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Low JC, Cao J, Hesse F, Wright AJ, Tsyben A, Alshamleh I, Mair R, Brindle KM. Deuterium Metabolic Imaging Differentiates Glioblastoma Metabolic Subtypes and Detects Early Response to Chemoradiotherapy. Cancer Res 2024; 84:1996-2008. [PMID: 38635885 PMCID: PMC11176915 DOI: 10.1158/0008-5472.can-23-2552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 01/30/2024] [Accepted: 03/28/2024] [Indexed: 04/20/2024]
Abstract
Metabolic subtypes of glioblastoma (GBM) have different prognoses and responses to treatment. Deuterium metabolic imaging with 2H-labeled substrates is a potential approach to stratify patients into metabolic subtypes for targeted treatment. In this study, we used 2H magnetic resonance spectroscopy and magnetic resonance spectroscopic imaging (MRSI) measurements of [6,6'-2H2]glucose metabolism to identify metabolic subtypes and their responses to chemoradiotherapy in patient-derived GBM xenografts in vivo. The metabolism of patient-derived cells was first characterized in vitro by measuring the oxygen consumption rate, a marker of mitochondrial tricarboxylic acid cycle activity, as well as the extracellular acidification rate and 2H-labeled lactate production from [6,6'-2H2]glucose, which are markers of glycolytic activity. Two cell lines representative of a glycolytic subtype and two representative of a mitochondrial subtype were identified. 2H magnetic resonance spectroscopy and MRSI measurements showed similar concentrations of 2H-labeled glucose from [6,6'-2H2]glucose in all four tumor models when implanted orthotopically in mice. The glycolytic subtypes showed higher concentrations of 2H-labeled lactate than the mitochondrial subtypes and normal-appearing brain tissue, whereas the mitochondrial subtypes showed more glutamate/glutamine labeling, a surrogate for tricarboxylic acid cycle activity, than the glycolytic subtypes and normal-appearing brain tissue. The response of the tumors to chemoradiation could be detected within 24 hours of treatment completion, with the mitochondrial subtypes showing a decrease in both 2H-labeled glutamate/glutamine and lactate concentrations and glycolytic tumors showing a decrease in 2H-labeled lactate concentration. This technique has the potential to be used clinically for treatment selection and early detection of treatment response. SIGNIFICANCE Deuterium magnetic resonance spectroscopic imaging of glucose metabolism has the potential to differentiate between glycolytic and mitochondrial metabolic subtypes in glioblastoma and to evaluate early treatment responses, which could guide patient treatment.
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Affiliation(s)
- Jacob C.M. Low
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Jianbo Cao
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Friederike Hesse
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Alan J. Wright
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Anastasia Tsyben
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Islam Alshamleh
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Richard Mair
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Kevin M. Brindle
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, United Kingdom
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Pan F, Liu X, Wan J, Guo Y, Sun P, Zhang X, Wang J, Bao Q, Yang L. Advances and prospects in deuterium metabolic imaging (DMI): a systematic review of in vivo studies. Eur Radiol Exp 2024; 8:65. [PMID: 38825658 PMCID: PMC11144684 DOI: 10.1186/s41747-024-00464-y] [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: 12/10/2023] [Accepted: 04/02/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Deuterium metabolic imaging (DMI) has emerged as a promising non-invasive technique for studying metabolism in vivo. This review aims to summarize the current developments and discuss the futures in DMI technique in vivo. METHODS A systematic literature review was conducted based on the PRISMA 2020 statement by two authors. Specific technical details and potential applications of DMI in vivo were summarized, including strategies of deuterated metabolites detection, deuterium-labeled tracers and corresponding metabolic pathways in vivo, potential clinical applications, routes of tracer administration, quantitative evaluations of metabolisms, and spatial resolution. RESULTS Of the 2,248 articles initially retrieved, 34 were finally included, highlighting 2 strategies for detecting deuterated metabolites: direct and indirect DMI. Various deuterated tracers (e.g., [6,6'-2H2]glucose, [2,2,2'-2H3]acetate) were utilized in DMI to detect and quantify different metabolic pathways