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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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2
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Mu C, Liu X, Kim Y, Riselli A, Korenchan DE, Bok RA, Delos Santos R, Sriram R, Qin H, Nguyen H, Gordon JW, Slater J, Larson PEZ, Vigneron DB, Kurhanewicz J, Wilson DM, Flavell RR. Clinically Translatable Hyperpolarized 13C Bicarbonate pH Imaging Method for Use in Prostate Cancer. ACS Sens 2023; 8:4042-4054. [PMID: 37878761 PMCID: PMC10683509 DOI: 10.1021/acssensors.3c00851] [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: 05/02/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
Solid tumors such as prostate cancer (PCa) commonly develop an acidic microenvironment with pH 6.5-7.2, owing to heterogeneous perfusion, high metabolic activity, and rapid cell proliferation. In preclinical prostate cancer models, disease progression is associated with a decrease in tumor extracellular pH, suggesting that pH imaging may reflect an imaging biomarker to detect aggressive and high-risk disease. Therefore, we developed a hyperpolarized carbon-13 MRI method to image the tumor extracellular pH (pHe) and prepared it for clinical translation for detection and risk stratification of PCa. This method relies on the rapid breakdown of hyperpolarized (HP) 1,2-glycerol carbonate (carbonyl-13C) via base-catalyzed hydrolysis to produce HP 13CO32-, which is neutralized and converted to HP H13CO3-. After injection, HP H13CO3- equilibrates with HP 13CO2 in vivo and enables the imaging of pHe. Using insights gleaned from mechanistic studies performed in the hyperpolarized state, we solved issues of polarization loss during preparation in a clinical polarizer system. We successfully customized a reaction apparatus suitable for clinical application, developed clinical standard operating procedures, and validated the radiofrequency pulse sequence and imaging data acquisition with a wide range of animal models. The results demonstrated that we can routinely produce a highly polarized and safe HP H13CO3- contrast agent suitable for human injection. Preclinical imaging studies validated the reliability and accuracy of measuring acidification in healthy kidney and prostate tumor tissue. These methods were used to support an Investigational New Drug application to the U.S. Food and Drug Administration. This methodology is now ready to be implemented in human trials, with the ultimate goal of improving the management of PCa.
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Affiliation(s)
- Changhua Mu
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Xiaoxi Liu
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Yaewon Kim
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Andrew Riselli
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - David E. Korenchan
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Robert A. Bok
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Romelyn Delos Santos
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Renuka Sriram
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Hecong Qin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Hao Nguyen
- Department
of Urology, University of California, San Francisco, California 94143, United States
| | - Jeremy W. Gordon
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - James Slater
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Peder E. Z. Larson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Daniel B. Vigneron
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - John Kurhanewicz
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
- Department
of Pharmaceutical Chemistry, University
of California, San Francisco, California 94158, United States
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3
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Grashei M, Wodtke P, Skinner JG, Sühnel S, Setzer N, Metzler T, Gulde S, Park M, Witt D, Mohr H, Hundshammer C, Strittmatter N, Pellegata NS, Steiger K, Schilling F. Simultaneous magnetic resonance imaging of pH, perfusion and renal filtration using hyperpolarized 13C-labelled Z-OMPD. Nat Commun 2023; 14:5060. [PMID: 37604826 PMCID: PMC10442412 DOI: 10.1038/s41467-023-40747-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 08/09/2023] [Indexed: 08/23/2023] Open
Abstract
pH alterations are a hallmark of many pathologies including cancer and kidney disease. Here, we introduce [1,5-13C2]Z-OMPD as a hyperpolarized extracellular pH and perfusion sensor for MRI which allows to generate a multiparametric fingerprint of renal disease status and to detect local tumor acidification. Exceptional long T1 of two minutes at 1 T, high pH sensitivity of up to 1.9 ppm per pH unit and suitability of using the C1-label as internal frequency reference enables pH imaging in vivo of three pH compartments in healthy rat kidneys. Spectrally selective targeting of both 13C-resonances enables simultaneous imaging of perfusion and filtration in 3D and pH in 2D within one minute to quantify renal blood flow, glomerular filtration rates and renal pH in healthy and hydronephrotic kidneys with superior sensitivity compared to clinical routine methods. Imaging multiple biomarkers within a single session renders [1,5-13C2]Z-OMPD a promising new hyperpolarized agent for oncology and nephrology.
