Nanosensor-Enabled Detection and Identification of Intracellular Bacterial Infections in Macrophages

Biosensors Pub Date : 2024-07-25 DOI:10.3390/bios14080360
Aritra Nath Chattopadhyay, Mingdi Jiang, Jessa Marie V. Makabenta, Jungmi Park, Yingying Geng, Vincent Rotello
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Abstract

Opportunistic bacterial pathogens can evade the immune response by residing and reproducing within host immune cells, including macrophages. These intracellular infections provide reservoirs for pathogens that enhance the progression of infections and inhibit therapeutic strategies. Current sensing strategies for intracellular infections generally use immunosensing of specific biomarkers on the cell surface or polymerase chain reaction (PCR) of the corresponding nucleic acids, making detection difficult, time-consuming, and challenging to generalize. Intracellular infections can induce changes in macrophage glycosylation, providing a potential strategy for signature-based detection of intracellular infections. We report here the detection of bacterial infection in macrophages using a boronic acid (BA)-based pH-responsive polymer sensor array engineered to distinguish mammalian cell phenotypes by their cell surface glycosylation signatures. The sensor was able to discriminate between different infecting bacteria in minutes, providing a promising tool for diagnostic and screening applications.
利用纳米传感器检测和识别巨噬细胞中的细胞内细菌感染
机会性细菌病原体可以通过在宿主免疫细胞(包括巨噬细胞)内驻留和繁殖来逃避免疫反应。这些细胞内感染为病原体提供了贮藏库,加剧了感染的发展并抑制了治疗策略。目前针对细胞内感染的传感策略一般采用对细胞表面特定生物标记物的免疫传感或相应核酸的聚合酶链反应(PCR),这使得检测变得困难、耗时且难以普及。细胞内感染可诱导巨噬细胞糖基化的变化,为基于特征的细胞内感染检测提供了一种潜在的策略。我们在此报告利用一种基于硼酸(BA)的 pH 响应聚合物传感器阵列检测巨噬细胞中的细菌感染,该传感器可通过细胞表面糖基化特征区分哺乳动物细胞表型。该传感器能在几分钟内分辨出不同的感染细菌,为诊断和筛选应用提供了一种前景广阔的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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