such as glycolysis, tricarboxylic acid cycle, and fatty acid oxidation. The quantifications (e.g., lactate level, lactate/glutamine and glutamate ratio) hold promise for diagnosing malignancies and assessing early anti-tumor treatment responses. Tracers can be administered orally, intravenously, or intraperitoneally, either through bolus administration or continuous infusion. For metabolic quantification, both serial time point methods (including kinetic analysis and calculation of area under the curves) and single time point quantifications are viable. However, insufficient spatial resolution remains a major challenge in DMI (e.g., 3.3-mL spatial resolution with 10-min acquisition at 3 T). CONCLUSIONS Enhancing spatial resolution can facilitate the clinical translation of DMI. Furthermore, optimizing tracer synthesis, administration protocols, and quantification methodologies will further enhance their clinical applicability. RELEVANCE STATEMENT Deuterium metabolic imaging, a promising non-invasive technique, is systematically discussed in this review for its current progression, limitations, and future directions in studying in vivo energetic metabolism, displaying a relevant clinical potential. KEY POINTS • Deuterium metabolic imaging (DMI) shows promise for studying in vivo energetic metabolism. • This review explores DMI's current state, limits, and future research directions comprehensively. • The clinical translation of DMI is mainly impeded by limitations in spatial resolution.
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Affiliation(s)
- Feng Pan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xinjie Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Jiayu Wan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yusheng Guo
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Peng Sun
- MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, 100600, China
| | - Xiaoxiao Zhang
- MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, 100600, China
| | - Jiazheng Wang
- MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, 100600, China
| | - Qingjia Bao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China.
| | - Lian Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Bøgh N, Vaeggemose M, Schulte RF, Hansen ESS, Laustsen C. Repeatability of deuterium metabolic imaging of healthy volunteers at 3 T. Eur Radiol Exp 2024; 8:44. [PMID: 38472611 PMCID: PMC10933246 DOI: 10.1186/s41747-024-00426-4] [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: 10/26/2023] [Accepted: 01/02/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Magnetic resonance (MR) imaging of deuterated glucose, termed deuterium metabolic imaging (DMI), is emerging as a biomarker of pathway-specific glucose metabolism in tumors. DMI is being studied as a useful marker of treatment response in a scan-rescan scenario. This study aims to evaluate the repeatability of brain DMI. METHODS A repeatability study was performed in healthy volunteers from December 2022 to March 2023. The participants consumed 75 g of [6,6'-2H2]glucose. The delivery of 2H-glucose to the brain and its conversion to 2H-glutamine + glutamate, 2H-lactate, and 2H-water DMI was imaged at baseline and at 30, 70, and 120 min. DMI was performed using MR spectroscopic imaging on a 3-T system equipped with a 1H/2H-tuned head coil. Coefficients of variation (CoV) were computed for estimation of repeatability and between-subject variability. In a set of exploratory analyses, the variability effects of region, processing, and normalization were estimated. RESULTS Six male participants were recruited, aged 34 ± 6.5 years (mean ± standard deviation). There was 42 ± 2.7 days between sessions. Whole-brain levels of glutamine + glutamate, lactate, and glucose increased to 3.22 ± 0.4 mM, 1.55 ± 0.3 mM, and 3 ± 0.7 mM, respectively. The best signal-to-noise ratio and repeatability was obtained at the 120-min timepoint. Here, the within-subject whole-brain CoVs were -10% for all metabolites, while the between-subject CoVs were -20%. CONCLUSIONS DMI of glucose and its downstream metabolites is feasible and repeatable on a clinical 3 T system. TRIAL REGISTRATION ClinicalTrials.gov, NCT05402566 , registered the 25th of May 2022. RELEVANCE STATEMENT Brain deuterium metabolic imaging of healthy volunteers is repeatable and feasible at clinical field strengths, enabling the study of shifts in tumor metabolism associated with treatment response. KEY POINTS • Deuterium metabolic imaging is an emerging tumor biomarker with unknown repeatability. • The repeatability of deuterium metabolic imaging is on par with FDG-PET. • The study of deuterium metabolic imaging in clinical populations is feasible.