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Affiliation(s)
- Martin Grashei
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Pascal Wodtke
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Jason G Skinner
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Sandra Sühnel
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Nadine Setzer
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Thomas Metzler
- Comparative Experimental Pathology (CEP), Institute of Pathology, School of Medicine, Technical University of Munich, D-81675, Munich, Germany
| | - Sebastian Gulde
- Institute for Diabetes and Cancer, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
| | - Mihyun Park
- Department of Biosciences, TUM School of Natural Sciences, Technical University of Munich, D-85748, Garching, Germany
| | - Daniela Witt
- Department of Biosciences, TUM School of Natural Sciences, Technical University of Munich, D-85748, Garching, Germany
| | - Hermine Mohr
- Institute for Diabetes and Cancer, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany
| | - Nicole Strittmatter
- Department of Biosciences, TUM School of Natural Sciences, Technical University of Munich, D-85748, Garching, Germany
| | - Natalia S Pellegata
- Institute for Diabetes and Cancer, Helmholtz Zentrum München, D-85764, Neuherberg, Germany
- Department of Biology and Biotechnology, University of Pavia, I-27100, Pavia, Italy
| | - Katja Steiger
- Comparative Experimental Pathology (CEP), Institute of Pathology, School of Medicine, Technical University of Munich, D-81675, Munich, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum rechts der Isar, Technical University of Munich, D-81675, Munich, Germany.
- Munich Institute of Biomedical Engineering, Technical University of Munich, D-85748, Garching, Germany.
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany.
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4
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Fok WYR, Grashei M, Skinner JG, Menze BH, Schilling F. Prediction of multiple pH compartments by deep learning in magnetic resonance spectroscopy with hyperpolarized 13C-labelled zymonic acid. EJNMMI Res 2022; 12:24. [PMID: 35460436 PMCID: PMC9035201 DOI: 10.1186/s13550-022-00894-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/05/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Hyperpolarization enhances the sensitivity of nuclear magnetic resonance experiments by between four and five orders of magnitude. Several hyperpolarized sensor molecules have been introduced that enable high sensitivity detection of metabolism and physiological parameters. However, hyperpolarized magnetic resonance spectroscopy imaging (MRSI) often suffers from poor signal-to-noise ratio and spectral analysis is complicated by peak overlap. Here, we study measurements of extracellular pH (pHe) by hyperpolarized zymonic acid, where multiple pHe compartments, such as those observed in healthy kidney or other heterogeneous tissue, result in a cluster of spectrally overlapping peaks, which is hard to resolve with conventional spectroscopy analysis routines. METHODS We investigate whether deep learning methods can yield improved pHe prediction in hyperpolarized zymonic acid spectra of multiple pHe compartments compared to conventional line fitting. As hyperpolarized 13C-MRSI data sets are often small, a convolutional neural network (CNN) and a multilayer perceptron (MLP) were trained with either a synthetic or a mixed (synthetic and augmented) data set of acquisitions from the kidneys of healthy mice. RESULTS Comparing the networks' performances compartment-wise on a synthetic test data set and eight real kidney data shows superior performance of CNN compared to MLP and equal or superior performance compared to conventional line fitting. For correct prediction of real kidney pHe values, training with a mixed data set containing only 0.5% real data shows a large improvement compared to training with synthetic data only. Using a manual segmentation approach, pH maps of kidney compartments can be improved by neural network predictions for voxels including three pH compartments. CONCLUSION The results of this study indicate that CNNs offer a reliable, accurate, fast and non-interactive method for analysis of hyperpolarized 13C MRS and MRSI data, where low amounts of acquired data can be complemented to achieve suitable network training.
