Metabolic modeling using Deuterium Metabolic Imaging data in healthy, epileptogenic and glioblastoma brain tissue

Motivation: To get insight into altered brain glucose metabolism in epilepsy and glioblastoma. Goal(s): To assess glucose metabolism in glioblastoma, epileptogenic, and healthy brain tissue by analyzing the tricarboxylic acid cycle rate (VTCA) using deuterium metabolic imaging (DMI) and metabolic modeling. Approach: Dynamic DMI data were acquired in five healthy controls, five epilepsy patients and five glioblastoma patients. A metabolic model was used to estimate VTCA across different ROIs. Results: VTCA is lower in glioblastoma tissue than in healthy controls. No difference was found between epileptogenic and healthy tissue or epileptogenic and glioblastoma tissue, although the results depend heavily on assumed Glx pool sizes. Impact: This study demonstrates the potential of deuterium metabolic imaging with metabolic modeling to estimate the tricarboxylic acid cycle rate in brain tissue, providing insights into epilepsy and glioblastoma. Findings could enhance non-invasive diagnostics and individualized treatment strategies.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0037
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
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article

Metabolic modeling using Deuterium Metabolic Imaging data in healthy, epileptogenic and glioblastoma brain tissue

Mark Gosselink, Pieter van Eijsden, Nicole van Klink, Evita Wiegers et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Diet and metabolism studies
article

Metabolic modeling using Deuterium Metabolic Imaging data in healthy, epileptogenic and glioblastoma brain tissue

Mark Gosselink, Pieter van Eijsden, Nicole van Klink, Evita Wiegers, Romy Buijs, Kiki Tesselaar, Dennis Klomp, Hans Hoogduin, Narjes Ahmadian, Sigrid A. Otto
article en

Abstract

Motivation: To get insight into altered brain glucose metabolism in epilepsy and glioblastoma. Goal(s): To assess glucose metabolism in glioblastoma, epileptogenic, and healthy brain tissue by analyzing the tricarboxylic acid cycle rate (VTCA) using deuterium metabolic imaging (DMI) and metabolic modeling. Approach: Dynamic DMI data were acquired in five healthy controls, five epilepsy patients and five glioblastoma patients. A metabolic model was used to estimate VTCA across different ROIs. Results: VTCA is lower in glioblastoma tissue than in healthy controls. No difference was found between epileptogenic and healthy tissue or epileptogenic and glioblastoma tissue, although the results depend heavily on assumed Glx pool sizes. Impact: This study demonstrates the potential of deuterium metabolic imaging with metabolic modeling to estimate the tricarboxylic acid cycle rate in brain tissue, providing insights into epilepsy and glioblastoma. Findings could enhance non-invasive diagnostics and individualized treatment strategies.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 69%
Diet and metabolism studies
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