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Affiliation(s)
- Nikolaj Bøgh
- The MR Research Centre, Dept. Of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark.
- A&E, Gødstrup Hospital, Herning, Denmark.
| | - Michael Vaeggemose
- The MR Research Centre, Dept. Of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark
- GE HealthCare, Brondby, Denmark
| | | | - Esben S S Hansen
- The MR Research Centre, Dept. Of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark
| | - Christoffer Laustsen
- The MR Research Centre, Dept. Of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus, Denmark
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Song KH, Ge X, Engelbach JA, Thio LL, Neil JJ, Ackerman JJH, Garbow JR. Subcutaneous deuterated substrate administration in mice: An alternative to tail vein infusion. Magn Reson Med 2024; 91:681-686. [PMID: 37849055 DOI: 10.1002/mrm.29888] [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: 06/30/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/19/2023]
Abstract
PURPOSE Tail-vein catheterization and subsequent in-magnet infusion is a common route of administration of deuterium (2 H)-labeled substrates in small-animal deuterium (D) MR studies. With mice, because of the tail vein's small diameter, this procedure is challenging. It requires considerable personnel training and practice, is prone to failure, and may preclude serial studies. Motivated by the need for an alternative, the time courses for common small-molecule deuterated substrates and downstream metabolites in brain following subcutaneous infusion were determined in mice and are presented herein. METHODS Three 2 H-labeled substrates-[6,6-2 H2 ]glucose, [2 H3 ]acetate, and [3,4,4,4-2 H4 ]beta-hydroxybutyrate-and 2 H2 O were administered to mice in-magnet via subcutaneous catheter. Brain time courses of the substrates and downstream metabolites (and semi-heavy water) were determined via single-voxel DMRS. RESULTS Subcutaneous catheter placement and substrate administration was readily accomplished with limited personnel training. Substrates reached pseudo-steady state in brain within ∼30-40 min of bolus infusion. Time constants characterizing the appearance in brain of deuterated substrates or semi-heavy water following 2 H2 O administration were similar (∼15 min). CONCLUSION Administration of deuterated substrates via subcutaneous catheter for in vivo DMRS experiments with mice is robust, requires limited personnel training, and enables substantial dosing. It is suitable for metabolic studies where pseudo-steady state substrate administration/accumulation is sufficient. It is particularly advantageous for serial longitudinal studies over an extended period because it avoids inevitable damage to the tail vein following multiple catheterizations.
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Affiliation(s)
- Kyu-Ho Song
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Xia Ge
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - John A Engelbach
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Liu Lin Thio
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jeffrey J Neil
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joseph J H Ackerman
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Chemistry, Washington University, St. Louis, Missouri, USA
- Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joel R Garbow
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
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Song KH, Ge X, Engelbach J, Rich KM, Ackerman JJH, Garbow JR. Deuterium Magnetic Resonance Spectroscopy Quantifies Tumor Fraction in a Mouse Model of a Mixed Radiation Necrosis / GL261-Glioblastoma Lesion. Mol Imaging Biol 2024; 26:173-178. [PMID: 37516675 PMCID: PMC11151282 DOI: 10.1007/s11307-023-01837-2] [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: 04/05/2023] [Revised: 06/26/2023] [Accepted: 07/05/2023] [Indexed: 07/31/2023]
Abstract
PURPOSE Distinguishing recurrent brain tumor from treatment effects, including late time-to-onset radiation necrosis (RN), presents an on-going challenge in post-treatment imaging of neuro-oncology patients. Experiments were performed in a novel mouse model that recapitulates the relevant clinical histologic features of recurrent glioblastoma growing in a RN environment, the mixed tumor/RN model. The goal of this work was to apply single-voxel deuterium (2H) magnetic resonance spectroscopy (MRS), in concert with administration of deuterated glucose, to determine if the metabolic signature of aerobic glycolysis (Warburg effect: glucose → lactate in the presence of O2), a distinguishing characteristic of proliferating tumor, provides a quantitative readout of the tumor fraction (percent) in a mixed tumor/RN lesion. PROCEDURES 