Necroptosis-Mediated Synergistic Photodynamic and Glutamine-Metabolic Therapy Enabled by a Biomimetic Targeting Nanosystem for Cholangiocarcinoma.
Qichang ZhengTianhao ZouWeimin WangChen ZhangShaobo HuXiang ChengRan LiuGuoliang WangPing SunXing ZhouBing YangJianjun XuYang GaoJinyang GuPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Targeted delivery of glutamine metabolism inhibitors holds promise for cholangiocarcinoma therapy, yet effective delivery vehicles remain a challenge. This study reports the development of a biomimetic nanosystem, termed R-CM@MSN@BC, integrating mesoporous organosilicon nanoparticles with reactive oxygen species-responsive diselenide bonds for controlled release of the glutamine metabolism inhibitor bis-2-(5-phenylacetamido-1,3,4-thiadiazol-2-yl) ethyl sulfide (BPTES) and the photosensitizer Ce6. Erythrocyte membrane coating, engineered with Arg-Gly-Asp (RGD) peptides, not only enhanced biocompatibility but also improved tumor targeting and tissue penetration. Upon laser irradiation, R-CM@MSN@BC executed both photodynamic and glutamine-metabolic therapies, inducing necroptosis in tumor cells and triggering significant immunogenic cell death. Time-of-flight mass cytometry analysis revealed that R-CM@MSN@BC can remodel the immunosuppressive tumor microenvironment by polarizing M1-type macrophages, reducing infiltration of M2-type and CX3CR1 + macrophages, and decreasing T cell exhaustion, thereby increasing the effectiveness of anti-programmed cell death ligand 1 immunotherapy. This strategy proposed in this study presents a viable and promising approach for the treatment of cholangiocarcinoma.
Keyphrases
- cancer therapy
- cell death
- reactive oxygen species
- single cell
- randomized controlled trial
- drug delivery
- photodynamic therapy
- systematic review
- ionic liquid
- mesenchymal stem cells
- stem cells
- radiation therapy
- cell proliferation
- radiation induced
- signaling pathway
- deep learning
- machine learning
- crystal structure
- amino acid
- highly efficient
- pi k akt
- smoking cessation
- data analysis