based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, 37077, Göttingen, Germany
| | - Stefan Glöggler
- NMR Signal Enhancement Group Max Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, 37077, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
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Larson PEZ, Bernard JML, Bankson JA, Bøgh N, Bok RA, Chen AP, Cunningham CH, Gordon J, Hövener JB, Laustsen C, Mayer D, McLean MA, Schilling F, Slater J, Vanderheyden JL, von Morze C, Vigneron DB, Xu D. Current methods for hyperpolarized [1- 13C]pyruvate MRI human studies. Magn Reson Med 2024; 91:2204-2228. [PMID: 38441968 PMCID: PMC10997462 DOI: 10.1002/mrm.29875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 08/12/2023] [Accepted: 09/06/2023] [Indexed: 03/07/2024]
Abstract
MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of HP agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate-by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C-pyruvate preparation; (2) MRI system setup and calibrations; (3) data acquisition and image reconstruction; and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the "HP 13C MRI Consensus Group" as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods and Equipment study groups. It further aims to provide a comprehensive reference for future consensus, building as the field continues to advance human studies with this metabolic imaging modality.
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Affiliation(s)
- Peder EZ Larson
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering,
University of California, San Francisco and University of California, Berkeley, CA
94143, USA
| | - Jenna ML Bernard
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | - James A Bankson
- Department of Imaging Physics, MD Anderson Medical Center,
Houston, TX, USA
| | - Nikolaj Bøgh
- The MR Research Center, Department of Clinical Medicine,
Aarhus University, Aarhus, Denmark
| | - Robert A Bok
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | | | - Charles H Cunningham
- Physical Sciences, Sunnybrook Research Institute, Toronto,
Ontario, Canada
- Department of Medical Biophysics, University of Toronto,
Toronto, Ontario, Canada
| | - Jeremy Gordon
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | - Jan-Bernd Hövener
- Section Biomedical Imaging, Molecular Imaging North
Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University
Medical Center Schleswig-Holstein (UKSH), Kiel University, Am Botanischen Garten 14,
24118, Kiel, Germany
| | - Christoffer Laustsen
- The MR Research Center, Department of Clinical Medicine,
Aarhus University, Aarhus, Denmark
| | - Dirk Mayer
- Department of Diagnostic Radiology and Nuclear Medicine,
University of Maryland School of Medicine, Baltimore, MD, USA
- Greenebaum Cancer Center, University of Maryland School
of Medicine, Baltimore, MD, USA
| | - Mary A McLean
- Department of Radiology, University of Cambridge,
Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of
Cambridge, Li Ka Shing Center, Cambridge, United Kingdom
| | - Franz Schilling
- Department of Nuclear Medicine, School of Medicine,
Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich,
Germany
| | - James Slater
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
| | | | | | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering,
University of California, San Francisco and University of California, Berkeley, CA
94143, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University
of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering,
University of California, San Francisco and University of California, Berkeley, CA
94143, USA
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6
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Andelius TCK, Hansen ESS, Bøgh N, Pedersen MV, Kyng KJ, Henriksen TB, Laustsen C. Hyperpolarized 13C magnetic resonance imaging in neonatal hypoxic-ischemic encephalopathy: First investigations in a large animal model. NMR IN BIOMEDICINE 2024; 37:e5110. [PMID: 38317333 DOI: 10.1002/nbm.5110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 12/03/2023] [Accepted: 01/07/2024] [Indexed: 02/07/2024]
Abstract
Early biomarkers of cerebral damage are essential for accurate prognosis, timely intervention, and evaluation of new treatment modalities in newborn infants with hypoxia and ischemia at birth. Hyperpolarized 13C magnetic resonance imaging (MRI) is a novel method with which to quantify metabolism in vivo with unprecedented sensitivity. We aimed to investigate the applicability of hyperpolarized 13C MRI in a newborn piglet model and whether this method may identify early changes in cerebral metabolism after a standardized hypoxic-ischemic (HI) insult. Six piglets were anesthetized and subjected to a standardized HI insult. Imaging was performed prior to and 2 h after the insult on a 3-T MR scanner. For 13C studies, [1-13C]pyruvate was hyperpolarized in a commercial polarizer. Following intravenous injection, images were acquired using metabolic-specific imaging. HI resulted in a metabolic shift with a decrease in pyruvate to bicarbonate metabolism and an increase in pyruvate to lactate metabolism (lactate/bicarbonate ratio, mean [SD]; 2.28 [0.36] vs. 3.96 [0.91]). This is the first study to show that hyperpolarized 13C MRI can be used in newborn piglets and applied to evaluate early changes in cerebral metabolism after an HI insult.
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Affiliation(s)
- Ted C K Andelius
- Department of Paediatrics, Aarhus University Hospital, Aarhus, Denmark
| | | | - Nikolaj Bøgh
- The MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Mette V Pedersen
- Department of Paediatrics, Aarhus University Hospital, Aarhus, Denmark
| | - Kasper J Kyng
- Department of Paediatrics, Aarhus University Hospital, Aarhus, Denmark
| | - Tine B Henriksen
- Department of Paediatrics, Aarhus University Hospital, Aarhus, Denmark
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7
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Lai YC, Hsieh CY, Juan YH, Lu KY, Lee HJ, Ng SH, Wan YL, Lin G. Hyperpolarized Carbon-13 Magnetic Resonance Imaging: Technical Considerations and Clinical Applications. Korean J Radiol 2024; 25:459-472. [PMID: 38685736 PMCID: PMC11058429 DOI: 10.3348/kjr.2024.0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/17/2024] [Accepted: 02/27/2024] [Indexed: 05/02/2024] Open
Abstract
Hyperpolarized (HP) carbon-13 (13C) MRI represents an innovative approach for noninvasive, real-time assessment of dynamic metabolic flux, with potential integration into routine clinical MRI. The use of [1-13C]pyruvate as a probe and its conversion to [1-13C]lactate constitute an extensively explored metabolic pathway. This review comprehensively outlines the establishment of HP 13C-MRI, covering multidisciplinary team collaboration, hardware prerequisites, probe preparation, hyperpolarization techniques, imaging acquisition, and data analysis. This article discusses the clinical applications of HP 13C-MRI across various anatomical domains, including the brain, heart, skeletal muscle, breast, liver, kidney, pancreas, and prostate. Each section highlights the specific applications and findings pertinent to these regions, emphasizing the potential versatility of HP 13C-MRI in diverse clinical contexts. This review serves as a comprehensive update, bridging technical aspects with clinical applications and offering insights into the ongoing advancements in HP 13C-MRI.
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Affiliation(s)
- Ying-Chieh Lai
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Ching-Yi Hsieh
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Hsiang Juan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Kuan-Ying Lu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Hsien-Ju Lee
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Shu-Hang Ng
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan.
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8
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Christensen NV, Holm R, Sanchez JD, Hansen ESS, Lerche MH, Ardenkjær-Larsen JH, Laustsen C, Bertelsen LB. A continuous flow bioreactor system for high-throughput hyperpolarized metabolic flux analysis. NMR IN BIOMEDICINE 2024; 37:e5107. [PMID: 38279190 DOI: 10.1002/nbm.5107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/28/2024]
Abstract
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 ( k PL ) extracted. The coefficient of variation of the experimentally found k PL s for five repeated experiments was C V = 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 6 h. Rat brain tissue slices were also seen to be preserved within the bioreactor for at least 1 h. 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.
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Affiliation(s)
| | - Rikke Holm
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Esben S S Hansen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Mathilde H Lerche
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Christoffer Laustsen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lotte Bonde Bertelsen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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9
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Bøgh N, Sørensen CB, Alstrup AKO, Hansen ESS, Andersen OM, Laustsen C. Mice and minipigs with compromised expression of the Alzheimer's disease gene SORL1 show cerebral metabolic disturbances on hyperpolarized [1- 13C]pyruvate and sodium MRI. Brain Commun 2024; 6:fcae114. [PMID: 38650831 PMCID: PMC11034025 DOI: 10.1093/braincomms/fcae114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/24/2024] [Accepted: 03/29/2024] [Indexed: 04/25/2024] Open
Abstract
The sortilin-related receptor 1 (SORL1) gene, encoding the cellular endosomal sorting-related receptor with A-type repeats (SORLA), is now established as a causal gene for Alzheimer's disease. As the latest addition to the list of causal genes, the pathophysiological effects and biomarker potential of SORL1 variants remain relatively undiscovered. Metabolic dysfunction is, however, well described in patients with Alzheimer's disease and is used as an imaging biomarker in clinical diagnosis settings. To understand the metabolic consequences of loss-of-function SORL1 mutations, we applied two metabolic MRI technologies, sodium (23Na) MRI and MRI with hyperpolarized [1-13C]pyruvate, in minipigs and mice with compromised expression of SORL1. At the age analysed here, both animal models display no conventional imaging evidence of neurodegeneration but show biochemical signs of elevated amyloid production, thus representing the early preclinical disease. With hyperpolarized MRI, the exchange from [1-13C]pyruvate to [1-13C]lactate and 13C-bicarbonate was decreased by 32 and 23%, respectively, in the cerebrum of SORL1-haploinsufficient minipigs. A robust 11% decrease in the sodium content was observed with 23Na-MRI in the same minipigs. Comparably, the brain sodium concentration gradually decreased from control to SORL1 haploinsufficient (-11%) to SORL1 knockout mice (-23%), suggesting a gene dose dependence in the metabolic dysfunction. The present study highlights that metabolic MRI technologies are sensitive to the functional, metabolic consequences of Alzheimer's disease and Alzheimer's disease-linked genotypes. Further, the study suggests a potential avenue of research into the mechanisms of metabolic alterations by SORL1 mutations and their potential role in neurodegeneration.
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Affiliation(s)
- Nikolaj Bøgh
- Department of Clinical Medicine, The MR Research Centre, Aarhus University, 8200 Aarhus, Denmark
- A&E, Gødstrup Hospital, 7400 Herning, Denmark
| | | | - Aage K O Alstrup
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
- Department of Nuclear Medicine and PET-Centre, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Esben S S Hansen
- Department of Clinical Medicine, The MR Research Centre, Aarhus University, 8200 Aarhus, Denmark
| | - Olav M Andersen
- Department of Biomedicine, Aarhus University, 8200 Aarhus, Denmark
| | - Christoffer Laustsen
- Department of Clinical Medicine, The MR Research Centre, Aarhus University, 8200 Aarhus, Denmark
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Wodtke P, Grashei M, Schilling F. Quo Vadis Hyperpolarized 13C MRI? Z Med Phys 2023:S0939-3889(23)00120-4. [PMID: 38160135 DOI: 10.1016/j.zemedi.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024]
Abstract
Over the last two decades, hyperpolarized 13C MRI has gained significance in both preclinical and clinical studies, hereby relying on technologies like PHIP-SAH (ParaHydrogen-Induced Polarization-Side Arm Hydrogenation), SABRE (Signal Amplification by Reversible Exchange), and dDNP (dissolution Dynamic Nuclear Polarization), with dDNP being applied in humans. A clinical dDNP polarizer has enabled studies across 24 sites, despite challenges like high cost and slow polarization. Parahydrogen-based techniques like SABRE and PHIP offer faster, more cost-efficient alternatives but require molecule-specific optimization. The focus has been on imaging metabolism of hyperpolarized probes, which requires long T1, high polarization and rapid contrast generation. Efforts to establish novel probes, improve acquisition techniques and enhance data analysis methods including artificial intelligence are ongoing. Potential clinical value of hyperpolarized 13C MRI was demonstrated primarily for treatment response assessment in oncology, but also in cardiology, nephrology, hepatology and CNS characterization. In this review on biomedical hyperpolarized 13C MRI, we summarize important and recent advances in polarization techniques, probe development, acquisition and analysis methods as well as clinical trials. Starting from those we try to sketch a trajectory where the field of biomedical hyperpolarized 13C MRI might go.
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Affiliation(s)
- Pascal Wodtke
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge UK
| | - Martin Grashei
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of Medicine and Health, Klinikum rechts der Isar of Technical University of Munich, 81675 Munich, Germany; Munich Institute of Biomedical Engineering, Technical University of Munich, 85748 Garching, Germany; German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany.