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Affiliation(s)
- Wai-Yan Ryana Fok
- Department of Informatics, Technical University of Munich, 85748, Garching, Germany
| | - Martin Grashei
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675, Munich, Germany
| | - Jason G Skinner
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675, Munich, Germany
| | - Bjoern H Menze
- Department of Informatics, Technical University of Munich, 85748, Garching, Germany
| | - Franz Schilling
- Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
- Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
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5
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Pravdivtsev AN, Hövener J, Schmidt AB. Frequency-Selective Manipulations of Spins allow Effective and Robust Transfer of Spin Order from Parahydrogen to Heteronuclei in Weakly-Coupled Spin Systems. Chemphyschem 2022; 23:e202100721. [PMID: 34874086 PMCID: PMC9306892 DOI: 10.1002/cphc.202100721] [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] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/04/2021] [Indexed: 01/20/2023]
Abstract
We present a selectively pulsed (SP) generation of sequences to transfer the spin order of parahydrogen (pH2 ) to heteronuclei in weakly coupled spin systems. We analyze and discuss the mechanism and efficiency of SP spin order transfer (SOT) and derive sequence parameters. These new sequences are most promising for the hyperpolarization of molecules at high magnetic fields. SP-SOT is effective and robust despite the symmetry of the 1 H-13 C J-couplings even when precursor molecules are not completely labeled with deuterium. As only one broadband 1 H pulse is needed per sequence, which can be replaced for instance by a frequency-modulated pulse, lower radiofrequency (RF) power is required. This development will be useful to hyperpolarize (new) agents and to perform the hyperpolarization within the bore of an MRI system, where the limited RF power has been a persistent problem.
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Affiliation(s)
- Andrey N. Pravdivtsev
- Section Biomedical ImagingMolecular Imaging North Competence Center (MOIN CC)Department of Radiology and NeuroradiologyUniversity Medical Center KielKiel University DepartmentAm Botanischen Garten 1424118KielGermany
| | - Jan‐Bernd Hövener
- Section Biomedical ImagingMolecular Imaging North Competence Center (MOIN CC)Department of Radiology and NeuroradiologyUniversity Medical Center KielKiel University DepartmentAm Botanischen Garten 1424118KielGermany
| | - Andreas B. Schmidt
- Section Biomedical ImagingMolecular Imaging North Competence Center (MOIN CC)Department of Radiology and NeuroradiologyUniversity Medical Center KielKiel University DepartmentAm Botanischen Garten 1424118KielGermany
- Department of RadiologyMedical PhysicsUniversity Medical CenterFaculty of MedicineUniversity of FreiburgKillianstr. 5a79106FreiburgGermany
- German Cancer Consortium (DKTK)partner site Freiburg andGerman Cancer Research Center (DKFZ)Im Neuenheimer Feld 28069120HeidelbergGermany
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6
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Pravdivtsev AN, Sönnichsen FD, Hövener JB. In vitro singlet state and zero-quantum encoded magnetic resonance spectroscopy: Illustration with N-acetyl-aspartate. PLoS One 2020; 15:e0239982. [PMID: 33002045 PMCID: PMC7529218 DOI: 10.1371/journal.pone.0239982] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 09/16/2020] [Indexed: 12/20/2022] Open
Abstract
Magnetic resonance spectroscopy (MRS) allows the analysis of biochemical processes non-invasively and in vivo. Still, its application in clinical diagnostics is rare. Routine MRS is limited to spatial, chemical and temporal resolutions of cubic centimetres, mM and minutes. In fact, the signal of many metabolites is strong enough for detection, but the resonances significantly overlap, exacerbating identification and quantification. Besides, the signals of water and lipids are much stronger and dominate the entire spectrum. To suppress the background and isolate selected signals, usually, relaxation times, J-coupling and chemical shifts are used. Here, we propose methods to isolate the signals of selected molecular groups within endogenous metabolites by using long-lived spin states (LLS). We exemplify the method by preparing the LLSs of coupled protons in the endogenous molecules N-acetyl-L-aspartic acid (NAA). First, we store polarization in long-lived, double spin states, followed by saturation pulses before the spin order is converted back to observable magnetization or double quantum filters to suppress background signals. We show that LLS and zero-quantum coherences can be used to selectively prepare and measure the signals of chosen metabolites or drugs in the presence of water, inhomogeneous field and highly concentrated fatty solutions. The strong suppression of unwanted signals achieved allowed us to measure pH as a function of chemical shift difference.
