凋亡Caspase-3在体内的定量追踪用于放射治疗疗效的早期评估。

Ying Wu, Qian Wang, Kang Zhu, Liting Zheng, Qingqing Li, Wei Huang, Yang Du, Lanlan Chen, Jibin Song, Huanghao Yang
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引用次数: 0

摘要

目前,疾病相关标志物只能通过传统探针在激活的开/关模式下进行体内定性成像。然而,在体内实时准确定量标记物(尤其是蛋白酶的动态浓度)仍然是一个巨大的挑战。在此,我们开发了一种蛋白酶激活比例荧光(FL)探针,该探针在1550 nm处发出参比和响应信号,能够在给药后准确定量体内疾病相关蛋白酶。该探针是通过将FL分子与掺杂Ln3+的下转换纳米颗粒偶联在caspase-3的底物肽上制备的。Caspase-3在保证参比信号一致的情况下诱导响应信号,得到与Caspase-3浓度线性相关的比率信号,检出限为9.96 U/mL。据此建立的早期疗效评估体系可以在治疗后12 h内预测癌症的治疗效果,否则需要几天或几周才能看到效果,从而指导治疗方案的优化。因此,比例NIR-II FL探针具有从定性成像到定量检测的潜力,可以实现疾病标记物的原位定量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Tracking of Apoptotic Caspase-3 In Vivo for Early Evaluation of Radiation Therapy Efficacy.

Traditional responsive fluorescent probes are predominantly restricted to qualitative biomarker detection, incapable of delivering real-time quantitative analysis or spatial mapping of protease activity in vivo, which is essential for elucidating disease progression. To overcome this, a ratiometric second near-infrared region (NIR-II) fluorescent (FL) probe (DCNP@IR-806) was developed by conjugating caspase-3-specific peptide substrates and sensitizer molecules (IR-806) to lanthanide-doped down-conversion nanoparticles (DCNP). DCNP@IR-806 achieves single-channel emission at 1550 nm under dual excitation, facilitating self-calibrated quantification and real-time monitoring of activated caspase-3 in vivo. Radiotherapy induces tumor cell apoptosis, thereby activating caspase-3, which subsequently triggers a ratiometric NIR-II FL signal change of DCNP@IR-806. The ratiometric signal demonstrates a linear correlation with caspase-3 concentration, achieving a detection limit of 9.96 U mL-1. Then, an early efficacy assessment system capable of predicting radiotherapy outcomes within 12 h post-treatment was constructed, markedly expediting evaluation compared to traditional methods that require weeks. This rapid, precise, and user-friendly assessment facilitates timely optimization of therapeutic regimens to enhance efficacy while minimizing side effects. This platform represents a significant advancement in precision oncology by transitioning from qualitative imaging to in situ quantitative biomarker tracking.

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