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Theranostics · 2025 ·Vol. 15 ·期 10 ·4481 · IF 13.3

Two-plex in vivo molecular imaging in the second near-infrared window for immunotherapeutic response

Yupeng Sun,Rui Li,Yike Cai,Yan Liu,Peiyuan Wang,Ming Wu,Xiaolong Zhang,Naishun Liao,Cuilin Zhang,Aixian Zheng,Haipo Xu,Rui Zeng,Yongyi Zeng,Xiaolong Liu

Tumor-infiltrating CD8 + T cells and programmed death-1 (PD1) levels are critical indicators for tumor immunophenotyping and therapeutic decision-making. Noninvasive optical imaging in the second near infrared window (NIR-II) is particularly well-suited for investigating the biological processes within tumors in live mammals, thanks to its deep-tissue penetration and superior spatiotemporal resolution. However, in vivo NIR-II imaging has primarily been restricted to a single probe at a time. Methods: Herein, we developed a two-plex NIR-II molecular imaging method utilizing the non-overlapping fluorescence emission of indocyanine green (ICG) in the NIR-IIa window (1000-1200 nm) and PbS/CdS core-shell quantum dots (QDs) in the NIR-IIb window (1500-1700 nm). By integrating PD1 aptamer-labeled ICG (ICG-Apt-PD1, targeting PD1) and CD8 aptamer-labeled QDs (QDs@Apt-CD8, targeting CD8 + T cells), our two-plex NIR-II molecular imaging enabled simultaneous and noninvasive monitoring of the number of CD8 + T cells and PD1 levels in tumors. Results: QDs@Apt-CD8 demonstrated the excellent ability for in vivo imaging of tumor infiltrating CD8 + T cells, owing to its strong NIR-IIb luminescence and the high selectivity and specificity. This two-plex in vivo molecular imaging allowed for dynamic monitoring for PD1 levels and the number of CD8 + T cells in tumors. We observed the heterogeneous bio-distributions of PD1 and CD8 + T cells across different tumor types and revealed the tumor immunophenotypes. Moreover, our findings indicated that the low PD1 and high CD8 + T cells levels in tumors predicted a better anti-tumor effect. Conclusions: Such in vivo noninvasive NIR-II molecular imaging would complement ex vivo biopsy-based diagnostic techniques, and it could contribute to developing an in vivo tumor immune-scoring algorithm to offer a more precise prediction for immunotherapeutic response.

CAS / MDL: 112-90-3 112-80-1
研究领域: 生物医学工程 · 肿瘤免疫学 · 分子影像学
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