Clinical research framework proposal for ketogenic metabolic therapy in glioblastoma.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
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, Alicia Hickson, Derek C Lee, Isabella Cooper, Barbara Kofler, Kenneth A Schwartz, Matthew C L Phillips, Colin E Champ, Beth Zupec-Kania, Jocelyn Tan-Shalaby, Fabiano M Serfaty, Egiroh Omene, Gabriel Arismendi-Morillo, Michael Kiebish, Richard Cheng, Ahmed M El-Sakka, Axel Pflueger, Edward H Mathews, Donese Worden, Hanping Shi, Raffaele Ivan Cincione, Jean Pierre Spinosa, Abdul Kadir Slocum, Mehmet Salih Iyikesici, Atsuo Yanagisawa, Geoffrey J Pilkington, Anthony Chaffee, Wafaa Abdel-Hadi, Amr K Elsamman, Pavel Klein, Keisuke Hagihara, Zsófia Clemens, George W Yu, Athanasios E Evangeliou, Janak K Nathan, Kris Smith, David Fortin, Jorg Dietrich, Purna Mukherjee, Thomas N Seyfried
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引用次数: 0

Abstract

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.

胶质母细胞瘤生酮代谢治疗的临床研究框架建议。
胶质母细胞瘤(GBM)是成人中最具侵袭性的原发性脑肿瘤,尽管采用了最大的标准治疗,但预后普遍致命。在这里,我们提出了一种基于GBM细胞对两种主要发酵燃料(葡萄糖和谷氨酰胺)代谢需求的共识治疗方案。葡萄糖通过糖酵解为肿瘤生长提供碳和ATP合成的来源,而谷氨酰胺通过谷氨酰胺水解提供氮、碳和ATP合成。由于没有合成代谢底物或能量,任何肿瘤都无法生长,因此糖酵解和谷氨酰胺解同时靶向治疗有望减少大多数(如果不是全部的话)GBM细胞的增殖。生酮代谢疗法(KMT)利用饮食药物联合抑制糖酵解、谷氨酰胺解和生长信号,同时将能量代谢转移到治疗酮症。葡萄糖酮指数(GKI)是评估生物顺应性的标准化生物标志物,理想情况下可通过实时监测。KMT旨在通过gki调节的生酮饮食、卡路里限制和禁食来增加底物竞争并使肿瘤微环境正常化,同时也使用特定的代谢抑制剂来靶向糖酵解和谷氨酰胺溶解通量。不可发酵的燃料,如酮体、脂肪酸或乳酸,在支持癌细胞增殖的长期生物能量和生物合成需求方面效率相对较低。所提出的策略可以作为GBM以及其他由糖酵解和谷氨酰胺解驱动的肿瘤的协同代谢启动基线,而不管其残余的线粒体功能如何。建议的最佳实践可以指导未来代谢肿瘤学的KMT研究,为观察和介入研究提供一个共享的、循证驱动的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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