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Affiliation(s)
- Andrey N Pravdivtsev
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Kiel, Kiel University, Kiel, Germany
| | - Frank D Sönnichsen
- Otto Diels Institute for Organic Chemistry, Kiel University, Kiel, Germany
| | - Jan-Bernd Hövener
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Kiel, Kiel University, Kiel, Germany
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7
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Kuo JCH, Goudge MC, Metzloff AE, Huang LT, Colville MJ, Park S, Zipfel WR, Paszek MJ. Litmus-Body: A Molecularly Targeted Sensor for Cell-Surface pH Measurements. ACS Sens 2020; 5:1555-1566. [PMID: 32337979 PMCID: PMC8858598 DOI: 10.1021/acssensors.9b02080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Precise pH measurements in the immediate environment of receptors is essential for elucidating the mechanisms through which local pH changes associated with diseased phenotypes manifest into aberrant receptor function. However, current pH sensors lack the ability to localize and target specific receptor molecules required to make these measurements. Herein we present the Litmus-body, our recombinant protein-based pH sensor, which through fusion to an anti-IgG nanobody is capable of piggybacking on IgG antibodies for molecular targeting to specific proteins on the cell surface. By normalizing a pH-dependent green fluorescent protein to a long Stokes shift red fluorophore or fluorescent protein, we readily report pH independent of sensor concentration using a single 488 nm excitation. Our Litmus-body showed excellent responsiveness in solution, with a greater than 50-fold change across the regime of physiological pH. The sensor was further validated for use on live cells and shown to be specific to the protein of interest. In complex with our Litmus-body, cetuximab therapeutic antibody retained its functionality in binding and inhibiting ligand interaction of its target epidermal growth factor receptor (EGFR), triggering receptor-mediated endocytosis that allowed tracking of local pH from the cell surface through the endocytic pathway.
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Affiliation(s)
- Joe Chin-Hun Kuo
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Marc C. Goudge
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Ann E. Metzloff
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Ling-Ting Huang
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, USA
| | | | - Sangwoo Park
- Field of Biophysics, Cornell University, Ithaca, NY 14853, USA
| | - Warren R. Zipfel
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
- Field of Biophysics, Cornell University, Ithaca, NY 14853, USA
- Kavli Institute at Cornell for Nanoscale Science, Ithaca, NY 14853, USA
| | - Matthew J. Paszek
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, USA
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
- Field of Biophysics, Cornell University, Ithaca, NY 14853, USA
- Kavli Institute at Cornell for Nanoscale Science, Ithaca, NY 14853, USA
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8
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Topping GJ, Hundshammer C, Nagel L, Grashei M, Aigner M, Skinner JG, Schulte RF, Schilling F. Acquisition strategies for spatially resolved magnetic resonance detection of hyperpolarized nuclei. MAGMA (NEW YORK, N.Y.) 2020; 33:221-256. [PMID: 31811491 PMCID: PMC7109201 DOI: 10.1007/s10334-019-00807-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 10/08/2019] [Accepted: 11/21/2019] [Indexed: 12/13/2022]
Abstract
Hyperpolarization is an emerging method in magnetic resonance imaging that allows nuclear spin polarization of gases or liquids to be temporarily enhanced by up to five or six orders of magnitude at clinically relevant field strengths and administered at high concentration to a subject at the time of measurement. This transient gain in signal has enabled the non-invasive detection and imaging of gas ventilation and diffusion in the lungs, perfusion in blood vessels and tissues, and metabolic conversion in cells, animals, and patients. The rapid development of this method is based on advances in polarizer technology, the availability of suitable probe isotopes and molecules, improved MRI hardware and pulse sequence development. Acquisition strategies for hyperpolarized nuclei are not yet standardized and are set up individually at most sites depending on the specific requirements of the probe, the object of interest, and the MRI hardware. This review provides a detailed introduction to spatially resolved detection of hyperpolarized nuclei and summarizes novel and previously established acquisition strategies for different key areas of application.
