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  Metabolic Tumor Imaging with Rapidly Signal-Enhanced 1-13C-Pyruvate-d3

Hune, T., Mamone, S., Schröder, H., Jagtap, A. P., Sternkopf, S., Stevanato, G., et al. (2023). Metabolic Tumor Imaging with Rapidly Signal-Enhanced 1-13C-Pyruvate-d3. ChemPhysChem, 24(2): e202200615. doi:10.1002/cphc.202200615.

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Genre: Journal Article
Other : Metabolic Tumor Imaging with Rapidly Signal-Enhanced 1-13C-Pyruvate-d3
Other : Metabolic Tumor Imaging with Rapidly Signal-Enhanced 1-C-13-Pyruvate-d(3)

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ChemPhysChem - 2022.pdf (Publisher version), 630KB
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ChemPhysChem - 2022.pdf
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 Creators:
Hune, Theresa1, Author
Mamone, Salvatore1, Author           
Schröder, Henning1, Author           
Jagtap, Anil P.1, Author           
Sternkopf, Sonja1, Author           
Stevanato, Gabriele1, Author           
Korchak, Sergey1, Author           
Fokken, Claudia1, Author
Müller, Christoph A., Author
Schmidt, Andreas B., Author
Becker, Dorothea2, Author           
Glöggler, Stefan1, Author           
Affiliations:
1Research Group of NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, ou_3350277              
2Department of NMR Based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, Göttingen, DE, ou_3350124              

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 Abstract: The metabolism of malignant cells differs significantly from that of healthy cells and thus, it is possible to perform metabolic imaging to reveal not only the exact location of a tumor, but also intratumoral areas of high metabolic activity. Herein, we demonstrate the feasibility of metabolic tumor imaging using signal-enhanced 1-13C-pyruvate-d3, which is rapidly enhanced via para-hydrogen, and thus, the signal is amplified by several orders of magnitudes in less than a minute. Using as a model, human melanoma xenografts injected with signal-enhanced 1-13C-pyruvate-d3, we show that the conversion of pyruvate into lactate can be monitored along with its kinetics, which could pave the way for rapidly detecting and monitoring changes in tumor metabolism.

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Language(s): eng - English
 Dates: 2022-09-142023-01-17
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1002/cphc.202200615
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Project name : Deutsche Forschungsgemeinschaft (DFG). Grant Numbers: 418416679, 426677227, 450146057 European Research Council (ERC). Grant Number: 949180 German Cancer Consortium (DKTK) DFG. Grant Numbers: SCHM 3694/1-1, SCHM 3694/2-1, SFB 1479
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Title: ChemPhysChem
Source Genre: Journal
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Publ. Info: Weinheim, Germany : Wiley-VCH
Pages: - Volume / Issue: 24 (2) Sequence Number: e202200615 Start / End Page: - Identifier: ISSN: 1439-4235
CoNE: https://pure.mpg.de/cone/journals/resource/954925409790