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11
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Larson PEZ, Tang S, Liu X, Sinha A, Dwork N, Sivalokanathan S, Liu J, Bok R, Ordovas KG, Slater J, Gordon JW, Abraham MR. Regional quantification of cardiac metabolism with hyperpolarized [1- 13C]-pyruvate CMR evaluated in an oral glucose challenge. J Cardiovasc Magn Reson 2023; 25:77. [PMID: 38093285 PMCID: PMC10720165 DOI: 10.1186/s12968-023-00972-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 10/19/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND The heart has metabolic flexibility, which is influenced by fed/fasting states, and pathologies such as myocardial ischemia and hypertrophic cardiomyopathy (HCM). Hyperpolarized (HP) 13C-pyruvate MRI is a promising new tool for non-invasive quantification of myocardial glycolytic and Krebs cycle flux. However, human studies of HP 13C-MRI have yet to demonstrate regional quantification of metabolism, which is important in regional ischemia and HCM patients with asymmetric septal/apical hypertrophy. METHODS We developed and applied methods for whole-heart imaging of 13C-pyruvate, 13C-lactate and 13C-bicarbonate, following intravenous administration of [1-13C]-pyruvate. The image acquisition used an autonomous scanning method including bolus tracking, real-time magnetic field calibrations and metabolite-specific imaging. For quantification of metabolism, we evaluated 13C metabolite images, ratio metrics, and pharmacokinetic modeling to provide measurements of myocardial lactate dehydrogenase (LDH) and pyruvate dehydrogenase (PDH) mediated metabolic conversion in 5 healthy volunteers (fasting & 30 min following oral glucose load). RESULTS We demonstrate whole heart coverage for dynamic measurement of pyruvate-to-lactate conversion via LDH and pyruvate-to-bicarbonate conversion via PDH at a resolution of 6 × 6 × 21 mm3 (13C-pyruvate) and 12 × 12 × 21 mm3 (13C-lactate, 13C-bicarbonate). 13C-pyruvate and 13C-lactate were detected simultaneously in the RV blood pool, immediately after intravenous injection, reflecting LDH activity in blood. In healthy volunteers, myocardial 13C-pyruvate-SNR, 13C-lactate-SNR, 13C-bicarbonate-SNR, 13C-lactate/pyruvate ratio, 13C-pyruvate-to-lactate conversion rate, kPL, and 13C-pyruvate-to-bicarbonate conversion rate, kPB, all had statistically significant increases following oral glucose challenge. kPB, reflecting PDH activity and pyruvate entering the Krebs Cycle, had the highest correlation with blood glucose levels and was statistically significant. CONCLUSIONS We demonstrate first-in-human regional quantifications of cardiac metabolism by HP 13C-pyruvate MRI that aims to reflect LDH and PDH activity.
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Affiliation(s)
- Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA.
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, CA, USA.
| | - Shuyu Tang
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, CA, USA
- Vista.ai, Palo Alto, CA, USA
| | - Xiaoxi Liu
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
| | - Avantika Sinha
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
| | - Nicholas Dwork
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
- Departments of Bioinformatics and Radiology, University of Colorado School of Medicine, Denver, CO, USA
| | - Sanjay Sivalokanathan
- Division of Internal Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jing Liu
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
| | - Karen G Ordovas
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - James Slater
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of CA-San Francisco, 1700 4th Street, Byers Hall Room 102C, San Francisco, CA, 94143, USA
| | - M Roselle Abraham
- Cardiology Division, Department of Medicine, University of California-San Francisco, San Francisco, CA, USA
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12
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Larson PE, Bernard JM, Bankson JA, Bøgh N, Bok RA, Chen AP, Cunningham CH, Gordon J, Hövener JB, Laustsen C, Mayer D, McLean MA, Schilling F, Slater J, Vanderheyden JL, von Morze C, Vigneron DB, Xu D, Group THCMC. Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies. ARXIV 2023:arXiv:2309.04040v2. [PMID: 37731660 PMCID: PMC10508833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of hyperpolarized agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate - by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C-pyruvate preparation, (2) MRI system setup and calibrations, (3) data acquisition and image reconstruction, and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the HP 13C MRI Consensus Group as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods & Equipment study groups. It further aims to provide a comprehensive reference for future consensus building as the field continues to advance human studies with this metabolic imaging modality.
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13
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Chowdhury R, Moorthy M, Smith L, Mueller CA, Gong F, Rogers HJ, Papoutsaki MV, Syer T, Brembilla G, Singh S, Retter A, Parry T, Clemente J, Caselton L, Jeraj H, Bullock M, Mathew M, Chung TT, Akker S, Chapple P, Salsbury GA, Bainbridge A, Atkinson D, Gadian DG, Srirangalingam U, Punwani S. First-in-human in-vivo depiction of paraganglioma metabolism by hyperpolarised 13C-magnetic resonance. BJR Case Rep 2023; 9:20220089. [PMID: 37928705 PMCID: PMC10621573 DOI: 10.1259/bjrcr.20220089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/31/2023] [Accepted: 08/10/2023] [Indexed: 11/07/2023] Open
Abstract
Phaeochromocytomas (PCC) and paragangliomas (PGL), cumulatively referred to as PPGLs, are neuroendocrine tumours arising from neural crest-derived cells in the sympathetic and parasympathetic nervous systems. Predicting future tumour behaviour and the likelihood of metastatic disease remains problematic as genotype-phenotype correlations are limited, the disease has variable penetrance and, to date, no reliable molecular, cellular or histological markers have emerged. Tumour metabolism quantification can be considered as a method to delineating tumour aggressiveness by utilising hyperpolarised 13 C-MR (HP-MR). The technique may provide an opportunity to non-invasively characterise disease behaviour. Here, we present the first instance of the analysis of PPGL metabolism via HP-MR in a single case.
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Affiliation(s)
- Rafat Chowdhury
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Myuri Moorthy
- Department of Endocrinology, University College London Hospital, London, UK
| | - Lorna Smith
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | | | - Fiona Gong
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Harriet J Rogers
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | | | - Tom Syer
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Giorgio Brembilla
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Saurabh Singh
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Adam Retter
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Thomas Parry
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Joey Clemente
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Lucy Caselton
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Hassan Jeraj
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Max Bullock
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Manju Mathew
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Teng Teng Chung
- Department of Endocrinology, University College London Hospital, London, UK
| | - Scott Akker
- Department of Endocrinology, St Bartholomew’s Hospital, London, UK
| | - Paul Chapple
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Grace A Salsbury
- Department of Endocrinology, University College London Hospital, London, UK
| | - Alan Bainbridge
- Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, UK
| | - David Atkinson
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - David G Gadian
- UCL Great Ormond Street Institute of Child Health, London, UK
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Larson PEZ, Tang S, Liu X, Sinha A, Dwork N, Sivalokanathan S, Liu J, Bok R, Ordovas KG, Slater J, Gordon JW, Abraham MR. Regional quantification of cardiac metabolism with hyperpolarized [1- 13C]-pyruvate MRI evaluated in an oral glucose challenge. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.16.23297052. [PMID: 37904936 PMCID: PMC10615005 DOI: 10.1101/2023.10.16.23297052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Background The heart has metabolic flexibility, which is influenced by fed/fasting states, and pathologies such as myocardial ischemia and hypertrophic cardiomyopathy (HCM). Hyperpolarized (HP) 13C-pyruvate MRI is a promising new tool for non-invasive quantification of myocardial glycolytic and Krebs cycle flux. However, human studies of HP 13C-MRI have yet to demonstrate regional quantification of metabolism, which is important in regional ischemia and HCM patients with asymmetric septal/apical hypertrophy. Methods We developed and applied methods for whole-heart imaging of 13C-pyruvate, 13C-lactate and 13C-bicarbonate, following intravenous administration of [1-13C]-pyruvate. The image acquisition used an autonomous scanning method including bolus tracking, real-time magnetic field calibrations and metabolite-specific imaging. For quantification of metabolism, we evaluated 13C metabolite images, ratio metrics, and pharmacokinetic modeling to provide measurements of myocardial lactate dehydrogenase (LDH) and pyruvate dehydrogenase (PDH) mediated metabolic conversion in 5 healthy volunteers (fasting & 30 min following oral glucose load). Results We demonstrate whole heart coverage for dynamic measurement of pyruvate-to-lactate conversion via LDH and pyruvate-to-bicarbonate conversion via PDH at a resolution of 6×6×21 mm3 (13C-pyruvate) and 12×12×21 mm3 (13C-lactate, 13C-bicarbonate) . 13C-pyruvate and 13C-lactate were detected simultaneously in the RV blood pool, immediately after intravenous injection, reflecting LDH activity in blood. In healthy volunteers, myocardial 13C-pyruvate-SNR, 13C-lactate-SNR, 13C-bicarbonate-SNR, 13C-lactate/pyruvate ratio, 13C-pyruvate-to-lactate conversion rate, kPL, and 13C-pyruvate-to-bicarbonate conversion rate, kPB, all had statistically significant increases following oral glucose challenge. kPB, reflecting PDH activity and pyruvate entering the Krebs Cycle, had the highest correlation with blood glucose levels and was statistically significant. Conclusions We demonstrate first-in-human regional quantifications of cardiac metabolism by HP 13C-pyruvate MRI that aims to reflect LDH and PDH activity.
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Affiliation(s)
- Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California, USA
| | - Shuyu Tang
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California, USA
- Vista.ai, Palo Alto, CA, USA
| | - Xiaoxi Liu
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Avantika Sinha
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Nicholas Dwork
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
- Departments of Bioinformatics and Radiology, University of Colorado School of Medicine, Denver, CO, USA
| | - Sanjay Sivalokanathan
- Department of Medicine - Division of Internal Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jing Liu
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Karen G Ordovas
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - James Slater
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA
| | - M Roselle Abraham
- Department of Medicine - Cardiology Division, University of California - San Francisco, San Francisco, California, USA
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15
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Nagel L, Gierse M, Gottwald W, Ahmadova Z, Grashei M, Wolff P, Josten F, Karaali S, Müller CA, Lucas S, Scheuer J, Müller C, Blanchard J, Topping GJ, Wendlinger A, Setzer N, Sühnel S, Handwerker J, Vassiliou C, van Heijster FH, Knecht S, Keim M, Schilling F, Schwartz I. Parahydrogen-Polarized [1- 13 C]Pyruvate for Reliable and Fast Preclinical Metabolic Magnetic Resonance Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303441. [PMID: 37587776 PMCID: PMC10602543 DOI: 10.1002/advs.202303441] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/17/2023] [Indexed: 08/18/2023]
Abstract
Hyperpolarization techniques increase nuclear spin polarization by more than four orders of magnitude, enabling metabolic MRI. Even though hyperpolarization has shown clear value in clinical studies, the complexity, cost and slowness of current equipment limits its widespread use. Here, a polarization procedure of [1-13 C]pyruvate based on parahydrogen-induced polarization by side-arm hydrogenation (PHIP-SAH) in an automated polarizer is demonstrated. It is benchmarked in a study with 48 animals against a commercial dissolution dynamic nuclear polarization (d-DNP) device. Purified, concentrated (≈70-160 mM) and highly hyperpolarized (≈18%) solutions of pyruvate are obtained at physiological pH for volumes up to 2 mL within 85 s in an automated process. The safety profile, image quality, as well as the quantitative perfusion and lactate-to-pyruvate ratios, are equivalent for PHIP and d-DNP, rendering PHIP a viable alternative to established hyperpolarization techniques.
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Affiliation(s)
- Luca Nagel
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | | | - Wolfgang Gottwald
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | | | - Martin Grashei
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | - Pascal Wolff
- NVision Imaging Technologies GmbH89081UlmGermany
| | - Felix Josten
- NVision Imaging Technologies GmbH89081UlmGermany
| | | | | | | | | | | | | | - Geoffrey J. Topping
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | - Andre Wendlinger
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | - Nadine Setzer
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | - Sandra Sühnel
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | | | | | - Frits H.A. van Heijster
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
| | | | - Michael Keim
- NVision Imaging Technologies GmbH89081UlmGermany
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of MedicineKlinikum rechts der Isar of Technical University of Munich81675MunichGermany
- Munich Institute of Biomedical EngineeringTechnical University of Munich85748GarchingGermany
- German Cancer Consortium (DKTK)Partner Site Munich and German Cancer Research Center (DKFZ)Im Neuenheimer Feld 28069120HeidelbergGermany
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Choi YS, Song JE, Kim E, Kim CH, Lee JE, Song HT. Hyperpolarized [1- 13C]pyruvate Magnetic Resonance Spectroscopy Shows That Agmatine Increased Lactate Production in the Brain of Type 2 Diabetic Mice. Yonsei Med J 2023; 64:625-632. [PMID: 37727922 PMCID: PMC10522877 DOI: 10.3349/ymj.2022.0554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 07/19/2023] [Accepted: 07/27/2023] [Indexed: 09/21/2023] Open
Abstract
PURPOSE Type 2 diabetes mellitus (T2DM) is associated with a 2-fold increased risk of developing Alzheimer's disease. In earlier research, agmatine has been demonstrated to alleviate diabetes symptoms and increase cognitive performance. However, it is unclear whether the improvement of cognitive function is attributable to the reduction of diabetic symptoms or its direct influence on brain metabolism. Using hyperpolarized (HP) [1-13C]pyruvate magnetic resonance spectroscopy (MRS), this study intends to evaluate the influence of agmatine on brain metabolism. MATERIALS AND METHODS ICR mice were fed a high-fat diet and injected with streptozotocin to develop a T2DM animal model. During a 2-week period, T2DM mice were treated with normal saline or 100 mg/kg of agmatine, and brain HP [1-13C]pyruvate MRS was performed. The effect of agmatine on lactate generation and NADH/NAD+ redox state was investigated using C6 and neuro-2a (N2a) cells. RESULTS As a perfusion marker, the total 13C signals in the brain of T2DM mice (p=0.07) and agmatine-treated mice (p<0.05) were reduced. The conversion constant (Kpl) from [1-13C]pyruvate to [1-13C]lactate was not distinguishable in the brains of T2DM mice but was significantly increased in the brains of agmatine-treated T2DM mice. Treating C6 and N2a cells with agmatine increased NADH/NAD+ratio and lactate generation. CONCLUSION Agmatine influences the NADH/NAD+ redox state in the brains of T2DM mice, which may be connected with enhanced cognitive performance and increased conversion of HP [1-13C]pyruvate to HP [1-13C]lactate.
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Affiliation(s)
- Young-Suk Choi
- Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Jae Eun Song
- Department of Radiology, Stanford University, Palo Alto, CA, USA
- Promaxo Inc., Oakland, CA, USA
| | - Eosu Kim
- Department of Psychiatry, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Chul Hoon Kim
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, Korea
- BK21 PLUS Project for Medical Sciences and Brain Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Eun Lee
- BK21 PLUS Project for Medical Sciences and Brain Research Institute, Yonsei University College of Medicine, Seoul, Korea
- Department of Anatomy and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.
| | - Ho-Taek Song
- Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.
