二甲双胍
氧化磷酸化
髓系白血病
CD36
转录组
基因敲除
药理学
癌症研究
脂质代谢
化学
药品
活性氧
离体
生物
β氧化
脂毒性
下调和上调
代谢组
代谢途径
癌细胞
癌症
脂肪生成
脂类学
新陈代谢
脂肪酸代谢
药物代谢
糖酵解
体内
多不饱和脂肪酸
代谢组学
氧化应激
医学
线粒体ROS
脂肪酸
作者
Dominique Sternadt,Diego A. Pereira‐Martins,Prodromos Chatzikyriakou,Luise Albuquerque-Simões,Ming Yang,Douglas RA Silveira,Albertus T.J. Wierenga,Isabel Weinhäuser,Shanna M. Hogeling,Lieve Oudejans,Pilar Casares Aláez,Jean‐Emmanuel Sarry,Christian Frezza,Gerwin Huls,Lynn Quek,Jan Jacob Schuringa
出处
期刊:Blood Advances
[Elsevier BV]
日期:2025-10-31
卷期号:10 (3): 733-747
被引量:2
标识
DOI:10.1182/bloodadvances.2025016155
摘要
ABSTRACT: Metabolic reprogramming is a hallmark of cancer and is essential for sustaining leukemogenesis. In acute myeloid leukemia (AML), a high dependency on oxidative phosphorylation (OXPHOS) is often linked to poor outcomes, and its inhibition has shown to be highly effective. However, most OXPHOS inhibitors are not clinically translatable because of significant side effects. Thus, repurposing safe US Food and Drug Administration-approved drugs that can target OXPHOS is of great interest. Here, we evaluated metformin, an antidiabetic drug that inhibits OXPHOS, in a genetically diverse panel of primary AML samples to identify metabolic profiles that can be used to predict treatment susceptibility. Using label-free quantitative proteome analysis on sorted CD34+/CD117+ AML cells, we performed single-sample gene set enrichment analysis focused on metabolic terms and correlated enrichment scores with metformin sensitivity, followed by functional studies. Ex vivo treatment of AML samples with metformin showed a significant increase in reactive oxygen species levels and ferroptosis induction, especially in samples with disturbed lipid metabolism, such as IDH2- and FLT3-mutant AMLs. In IDH2-mutant cells, cotreatment with palmitate, a saturated fatty acid (FA), increased metformin sensitivity, which could be rescued by CD36 knockdown, rendering these cells more resistant to treatment. Lipidomic analysis revealed profound alterations upon metformin treatment, including increased production of triglycerides and polyunsaturated FAs, further supporting a metabolic shift. We observed upregulation of genes related to lipid droplet formation, including DGAT1, a key enzyme in this process. DGAT1 inhibition was strongly synergistic with metformin, whereas iron chelators acted antagonistically. Our results underscore the potential of leveraging metabolic vulnerabilities in AML to identify more effective and personalized therapeutic strategies.
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