Direct mapping of 19F in 19FDG-6P in brain tissue at subcellular resolution using soft X-ray fluorescence
| Autor: | Alessandra Gianoncelli, Rolf Gruetter, Maya Kiskinova, Burkhard Kaulich, Mario Lepore, Carole Poitry-Yamate, G. Kourousias |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Nervous system
History Pathology medicine.medical_specialty Central nervous system Context (language use) Biology Matrix (biology) CIBM-PC ddc:616.0757 030218 nuclear medicine & medical imaging Education 03 medical and health sciences 0302 clinical medicine In vivo CIBM-PET medicine Neuropil 030304 developmental biology CIBM-AIT 0303 health sciences Computer Science Applications medicine.anatomical_structure Cytoarchitecture Biophysics Intracellular |
| Zdroj: | Journal of Physics: Conference Series, Vol. 463 (2013) P. 012003 XRM2012, 11th International Conference on X-ray Microscopy, vol. 463, pp. 1-7 |
| ISSN: | 1742-6588 |
| Popis: | Low energy x-ray fluorescence (LEXRF) detection was optimized for imaging cerebral glucose metabolism by mapping the fluorine LEXRF signal of 19 F in 19 FDG, trapped as intracellular 19 F-deoxyglucose-6-phosphate ( 19 FDG-6P) at 1μm spatial resolution from 3μm thick brain slices. 19 FDG metabolism was evaluated in brain structures closely resembling the general cerebral cytoarchitecture following formalin fixation of brain slices and their inclusion in an epon matrix. 2-dimensional distribution maps of 19 FDG-6P were placed in a cytoarchitectural and morphological context by simultaneous LEXRF mapping of N and O, and scanning transmission x-ray (STXM) imaging. A disproportionately high uptake and metabolism of glucose was found in neuropil relative to intracellular domains of the cell body of hypothalamic neurons, showing directly that neurons, like glial cells, also metabolize glucose. As 19 F-deoxyglucose-6P is structurally identical to 18 F-deoxyglucose-6P, LEXRF of subcellular 19 F provides a link to in vivo 18 FDG PET, forming a novel basis for understanding the physiological mechanisms underlying the 18 FDG PET image, and the contribution of neurons and glia to the PET signal. |
| Databáze: | OpenAIRE |
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