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17
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Skinner JG, Topping GJ, Nagel L, Heid I, Hundshammer C, Grashei M, van Heijster FHA, Braren R, Schilling F. Spectrally selective bSSFP using off-resonant RF excitations permits high spatiotemporal resolution 3D metabolic imaging of hyperpolarized [1- 13 C]Pyruvate-to-[1- 13 C]lactate conversion. Magn Reson Med 2023. [PMID: 37093981 DOI: 10.1002/mrm.29676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/24/2023] [Accepted: 04/03/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE To develop a high spatiotemporal resolution 3D dynamic pulse sequence for preclinical imaging of hyperpolarized [1-13 C]pyruvate-to-[1-13 C]lactate metabolism at 7T. METHODS A standard 3D balanced SSFP (bSSFP) sequence was modified to enable alternating-frequency excitations. RF pulses with 2.33 ms duration and 900 Hz FWHM were placed off-resonance of the target metabolites, [1-13 C]pyruvate (by approximately -245 Hz) and [1-13 C]lactate (by approximately 735 Hz), to selectively excite those resonances. Relatively broad bandwidth (compared to those metabolites' chemical shift offset) permits a short TR of 6.29 ms, enabling higher spatiotemporal resolution. Bloch equation simulations of the bSSFP response profile guided the sequence parameter selection to minimize spectral contamination between metabolites and preserve magnetization over time. RESULTS Bloch equation simulations, phantom studies, and in vivo studies demonstrated that the two target resonances could be cleanly imaged without substantial bSSFP banding artifacts and with little spectral contamination between lactate and pyruvate and from pyruvate hydrate. High spatiotemporal resolution 3D images were acquired of in vivo pyruvate-lactate metabolism in healthy wild-type and endogenous pancreatic tumor-bearing mice, with 1.212 s acquisition time per single-metabolite image and (1.75 mm)3 isotropic voxels with full mouse abdomen 56 × 28 × 21 mm3 FOV and fully-sampled k-space. Kidney and tumor lactate/pyruvate ratios of two consecutive measurements in one animal, 1 h apart, were consistent. CONCLUSION Spectrally selective bSSFP using off-resonant RF excitations can provide high spatio-temporal resolution 3D dynamic images of pyruvate-lactate metabolic conversion.
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Affiliation(s)
- Jason G Skinner
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Geoffrey J Topping
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Luca Nagel
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Irina Heid
- Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Martin Grashei
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Frits H A van Heijster
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rickmer Braren
- Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Munich Institute of Biomedical Engineering, Technical University of Munich, Munich, Germany
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18
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Sejersen S, Rasmussen CW, Bøgh N, Kjaergaard U, Hansen ESS, Schulte RF, Laustsen C. Considering whole-body metabolism in hyperpolarized MRI through 13 C breath analysis-An alternative way to quantification and normalization? Magn Reson Med 2023; 90:664-672. [PMID: 37094025 DOI: 10.1002/mrm.29669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/12/2023] [Accepted: 03/27/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE Hyperpolarized [1-13 C]pyruvate MRI is an emerging clinical tool for metabolic imaging. It has the potential for absolute quantitative metabolic imaging. However, the method itself is not quantitative, limiting comparison of images across both time and between individuals. Here, we propose a simple signal normalization to the whole-body oxidative metabolism to overcome this limitation. THEORY AND METHODS A simple extension of the model-free ratiometric analysis of hyperpolarized [1-13 C]pyruvate MRI is presented, using the expired 13 CO2 in breath for normalization. The proposed framework was investigated in two porcine cohorts (N = 11) subjected to local renal hypoperfusion defects and subsequent [1-13 C]pyruvate MRI. A breath sample was taken before the [1-13 C]pyruvate injection and 5 min after. The raw MR signal from both the healthy and intervened kidney in the two cohorts was normalized using the 13 CO2 in the expired air. RESULTS 13 CO2 content in the expired air was significantly different between the two cohorts. Normalization to this reduced the coefficients of variance in the aerobic metabolic sensitive pathways by 25% for the alanine/pyruvate ratio, and numerical changes were observed in the bicarbonate/pyruvate ratio. The lactate/pyruvate ratio was largely unaltered (<2%). CONCLUSION Our results indicate that normalizing the hyperpolarized 13 C-signal ratios by the 13 CO2 content in expired air can reduce variation as well as improve specificity of the method by normalizing the metabolic readout to the overall metabolic status of the individual. The method is a simple and cheap extension to the hyperpolarized 13 C exam.
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Affiliation(s)
- Steffen Sejersen
- The MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Camilla W Rasmussen
- The MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Nikolaj Bøgh
- The MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Uffe Kjaergaard
- The MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Esben S S Hansen
- The MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Christoffer Laustsen
- The MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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19
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Heid I, Münch C, Karakaya S, Lueong SS, Winkelkotte AM, Liffers ST, Godfrey L, Cheung PFY, Savvatakis K, Topping GJ, Englert F, Kritzner L, Grashei M, Tannapfel A, Viebahn R, Wolters H, Uhl W, Vangala D, Smeets EMM, Aarntzen EHJG, Rauh D, Weichert W, Hoheisel JD, Hahn SA, Schilling F, Braren R, Trajkovic-Arsic M, Siveke JT. Functional noninvasive detection of glycolytic pancreatic ductal adenocarcinoma. Cancer Metab 2022; 10:24. [PMID: 36494842 PMCID: PMC9737747 DOI: 10.1186/s40170-022-00298-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) lacks effective treatment options beyond chemotherapy. Although molecular subtypes such as classical and QM (quasi-mesenchymal)/basal-like with transcriptome-based distinct signatures have been identified, deduced therapeutic strategies and targets remain elusive. Gene expression data show enrichment of glycolytic genes in the more aggressive and therapy-resistant QM subtype. However, whether the glycolytic transcripts are translated into functional glycolysis that could further be explored for metabolic targeting in QM subtype is still not known. METHODS We used different patient-derived PDAC model systems (conventional and primary patient-derived cells, patient-derived xenografts (PDX), and patient samples) and performed transcriptional and functional metabolic analysis. These included RNAseq and Illumina HT12 bead array, in vitro Seahorse metabolic flux assays and metabolic drug targeting, and in vivo hyperpolarized [1-13C]pyruvate and [1-13C]lactate magnetic resonance spectroscopy (HP-MRS) in PDAC xenografts. RESULTS We found that glycolytic metabolic dependencies are not unambiguously functionally exposed in all QM PDACs. Metabolic analysis demonstrated functional metabolic heterogeneity in patient-derived primary cells and less so in conventional cell lines independent of molecular subtype. Importantly, we observed that the glycolytic product lactate is actively imported into the PDAC cells and used in mitochondrial oxidation in both classical and QM PDAC cells, although more actively in the QM cell lines. By using HP-MRS, we were able to noninvasively identify highly glycolytic PDAC xenografts by detecting the last glycolytic enzymatic step and prominent intra-tumoral [1-13C]pyruvate and [1-13C]lactate interconversion in vivo. CONCLUSION Our study adds functional metabolic phenotyping to transcriptome-based analysis and proposes a functional approach to identify highly glycolytic PDACs as candidates for antimetabolic therapeutic avenues.
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Affiliation(s)
- Irina Heid
- grid.6936.a0000000123222966Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Corinna Münch
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Sinan Karakaya
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Smiths S. Lueong
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Alina M. Winkelkotte
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
| | - Sven T. Liffers
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Laura Godfrey
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Phyllis F. Y. Cheung
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Konstantinos Savvatakis
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Geoffrey J. Topping
- grid.6936.a0000000123222966Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Florian Englert
- grid.6936.a0000000123222966Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Lukas Kritzner
- grid.6936.a0000000123222966Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Martin Grashei
- grid.6936.a0000000123222966Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Andrea Tannapfel
- grid.5570.70000 0004 0490 981XInstitute of Pathology, Ruhr University of Bochum, Bochum, Germany
| | - Richard Viebahn
- grid.5570.70000 0004 0490 981XDepartment of Surgery, Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany
| | - Heiner Wolters
- grid.416438.cDepartment of Visceral and General Surgery, St. Josef-Hospital, Dortmund, Germany
| | - Waldemar Uhl
- grid.416438.cClinic for General and Visceral Surgery, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Deepak Vangala
- grid.5570.70000 0004 0490 981XDepartment of Medicine, Ruhr University Bochum, University Hospital Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany
| | - Esther M. M. Smeets
- grid.10417.330000 0004 0444 9382Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Erik H. J. G. Aarntzen
- grid.10417.330000 0004 0444 9382Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Daniel Rauh
- grid.5675.10000 0001 0416 9637Faculty of Chemistry and Chemical Biology, TU Dortmund University, Dortmund, Germany ,Drug Discovery Hub Dortmund (DDHD) Am Zentrum Für Integrierte Wirkstoffforschung (ZIW), Dortmund, Germany
| | - Wilko Weichert
- grid.6936.a0000000123222966Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany ,Comprehensive Cancer Center Munich (CCCM), Munich, Germany
| | - Jörg D. Hoheisel
- grid.7497.d0000 0004 0492 0584Division of Functional Genome Analysis, German Cancer Research Center, DKFZ, Heidelberg, Germany
| | - Stephan A. Hahn
- grid.5570.70000 0004 0490 981XDepartment of Molecular GI Oncology, Faculty of Medicine, Ruhr University Bochum, 44780 Bochum, Germany
| | - Franz Schilling
- grid.6936.a0000000123222966Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rickmer Braren
- grid.6936.a0000000123222966Institute of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Marija Trajkovic-Arsic
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Jens T. Siveke
- grid.5718.b0000 0001 2187 5445West German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany ,grid.7497.d0000 0004 0492 0584Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
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20
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Fuetterer M, Traechtler J, Busch J, Peereboom SM, Dounas A, Manka R, Weisskopf M, Cesarovic N, Stoeck CT, Kozerke S. Hyperpolarized Metabolic and Parametric CMR Imaging of Longitudinal Metabolic-Structural Changes in Experimental Chronic Infarction. JACC Cardiovasc Imaging 2022; 15:2051-2064. [PMID: 36481073 DOI: 10.1016/j.jcmg.2022.08.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/10/2022] [Accepted: 08/24/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Prolonged ischemia and myocardial infarction are followed by a series of dynamic processes that determine the fate of the affected myocardium toward recovery or necrosis. Metabolic adaptions are considered to play a vital role in the recovery of salvageable myocardium in the context of stunned and hibernating myocardium. OBJECTIVES The potential of hyperpolarized pyruvate cardiac magnetic resonance (CMR) alongside functional and parametric CMR as a tool to study the complex metabolic-structural interplay in a longitudinal study of chronic myocardial infarction in an experimental pig model is investigated. METHODS Metabolic imaging using hyperpolarized [1-13C] pyruvate and proton-based CMR including cine, T1/T2 relaxometry, dynamic contrast-enhanced, and late gadolinium enhanced imaging were performed on clinical 3.0-T and 1.5-T MR systems before infarction and at 6 days and 5 and 9 weeks postinfarction in a longitudinal study design. Chronic myocardial infarction in pigs was induced using catheter-based occlusion and compared with healthy controls. RESULTS Metabolic image data revealed temporarily elevated lactate-to-bicarbonate ratios at day 6 in the infarcted relative to remote myocardium. The temporal changes of lactate-to-bicarbonate ratios were found to correlate with changes in T2 and impaired local contractility. Assessment of pyruvate dehydrogenase flux via the hyperpolarized [13C] bicarbonate signal revealed recovery of aerobic cellular respiration in the hibernating myocardium, which correlated with recovery of local radial strain. CONCLUSIONS This study demonstrates the potential of hyperpolarized CMR to longitudinally detect metabolic changes after cardiac infarction over days to weeks. Viable myocardium in the area at risk was identified based on restored pyruvate dehydrogenase flux.
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Affiliation(s)
- Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Julia Traechtler
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Julia Busch
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | | | - Andreas Dounas
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Robert Manka
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Miriam Weisskopf
- Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland
| | - Nikola Cesarovic
- Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland; Institute of Translational Cardiovascular Technologies, ETH Zurich, Zurich, Switzerland
| | - Christian Torben Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland; Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
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21
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Dou Q, Grant AK, Callahan C, Coutinho de Souza P, Mwin D, Booth AL, Nasser I, Moussa M, Ahmed M, Tsai LL. PFKFB3-mediated Pro-glycolytic Shift in Hepatocellular Carcinoma Proliferation. Cell Mol Gastroenterol Hepatol 2022; 15:61-75. [PMID: 36162723 PMCID: PMC9672450 DOI: 10.1016/j.jcmgh.2022.09.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/07/2022] [Accepted: 09/15/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Metabolic reprogramming, in particular, glycolytic regulation, supports abnormal survival and growth of hepatocellular carcinoma (HCC) and could serve as a therapeutic target. In this study, we sought to identify glycolytic regulators in HCC that could be inhibited to prevent tumor progression and could also be monitored in vivo, with the goal of providing a theragnostic alternative to existing therapies. METHODS An orthotopic HCC rat model was used. Tumors were stimulated into a high-proliferation state by use of off-target liver ablation and were compared with lower-proliferating controls. We measured in vivo metabolic alteration in tumors before and after stimulation, and between stimulated tumors and control tumors using hyperpolarized 13C magnetic resonance imaging (MRI) (h13C MRI). We compared metabolic alterations detected by h13C MRI to metabolite levels from ex vivo mass spectrometry, mRNA levels of key glycolytic regulators, and histopathology. RESULTS Glycolytic lactate flux increased within HCC tumors 3 days after tumor stimulation, correlating positively with tumor proliferation as measured with Ki67. This was associated with a shift towards aerobic glycolysis and downregulation of the pentose phosphate pathway detected by mass spectrometry. MRI-measured lactate flux was most closely coupled with PFKFB3 expression and was suppressed with direct inhibition using PFK15. CONCLUSIONS Inhibition of PFKFB3 prevents glycolytic-mediated HCC proliferation, trackable by in vivo h13C MRI.