2H MRS employed the SPin-ECho full-Intensity Acquired Localized (SPECIAL) MRS pulse sequence and outer volume suppression at 11.74 T. For each subject, a single 2H MRS voxel was placed over the mixed lesion as defined by contrast enhanced (CE) 1H T1-weighted MRI. Following intravenous administration of [6,6-2H2]glucose (Glc), 2H MRS monitored the glycolytic conversion to [3,3-2H2]lactate (Lac) and glutamate + glutamine (Glu + Gln = Glx). RESULTS Based on previous work, the tumor fraction of the mixed lesion was quantified as the ratio of tumor volume, defined by 1H magnetization transfer experiments, vs. the total mixed-lesion volume. Metabolite 2H MR spectral-amplitude values were converted to metabolite concentrations using the natural-abundance semi-heavy water (1HO2H) resonance as an internal concentration standard. The 2H MR-determined [Lac] / [Glx] ratio was strongly linearly correlated with tumor fraction in the mixed lesion (n = 9), Pearson's r = 0.87, and 77% of the variation in the [Lac] / [Glx] ratio was due to tumor percent r2 = 0.77. CONCLUSIONS This preclinical study supports the proposal that 2H MR could occupy a well-defined secondary role when standard-of-care 1H imaging is non-diagnostic regarding tumor presence and/or response to therapy.
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Affiliation(s)
- Kyu-Ho Song
- Department of Radiology, Biomedical MR Center, Washington University, 660 South Euclid Avenue, MO 63110, St. Louis, MO, Mail Stop Code: MSC 8227-0082-02, USA
| | - Xia Ge
- Department of Radiology, Biomedical MR Center, Washington University, 660 South Euclid Avenue, MO 63110, St. Louis, MO, Mail Stop Code: MSC 8227-0082-02, USA
| | - John Engelbach
- Department of Radiology, Biomedical MR Center, Washington University, 660 South Euclid Avenue, MO 63110, St. Louis, MO, Mail Stop Code: MSC 8227-0082-02, USA
| | - Keith M Rich
- Department of Neurosurgery, Washington University, St. Louis, MO, USA
| | - Joseph J H Ackerman
- Department of Radiology, Biomedical MR Center, Washington University, 660 South Euclid Avenue, MO 63110, St. Louis, MO, Mail Stop Code: MSC 8227-0082-02, USA
- Department of Chemistry, Washington University, St. Louis, MO, USA
- Department of Internal Medicine, Washington University, St. Louis, MO, USA
- Alvin J. Siteman Cancer Center, Washington University, MO, St. Louis, USA
| | - Joel R Garbow
- Department of Radiology, Biomedical MR Center, Washington University, 660 South Euclid Avenue, MO 63110, St. Louis, MO, Mail Stop Code: MSC 8227-0082-02, USA.
- Alvin J. Siteman Cancer Center, Washington University, MO, St. Louis, USA.
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Soni ND, Swain A, Jacobs P, Juul H, Armbruster R, Nanga RPR, Nath K, Wiers C, Detre J, Reddy R. In vivo assessment of β-hydroxybutyrate metabolism in mouse brain using deuterium ( 2 H) MRS. Magn Reson Med 2023; 90:259-269. [PMID: 36971349 PMCID: PMC10662955 DOI: 10.1002/mrm.29648] [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: 11/04/2022] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 05/01/2023]
Abstract
PURPOSE To monitor the metabolic turnover of β-hydroxybutyrate (BHB) oxidation using 2 H-MRS in conjunction with intravenous administration of 2 H labeled BHB. METHODS Nine-month-old mice were infused with [3,4,4,4]-2 H4 -BHB (d4 -BHB; 3.11 g/kg) through the tail vein using a bolus variable infusion rate for a period of 90 min. The labeling of downstream cerebral metabolites from the oxidative metabolism of d4 -BHB was monitored using 2 H-MRS spectra acquired with a home-built 2 H surface coil on a 9.4T preclinical MR scanner with a temporal resolution of 6.25 min. An exponential model was fit to the BHB and glutamate/glutamine (Glx) turnover curves to determine rate constants of metabolite turnover and to aid in the visualization of metabolite time courses. RESULTS Deuterium label was incorporated into Glx from BHB metabolism through the tricarboxylic acid (TCA) cycle, with an increase in the level of [4,4]-2 H2 -Glx (d2 -Glx) over time and reaching a quasi-steady state concentration of ∼0.6 ± 0.1 mM following 30 min of infusion. Complete oxidative metabolic breakdown of d4 -BHB also resulted in the formation of semi-heavy water (HDO), with a four-fold (10.1 to ∼42.1 ± 7.3 mM) linear (R2 = 0.998) increase in its concentration by the end of infusion. The rate constant of Glx turnover from d4 -BHB metabolism was determined to be 0.034 ± 0.004 min-1 . CONCLUSION 2 H-MRS can be used to monitor the cerebral metabolism of BHB with its deuterated form by measuring the downstream labeling of Glx. The integration of 2 H-MRS with deuterated BHB substrate provides an alternative and clinically promising MRS tool to detect neurometabolic fluxes in healthy and disease conditions.
