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Kirby A, Graf D, Suchý M, Calvert ND, Charlton TA, Ben RN, Addison CL, Shuhendler A. It's a Trap! Aldolase-Prescribed C 4 Deoxyradiofluorination Affords Intracellular Trapping and the Tracing of Fructose Metabolism by PET. J Nucl Med 2024; 65:475-480. [PMID: 38272705 DOI: 10.2967/jnumed.123.266905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 01/27/2024] Open
Abstract
Fructose metabolism has been implicated in various diseases, including metabolic disorders, neurodegenerative disorders, cardiac disorders, and cancer. However, the limited availability of a quantitative imaging radiotracer has hindered its exploration in pathology and diagnostic imaging. Methods: We adopted a molecular design strategy based on the catalytic mechanism of aldolase, a key enzyme in fructolysis. We successfully synthesized a radiodeoxyfluorinated fructose analog, [18F]4-fluoro-4-deoxyfructose ([18F]4-FDF), in high molar activity. Results: Through heavy isotope tracing by mass spectrometry, we demonstrated that C4-deoxyfluorination of fructose led to effective trapping as fluorodeoxysorbitol and fluorodeoxyfructose-1-phosphate in vitro, unlike C1- and C6-fluorinated analogs that resulted in fluorolactate accumulation. This observation was consistent in vivo, where [18F]6-fluoro-6-deoxyfructose displayed substantial bone uptake due to metabolic processing whereas [18F]4-FDF did not. Importantly, [18F]4-FDF exhibited low uptake in healthy brain and heart tissues, known for their high glycolytic activity and background levels of [18F]FDG uptake. [18F]4-FDF PET/CT allowed for sensitive mapping of neuro- and cardioinflammatory responses to systemic lipopolysaccharide administration. Conclusion: Our study highlights the significance of aldolase-guided C4 radiodeoxyfluorination of fructose in enabling effective radiotracer trapping, overcoming limitations of C1 and C6 radioanalogs toward a clinically viable tool for imaging fructolysis in highly glycolytic tissues.
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Affiliation(s)
- Alexia Kirby
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada;
- Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Dominic Graf
- Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Mojmír Suchý
- Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Nicholas D Calvert
- Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Robert N Ben
- Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Christina L Addison
- Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Ontario, Canada; and
| | - Adam Shuhendler
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada;
- Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Brain and Mind Research Institute, University of Ottawa, Ottawa, Ontario, Canada
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Ferrante L, Rajpoot K, Jeeves M, Ludwig C. Automated analysis for multiplet identification from ultra-high resolution 2D- 1H, 13C-HSQC NMR spectra. Wellcome Open Res 2023; 7:262. [PMID: 37008249 PMCID: PMC10050905 DOI: 10.12688/wellcomeopenres.18248.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2023] [Indexed: 05/26/2023] Open
Abstract
Background: Metabolism is essential for cell survival and proliferation. A deep understanding of the metabolic network and its regulatory processes is often vital to understand and overcome disease. Stable isotope tracing of metabolism using nuclear magnetic resonance (NMR) and mass spectrometry (MS) is a powerful tool to derive mechanistic information of metabolic network activity. However, to retrieve meaningful information, automated tools are urgently needed to analyse these complex spectra and eliminate the bias introduced by manual analysis. Here, we present a data-driven algorithm to automatically annotate and analyse NMR signal multiplets in 2D- 1H, 13C-HSQC NMR spectra arising from 13C - 13C scalar couplings. The algorithm minimises the need for user input to guide the analysis of 2D- 1H, 13C-HSQC NMR spectra by performing automated peak picking and multiplet analysis. This enables non-NMR specialists to use this technology. The algorithm has been integrated into the existing MetaboLab software package. Methods: To evaluate the algorithm performance two criteria are tested: is the peak correctly annotated and secondly how confident is the algorithm with its analysis. For the latter a coefficient of determination is introduced. Three datasets were used for testing. The first was to test reproducibility with three biological replicates, the second tested the robustness of the algorithm for different amounts of scaling of the apparent J-coupling constants and the third focused on different sampling amounts. Results: The algorithm annotated overall >90% of NMR signals correctly with average coefficient of determination ρ of 94.06 ± 5.08%, 95.47 ± 7.20% and 80.47 ± 20.98% respectively. Conclusions: Our results indicate that the proposed algorithm accurately identifies and analyses NMR signal multiplets in ultra-high resolution 2D- 1H, 13C-HSQC NMR spectra. It is robust to signal splitting enhancement and up to 25% of non-uniform sampling.