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Affiliation(s)
- Geoffrey J Topping
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Luca Nagel
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Martin Grashei
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Maximilian Aigner
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jason G Skinner
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | | | - Franz Schilling
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
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9
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Hundshammer C, Grashei M, Greiner A, Glaser SJ, Schilling F. pH Dependence of T 1 for 13 C-Labelled Small Molecules Commonly Used for Hyperpolarized Magnetic Resonance Imaging. Chemphyschem 2019; 20:798-802. [PMID: 30790394 DOI: 10.1002/cphc.201801098] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 02/07/2019] [Indexed: 01/18/2023]
Abstract
Hyperpolarization is a method to enhance the nuclear magnetic resonance signal by up to five orders of magnitude. However, the hyperpolarized (HP) state is transient and decays with the spin-lattice relaxation time (T1 ), which is on the order of a few tens of seconds. Here, we analyzed the pH-dependence of T1 for commonly used HP 13 C-labelled small molecules such as acetate, alanine, fumarate, lactate, pyruvate, urea and zymonic acid. For instance, the T1 of HP pyruvate is about 2.5 fold smaller at acidic pH (25 s, pH 1.7, B0 =1 T) compared to pH close to physiological conditions (66 s, pH 7.3, B0 =1 T). Our data shows that increasing hydronium ion concentrations shorten the T1 of protonated carboxylic acids of most of the analyzed molecules except lactate. Furthermore it suggests that intermolecular hydrogen bonding at low pH can contribute to this T1 shortening. In addition, enhanced proton exchange and chemical reactions at the pKa appear to be detrimental for the HP-state.
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Affiliation(s)
- Christian Hundshammer
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich.,Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748, Garching.,Graduate School of Bioengineering, Technical University of Munich, Boltzmannstr. 11, 85748, Garching
| | - Martin Grashei
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich
| | - Alexandra Greiner
- Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748, Garching
| | - Steffen J Glaser
- Department of Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748, Garching
| | - Franz Schilling
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich
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10
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Köcher SS, Düwel S, Hundshammer C, Glaser SJ, Schilling F, Granwehr J, Scheurer C. Ab Initio Simulation of pH-Sensitive Biomarkers in Magnetic Resonance Imaging. J Phys Chem A 2018; 122:7983-7990. [PMID: 30222345 DOI: 10.1021/acs.jpca.8b04665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
An ab initio simulation scheme is introduced as a theoretical prescreening approach to facilitate and enhance the research for pH-sensitive biomarkers. The proton 1H and carbon 13C nuclear magnetic resonance (NMR) chemical shifts of the recently published marker for extracellular pH, [1,5-13C2]zymonic acid (ZA), and the as yet unpublished ( Z)-4-methyl-2-oxopent-3-enedioic acid (OMPD) were calculated with ab initio methods as a function of the pH. The influence of the aqueous solvent was taken into account either by an implicit solvent model or by explicit water molecules, where the latter improved the accuracy of the calculated chemical shifts considerably. The theoretically predicted chemical shifts allowed for a reliable NMR peak assignment. The p Ka value of the first deprotonation of ZA and OMPD was simulated successfully whereas the parametrization of the implicit solvent model does not allow for an accurate description of the second p Ka. The theoretical models reproduce the pH-induced chemical shift changes and the first p Ka with sufficient accuracy to establish the ab initio prescreening approach as a valuable support to guide the experimental search for pH-sensitive biomarkers.