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Affiliation(s)
- Narayan Datt Soni
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anshuman Swain
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA
| | - Paul Jacobs
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA
| | - Halvor Juul
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Armbruster
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Prakash Reddy Nanga
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kavindra Nath
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Corinde Wiers
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - John Detre
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ravinder Reddy
- Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Obrecht M, Zurbruegg S, Accart N, Lambert C, Doelemeyer A, Ledermann B, Beckmann N. Magnetic resonance imaging and ultrasound elastography in the context of preclinical pharmacological research: significance for the 3R principles. Front Pharmacol 2023; 14:1177421. [PMID: 37448960 PMCID: PMC10337591 DOI: 10.3389/fphar.2023.1177421] [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: 03/21/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
The 3Rs principles-reduction, refinement, replacement-are at the core of preclinical research within drug discovery, which still relies to a great extent on the availability of models of disease in animals. Minimizing their distress, reducing their number as well as searching for means to replace them in experimental studies are constant objectives in this area. Due to its non-invasive character in vivo imaging supports these efforts by enabling repeated longitudinal assessments in each animal which serves as its own control, thereby enabling to reduce considerably the animal utilization in the experiments. The repetitive monitoring of pathology progression and the effects of therapy becomes feasible by assessment of quantitative biomarkers. Moreover, imaging has translational prospects by facilitating the comparison of studies performed in small rodents and humans. Also, learnings from the clinic may be potentially back-translated to preclinical settings and therefore contribute to refining animal investigations. By concentrating on activities around the application of magnetic resonance imaging (MRI) and ultrasound elastography to small rodent models of disease, we aim to illustrate how in vivo imaging contributes primarily to reduction and refinement in the context of pharmacological research.
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Affiliation(s)
- Michael Obrecht
- Diseases of Aging and Regenerative Medicines, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Stefan Zurbruegg
- Neurosciences Department, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Nathalie Accart
- Diseases of Aging and Regenerative Medicines, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Christian Lambert
- Diseases of Aging and Regenerative Medicines, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Arno Doelemeyer
- Diseases of Aging and Regenerative Medicines, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Birgit Ledermann
- 3Rs Leader, Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Nicolau Beckmann
- Diseases of Aging and Regenerative Medicines, Novartis Institutes for BioMedical Research, Basel, Switzerland
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Cocking D, Damion RA, Franks H, Jaconelli M, Wilkinson D, Brook M, Auer DP, Bowtell R. Deuterium brain imaging at 7T during D 2 O dosing. Magn Reson Med 2023; 89:1514-1521. [PMID: 36426762 PMCID: PMC10099797 DOI: 10.1002/mrm.29539] [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: 09/27/2022] [Revised: 11/01/2022] [Accepted: 11/06/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE To characterize the (2 H) deuterium MR signal measured from human brain at 7T in participants loading with D2 O to ˜1.5% enrichment over a six-week period. METHODS 2 H spectroscopy and imaging measurements were used to track the time-course of 2 H enrichment within the brain during the initial eight-hour loading period in two participants. Multi-echo gradient echo (MEGE) images were acquired at a range of TR values from four participants during the steady-state loading period and used for mapping 2 H T1 and T2 * relaxation times. Co-registration to higher resolution 1 H images allowed T1 and T2 * relaxation times of deuterium in HDO in cerebrospinal fluid (CSF), gray matter (GM), and white matter (WM) to be estimated. RESULTS 2 H concentrations measured during the eight-hour loading were consistent with values estimated from cumulative D2 O dose and body mass. Signal changes measured from three different regions of the brain during loading showed similar time-courses. After summing over echoes, gradient echo brain images acquired in 7.5 minutes with a voxel volume of 0.36 ml showed an SNR of ˜16 in subjects loaded to 1.5%. T1 -values for deuterium in HDO were significantly shorter than corresponding values for 1 H in H2 O, while T2 * values were similar. 2 H relaxation times in CSF were significantly longer than in GM or WM. CONCLUSION Deuterium MR Measurements at 7T were used to track the increase in concentration of 2 H in brain during heavy water loading. 2 H T1 and T2 * relaxation times from water in GM, WM, and CSF are reported.