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Affiliation(s)
- Qianhui Dou
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Aaron K Grant
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Cody Callahan
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Patricia Coutinho de Souza
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - David Mwin
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Adam L Booth
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Imad Nasser
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Marwan Moussa
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Muneeb Ahmed
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Leo L Tsai
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
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22
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Hansen K, Hansen ESS, Jespersen NRV, Bøtker HE, Pedersen M, Wang T, Laustsen C. Hyperpolarized
13
C
MRI Reveals Large Changes in Pyruvate Metabolism During Digestion in Snakes. Magn Reson Med 2022; 88:890-900. [PMID: 35426467 PMCID: PMC9321735 DOI: 10.1002/mrm.29239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 01/31/2022] [Accepted: 02/25/2022] [Indexed: 11/05/2022]
Abstract
Purpose Methods Results Conclusion
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Affiliation(s)
- Kasper Hansen
- Comparative Medicine Lab, Department of Clinical Medicine Aarhus University Aarhus Denmark
- Zoophysiology, Department of Biology Aarhus University Aarhus Denmark
- Department of Forensic Medicine Aarhus University Aarhus Denmark
| | | | | | - Hans Erik Bøtker
- Cardiology, Department of Clinical Medicine Aarhus University Aarhus Denmark
| | - Michael Pedersen
- Comparative Medicine Lab, Department of Clinical Medicine Aarhus University Aarhus Denmark
| | - Tobias Wang
- Zoophysiology, Department of Biology Aarhus University Aarhus Denmark
| | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine Aarhus University Aarhus Denmark
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23
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Staehr C, Rohde PD, Krarup NT, Ringgaard S, Laustsen C, Johnsen J, Nielsen R, Beck HC, Morth JP, Lykke‐Hartmann K, Jespersen NR, Abramochkin D, Nyegaard M, Bøtker HE, Aalkjaer C, Matchkov V. Migraine-Associated Mutation in the Na,K-ATPase Leads to Disturbances in Cardiac Metabolism and Reduced Cardiac Function. J Am Heart Assoc 2022; 11:e021814. [PMID: 35289188 PMCID: PMC9075430 DOI: 10.1161/jaha.121.021814] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 12/21/2021] [Indexed: 12/24/2022]
Abstract
Background Mutations in ATP1A2 gene encoding the Na,K-ATPase α2 isoform are associated with familial hemiplegic migraine type 2. Migraine with aura is a known risk factor for heart disease. The Na,K-ATPase is important for cardiac function, but its role for heart disease remains unknown. We hypothesized that ATP1A2 is a susceptibility gene for heart disease and aimed to assess the underlying disease mechanism. Methods and Results Mice heterozygous for the familial hemiplegic migraine type 2-associated G301R mutation in the Atp1a2 gene (α2+/G301R mice) and matching wild-type controls were compared. Reduced expression of the Na,K-ATPase α2 isoform and increased expression of the α1 isoform were observed in hearts from α2+/G301R mice (Western blot). Left ventricular dilation and reduced ejection fraction were shown in hearts from 8-month-old α2+/G301R mice (cardiac magnetic resonance imaging), and this was associated with reduced nocturnal blood pressure (radiotelemetry). Cardiac function and blood pressure of 3-month-old α2+/G301R mice were similar to wild-type mice. Amplified Na,K-ATPase-dependent Src kinase/Ras/Erk1/2 (p44/42 mitogen-activated protein kinase) signaling was observed in hearts from 8-month-old α2+/G301R mice, and this was associated with mitochondrial uncoupling (respirometry), increased oxidative stress (malondialdehyde measurements), and a heart failure-associated metabolic shift (hyperpolarized magnetic resonance). Mitochondrial membrane potential (5,5´,6,6´-tetrachloro-1,1´,3,3´-tetraethylbenzimidazolocarbocyanine iodide dye assay) and mitochondrial ultrastructure (transmission electron microscopy) were similar between the groups. Proteomics of heart tissue further suggested amplified Src/Ras/Erk1/2 signaling and increased oxidative stress and provided the molecular basis for systolic dysfunction in 8-month-old α2+/G301R mice. Conclusions Our findings suggest that ATP1A2 mutation leads to disturbed cardiac metabolism and reduced cardiac function mediated via Na,K-ATPase-dependent reactive oxygen species signaling through the Src/Ras/Erk1/2 pathway.
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Affiliation(s)
| | - Palle Duun Rohde
- Department of Chemistry and BioscienceAalborg UniversityAalborgDenmark
| | | | - Steffen Ringgaard
- MR Research CentreDepartment of Clinical MedicineAarhus UniversityAarhusDenmark
| | | | - Jacob Johnsen
- Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Rikke Nielsen
- Department of Biomedicine, HealthAarhus UniversityAarhusDenmark
| | - Hans Christian Beck
- Department for Clinical Biochemistry and PharmacologyOdense University HospitalOdenseDenmark
| | - Jens Preben Morth
- Department of Biotechnology and BiomedicineTechnical University of DenmarkKgs. LyngbyDenmark
| | - Karin Lykke‐Hartmann
- Department of Biomedicine, HealthAarhus UniversityAarhusDenmark
- Department of Clinical MedicineAarhus UniversityAarhusDenmark
- Department of Clinical GeneticsAarhus University HospitalAarhusDenmark
| | | | - Denis Abramochkin
- Department of Human and Animal PhysiologyBiological FacultyLomonosov Moscow State UniversityMoscowRussia
| | - Mette Nyegaard
- Department of Biomedicine, HealthAarhus UniversityAarhusDenmark
- Department of Health Science and TechnologyAalborg UniversityAalborgDenmark
| | | | - Christian Aalkjaer
- Department of Biomedicine, HealthAarhus UniversityAarhusDenmark
- Department of Biomedical SciencesCopenhagen UniversityCopenhagenDenmark
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24
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Initial Experience on Hyperpolarized [1-13C]Pyruvate MRI Multicenter Reproducibility—Are Multicenter Trials Feasible? Tomography 2022; 8:585-595. [PMID: 35314625 PMCID: PMC8938827 DOI: 10.3390/tomography8020048] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 12/31/2022] Open
Abstract
Background: Magnetic resonance imaging (MRI) with hyperpolarized [1-13C]pyruvate allows real-time and pathway specific clinical detection of otherwise unimageable in vivo metabolism. However, the comparability between sites and protocols is unknown. Here, we provide initial experiences on the agreement of hyperpolarized MRI between sites and protocols by repeated imaging of same healthy volunteers in Europe and the US. Methods: Three healthy volunteers traveled for repeated multicenter brain MRI exams with hyperpolarized [1-13C]pyruvate within one year. First, multisite agreement was assessed with the same echo-planar imaging protocol at both sites. Then, this was compared to a variable resolution echo-planar imaging protocol. In total, 12 examinations were performed. Common metrics of 13C-pyruvate to 13C-lactate conversion were calculated, including the kPL, a model-based kinetic rate constant, and its model-free equivalents. Repeatability was evaluated with intraclass correlation coefficients (ICC) for absolute agreement computed using two-way random effects models. Results: The mean kPL across all examinations in the multisite comparison was 0.024 ± 0.0016 s−1. The ICC of the kPL was 0.83 (p = 0.14) between sites and 0.7 (p = 0.09) between examinations of the same volunteer at any of the two sites. For the model-free metrics, the lactate Z-score had similar site-to-site ICC, while it was considerably lower for the lactate-to-pyruvate ratio. Conclusions: Estimation of metabolic conversion from hyperpolarized [1-13C]pyruvate to lactate using model-based metrics such as kPL suggests close agreement between sites and examinations in volunteers. Our initial results support harmonization of protocols, support multicenter studies, and inform their design.
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25
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Ros S, Wright AJ, Bruna A, Caldas C, Brindle KM. Metabolic imaging with hyperpolarized [1- 13C] pyruvate in patient-derived preclinical mouse models of breast cancer. STAR Protoc 2021; 2:100608. [PMID: 34189473 PMCID: PMC8220404 DOI: 10.1016/j.xpro.2021.100608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
13C nuclear spin hyperpolarization can increase the sensitivity of detection in an MRI experiment by more than 10,000-fold. 13C magnetic resonance spectroscopic imaging (MRSI) of hyperpolarized 13C label exchange between injected [1-13C]pyruvate and the endogenous tumor lactate pool can be used clinically to assess tumor grade and response to treatment. We describe here an experimental protocol for using this technique in patient-derived and established cell line xenograft models of breast cancer in the mouse. For complete details on the use and execution of this protocol, please refer to Ros et al. (2020).
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Affiliation(s)
- Susana Ros
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Alan J. Wright
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Alejandra Bruna
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Kevin M. Brindle
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
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Varma G, Seth P, de Souza PC, Callahan C, Pinto J, Vaidya M, Sonzogni O, Sukhatme V, Wulf GM, Grant AK. Visualizing the effects of lactate dehydrogenase (LDH) inhibition and LDH-A genetic ablation in breast and lung cancer with hyperpolarized pyruvate NMR. NMR IN BIOMEDICINE 2021; 34:e4560. [PMID: 34086382 PMCID: PMC8764798 DOI: 10.1002/nbm.4560] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 05/04/2021] [Accepted: 05/05/2021] [Indexed: 05/12/2023]
Abstract
In many tumors, cancer cells take up large quantities of glucose and metabolize it into lactate, even in the presence of sufficient oxygen to support oxidative metabolism. It has been hypothesized that this malignant metabolic phenotype supports cancer growth and metastasis, and that reversal of this so-called "Warburg effect" may selectively harm cancer cells. Conversion of glucose to lactate can be reduced by ablation or inhibition of lactate dehydrogenase (LDH), the enzyme responsible for conversion of pyruvate to lactate at the endpoint of glycolysis. Recently developed inhibitors of LDH provide new opportunities to investigate the role of this metabolic pathway in cancer. Here we show that magnetic resonance spectroscopic imaging of hyperpolarized pyruvate and its metabolites in models of breast and lung cancer reveal that inhibition of LDH was readily visualized through reduction in label exchange between pyruvate and lactate, while genetic ablation of the LDH-A isoform alone had smaller effects. During the acute phase of LDH inhibition in breast cancer, no discernible bicarbonate signal was observed and small signals from alanine were unchanged.
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Affiliation(s)
- Gopal Varma
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Pankaj Seth
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Patricia Coutinho de Souza
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Cody Callahan
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Jocelin Pinto
- Department of Hematology and Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Manushka Vaidya
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Department of Hematology and Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Olmo Sonzogni
- Department of Hematology and Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Vikas Sukhatme
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Gerburg M. Wulf
- Department of Hematology and Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Aaron K. Grant
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Corresponding author: Aaron K. Grant, PhD, Department of Radiology, Division of MR Research, Beth Israel Deaconess Medical Center, Harvard Medical School, AN-232, 330 Brookline Avenue, Boston, MA 02215, USA,
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27
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Choi Y, Lee J, Lee H, Song JE, Kim D, Song H. Offset of apparent hyperpolarized 13 C lactate flux by the use of adjuvant metformin in ionizing radiation therapy in vivo. NMR IN BIOMEDICINE 2021; 34:e4561. [PMID: 34080736 PMCID: PMC8365667 DOI: 10.1002/nbm.4561] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 04/30/2021] [Accepted: 04/30/2021] [Indexed: 05/13/2023]
Abstract
An increase in hyperpolarized (HP) [1-13 C]lactate production has been suggested as a biomarker for cancer occurrence as well as for response monitoring of cancer treatment. Recently, the use of metformin has been suggested as an anticancer or adjuvant treatment. By regulating the cytosolic NAD+ /NADH redox state, metformin stimulates lactate production and increases the HP [1-13 C]lactate conversion rate in the kidney, liver, and heart. In general, increased HP [1-13 C]lactate is regarded as a sign of cancer occurrence or tumor growth. Thus, the relationship between the tumor suppression effect of metformin and the change in metabolism monitored by HP [1-13 C]pyruvate MRS in cancer treatment needs to be investigated. The present study was performed using a brain metastasis animal model with MDA-MB-231(BR)-Luc breast cancer cells. HP [1-13 C]pyruvate MRS, T2 -weighted MRI, and bioluminescence imaging were performed in groups treated with metformin or adjuvant metformin and radiation therapy. Metformin treatment alone did not display a tumor suppression effect, and the HP [1-13 C]lactate conversion rate increased. In radiation therapy, the HP [1-13 C]lactate conversion rate decreased with tumor suppression, with a p-value of 0.028. In the adjuvant metformin and radiation treatment, the tumor suppression effect increased, with a p-value of 0.001. However, the apparent HP [1-13 C]lactate conversion rate (Kpl ) was observed to be offset by two opposite effects: a decrease on radiation therapy and an increase caused by metformin treatment. Although HP [1-13 C]pyruvate MRS could not evaluate the tumor suppression effect of adjuvant metformin and radiation therapy due to the offset phenomenon, metabolic changes following only metformin pre-treatment could be monitored. Therefore, our results indicate that the interpretation of HP [1-13 C]pyruvate MRS for response monitoring of cancer treatment should be carried out with caution when metformin is used as an adjuvant cancer therapy.
