体内
窗口(计算)
分子成像
治疗窗口
红外线的
材料科学
化学
生物医学工程
医学
生物
光学
物理
计算机科学
药理学
生物技术
操作系统
作者
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
出处
期刊:Theranostics
[Ivyspring International Publisher]
日期:2025-03-19
卷期号:15 (10): 4481-4494
被引量:3
摘要
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.
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