In vivo nanoparticle-based T cell imaging can predict therapy response towards adoptive T cell therapy in experimental glioma

基于纳米粒子的体内 T 细胞成像可以预测实验性胶质瘤对过继性 T 细胞治疗的治疗反应

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作者:Jessica Hunger, Katharina Schregel, Berin Boztepe, Dennis Alexander Agardy, Verena Turco, Kianush Karimian-Jazi, Ina Weidenfeld, Yannik Streibel, Manuel Fischer, Volker Sturm, Rachel Santarella-Mellwig, Michael Kilian, Kristine Jähne, Katharina Sahm, Wolfgang Wick, Lukas Bunse, Sabine Heiland, There

Conclusion

This study showcases a rational for monitoring adoptive T cell therapies non-invasively by iron oxide NP in gliomas to track intratumoral T cell influx and ultimately predict treatment outcome.

Methods

Ultrasmall iron oxide nanoparticles (NP) can be visualized non-invasively by magnetic resonance imaging (MRI) and dedicated MRI sequences such as T2* mapping. Here, we develop a protocol for efficient ex vivo labeling of murine and human TCR-transgenic and CAR T cells with iron oxide NPs. We assess labeling efficiency and T cell functionality by flow cytometry and transmission electron microscopy (TEM). NP labeled T cells are visualized by MRI at 9.4 T in vivo after adoptive T cell transfer and correlated with 3D models of cleared brains obtained by light sheet microscopy (LSM).

Results

NP are incorporated into T cells in subcellular cytoplasmic vesicles with high labeling efficiency without interfering with T cell viability, proliferation and effector function as assessed by cytokine secretion and antigen-specific killing assays in vitro. We further demonstrate that adoptively transferred T cells can be longitudinally monitored intratumorally by high field MRI at 9.4 Tesla in a murine glioma model with high sensitivity. We find that T cell influx and homogenous spatial distribution of T cells within the TME as assessed by T2* imaging predicts tumor response to ACT whereas incomplete T cell coverage results in treatment resistance.

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