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Affiliation(s)
- Young‐Suk Choi
- Department of Radiology and Research Institute of Radiological ScienceYonsei University College of MedicineSeoulSouth Korea
| | - Joonsung Lee
- Biomedical Science InstituteYonsei University College of MedicineSeoulSouth Korea
- GE HealthcareSeoulSouth Korea
| | - Han‐Sol Lee
- Department of Electrical and Electronic EngineeringYonsei UniversitySeoulSouth Korea
| | - Jae Eun Song
- Department of Electrical and Electronic EngineeringYonsei UniversitySeoulSouth Korea
| | - Dong‐Hyun Kim
- Department of Electrical and Electronic EngineeringYonsei UniversitySeoulSouth Korea
| | - Ho‐Taek Song
- Department of Radiology and Research Institute of Radiological ScienceYonsei University College of MedicineSeoulSouth Korea
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28
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Eykyn T, Elliott S, Kuchel P. Extended Bloch-McConnell equations for mechanistic analysis of hyperpolarized 13C magnetic resonance experiments on enzyme systems. MAGNETIC RESONANCE (GOTTINGEN, GERMANY) 2021; 2:421-446. [PMID: 37904769 PMCID: PMC10539799 DOI: 10.5194/mr-2-421-2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 04/08/2021] [Indexed: 11/01/2023]
Abstract
We describe an approach to formulating the kinetic master equations of the time evolution of NMR signals in reacting (bio)chemical systems. Special focus is given to studies that employ signal enhancement (hyperpolarization) methods such as dissolution dynamic nuclear polarization (dDNP) and involving nuclear spin-bearing solutes that undergo reactions mediated by enzymes and membrane transport proteins. We extend the work given in a recent presentation on this topic (Kuchel and Shishmarev, 2020) to now include enzymes with two or more substrates and various enzyme reaction mechanisms as classified by Cleland, with particular reference to non-first-order processes. Using this approach, we can address some pressing questions in the field from a theoretical standpoint. For example, why does binding of a hyperpolarized substrate to an enzyme not cause an appreciable loss of the signal from the substrate or product? Why does the concentration of an unlabelled pool of substrate, for example 12 C lactate, cause an increase in the rate of exchange of the 13 C-labelled pool? To what extent is the equilibrium position of the reaction perturbed during administration of the substrate? The formalism gives a full mechanistic understanding of the time courses derived and is of relevance to ongoing clinical trials using these techniques.
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Affiliation(s)
- Thomas R. Eykyn
- School of Biomedical Engineering and Imaging Sciences, King's
College London, St Thomas' Hospital, London SE1 7EH, United Kingdom
| | - Stuart J. Elliott
- Centre de Résonance Magnétique Nucléaire à Très
Hauts Champs – FRE 2034 Université de Lyon / CNRS / Université
Claude Bernard Lyon 1 / ENS de Lyon, 5 Rue de la Doua, 69100 Villeurbanne,
France
- current address: Department of Chemistry, University of Liverpool,
Liverpool L69 7ZD, United Kingdom
| | - Philip W. Kuchel
- School of Life and Environmental Sciences, University of Sydney,
Sydney, NSW 2006, Australia
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29
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Larson PEZ, Gordon JW. Hyperpolarized Metabolic MRI-Acquisition, Reconstruction, and Analysis Methods. Metabolites 2021; 11:386. [PMID: 34198574 PMCID: PMC8231874 DOI: 10.3390/metabo11060386] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/05/2021] [Accepted: 06/08/2021] [Indexed: 01/05/2023] Open
Abstract
Hyperpolarized metabolic MRI with 13C-labeled agents has emerged as a powerful technique for in vivo assessments of real-time metabolism that can be used across scales of cells, tissue slices, animal models, and human subjects. Hyperpolarized contrast agents have unique properties compared to conventional MRI scanning and MRI contrast agents that require specialized imaging methods. Hyperpolarized contrast agents have a limited amount of available signal, irreversible decay back to thermal equilibrium, bolus injection and perfusion kinetics, cellular uptake and metabolic conversion kinetics, and frequency shifts between metabolites. This article describes state-of-the-art methods for hyperpolarized metabolic MRI, summarizing data acquisition, reconstruction, and analysis methods in order to guide the design and execution of studies.
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Affiliation(s)
- Peder Eric Zufall Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA;
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, CA 94143, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94143, USA
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA;
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30
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Perkons NR, Johnson O, Pilla G, Gade TPF. Pharmacodynamics and pharmacokinetics of hyperpolarized [1- 13 C]-pyruvate in a translational oncologic model. NMR IN BIOMEDICINE 2021; 34:e4502. [PMID: 33772910 DOI: 10.1002/nbm.4502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 02/18/2021] [Indexed: 06/12/2023]
Abstract
This study investigates the in vivo pharmacokinetics and pharmacodynamics of hyperpolarized [1-13 C]-pyruvate in a translational cancer model in order to inform the application of dynamic nuclear polarization (DNP)-enhanced magnetic resonance spectroscopic imaging (MRSI) as a tool for imaging liver cancer. Intratumoral metabolism within autochthonous hepatocellular carcinomas in male Wistar rats was analyzed by MRSI following hyperpolarized [1-13 C]-pyruvate injections with 80 mM (low dose [LD]) or 160 mM (high dose [HD]) pyruvate. Rats received (i) LD followed by HD injection, (ii) sequential LD injections with or without an interposed lactate dehydrogenase inhibitor (LDHi) injection, or (iii) a single LD injection. A subset of rats in (ii) were sacrificed immediately after imaging, permitting measurement of active LDH concentrations in tumor extracts. Urine and serum were collected before and after injections for rats in (iii). Comparison of LD and HD injections confirmed concentration-dependent variation of intratumoral metabolite fractions and intermetabolite ratios. In addition, quantification of the lactate-to-pyruvate ratio was sensitive to pharmacologic inhibition with intermetabolite ratios correlating with active LDH concentrations in tumor extracts. Finally, comparison of pre- and post-DNP urine collections revealed that pyruvate and the radical source are renally excreted after injection. These data demonstrate that DNP-MRSI facilitates real-time quantification of intratumoral metabolism that is repeatable and reflective of intracellular processes. A translational model system confirmed that interpretation requires consideration of probe dose, administration frequency and excretion.
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Affiliation(s)
- Nicholas R Perkons
- Penn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Omar Johnson
- Penn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gabrielle Pilla
- Penn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Terence P F Gade
- Penn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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31
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McGee KP, Hwang KP, Sullivan DC, Kurhanewicz J, Hu Y, Wang J, Li W, Debbins J, Paulson E, Olsen JR, Hua CH, Warner L, Ma D, Moros E, Tyagi N, Chung C. Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294. Med Phys 2021; 48:e697-e732. [PMID: 33864283 PMCID: PMC8361924 DOI: 10.1002/mp.14884] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/24/2021] [Accepted: 03/28/2021] [Indexed: 12/16/2022] Open
Abstract
A magnetic resonance (MR) biologic marker (biomarker) is a measurable quantitative characteristic that is an indicator of normal biological and pathogenetic processes or a response to therapeutic intervention derived from the MR imaging process. There is significant potential for MR biomarkers to facilitate personalized approaches to cancer care through more precise disease targeting by quantifying normal versus pathologic tissue function as well as toxicity to both radiation and chemotherapy. Both of which have the potential to increase the therapeutic ratio and provide earlier, more accurate monitoring of treatment response. The ongoing integration of MR into routine clinical radiation therapy (RT) planning and the development of MR guided radiation therapy systems is providing new opportunities for MR biomarkers to personalize and improve clinical outcomes. Their appropriate use, however, must be based on knowledge of the physical origin of the biomarker signal, the relationship to the underlying biological processes, and their strengths and limitations. The purpose of this report is to provide an educational resource describing MR biomarkers, the techniques used to quantify them, their strengths and weakness within the context of their application to radiation oncology so as to ensure their appropriate use and application within this field.
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Affiliation(s)
- Kiaran P McGee
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ken-Pin Hwang
- Department of Imaging Physics, Division of Diagnostic Imaging, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA
| | - Daniel C Sullivan
- Department of Radiology, Duke University, Durham, North Carolina, USA
| | - John Kurhanewicz
- Department of Radiology, University of California, San Francisco, California, USA
| | - Yanle Hu
- Department of Radiation Oncology, Mayo Clinic, Scottsdale, Arizona, USA
| | - Jihong Wang
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA
| | - Wen Li
- Department of Radiation Oncology, University of Arizona, Tucson, Arizona, USA
| | - Josef Debbins
- Department of Radiology, Barrow Neurologic Institute, Phoenix, Arizona, USA
| | - Eric Paulson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jeffrey R Olsen
- Department of Radiation Oncology, University of Colorado Denver - Anschutz Medical Campus, Denver, Colorado, USA
| | - Chia-Ho Hua
- Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | | | - Daniel Ma
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Eduardo Moros
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Neelam Tyagi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Caroline Chung
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA
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32
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Crane JC, Gordon JW, Chen HY, Autry AW, Li Y, Olson MP, Kurhanewicz J, Vigneron DB, Larson PEZ, Xu D. Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco. NMR IN BIOMEDICINE 2021; 34:e4280. [PMID: 32189442 PMCID: PMC7501204 DOI: 10.1002/nbm.4280] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
Based on the expanding set of applications for hyperpolarized carbon-13 (HP-13 C) MRI, this work aims to communicate standardized methodology implemented at the University of California, San Francisco, as a primer for conducting reproducible metabolic imaging studies of the prostate and brain. Current state-of-the-art HP-13 C acquisition, data processing/reconstruction and kinetic modeling approaches utilized in patient studies are presented together with the rationale underpinning their usage. Organized around spectroscopic and imaging-based methods, this guide provides an extensible framework for handling a variety of HP-13 C applications, which derives from two examples with dynamic acquisitions: 3D echo-planar spectroscopic imaging of the human prostate and frequency-specific 2D multislice echo-planar imaging of the human brain. Details of sequence-specific parameters and processing techniques contained in these examples should enable investigators to effectively tailor studies around individual-use cases. Given the importance of clinical integration in improving the utility of HP exams, practical aspects of standardizing data formats for reconstruction, analysis and visualization are also addressed alongside open-source software packages that enhance institutional interoperability and validation of methodology. To facilitate the adoption and further development of this methodology, example datasets and analysis pipelines have been made available in the supporting information.
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Affiliation(s)
- Jason C Crane
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Jeremy W Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Adam W Autry
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Marram P Olson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, USA
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, USA
| | - Peder E Z Larson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
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33
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Macdonald EB, Begovatz P, Barton GP, Erickson-Bhatt S, Inman DR, Cox BL, Eliceiri KW, Strigel RM, Ponik SM, Fain SB. Hyperpolarized 13C Magnetic Resonance Spectroscopic Imaging of Pyruvate Metabolism in Murine Breast Cancer Models of Different Metastatic Potential. Metabolites 2021; 11:metabo11050274. [PMID: 33925445 PMCID: PMC8145849 DOI: 10.3390/metabo11050274] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/05/2021] [Accepted: 04/21/2021] [Indexed: 12/18/2022] Open
Abstract
This study uses dynamic hyperpolarized [1-13C]pyruvate magnetic resonance spectroscopic imaging (MRSI) to estimate differences in glycolytic metabolism between highly metastatic (4T1, n = 7) and metastatically dormant (4T07, n = 7) murine breast cancer models. The apparent conversion rate of pyruvate-to-lactate (kPL) and lactate-to-pyruvate area-under-the-curve ratio (AUCL/P) were estimated from the metabolite images and compared with biochemical metabolic measures and immunohistochemistry (IHC). A non-significant trend of increasing kPL (p = 0.17) and AUCL/P (p = 0.11) from 4T07 to 4T1 tumors was observed. No significant differences in tumor IHC lactate dehydrogenase-A (LDHA), monocarboxylate transporter-1 (MCT1), cluster of differentiation 31 (CD31), and hypoxia inducible factor-α (HIF-1α), tumor lactate-dehydrogenase (LDH) activity, or blood lactate or glucose levels were found between the two tumor lines. However, AUCL/P was significantly correlated with tumor LDH activity (ρspearman = 0.621, p = 0.027) and blood glucose levels (ρspearman = −0.474, p = 0.042). kPL displayed a similar, non-significant trend for LDH activity (ρspearman = 0.480, p = 0.114) and blood glucose levels (ρspearman = −0.414, p = 0.088). Neither kPL nor AUCL/P were significantly correlated with blood lactate levels or tumor LDHA or MCT1. The significant positive correlation between AUCL/P and tumor LDH activity indicates the potential of AUCL/P as a biomarker of glycolytic metabolism in breast cancer models. However, the lack of a significant difference between in vivo tumor metabolism for the two models suggest similar pyruvate-to-lactate conversion despite differing metastatic potential.
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Affiliation(s)
- Erin B. Macdonald
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
| | - Paul Begovatz
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
| | - Gregory P. Barton
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
| | - Sarah Erickson-Bhatt
- Morgridge Institute for Research, 330 N. Orchard St., Madison, WI 53715, USA;
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (D.R.I.); (S.M.P.)
| | - David R. Inman
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (D.R.I.); (S.M.P.)
| | - Benjamin L. Cox
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Morgridge Institute for Research, 330 N. Orchard St., Madison, WI 53715, USA;
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Kevin W. Eliceiri
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Morgridge Institute for Research, 330 N. Orchard St., Madison, WI 53715, USA;
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706, USA
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
| | - Roberta M. Strigel
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53792, USA
| | - Suzanne M. Ponik
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (D.R.I.); (S.M.P.)