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Affiliation(s)
- Daniel Cocking
- School of Physics and AstronomyUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging CentreUniversity of NottinghamNottinghamUK
| | - Robin A. Damion
- Sir Peter Mansfield Imaging CentreUniversity of NottinghamNottinghamUK
- Mental Health and Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research FacilitiesQueen's Medical CentreNottinghamUK
| | - Hester Franks
- Centre for Cancer Sciences Biodiscovery Institute, School of MedicineUniversity of NottinghamNottinghamUK
- Department of OncologyNottingham University Hospitals NHS TrustNottinghamUK
| | - Matthew Jaconelli
- MRC‐Versus Arthritis Centre for Musculoskeletal Ageing ResearchUniversity of NottinghamNottinghamUK
- School of Life SciencesUniversity of NottinghamNottinghamUK
| | - Daniel Wilkinson
- MRC‐Versus Arthritis Centre for Musculoskeletal Ageing ResearchUniversity of NottinghamNottinghamUK
- Division of Medical Sciences and Graduate Entry MedicineSchool of Medicine, University of NottinghamNottinghamUK
| | - Matthew Brook
- NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research FacilitiesQueen's Medical CentreNottinghamUK
- MRC‐Versus Arthritis Centre for Musculoskeletal Ageing ResearchUniversity of NottinghamNottinghamUK
- School of Life SciencesUniversity of NottinghamNottinghamUK
| | - Dorothee P. Auer
- Sir Peter Mansfield Imaging CentreUniversity of NottinghamNottinghamUK
- Mental Health and Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research FacilitiesQueen's Medical CentreNottinghamUK
| | - Richard Bowtell
- School of Physics and AstronomyUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging CentreUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research FacilitiesQueen's Medical CentreNottinghamUK
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Chen Ming Low J, Wright AJ, Hesse F, Cao J, Brindle KM. Metabolic imaging with deuterium labeled substrates. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2023; 134-135:39-51. [PMID: 37321757 DOI: 10.1016/j.pnmrs.2023.02.002] [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: 01/06/2023] [Revised: 01/12/2023] [Accepted: 02/07/2023] [Indexed: 06/17/2023]
Abstract
Deuterium metabolic imaging (DMI) is an emerging clinically-applicable technique for the non-invasive investigation of tissue metabolism. The generally short T1 values of 2H-labeled metabolites in vivo can compensate for the relatively low sensitivity of detection by allowing rapid signal acquisition in the absence of significant signal saturation. Studies with deuterated substrates, including [6,6'-2H2]glucose, [2H3]acetate, [2H9]choline and [2,3-2H2]fumarate have demonstrated the considerable potential of DMI for imaging tissue metabolism and cell death in vivo. The technique is evaluated here in comparison with established metabolic imaging techniques, including PET measurements of 2-deoxy-2-[18F]fluoro-d-glucose (FDG) uptake and 13C MR imaging of the metabolism of hyperpolarized 13C-labeled substrates.
