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Clinical research framework proposal for ketogenic metabolic therapy in glioblastoma
Journal article   Open access   Peer reviewed

Clinical research framework proposal for ketogenic metabolic therapy in glioblastoma

Tomás Duraj, Miriam Kalamian, Giulio Zuccoli, Joseph C Maroon, Dominic P D'Agostino, Adrienne C Scheck, Angela Poff, Sebastian F Winter, Jethro Hu, Rainer J Klement, …
BMC medicine, v 22(1), 578
05 Dec 2024
PMID: 39639257
url
https://doi.org/10.1186/s12916-024-03775-4View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Biomedical Research - methods Brain Neoplasms - diet therapy Brain Neoplasms - drug therapy Brain Neoplasms - metabolism Diet, Ketogenic - methods Energy Metabolism - physiology Glioblastoma - diet therapy Glioblastoma - drug therapy Glioblastoma - metabolism Glucose - metabolism Glutamine - metabolism Glycolysis Humans
Glioblastoma (GBM) is the most aggressive primary brain tumor in adults, with a universally lethal prognosis despite maximal standard therapies. Here, we present a consensus treatment protocol based on the metabolic requirements of GBM cells for the two major fermentable fuels: glucose and glutamine. Glucose is a source of carbon and ATP synthesis for tumor growth through glycolysis, while glutamine provides nitrogen, carbon, and ATP synthesis through glutaminolysis. As no tumor can grow without anabolic substrates or energy, the simultaneous targeting of glycolysis and glutaminolysis is expected to reduce the proliferation of most if not all GBM cells. Ketogenic metabolic therapy (KMT) leverages diet-drug combinations that inhibit glycolysis, glutaminolysis, and growth signaling while shifting energy metabolism to therapeutic ketosis. The glucose-ketone index (GKI) is a standardized biomarker for assessing biological compliance, ideally via real-time monitoring. KMT aims to increase substrate competition and normalize the tumor microenvironment through GKI-adjusted ketogenic diets, calorie restriction, and fasting, while also targeting glycolytic and glutaminolytic flux using specific metabolic inhibitors. Non-fermentable fuels, such as ketone bodies, fatty acids, or lactate, are comparatively less efficient in supporting the long-term bioenergetic and biosynthetic demands of cancer cell proliferation. The proposed strategy may be implemented as a synergistic metabolic priming baseline in GBM as well as other tumors driven by glycolysis and glutaminolysis, regardless of their residual mitochondrial function. Suggested best practices are provided to guide future KMT research in metabolic oncology, offering a shared, evidence-driven framework for observational and interventional studies.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Oncology
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