粒体自噬
线粒体
化学
癌症研究
细胞生物学
氧化应激
程序性细胞死亡
自噬
免疫原性细胞死亡
效应器
胞浆
细胞内
癌细胞
MFN2型
氧化磷酸化
微泡
细胞保护
肿瘤微环境
DNM1L型
细胞
免疫系统
信号转导
线粒体ROS
CD8型
封锁
溶解循环
MFN1型
坏死性下垂
作者
Zijian Zhang,Min Zhuang,Han Li,Chuanshi He,Likun Cui,Quan Dai,Ziyue Hu,Yan Chen,Jinshun Xu,Man Lu
标识
DOI:10.1186/s12951-026-04816-1
摘要
Glioblastoma (GBM) recurrence, driven by therapeutic resistance and diffuse infiltration, remains a critical clinical challenge, fundamentally sustained by a mitochondrial metabolic addiction. To leverage this, we developed a biomimetic nanoplatform (HM-NPs@CM) camouflaged with cancer cell-mitochondria hybrid membranes. This ensures efficient blood-brain barrier traversal and precise mitochondria-targeted co-delivery of sonosensitizer Ce6 and mitophagy inhibitor Mdivi-1 within orthotopic GBM. Upon ultrasound activation, the nanoplatform executes a synergistic ‘Attack-and-Trap’ strategy: sonodynamic therapy (SDT) launches a targeted oxidative assault, while concurrent pharmacological inhibition of mitophagy traps irreparably damaged mitochondria. This accumulation of damaged mitochondria triggers a lethal pathological cascade, where mitochondrial oxidative stress progresses into severe intracellular oxidative stress, culminating in irreversible lytic cell death and sustained cytosolic mtDNA leakage. The liberated mtDNA robustly activates the cGAS-STING pathway, driving Type I interferon synthesis and transforming tumor cells into immunogenic reservoirs. Subsequently, this severe oxidative stress forces the terminal rupture of the plasma membrane, orchestrating the massive release of pre-synthesized immune effectors and damage-associated molecular patterns (DAMPs). Capitalizing on these signals, combination with anti-PD-L1 blockade potently induces dendritic cell maturation and CD8 + T cell infiltration, significantly suppressing tumor growth. Ultimately, this multimodal strategy establishes durable immunological memory, providing comprehensive protection against tumor rechallenge and post-surgical recurrence.
科研通智能强力驱动
Strongly Powered by AbleSci AI