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Deuterium metabolic imaging phenotypes mouse glioblastoma heterogeneity through glucose turnover kinetics

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DataONE2025-02-28 更新2025-04-26 收录
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Glioblastomas are aggressive brain tumors with dismal prognosis. One of the main bottlenecks for developing more effective therapies for glioblastoma stems from their histologic and molecular heterogeneity, leading to distinct tumor microenvironments and disease phenotypes. Effectively characterizing these features would improve the clinical management of glioblastoma. Glucose flux rates through glycolysis and mitochondrial oxidation have been recently shown to quantitatively depict glioblastoma proliferation in mouse models (GL261 and CT2A tumors) using dynamic glucose-enhanced (DGE) deuterium spectroscopy. However, the spatial features of tumor microenvironment phenotypes remain hitherto unresolved. Here, we develop a DGE Deuterium Metabolic Imaging (DMI) approach for profiling tumor microenvironments through glucose conversion kinetics. Using a multimodal combination of tumor mouse models, novel strategies for spectroscopic imaging and noise attenuation, and histopathological correla..., Animals and cell lines This study was performed in strict accordance with European Directive 2010/63 and the Portuguese law (Decreto-Lei 113/2013), following the FELASA (Federation of European Laboratory Animal Science Associations) guidelines and recommendations concerning laboratory animal welfare, and aligned with the ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines. All animal experiments were performed at the Champalimaud Foundation Vivarium under project #05318, pre-approved by the competent institutional and national authorities: ORBEA (Champalimaud Foundation Animal Welfare Body) and DGAV (Direcção Geral de Alimentação e Veterinária), respectively. All the surgeries were performed under isoflurane anesthesia, and every effort was made to minimize suffering. A total of n=10 C57BL/6j male mice were used in this study, bred at the Champalimaud Foundation Vivarium, and housed with ad libitum access to food and water and 12h light cycles. GL261 mouse glioma cells..., , # Simoes\_eLife2024\_Data \[[https://doi.org/10.5061/dryad.905qfttwb](https://doi.org/10.5061/dryad.905qfttwb)]([https://doi.org/10.5061/dryad.905qfttwb](https://doi.org/10.5061/dryad.905qfttwb)) This dataset includes all the original and processed data, and respective code, generated during the study reported in the manuscript by Simões et al. eLife 2025, entitled \"Deuterium Metabolic Imaging Phenotypes Mouse Glioblastoma Heterogeneity Through Glucose Turnover Kinetics\", described there as supporting files. Briefly, the study reports a new MRI technique - dynamic glucose-enhance deuterium metabolic imaging (DGE-DMI) - that provides quantitative maps of glucose metabolism through different pathways fluxes in mouse glioblastoma, demonstrating potential as a non-invasive tool for in vivo metabolic phenotyping of aggressive brain tumors. DGE-DMI is applied to two cohorts of syngeneic mouse models of glioblastoma (CT2A and GL261), together with anatomical imaging (T2w-MRI), dynamic cont...
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2025-03-01
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