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
| | - Sean B. Fain
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Madison, WI 53705, USA; (E.B.M.); (P.B.); (G.P.B.); (B.L.C.); (K.W.E.); (R.M.S.)
- Department of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706, USA
- Carbone Cancer Center, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53705, USA
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Ave., Madison, WI 53792, USA
- Correspondence: ; Tel.: +1-608-263-0090
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34
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Goodwin JS, Tsai LL, Mwin D, Coutinho de Souza P, Dialani S, Moon JT, Zhang Z, Grant AK, Ahmed M. In vivo detection of distal tumor glycolytic flux stimulated by hepatic ablation in a breast cancer model using hyperpolarized 13C MRI. Magn Reson Imaging 2021; 80:90-97. [PMID: 33901585 DOI: 10.1016/j.mri.2021.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 04/11/2021] [Accepted: 04/21/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE Hepatic thermal ablation therapy can result in c-Met-mediated off-target stimulation of distal tumor growth. The purpose of this study was to determine if a similar effect on tumor metabolism could be detected in vivo with hyperpolarized 13C MRI. MATERIALS AND METHODS In this prospective study, female Fisher rats (n = 28, 120-150 g) were implanted with R3230 rat breast adenocarcinoma cells and assigned to either: sham surgery, hepatic radiofrequency ablation (RFA), or hepatic RFA + adjuvant c-Met inhibition with PHA-665752 (RFA + PHA). PHA-665752 was administered at 0.83 mg/kg at 24 h post-RFA. Tumor growth was measured daily. MRI was performed 24 h before and 72 h after treatment on 14 rats, and the conversion of 13C-pyruvate into 13C-lactate within each tumor was quantified as lactate:pyruvate ratio (LPR). Comparisons of tumor growth and LPR were performed using paired and unpaired t-tests. RESULTS Hepatic RFA alone resulted in increased growth of the distant tumor compared to sham treatment (0.50 ± 0.13 mm/day versus 0.11 ± 0.07 mm/day; p < 0.001), whereas RFA + PHA (0.06 ± 0.13 mm/day) resulted in no significant change from sham treatment (p = 0.28). A significant increase in LPR was seen following hepatic RFA (+0.016 ± 0.010, p = 0.02), while LPR was unchanged for sham treatment (-0.048 ± 0.051, p = 0.10) or RFA + PHA (0.003 ± 0.041, p = 0.90). CONCLUSION In vivo hyperpolarized 13C MRI can detect hepatic RFA-induced increase in lactate flux within a distant R3230 tumor, which correlates with increased tumor growth. Adjuvant inhibition of c-Met suppresses these off-target effects, supporting a role for the HGF/c-Met signaling axis in these tumorigenic responses.
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Affiliation(s)
- J Scott Goodwin
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; UT Austin Dell Medical School Transitional Program, 1400 IH-35, CEC 2.404, Austin, TX 78701, USA
| | - Leo L Tsai
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA.
| | - David Mwin
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA
| | - Patricia Coutinho de Souza
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; Genmab, 777 Scudders Mill Rd, Plainsboro, NJ 08536, USA
| | - Svayam Dialani
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; Northwestern University, 2145 Ridge Ave, Evanston, IL 60201, USA
| | - John T Moon
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA; Division of Interventional Radiology, Emory University School of Medicine, Emory University Hospital, 1364 Clifton Road NE, Atlanta, GA 30322, USA
| | - Zheng Zhang
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA
| | - Aaron K Grant
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA
| | - Muneeb Ahmed
- Beth Israel Deaconess Medical Center, Department of Radiology, 330 Brookline Avenue, Boston, MA 02215, USA
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Saida Y, Brender JR, Yamamoto K, Mitchell JB, Krishna MC, Kishimoto S. Multimodal Molecular Imaging Detects Early Responses to Immune Checkpoint Blockade. Cancer Res 2021; 81:3693-3705. [PMID: 33837042 DOI: 10.1158/0008-5472.can-20-3182] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 02/17/2021] [Accepted: 04/08/2021] [Indexed: 01/02/2023]
Abstract
Immune checkpoint blockade (ICB) has become a standard therapy for several cancers, however, the response to ICB is inconsistent and a method for noninvasive assessment has not been established to date. To investigate the capability of multimodal imaging to evaluate treatment response to ICB therapy, hyperpolarized 13C MRI using [1-13C] pyruvate and [1,4-13C2] fumarate and dynamic contrast enhanced (DCE) MRI was evaluated to detect early changes in tumor glycolysis, necrosis, and intratumor perfusion/permeability, respectively. Mouse tumor models served as platforms for high (MC38 colon adenocarcinoma) and low (B16-F10 melanoma) sensitivity to dual ICB of PD-L1 and CTLA4. Glycolytic flux significantly decreased following treatment only in the less sensitive B16-F10 tumors. Imaging [1,4-13C2] fumarate conversion to [1,4-13C2] malate showed a significant increase in necrotic cell death following treatment in the ICB-sensitive MC38 tumors, with essentially no change in B16-F10 tumors. DCE-MRI showed significantly increased perfusion/permeability in MC38-treated tumors, whereas a similar, but statistically nonsignificant, trend was observed in B16-F10 tumors. When tumor volume was also taken into consideration, each imaging biomarker was linearly correlated with future survival in both models. These results suggest that hyperpolarized 13C MRI and DCE MRI may serve as useful noninvasive imaging markers to detect early response to ICB therapy. SIGNIFICANCE: Hyperpolarized 13C MRI and dynamic contrast enhanced MRI in murine tumor models provide useful insight into evaluating early response to immune checkpoint blockade therapy.See related commentary by Cullen and Keshari, p. 3444.
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Affiliation(s)
- Yu Saida
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Jeffrey R Brender
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Kazutoshi Yamamoto
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - James B Mitchell
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Murali C Krishna
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Shun Kishimoto
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.
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Vaeggemose M, F. Schulte R, Laustsen C. Comprehensive Literature Review of Hyperpolarized Carbon-13 MRI: The Road to Clinical Application. Metabolites 2021; 11:metabo11040219. [PMID: 33916803 PMCID: PMC8067176 DOI: 10.3390/metabo11040219] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 01/02/2023] Open
Abstract
This review provides a comprehensive assessment of the development of hyperpolarized (HP) carbon-13 metabolic MRI from the early days to the present with a focus on clinical applications. The status and upcoming challenges of translating HP carbon-13 into clinical application are reviewed, along with the complexity, technical advancements, and future directions. The road to clinical application is discussed regarding clinical needs and technological advancements, highlighting the most recent successes of metabolic imaging with hyperpolarized carbon-13 MRI. Given the current state of hyperpolarized carbon-13 MRI, the conclusion of this review is that the workflow for hyperpolarized carbon-13 MRI is the limiting factor.
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Affiliation(s)
- Michael Vaeggemose
- GE Healthcare, 2605 Brondby, Denmark;
- MR Research Centre, Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
| | | | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Correspondence:
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Oshima N, Ishida R, Kishimoto S, Beebe K, Brender JR, Yamamoto K, Urban D, Rai G, Johnson MS, Benavides G, Squadrito GL, Crooks D, Jackson J, Joshi A, Mott BT, Shrimp JH, Moses MA, Lee MJ, Yuno A, Lee TD, Hu X, Anderson T, Kusewitt D, Hathaway HH, Jadhav A, Picard D, Trepel JB, Mitchell JB, Stott GM, Moore W, Simeonov A, Sklar LA, Norenberg JP, Linehan WM, Maloney DJ, Dang CV, Waterson AG, Hall M, Darley-Usmar VM, Krishna MC, Neckers LM. Dynamic Imaging of LDH Inhibition in Tumors Reveals Rapid In Vivo Metabolic Rewiring and Vulnerability to Combination Therapy. Cell Rep 2021; 30:1798-1810.e4. [PMID: 32049011 PMCID: PMC7039685 DOI: 10.1016/j.celrep.2020.01.039] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/05/2019] [Accepted: 01/10/2020] [Indexed: 12/30/2022] Open
Abstract
The reliance of many cancers on aerobic glycolysis has stimulated efforts to develop lactate dehydrogenase (LDH) inhibitors. However, despite significant efforts, LDH inhibitors (LDHi) with sufficient specificity and in vivo activity to determine whether LDH is a feasible drug target are lacking. We describe an LDHi with potent, on-target, in vivo activity. Using hyperpolarized magnetic resonance spectroscopic imaging (HP-MRSI), we demonstrate in vivo LDH inhibition in two glycolytic cancer models, MIA PaCa-2 and HT29, and we correlate depth and duration of LDH inhibition with direct anti-tumor activity. HP-MRSI also reveals a metabolic rewiring that occurs in vivo within 30 min of LDH inhibition, wherein pyruvate in a tumor is redirected toward mitochondrial metabolism. Using HP-MRSI, we show that inhibition of mitochondrial complex 1 rapidly redirects tumor pyruvate toward lactate. Inhibition of both mitochondrial complex 1 and LDH suppresses metabolic plasticity, causing metabolic quiescence in vitro and tumor growth inhibition in vivo.
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Affiliation(s)
- Nobu Oshima
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Ryo Ishida
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Shun Kishimoto
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Kristin Beebe
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Jeffrey R Brender
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Kazutoshi Yamamoto
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Daniel Urban
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Ganesha Rai
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Michelle S Johnson
- Mitochondrial Medicine Laboratory, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Gloria Benavides
- Mitochondrial Medicine Laboratory, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Giuseppe L Squadrito
- Mitochondrial Medicine Laboratory, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Dan Crooks
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Joseph Jackson
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Abhinav Joshi
- Department of Cell Biology, University of Geneva, 1211 Geneva 4, Switzerland
| | - Bryan T Mott
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Jonathan H Shrimp
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Michael A Moses
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Min-Jung Lee
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Akira Yuno
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Tobie D Lee
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Xin Hu
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Tamara Anderson
- University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Donna Kusewitt
- University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Helen H Hathaway
- University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Ajit Jadhav
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Didier Picard
- Department of Cell Biology, University of Geneva, 1211 Geneva 4, Switzerland
| | - Jane B Trepel
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - James B Mitchell
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Gordon M Stott
- Leidos Biomedical, Frederick National Laboratory for Cancer Research, Frederick, MD 24060, USA
| | - William Moore
- Leidos Biomedical, Frederick National Laboratory for Cancer Research, Frederick, MD 24060, USA
| | - Anton Simeonov
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Larry A Sklar
- University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | | | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - David J Maloney
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Chi V Dang
- Ludwig Institute for Cancer Research, New York, NY 10017, USA; The Wistar Institute, Philadelphia, PA 19104, USA
| | - Alex G Waterson
- Department of Chemistry, Vanderbilt University, Nashville, TN 37240, USA
| | - Matthew Hall
- Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Victor M Darley-Usmar
- Mitochondrial Medicine Laboratory, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Murali C Krishna
- Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Leonard M Neckers
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
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Traechtler J, Vishnevskiy V, Fuetterer M, Kozerke S. Joint image and field map estimation for multi-echo hyperpolarized 13 C metabolic imaging of the heart. Magn Reson Med 2021; 86:258-276. [PMID: 33660300 DOI: 10.1002/mrm.28710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE Image reconstruction of metabolic images from hyperpolarized 13 C multi-echo data acquisition is sensitive to susceptibility-induced phase offsets, which are particularly challenging in the heart. A model-based framework for joint estimation of metabolite images and field map from echo shift-encoded data is proposed. Using simulations, it is demonstrated that correction of signal spilling due to incorrect decomposition of metabolites and geometrical distortions over a wide range of off-resonance gradients is possible. In vivo feasibility is illustrated using hyperpolarized [1-13 C]pyruvate in the pig heart. METHODS The model-based reconstruction for multi-echo, multicoil data was implemented as a nonconvex minimization problem jointly optimizing for metabolic images and B0 . A comprehensive simulation framework for echo shift-encoded hyperpolarized [1-13 C]pyruvate imaging was developed and applied to assess reconstruction performance and distortion correction of the proposed method. In vivo data were obtained in four pigs using hyperpolarized [1-13 C]pyruvate on a clinical 3T MR system with a six-channel receiver coil. Dynamic images were acquired during suspended ventilation using cardiac-triggered multi-echo single-shot echo-planar imaging in short-axis orientation. RESULTS Simulations revealed that off-resonance gradients up to ±0.26 ppm/pixel can be corrected for with reduced signal spilling and geometrical distortions yielding an accuracy of ≥90% in terms of Dice similarity index. In vivo, improved geometrical consistency (10% Dice improvement) compared to image reconstruction without field map correction and with reference to anatomical data was achieved. CONCLUSION Joint image and field map estimation allows addressing off-resonance-induced geometrical distortions and metabolite spilling in hyperpolarized 13 C metabolic imaging of the heart.