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Affiliation(s)
- Laura Ferrante
- School of Computer Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Kashif Rajpoot
- University of Birmingham Dubai, Dubai International Academic City, United Arab Emirates
| | - Mark Jeeves
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Christian Ludwig
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, B15 2TT, UK
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Lee WC, Ji X, Nissim I, Long F. Malic Enzyme Couples Mitochondria with Aerobic Glycolysis in Osteoblasts. Cell Rep 2021; 32:108108. [PMID: 32905773 PMCID: PMC8183612 DOI: 10.1016/j.celrep.2020.108108] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/24/2020] [Accepted: 08/13/2020] [Indexed: 01/12/2023] Open
Abstract
The metabolic program of osteoblasts, the chief bone-making cells, remains incompletely understood. Here in murine calvarial cells, we establish that osteoblast differentiation under aerobic conditions is coupled with a marked increase in glucose consumption and lactate production but reduced oxygen consumption. As a result, aerobic glycolysis accounts for approximately 80% of the ATP production in mature osteoblasts. In vivo tracing with 13C-labeled glucose in the mouse shows that glucose in bone is readily metabolized to lactate but not organic acids in the TCA cycle. Glucose tracing in osteoblast cultures reveals that pyruvate is carboxylated to form malate integral to the malate-aspartate shuttle. RNA sequencing (RNA-seq) identifies Me2, encoding the mitochondrial NAD-dependent isoform of malic enzyme, as being specifically upregulated during osteoblast differentiation. Knockdown of Me2 markedly reduces the glycolytic flux and impairs osteoblast proliferation and differentiation. Thus, the mitochondrial malic enzyme functionally couples the mitochondria with aerobic glycolysis in osteoblasts. Lee et al. discover that mature osteoblasts produce 80% of the energy from glycolysis even under aerobic conditions. In vivo metabolic tracing identifies lactate as the predominant fate of glucose in bone. The robust glycolysis is supported by malic enzyme 2 and the malate-aspartate shuttle.
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Affiliation(s)
- Wen-Chih Lee
- Translational Research Program in Pediatric Orthopedics, The Children's Hospital of Philadelphia, PA 19104, USA
| | - Xing Ji
- Translational Research Program in Pediatric Orthopedics, The Children's Hospital of Philadelphia, PA 19104, USA
| | - Itzhak Nissim
- Division of Genetics and Metabolism, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pediatrics, Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Fanxin Long
- Translational Research Program in Pediatric Orthopedics, The Children's Hospital of Philadelphia, PA 19104, USA; Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Engelmann NJ, Campbell JK, Rogers RB, Rupassara SI, Garlick PJ, Lila MA, Erdman JW. Screening and selection of high carotenoid producing in vitro tomato cell culture lines for [13C]-carotenoid production. J Agric Food Chem 2010; 58:9979-9987. [PMID: 20731353 PMCID: PMC3172872 DOI: 10.1021/jf101942x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Isotopically labeled tomato carotenoids, phytoene, phytofluene, and lycopene, are needed for mammalian bioavailability and metabolism research but are currently commercially unavailable. The goals of this work were to establish and screen multiple in vitro tomato cell lines for carotenoid production, test the best producers with or without the bleaching herbicides, norflurazon and 2-(4-chlorophenyl-thio)triethylamine (CPTA), and to use the greatest carotenoid accumulator for in vitro 13C-labeling. Different Solanum lycopersicum allelic variants for high lycopene and varying herbicide treatments were compared for carotenoid accumulation in callus and suspension culture, and cell suspension cultures of the hp-1 line were chosen for isotopic labeling. When grown with [U]-13C-glucose and treated with CPTA, hp-1 suspensions yielded highly enriched 13C-lycopene with 45% of lycopene in the M+40 form and 88% in the M+35 to M+40 isotopomer range. To the authors' knowledge this is the first report of highly enriched 13C-carotenoid production from in vitro plant cell culture.
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Affiliation(s)
- Nancy J. Engelmann
- Division of Nutritional Sciences, 905 South Goodwin Avenue, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
| | - Jessica K. Campbell
- Division of Nutritional Sciences, 905 South Goodwin Avenue, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
| | - Randy B. Rogers
- Department of Natural Resources and Environmental Sciences, 1201 South Dorner Drive, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
| | - S. Indumathie Rupassara
- Department of Animal Sciences, 1207 West Gregory Drive, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
| | - Peter J. Garlick
- Division of Nutritional Sciences, 905 South Goodwin Avenue, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
- Department of Animal Sciences, 1207 West Gregory Drive, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
| | - Mary Ann Lila
- Division of Nutritional Sciences, 905 South Goodwin Avenue, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
- Department of Animal Sciences, 1207 West Gregory Drive, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
| | - John W. Erdman
- Division of Nutritional Sciences, 905 South Goodwin Avenue, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
- Department of Food Science and Human Nutrition, 905 South Goodwin Avenue, University of Illinois–Urbana/Champaign, Urbana, Illinois 61801
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