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Affiliation(s)
- Simone S Köcher
- Chair for Theoretical Chemistry and Catalysis Research Center , Technische Universität München , Lichtenbergstr. 4 , D-85747 Garching , Germany.,Institute of Energy and Climate Research (IEK-9) , Forschungszentrum Jülich , D-52425 Jülich , Germany.,Institute of Technical and Macromolecular Chemistry , RWTH Aachen University , Worringerweg 1-2 , D-52074 Aachen , Germany
| | - Stephan Düwel
- Department of Nuclear Medicine, Klinikum rechts der Isar , Technische Universität München , Ismaninger Str. 22 , D-81675 München , Germany.,Department of Chemistry , Technische Universität München , Lichtenbergstr. 4 , D-85747 Garching , Germany.,Munich School of BioEngineering , Technische Universität München , Boltzmannstr. 11 , D-85748 Garching , Germany
| | - Christian Hundshammer
- Department of Nuclear Medicine, Klinikum rechts der Isar , Technische Universität München , Ismaninger Str. 22 , D-81675 München , Germany.,Department of Chemistry , Technische Universität München , Lichtenbergstr. 4 , D-85747 Garching , Germany
| | - Steffen J Glaser
- Department of Chemistry , Technische Universität München , Lichtenbergstr. 4 , D-85747 Garching , Germany
| | - Franz Schilling
- Department of Nuclear Medicine, Klinikum rechts der Isar , Technische Universität München , Ismaninger Str. 22 , D-81675 München , Germany
| | - Josef Granwehr
- Institute of Energy and Climate Research (IEK-9) , Forschungszentrum Jülich , D-52425 Jülich , Germany.,Institute of Technical and Macromolecular Chemistry , RWTH Aachen University , Worringerweg 1-2 , D-52074 Aachen , Germany
| | - Christoph Scheurer
- Chair for Theoretical Chemistry and Catalysis Research Center , Technische Universität München , Lichtenbergstr. 4 , D-85747 Garching , Germany
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11
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Léonce E, Dognon JP, Pitrat D, Mulatier JC, Brotin T, Berthault P. Accurate pH Sensing using Hyperpolarized 129
Xe NMR Spectroscopy. Chemistry 2018; 24:6534-6537. [DOI: 10.1002/chem.201800900] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Indexed: 01/16/2023]
Affiliation(s)
- Estelle Léonce
- NIMBE, CEA, CNRS; Université Paris Saclay, CEA Saclay; 91191 Gif-sur-Yvette France
| | - Jean-Pierre Dognon
- NIMBE, CEA, CNRS; Université Paris Saclay, CEA Saclay; 91191 Gif-sur-Yvette France
| | - Delphine Pitrat
- Laboratoire de Chimie de L'ENS LYON (UMR 5182); Ecole Normale Supérieure de Lyon; 46, Allée d'Italie 69364 Lyon Cedex 07 France
| | - Jean-Christophe Mulatier
- Laboratoire de Chimie de L'ENS LYON (UMR 5182); Ecole Normale Supérieure de Lyon; 46, Allée d'Italie 69364 Lyon Cedex 07 France
| | - Thierry Brotin
- Laboratoire de Chimie de L'ENS LYON (UMR 5182); Ecole Normale Supérieure de Lyon; 46, Allée d'Italie 69364 Lyon Cedex 07 France
| | - Patrick Berthault
- NIMBE, CEA, CNRS; Université Paris Saclay, CEA Saclay; 91191 Gif-sur-Yvette France
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12
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Hyperpolarized Amino Acid Derivatives as Multivalent Magnetic Resonance pH Sensor Molecules. SENSORS 2018; 18:s18020600. [PMID: 29462891 PMCID: PMC5856118 DOI: 10.3390/s18020600] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 02/07/2018] [Accepted: 02/08/2018] [Indexed: 11/17/2022]
Abstract