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Affiliation(s)
- Jacob Chen Ming Low
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Alan J Wright
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Friederike Hesse
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Jianbo Cao
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
| | - Kevin M Brindle
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
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10
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Roig ES, De Feyter HM, Nixon TW, Ruhm L, Nikulin AV, Scheffler K, Avdievich NI, Henning A, de Graaf RA. Deuterium metabolic imaging of the human brain in vivo at 7 T. Magn Reson Med 2023; 89:29-39. [PMID: 36063499 PMCID: PMC9756916 DOI: 10.1002/mrm.29439] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/25/2022] [Accepted: 08/11/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE To explore the potential of deuterium metabolic imaging (DMI) in the human brain in vivo at 7 T, using a multi-element deuterium (2 H) RF coil for 3D volume coverage. METHODS 1 H-MR images and localized 2 H MR spectra were acquired in vivo in the human brain of 3 healthy subjects to generate DMI maps of 2 H-labeled water, glucose, and glutamate/glutamine (Glx). In addition, non-localized 2 H-MR spectra were acquired both in vivo and in vitro to determine T1 and T2 relaxation times of deuterated metabolites at 7 T. The performance of the 2 H coil was assessed through numeric simulations and experimentally acquired B1 + maps. RESULTS 3D DMI maps covering the entire human brain in vivo were obtained from well-resolved deuterated (2 H) metabolite resonances of water, glucose, and Glx. The T1 and T2 relaxation times were consistent with those reported at adjacent field strengths. Experimental B1 + maps were in good agreement with simulations, indicating efficient and homogeneous B1 + transmission and low RF power deposition for 2 H, consistent with a similar array coil design reported at 9.4 T. CONCLUSION Here, we have demonstrated the successful implementation of 3D DMI in the human brain in vivo at 7 T. The spatial and temporal nominal resolutions achieved at 7 T (i.e., 2.7 mL in 28 min, respectively) were close to those achieved at 9.4 T and greatly outperformed DMI at lower magnetic fields. DMI at 7 T and beyond has clear potential in applications dealing with small brain lesions.
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Affiliation(s)
- Eulalia Serés Roig
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Henk M. De Feyter
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Terence W. Nixon
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Loreen Ruhm
- High-Field MR Centre, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Advanced Imaging Research Centre, University of Texas Southwestern Medical Centre, Dallas, Texas, USA
| | - Anton V. Nikulin
- High-Field MR Centre, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Department of Biomedical Magnetic Resonance, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Klaus Scheffler
- High-Field MR Centre, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Department of Biomedical Magnetic Resonance, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Nikolai I. Avdievich
- High-Field MR Centre, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Anke Henning
- High-Field MR Centre, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Advanced Imaging Research Centre, University of Texas Southwestern Medical Centre, Dallas, Texas, USA
| | - Robin A. de Graaf
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
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11
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2-Deoxyglucose, an Inhibitor of Glycolysis, Enhances the Oncolytic Effect of Coxsackievirus. Cancers (Basel) 2022; 14:cancers14225611. [PMID: 36428704 PMCID: PMC9688421 DOI: 10.3390/cancers14225611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 11/17/2022] Open
Abstract
Glioblastoma multiforme (GBM) is one of the most common types of brain tumor. Despite intensive research, patients with GBM have a poor prognosis due to a very high rate of relapse and significant side effects of the treatment, with a median survival of 14.6 months. Oncolytic viruses are considered a promising strategy to eliminate GBM and other types of cancer, and several viruses have already been introduced into clinical practice. However, identification of the factors that underly the sensitivity of tumor species to oncolytic viruses or that modulate their clinical efficacy remains an important target. Here, we show that Coxsackievirus B5 (CVB5) demonstrates high oncolytic potential towards GBM primary cell species and cell lines. Moreover, 2-deoxyglucose (2DG), an inhibitor of glycolysis, potentiates the cytopathic effects of CVB5 in most of the cancer cell lines tested. The cells in which the inhibition of glycolysis enhanced oncolysis are characterized by high mitochondrial respiratory activity and glycolytic capacity, as determined by Seahorse analysis. Thus, 2-deoxyglucose and other analogs should be considered as adjuvants for oncolytic therapy of glioblastoma multiforme.