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Affiliation(s)
- Julia Traechtler
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Valery Vishnevskiy
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
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39
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Woitek R, Gallagher FA. The use of hyperpolarised 13C-MRI in clinical body imaging to probe cancer metabolism. Br J Cancer 2021; 124:1187-1198. [PMID: 33504974 PMCID: PMC8007617 DOI: 10.1038/s41416-020-01224-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 11/19/2020] [Accepted: 12/02/2020] [Indexed: 01/30/2023] Open
Abstract
Metabolic reprogramming is one of the hallmarks of cancer and includes the Warburg effect, which is exhibited by many tumours. This can be exploited by positron emission tomography (PET) as part of routine clinical cancer imaging. However, an emerging and alternative method to detect altered metabolism is carbon-13 magnetic resonance imaging (MRI) following injection of hyperpolarised [1-13C]pyruvate. The technique increases the signal-to-noise ratio for the detection of hyperpolarised 13C-labelled metabolites by several orders of magnitude and facilitates the dynamic, noninvasive imaging of the exchange of 13C-pyruvate to 13C-lactate over time. The method has produced promising preclinical results in the area of oncology and is currently being explored in human imaging studies. The first translational studies have demonstrated the safety and feasibility of the technique in patients with prostate, renal, breast and pancreatic cancer, as well as revealing a successful response to treatment in breast and prostate cancer patients at an earlier stage than multiparametric MRI. This review will focus on the strengths of the technique and its applications in the area of oncological body MRI including noninvasive characterisation of disease aggressiveness, mapping of tumour heterogeneity, and early response assessment. A comparison of hyperpolarised 13C-MRI with state-of-the-art multiparametric MRI is likely to reveal the unique additional information and applications offered by the technique.
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Affiliation(s)
- Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge, UK.
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
- Cancer Research UK Cambridge Centre, Cambridge, UK.
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Centre, Cambridge, UK
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40
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Reed GD, Korn NJ, Laustsen C, von Morze C. Analysis Methods for Hyperpolarized Carbon ( 13C) MRI of the Kidney. Methods Mol Biol 2021; 2216:697-710. [PMID: 33476032 PMCID: PMC9703216 DOI: 10.1007/978-1-0716-0978-1_42] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2024]
Abstract
Hyperpolarized 13C MR is a novel medical imaging modality with substantially different signal dynamics as compared to conventional 1H MR, thus requiring new methods for processing the data in order to access and quantify the embedded metabolic and functional information. Here we describe step-by-step analysis protocols for functional renal hyperpolarized 13C imaging. These methods are useful for investigating renal blood flow and function as well as metabolic status of rodents in vivo under various experimental physiological conditions.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.
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Affiliation(s)
| | - Natalie J Korn
- Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
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41
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Ros S, Wright AJ, D'Santos P, Hu DE, Hesketh RL, Lubling Y, Georgopoulou D, Lerda G, Couturier DL, Razavi P, Pelossof R, Batra AS, Mannion E, Lewis DY, Martin A, Baird RD, Oliveira M, de Boo LW, Linn SC, Scaltriti M, Rueda OM, Bruna A, Caldas C, Brindle KM. Metabolic Imaging Detects Resistance to PI3Kα Inhibition Mediated by Persistent FOXM1 Expression in ER + Breast Cancer. Cancer Cell 2020; 38:516-533.e9. [PMID: 32976773 PMCID: PMC7562820 DOI: 10.1016/j.ccell.2020.08.016] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 06/26/2020] [Accepted: 08/25/2020] [Indexed: 12/25/2022]
Abstract
PIK3CA, encoding the PI3Kα isoform, is the most frequently mutated oncogene in estrogen receptor (ER)-positive breast cancer. Isoform-selective PI3K inhibitors are used clinically but intrinsic and acquired resistance limits their utility. Improved selection of patients that will benefit from these drugs requires predictive biomarkers. We show here that persistent FOXM1 expression following drug treatment is a biomarker of resistance to PI3Kα inhibition in ER+ breast cancer. FOXM1 drives expression of lactate dehydrogenase (LDH) but not hexokinase 2 (HK-II). The downstream metabolic changes can therefore be detected using MRI of LDH-catalyzed hyperpolarized 13C label exchange between pyruvate and lactate but not by positron emission tomography measurements of HK-II-mediated trapping of the glucose analog 2-deoxy-2-[18F]fluorodeoxyglucose. Rapid assessment of treatment response in breast cancer using this imaging method could help identify patients that benefit from PI3Kα inhibition and design drug combinations to counteract the emergence of resistance.
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Affiliation(s)
- Susana Ros
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK.
| | - Alan J Wright
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Paula D'Santos
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - De-En Hu
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Richard L Hesketh
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Yaniv Lubling
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Dimitra Georgopoulou
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Giulia Lerda
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Dominique-Laurent Couturier
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
| | - Pedram Razavi
- Human Oncology and Pathogenesis Program, X and Department of Pathology, Y and Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rapahel Pelossof
- Human Oncology and Pathogenesis Program, X and Department of Pathology, Y and Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ankita S Batra
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Elizabeth Mannion
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - David Y Lewis
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Alistair Martin
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Richard D Baird
- Breast Cancer Research Programme, Cancer Research UK Cambridge Centre, Cambridge, UK
| | - Mafalda Oliveira
- Medical Oncology, Vall d'Hebron Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Leonora W de Boo
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sabine C Linn
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Maurizio Scaltriti
- Human Oncology and Pathogenesis Program, X and Department of Pathology, Y and Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Oscar M Rueda
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Alejandra Bruna
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK; Department of Biochemistry, University of Cambridge, Cambridge UK.
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Neveu MA, Beziere N, Daniels R, Bouzin C, Comment A, Schwenck J, Fuchs K, Kneilling M, Pichler BJ, Schmid AM. Lactate Production Precedes Inflammatory Cell Recruitment in Arthritic Ankles: an Imaging Study. Mol Imaging Biol 2020; 22:1324-1332. [PMID: 32514887 PMCID: PMC7497460 DOI: 10.1007/s11307-020-01510-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE Inflammation is involved in many disease processes. However, accurate imaging tools permitting diagnosis and characterization of inflammation are still missing. As inflamed tissues exhibit a high rate of glycolysis, pyruvate metabolism may offer a unique approach to follow the inflammatory response and disease progression. Therefore, the aim of the study was to follow metabolic changes and recruitment of inflammatory cells after onset of inflammation in arthritic ankles using hyperpolarized 1-13C-pyruvate magnetic resonance spectroscopy (MRS) and 19F magnetic resonance imaging (MRI), respectively. PROCEDURE Experimental rheumatoid arthritis (RA) was induced by intraperitoneal injection of glucose-6-phosphate-isomerase-specific antibodies (GPI) containing serum. To monitor pyruvate metabolism, the transformation of hyperpolarized 1-13C-pyruvate into hyperpolarized 1-13C-lactate was followed using MRS. To track phagocytic immune cell homing, we intravenously injected a perfluorocarbon emulsion 48 h before imaging. The animals were scanned at days 1, 3, or 6 after GPI-serum injection to examine the different stages of arthritic inflammation. Finally, to confirm the pyruvate metabolic activity and the link to inflammatory cell recruitment, we conducted hematoxylin-eosin histopathology and monocarboxylase transporter (MCT-1) immune histochemistry (IHC) of inflamed ankles. RESULTS Hyperpolarized 1-13C-pyruvate MRS revealed a high rate of lactate production immediately at day 1 after GPI-serum transfer, which remained elevated during the progression of the disease, while 19F-MRI exhibited a gradual recruitment of phagocytic immune cells in arthritic ankles, which correlated well with the course of ankle swelling. Histopathology and IHC revealed that MCT-1 was expressed in regions with inflammatory cell recruitment, confirming the metabolic shift identified in arthritic ankles. CONCLUSIONS Our study demonstrated the presence of a very early metabolic shift in arthritic joints independent of phagocytic immune cell recruitment. Thus, hyperpolarized 1-13C-pyruvate represents a promising tracer to monitor acute arthritic joint inflammation, even with minor ankle swelling. Furthermore, translated to the clinics, these methods add a detailed characterization of disease status and could substantially support patient stratification and therapy monitoring.
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Affiliation(s)
- Marie-Aline Neveu
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany
| | - Nicolas Beziere
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany
| | - Rolf Daniels
- Department of Pharmaceutical Technology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Caroline Bouzin
- IREC Imaging Platform, Institute of Experimental and Clinical Research, Université catholique de Louvain, Brussels, Belgium
| | - Arnaud Comment
- General Electric Healthcare, Pollards Wood, Nightingales Lane, Chalfont St Giles, UK
| | - Johannes Schwenck
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany
- Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University Tuebingen, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany
| | - Kerstin Fuchs
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany
| | - Manfred Kneilling
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany
- Department of Dermatology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Bernd J Pichler
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany
| | - Andreas M Schmid
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany.
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43
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van Heijster FH, Heskamp S, Breukels V, Veltien A, Franssen GM, Jansen K(C, Boerman OC, Schalken JA, Scheenen TW, Heerschap A. Pyruvate-lactate exchange and glucose uptake in human prostate cancer cell models. A study in xenografts and suspensions by hyperpolarized [1- 13 C]pyruvate MRS and [ 18 F]FDG-PET. NMR IN BIOMEDICINE 2020; 33:e4362. [PMID: 32662543 PMCID: PMC7507209 DOI: 10.1002/nbm.4362] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 06/06/2020] [Accepted: 06/07/2020] [Indexed: 05/04/2023]
Abstract
Reprogramming of energy metabolism in the development of prostate cancer can be exploited for a better diagnosis and treatment of the disease. The goal of this study was to determine whether differences in glucose and pyruvate metabolism of human prostate cancer cells with dissimilar aggressivenesses can be detected using hyperpolarized [1-13 C]pyruvate MRS and [18 F]FDG-PET imaging, and to evaluate whether these measures correlate. For this purpose, we compared murine xenografts of human prostate cancer LNCaP cells with those of more aggressive PC3 cells. [1-13 C]pyruvate was hyperpolarized by dissolution dynamic nuclear polarization (dDNP) and [1-13 C]pyruvate to lactate conversion was followed by 13 C MRS. Subsequently [18 F]FDG uptake was investigated by static and dynamic PET measurements. Standard uptake values (SUVs) for [18 F]FDG were significantly higher for xenografts of PC3 compared with those of LNCaP. However, we did not observe a difference in the average apparent rate constant kpl of 13 C label exchange from pyruvate to lactate between the tumor variants. A significant negative correlation was found between SUVs from [18 F]FDG PET measurements and kpl values for the xenografts of both tumor types. The kpl rate constant may be influenced by various factors, and studies with a range of prostate cancer cells in suspension suggest that LDH inhibition by pyruvate may be one of these. Our results indicate that glucose and pyruvate metabolism in the prostate cancer cell models differs from that in other tumor models and that [18 F]FDG-PET can serve as a valuable complementary tool in dDNP studies of aggressive prostate cancer with [1-13 C]pyruvate.
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Affiliation(s)
- Frits H.A. van Heijster
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Sandra Heskamp
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Vincent Breukels
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Andor Veltien
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Gerben M. Franssen
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | | | - Otto C. Boerman
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Jack A. Schalken
- Department of UrologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Tom W.J. Scheenen
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Arend Heerschap
- Department of Radiology and Nuclear MedicineRadboud University Medical CenterNijmegenThe Netherlands
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44
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Tyler A, Lau JYC, Ball V, Timm KN, Zhou T, Tyler DJ, Miller JJ. A 3D hybrid-shot spiral sequence for hyperpolarized 13 C imaging. Magn Reson Med 2020; 85:790-801. [PMID: 32894618 PMCID: PMC7611357 DOI: 10.1002/mrm.28462] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 06/30/2020] [Accepted: 07/14/2020] [Indexed: 01/30/2023]
Abstract
Purpose Hyperpolarized imaging experiments have conflicting requirements of high spatial, temporal, and spectral resolution. Spectral-spatial RF excitation has been shown to form an attractive magnetization-efficient method for hyperpolarized imaging, but the optimum readout strategy is not yet known. Methods In this work, we propose a novel 3D hybrid-shot spiral sequence which features two constant density regions that permit the retrospective reconstruction of either high spatial or high temporal resolution images post hoc, (adaptive spatiotemporal imaging) allowing greater flexibility in acquisition and reconstruction. Results We have implemented this sequence, both via simulation and on a preclinical scanner, to demonstrate its feasibility, in both a 1H phantom and with hyperpolarized 13C pyruvate in vivo. Conclusions This sequence forms an attractive method for acquiring hyperpolarized imaging datasets, providing adaptive spatiotemporal imaging to ameliorate the conflict of spatial and temporal resolution, with significant potential for clinical translation.
