DOI 10.1007/s00262-026-04403-1
Dual-modality imaging enables longitudinal biodistribution profiling of intracerebroventricular CAR-T therapy in orthotopic glioma.
Аннотация
Locoregional CAR-T delivery is increasingly explored for glioblastoma to improve intracranial tumor exposure; however, organ-level biodistribution kinetics after intracranial administration remain poorly quantified in vivo, limiting route-informed optimization and preclinical risk assessment. Here, we report a dual-modality cell labeling and tracking strategy based on indocyanine green-conjugated iron nanoparticles (ICG-NPs) for in vivo assessment of B7-H3-targeting CAR-T cell (TX103) biodistribution using second near-infrared window (NIR-II) fluorescence imaging and magnetic resonance imaging (MRI). Using a heparin-protamine-assisted protocol, TX103 cells were labeled with high efficiency (83.1%) without detectable changes in viability, CAR expression, immunophenotype (including activation/exhaustion marker profile and CXCR3 expression), or cytotoxic function. In vitro imaging demonstrated a linear correlation between NIR-II fluorescence intensity and labeled cell numbers (R2 = 0.973, p < 0.001), while MRI provided complementary anatomical context at higher cell densities. In an orthotopic glioma mouse model, longitudinal MRI and NIR-II imaging captured route-dependent differences in tumor-associated localization and whole-body biodistribution following intracerebroventricular and intravenous administration. Furthermore, organ-level NIR-II exposure showed a positive association with CD3⁺ T-cell density across organs (R2 = 0.552, p < 0.001), supported by multi-organ pathological validation. Collectively, we establish a biocompatible dual-modality workflow that links intracranial anatomical localization with longitudinal whole-body biodistribution readouts for preclinical CAR-T tracking in solid tumor models.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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