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12
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Ge X, Song KH, Engelbach JA, Yuan L, Gao F, Dahiya S, Rich KM, Ackerman JJH, Garbow JR. Distinguishing Tumor Admixed in a Radiation Necrosis (RN) Background: 1H and 2H MR With a Novel Mouse Brain-Tumor/RN Model. Front Oncol 2022; 12:885480. [PMID: 35712497 PMCID: PMC9196939 DOI: 10.3389/fonc.2022.885480] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/27/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose Distinguishing radiation necrosis (RN) from recurrent tumor remains a vexing clinical problem with important health-care consequences for neuro-oncology patients. Here, mouse models of pure tumor, pure RN, and admixed RN/tumor are employed to evaluate hydrogen (1H) and deuterium (2H) magnetic resonance methods for distinguishing RN vs. tumor. Furthermore, proof-of-principle, range-finding deuterium (2H) metabolic magnetic resonance is employed to assess glycolytic signatures distinguishing RN vs. tumor. Materials and Methods A pipeline of common quantitative 1H MRI contrasts, including an improved magnetization transfer ratio (MTR) sequence, and 2H magnetic resonance spectroscopy (MRS) following administration of 2H-labeled glucose, was applied to C57BL/6 mouse models of the following: (i) late time-to-onset RN, occurring 4–5 weeks post focal 50-Gy (50% isodose) Gamma Knife irradiation to the left cerebral hemisphere, (ii) glioblastoma, growing ~18–24 days post implantation of 50,000 mouse GL261 tumor cells into the left cerebral hemisphere, and (iii) mixed model, with GL261 tumor growing within a region of radiation necrosis (1H MRI only). Control C57BL/6 mice were also examined by 2H metabolic magnetic resonance. Results Differences in quantitative 1H MRI parametric values of R1, R2, ADC, and MTR comparing pure tumor vs. pure RN were all highly statistically significant. Differences in these parameter values and DCEAUC for tumor vs. RN in the mixed model (tumor growing in an RN background) are also all significant, demonstrating that these contrasts—in particular, MTR—can effectively distinguish tumor vs. RN. Additionally, quantitative 2H MRS showed a highly statistically significant dominance of aerobic glycolysis (glucose ➔ lactate; fermentation, Warburg effect) in the tumor vs. oxidative respiration (glucose ➔ TCA cycle) in the RN and control brain. Conclusions These findings, employing a pipeline of quantitative 1H MRI contrasts and 2H MRS following administration of 2H-labeled glucose, suggest a pathway for substantially improving the discrimination of tumor vs. RN in the clinic.
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Affiliation(s)
- Xia Ge
- Department of Radiology, Washington University, Saint Louis, MO, United States
| | - Kyu-Ho Song
- Department of Radiology, Washington University, Saint Louis, MO, United States
| | - John A Engelbach
- Department of Radiology, Washington University, Saint Louis, MO, United States
| | - Liya Yuan
- Department of Neurosurgery, Washington University, Saint Louis, MO, United States
| | - Feng Gao
- Department of Surgery, Washington University, Saint Louis, MO, United States
| | - Sonika Dahiya
- Division of Neuropathology, Department of Pathology and Immunology, Washington University, Saint Louis, MO, United States
| | - Keith M Rich
- Department of Neurosurgery, Washington University, Saint Louis, MO, United States
| | - Joseph J H Ackerman
- Department of Radiology, Washington University, Saint Louis, MO, United States.,Alvin J. Siteman Cancer Center, Washington University, Saint Louis, MO, United States.,Department of Internal Medicine, Washington University, Saint Louis, MO, United States.,Department of Chemistry, Washington University, Saint Louis, MO, United States
| | - Joel R Garbow
- Department of Radiology, Washington University, Saint Louis, MO, United States.,Alvin J. Siteman Cancer Center, Washington University, Saint Louis, MO, United States
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