pH is a tightly regulated physiological parameter that is often altered in diseased states like cancer. The development of biosensors that can be used to non-invasively image pH with hyperpolarized (HP) magnetic resonance spectroscopic imaging has therefore recently gained tremendous interest. However, most of the known HP-sensors have only individually and not comprehensively been analyzed for their biocompatibility, their pH sensitivity under physiological conditions, and the effects of chemical derivatization on their logarithmic acid dissociation constant (pKa). Proteinogenic amino acids are biocompatible, can be hyperpolarized and have at least two pH sensitive moieties. However, they do not exhibit a pH sensitivity in the physiologically relevant pH range. Here, we developed a systematic approach to tailor the pKa of molecules using modifications of carbon chain length and derivatization rendering these molecules interesting for pH biosensing. Notably, we identified several derivatives such as [1-13C]serine amide and [1-13C]-2,3-diaminopropionic acid as novel pH sensors. They bear several spin-1/2 nuclei (13C, 15N, 31P) with high sensitivity up to 4.8 ppm/pH and we show that 13C spins can be hyperpolarized with dissolution dynamic polarization (DNP). Our findings elucidate the molecular mechanisms of chemical shift pH sensors that might help to design tailored probes for specific pH in vivo imaging applications.
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13
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Hundshammer C, Düwel S, Köcher SS, Gersch M, Feuerecker B, Scheurer C, Haase A, Glaser SJ, Schwaiger M, Schilling F. Deuteration of Hyperpolarized 13
C-Labeled Zymonic Acid Enables Sensitivity-Enhanced Dynamic MRI of pH. Chemphyschem 2017; 18:2422-2425. [DOI: 10.1002/cphc.201700779] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Indexed: 01/15/2023]
Affiliation(s)
- Christian Hundshammer
- Department of Nuclear Medicine; Klinikum rechts der Isar; Technical University of Munich; Ismaninger Str. 22 81675 München Germany
- Department of Chemistry; Technical University of Munich; Lichtenbergstr. 4 85748 Garching Germany
| | - Stephan Düwel
- Department of Nuclear Medicine; Klinikum rechts der Isar; Technical University of Munich; Ismaninger Str. 22 81675 München Germany
- Department of Chemistry; Technical University of Munich; Lichtenbergstr. 4 85748 Garching Germany
- Institute of Medical Engineering; Technical University of Munich; Boltzmannstr. 11 85748 Garching Germany
| | - Simone S. Köcher
- Department of Chemistry; Technical University of Munich; Lichtenbergstr. 4 85748 Garching Germany
- Institute of Energy and Climate Research (IEK-9); Forschungszentrum Jülich, Ostring O10 52425 Jülich Germany
| | - Malte Gersch
- Department of Chemistry; Technical University of Munich; Lichtenbergstr. 4 85748 Garching Germany
| | - Benedikt Feuerecker
- Department of Nuclear Medicine; Klinikum rechts der Isar; Technical University of Munich; Ismaninger Str. 22 81675 München Germany
| | - Christoph Scheurer
- Department of Chemistry; Technical University of Munich; Lichtenbergstr. 4 85748 Garching Germany
| | - Axel Haase
- Institute of Medical Engineering; Technical University of Munich; Boltzmannstr. 11 85748 Garching Germany
| | - Steffen J. Glaser
- Department of Chemistry; Technical University of Munich; Lichtenbergstr. 4 85748 Garching Germany
| | - Markus Schwaiger
- Department of Nuclear Medicine; Klinikum rechts der Isar; Technical University of Munich; Ismaninger Str. 22 81675 München Germany
| | - Franz Schilling
- Department of Nuclear Medicine; Klinikum rechts der Isar; Technical University of Munich; Ismaninger Str. 22 81675 München Germany
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