Two-way magnetic resonance tuning and enhanced subtraction imaging for non-invasive and quantitative biological imaging
Two-way magnetic resonance tuning and enhanced subtraction imaging for non-invasive and quantitative biological imaging
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DOI：
10.1038/s41565-020-0678-5
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发表时间：
2020-05-25
影响因子：
38.3
通讯作者：
Li, Yuanpei
中科院分区：
文献类型：
--
作者：
Wang, Zhongling;Xue, Xiangdong;Li, Yuanpei
距离依赖双向磁共振调谐平台与双对比增强减影成像相结合，可在背景噪声最小的情况下实现深部组织的定量传感和成像。距离依赖磁共振调谐（MRET）技术可实现体内生物靶点的传感和定量成像，与基于荧光的Forster共振能量转移相比，具有深入组织穿透和与周围环境的相互作用较少的优点。然而，MRET技术在体内的应用目前受到基于T-1的MRET探针的适度对比度增强和稳定性的限制。在这里，我们报告了一种新的双向磁共振调谐（TMRET）纳米探针，具有双重激活的T-1和T-2磁共振信号，与双对比增强减影成像相结合。该集成平台实现了显著改善的对比度增强，具有最小的背景信号，可用于定量成像肿瘤中的分子靶点，并灵敏地检测患者来源的异种移植模型中的非常小的颅内脑肿瘤。TMRET结合双对比增强减影成像提供的高肿瘤与正常组织比率为分子诊断和图像引导的生物医学应用提供了新的机会。
A distance-dependent two-way magnetic resonance tuning platform combined with dual-contrast enhanced subtraction imaging enables quantitative sensing and imaging in deep tissues with minimal background noise.Distance-dependent magnetic resonance tuning (MRET) technology enables the sensing and quantitative imaging of biological targets in vivo, with the advantage of deep tissue penetration and fewer interactions with the surroundings as compared with those of fluorescence-based Forster resonance energy transfer. However, applications of MRET technology in vivo are currently limited by the moderate contrast enhancement and stability of T-1-based MRET probes. Here we report a new two-way magnetic resonance tuning (TMRET) nanoprobe with dually activatable T-1 and T-2 magnetic resonance signals that is coupled with dual-contrast enhanced subtraction imaging. This integrated platform achieves a substantially improved contrast enhancement with minimal background signal and can be used to quantitatively image molecular targets in tumours and to sensitively detect very small intracranial brain tumours in patient-derived xenograft models. The high tumour-to-normal tissue ratio offered by TMRET in combination with dual-contrast enhanced subtraction imaging provides new opportunities for molecular diagnostics and image-guided biomedical applications.