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Affiliation(s)
- Andrew Tyler
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Justin Y C Lau
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Vicky Ball
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom
| | - Kerstin N Timm
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom
| | - Tony Zhou
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Damian J Tyler
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom
| | - Jack J Miller
- Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Clinical Cardiac Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Headington, United Kingdom.,Department of Physics, Clarendon Laboratory, University of Oxford, Oxford, United Kingdom
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45
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Mariager CØ, Hansen ESS, Bech SK, Munk A, Kjaergaard U, Lyhne MD, Søberg K, Nielsen PF, Ringgaard S, Laustsen C. Graft assessment of the ex vivo perfused porcine kidney using hyperpolarized [1- 13 C]pyruvate. Magn Reson Med 2020; 84:2645-2655. [PMID: 32557782 DOI: 10.1002/mrm.28363] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 05/07/2020] [Accepted: 05/21/2020] [Indexed: 01/06/2023]
Abstract
PURPOSE Normothermic perfusion is an emerging strategy for donor organ preservation and therapy, incited by the high worldwide demand for organs for transplantation. Hyperpolarized MRI and MRS using [1-13 C]pyruvate and other 13 C-labeled molecules pose a novel way to acquire highly detailed information about metabolism and function in a noninvasive manner. This study investigates the use of this methodology as a means to study and monitor the state of ex vivo perfused porcine kidneys, in the context of kidney graft preservation research. METHODS Kidneys from four 40-kg Danish domestic pigs were perfused ex vivo with whole blood under normothermic conditions, using an MR-compatible perfusion system. Kidneys were investigated using 1 H MRI as well as hyperpolarized [1-13 C]pyruvate MRI and MRS. Using the acquired anatomical, functional and metabolic data, the state of the ex vivo perfused porcine kidney could be quantified. RESULTS Four kidneys were successfully perfused for 120 minutes and verified using a DCE perfusion experiment. Renal metabolism was examined using hyperpolarized [1-13 C]pyruvate MRI and MRS, and displayed an apparent reduction in pyruvate turnover compared with the usual case in vivo. Perfusion and blood gas parameters were in the normal ex vivo range. CONCLUSION This study demonstrates the ability to monitor ex vivo graft metabolism and function in a large animal model, resembling human renal physiology. The ability of hyperpolarized MRI and MRS to directly compare the metabolic state of an organ in vivo and ex vivo, in combination with the simple MR implementation of normothermic perfusion, renders this methodology a powerful future tool for graft preservation research.
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Affiliation(s)
| | | | - Sabrina Kahina Bech
- Department of Clinical Medicine, The MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Anders Munk
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Uffe Kjaergaard
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Mads Dam Lyhne
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Karsten Søberg
- Department of Anesthesia and Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Fast Nielsen
- Department of Anesthesia and Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Steffen Ringgaard
- Department of Clinical Medicine, The MR Research Centre, Aarhus University, Aarhus, Denmark
| | - Christoffer Laustsen
- Department of Clinical Medicine, The MR Research Centre, Aarhus University, Aarhus, Denmark
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46
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Nielsen PM, Qi H, Bertelsen LB, Laustsen C. Metabolic reprogramming associated with progression of renal ischemia reperfusion injury assessed with hyperpolarized [1- 13C]pyruvate. Sci Rep 2020; 10:8915. [PMID: 32488151 PMCID: PMC7265284 DOI: 10.1038/s41598-020-65816-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 05/11/2020] [Indexed: 01/02/2023] Open
Abstract
Acute kidney injury is a major clinical challenge affecting as many as 1 percent of all hospitalized patients. Currently it is not possible to accurately stratify and predict the outcome of the individual patient. Increasing evidence supports metabolic reprogramming as a potential target for new biomarkers. Hyperpolarized [1-13C]pyruvate imaging is a promising new tool for evaluating the metabolic status directly in the kidneys. We here investigate the prognostic potential of hyperpolarized [1-13C]pyruvate in the setting of acute kidney injury in a rodent model of ischemia reperfusion. A significant correlation was found between the intra-renal metabolic profile 24 hours after reperfusion and 7 days after injury induction, as well as a correlation with the conventional plasma creatinine biomarker of renal function and markers of renal injury. This leads to a possible outcome prediction of renal function and injury development from a metabolic profile measured in vivo. The results support human translation of this new technology to renal patients as all experiements have been performed using clinical MRI equipment.
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Affiliation(s)
- Per Mose Nielsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Haiyun Qi
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lotte Bonde Bertelsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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47
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Müller CA, Hundshammer C, Braeuer M, Skinner JG, Berner S, Leupold J, Düwel S, Nekolla SG, Månsson S, Hansen AE, von Elverfeldt D, Ardenkjaer-Larsen JH, Schilling F, Schwaiger M, Hennig J, Hövener JB. Dynamic 2D and 3D mapping of hyperpolarized pyruvate to lactate conversion in vivo with efficient multi-echo balanced steady-state free precession at 3 T. NMR IN BIOMEDICINE 2020; 33:e4291. [PMID: 32154970 DOI: 10.1002/nbm.4291] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/10/2023]
Abstract
The aim of this study was to acquire the transient MRI signal of hyperpolarized tracers and their metabolites efficiently, for which specialized imaging sequences are required. In this work, a multi-echo balanced steady-state free precession (me-bSSFP) sequence with Iterative Decomposition with Echo Asymmetry and Least squares estimation (IDEAL) reconstruction was implemented on a clinical 3 T positron-emission tomography/MRI system for fast 2D and 3D metabolic imaging. Simulations were conducted to obtain signal-efficient sequence protocols for the metabolic imaging of hyperpolarized biomolecules. The sequence was applied in vitro and in vivo for probing the enzymatic exchange of hyperpolarized [1-13 C]pyruvate and [1-13 C]lactate. Chemical shift resolution was achieved using a least-square, iterative chemical species separation algorithm in the reconstruction. In vitro, metabolic conversion rate measurements from me-bSSFP were compared with NMR spectroscopy and free induction decay-chemical shift imaging (FID-CSI). In vivo, a rat MAT-B-III tumor model was imaged with me-bSSFP and FID-CSI. 2D metabolite maps of [1-13 C]pyruvate and [1-13 C]lactate acquired with me-bSSFP showed the same spatial distributions as FID-CSI. The pyruvate-lactate conversion kinetics measured with me-bSSFP and NMR corresponded well. Dynamic 2D metabolite mapping with me-bSSFP enabled the acquisition of up to 420 time frames (scan time: 180-350 ms/frame) before the hyperpolarized [1-13 C]pyruvate was relaxed below noise level. 3D metabolite mapping with a large field of view (180 × 180 × 48 mm3 ) and high spatial resolution (5.6 × 5.6 × 2 mm3 ) was conducted with me-bSSFP in a scan time of 8.2 seconds. It was concluded that Me-bSSFP improves the spatial and temporal resolution for metabolic imaging of hyperpolarized [1-13 C]pyruvate and [1-13 C]lactate compared with either of the FID-CSI or EPSI methods reported at 3 T, providing new possibilities for clinical and preclinical applications.
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Affiliation(s)
- Christoph A Müller
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Consortium for Translational Cancer Research (DKTK), Partnersite Freiburg, German Center for Cancer Research (DKFZ), Heidelberg, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
- Department of Chemistry, Technical University of Munich, Garching, Germany
- Munich School of Bioengineering, Technical University of Munich, Garching, Germany
| | - Miriam Braeuer
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Jason G Skinner
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Stephan Berner
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Consortium for Translational Cancer Research (DKTK), Partnersite Freiburg, German Center for Cancer Research (DKFZ), Heidelberg, Germany
| | - Jochen Leupold
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stephan Düwel
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Stephan G Nekolla
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Sven Månsson
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Adam E Hansen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Denmark
| | - Dominik von Elverfeldt
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Franz Schilling
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Markus Schwaiger
- Department of Nuclear Medicine, University Hospital rechts der Isar, Munich, Germany
| | - Jürgen Hennig
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jan-Bernd Hövener
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig Holstein (UKSH), Kiel University, Germany
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48
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Yamamoto K, Brender JR, Seki T, Kishimoto S, Oshima N, Choudhuri R, Adler SS, Jagoda EM, Saito K, Devasahayam N, Choyke PL, Mitchell JB, Krishna MC. Molecular Imaging of the Tumor Microenvironment Reveals the Relationship between Tumor Oxygenation, Glucose Uptake, and Glycolysis in Pancreatic Ductal Adenocarcinoma. Cancer Res 2020; 80:2087-2093. [PMID: 32245793 PMCID: PMC7272278 DOI: 10.1158/0008-5472.can-19-0928] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 11/02/2019] [Accepted: 03/25/2020] [Indexed: 12/28/2022]
Abstract
Molecular imaging approaches for metabolic and physiologic imaging of tumors have become important for treatment planning and response monitoring. However, the relationship between the physiologic and metabolic aspects of tumors is not fully understood. Here, we developed new hyperpolarized MRI and electron paramagnetic resonance imaging procedures that allow more direct assessment of tumor glycolysis and oxygenation status quantitatively. We investigated the spatial relationship between hypoxia, glucose uptake, and glycolysis in three human pancreatic ductal adenocarcinoma tumor xenografts with differing physiologic and metabolic characteristics. At the bulk tumor level, there was a strong positive correlation between 18F-FDG-PET and lactate production, while pO2 was inversely related to lactate production and 18F-2-fluoro-2-deoxy-D-glucose (18F-FDG) uptake. However, metabolism was not uniform throughout the tumors, and the whole tumor results masked different localizations that became apparent while imaging. 18F-FDG uptake negatively correlated with pO2 in the center of the tumor and positively correlated with pO2 on the periphery. In contrast to pO2 and 18F-FDG uptake, lactate dehydrogenase activity was distributed relatively evenly throughout the tumor. The heterogeneity revealed by each measure suggests a multimodal molecular imaging approach can improve tumor characterization, potentially leading to better prognostics in cancer treatment. SIGNIFICANCE: Novel multimodal molecular imaging techniques reveal the potential of three interrelated imaging biomarkers to profile the tumor microenvironment and interrelationships of hypoxia, glucose uptake, and glycolysis.
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Affiliation(s)
- Kazutoshi Yamamoto
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Jeffrey R Brender
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Tomohiro Seki
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Shun Kishimoto
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Nobu Oshima
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Rajani Choudhuri
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Stephen S Adler
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, NCI, Frederick, Maryland
| | - Elaine M Jagoda
- Molecular Imaging Program, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Keita Saito
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | | | - Peter L Choyke
- Molecular Imaging Program, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - James B Mitchell
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Murali C Krishna
- Radiation Biology Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
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49
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Bøgh N, Hansen ESS, Omann C, Lindhardt J, Nielsen PM, Stephenson RS, Laustsen C, Hjortdal VE, Agger P. Increasing carbohydrate oxidation improves contractile reserves and prevents hypertrophy in porcine right heart failure. Sci Rep 2020; 10:8158. [PMID: 32424129 PMCID: PMC7235019 DOI: 10.1038/s41598-020-65098-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 02/24/2020] [Indexed: 01/16/2023] Open
Abstract
In heart failure, myocardial overload causes vast metabolic changes that impair cardiac energy production and contribute to deterioration of contractile function. However, metabolic therapy is not used in heart failure care. We aimed to investigate the interplay between cardiac function and myocardial carbohydrate metabolism in a large animal heart failure model. Using magnetic resonance spectroscopy with hyperpolarized pyruvate and magnetic resonance imaging at rest and during pharmacological stress, we investigated the in-vivo cardiac pyruvate metabolism and contractility in a porcine model of chronic pulmonary insufficiency causing right ventricular volume overload. To assess if increasing the carbohydrate metabolic reserve improves the contractile reserve, a group of animals were fed dichloroacetate, an activator of pyruvate oxidation. Volume overload caused heart failure with decreased pyruvate dehydrogenase flux and poor ejection fraction reserve. The animals treated with dichloroacetate had a larger contractile response to dobutamine stress than non-treated animals. Further, dichloroacetate prevented myocardial hypertrophy. The in-vivo metabolic data were validated by mitochondrial respirometry, enzyme activity assays and gene expression analyses. Our results show that pyruvate dehydrogenase kinase inhibition improves the contractile reserve and decreases hypertrophy by augmenting carbohydrate metabolism in porcine heart failure. The approach is promising for metabolic heart failure therapy.
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Affiliation(s)
- Nikolaj Bøgh
- The Department of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark. .,The MR Research Centre, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark.
| | - Esben S S Hansen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Camilla Omann
- The Department of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Jakob Lindhardt
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Per M Nielsen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Robert S Stephenson
- Comparative Medicine Lab, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark.,Institute of Clinical Sciences, College of Medical and Dental Science, The University of Birmingham, Birmingham, United Kingdom
| | - Christoffer Laustsen
- The MR Research Centre, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Vibeke E Hjortdal
- The Department of Cardiothoracic and Vascular Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Peter Agger
- Comparative Medicine Lab, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
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50
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Lee CY, Lau JYC, Geraghty BJ, Chen AP, Gu YP, Cunningham CH. Correlation of hyperpolarized 13 C-MRI data with tissue extract measurements. NMR IN BIOMEDICINE 2020; 33:e4269. [PMID: 32133713 DOI: 10.1002/nbm.4269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 01/17/2020] [Accepted: 01/18/2020] [Indexed: 05/26/2023]
Abstract
Hyperpolarized (HP) 13C MRI provides the means to monitor lactate metabolism noninvasively in tumours. Since 13C -lactate signal levels obtained from HP 13C imaging depend on multiple factors, such as the rate of 13C substrate delivery via the vasculature, the expression level of monocarboxylate transporters (MCTs) and lactate dehydrogenase (LDH), and the local lactate pool size, the interpretation of HP 13C metabolic images remains challenging. In this study, ex vivo tissue extract measurements (i.e., NMR isotopomer analysis, western blot analysis) derived from an MDA-MB-231 xenograft model in nude rats were used to test for correlations between the in vivo 13C data and the ex vivo measures. The lactate-to-pyruvate ratio from HP 13C MRI was strongly correlated with [1- 13C ]lactate concentration measured from the extracts using NMR (R = 0.69, p < 0.05), as well as negatively correlated with tumour wet weight (R = - 0.60, p < 0.05). In this tumour model, both MCT1 and MCT4 expressions were positively correlated with wet weight ( ρ = 0.78 and 0.93, respectively, p < 0.01). Lactate pool size and the lactate-to-pyruvate ratio were not significantly correlated.
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Affiliation(s)
- Casey Y Lee
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Justin Y C Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Benjamin J Geraghty
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | | | - Yi-Ping Gu
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Charles H Cunningham
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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