Borg Raymond E, Ozbakir Harun F, Xu Binzhi, Li Eugene, Fang Xiwen, Peng Huan, Chen Irene A, Mukherjee Arnab
Department of Chemistry, University of California, Santa Barbara, CA 93106, USA.
Department of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Sens Diagn. 2023 Jul 1;2(4):948-955. doi: 10.1039/d3sd00026e. Epub 2023 Jun 22.
Detecting bacterial cells with high specificity in deep tissues is challenging. Optical probes provide specificity, but are limited by the scattering and absorption of light in biological tissues. Conversely, magnetic resonance imaging (MRI) allows unfettered access to deep tissues, but lacks contrast agents for detecting specific bacterial strains. Here, we introduce a biomolecular platform that combines both capabilities by exploiting the modularity of M13 phage to target bacteria with tunable specificity and allow deep-tissue imaging using -weighted MRI. We engineered two types of phage probes: one for detecting the phage's natural host, ., F-pilus expressing ; and the other for detecting a different (F-negative) bacterial target, . We show that these phage sensors generate 3-9-fold stronger relaxation upon recognizing target cells relative to non-target bacteria. We further establish a preliminary proof-of-concept for applications, by demonstrating that phage-labeled bacteria can be detected in mice using MRI. The framework developed in this study may have potential utility in a broad range of applications, from basic biomedical research to diagnostics, which require methods to detect and track specific bacteria in the context of intact living systems.
在深部组织中高特异性地检测细菌细胞具有挑战性。光学探针具有特异性,但受生物组织中光散射和吸收的限制。相反,磁共振成像(MRI)能够不受阻碍地对深部组织进行检测,但缺乏用于检测特定细菌菌株的造影剂。在此,我们引入了一种生物分子平台,该平台通过利用M13噬菌体的模块化特性,将两种功能结合起来,以可调谐的特异性靶向细菌,并允许使用加权MRI进行深部组织成像。我们设计了两种类型的噬菌体探针:一种用于检测噬菌体的天然宿主,即表达F菌毛的;另一种用于检测不同的(F阴性)细菌靶标。我们表明,相对于非靶标细菌,这些噬菌体传感器在识别靶标细胞时会产生强3至9倍的弛豫。我们进一步通过证明使用MRI可以在小鼠体内检测到噬菌体标记的细菌,为应用建立了初步的概念验证。本研究中开发的框架可能在从基础生物医学研究到诊断等广泛应用中具有潜在用途,这些应用需要在完整的活体系统中检测和追踪特定细菌的方法。