先进的表面增强拉曼散射纳米探针用于缺氧肿瘤细胞中硝基还原酶的精确检测:提高癌症诊断。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
SLAS Technology Pub Date : 2025-02-01 Epub Date: 2024-12-03 DOI:10.1016/j.slast.2024.100229
Xiaoyue Zhao, Ying Zhang, Chunyan Zhu, Zhihui Yang, Xiaoyuan Chu
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引用次数: 0

摘要

硝基还原酶(Nitroreductase, NTR)在缺氧肿瘤细胞的缺氧环境中起着至关重要的作用,其鉴定对肿瘤的诊断和治疗至关重要。本研究介绍了一种创新的表面增强拉曼散射(SERS)探针,该探针将对硝基苯酚(p-NTP)附着在金纳米颗粒(Au NPs)上。该探针利用缺氧状态下NTR的特异性酶促反应,利用减少的NADH。NTR的酶活性将硝基芳香族化合物转化为芳香胺,然后在探针的SERS信号中反映为可测量的位移。这种新方法可以准确定量NTR,灵敏度达到小于0.02 μg/mL的检测阈值。该探针的无毒性和优越的生物相容性有助于其在低氧水平下用于A549细胞的直接SERS研究。我们还将这种方法应用于异种移植模型。结果表明,在缺氧条件下,肿瘤细胞和肿瘤组织中的NTR水平显著增加,突出了这种纳米探针在增强癌症诊断方面的重要性,帮助医生更迅速有效地做出治疗决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced surface-enhanced raman scattering nanoprobes for precise detection of Nitroreductase in Hypoxic tumor cells: Improving Cancer diagnosis.

Nitroreductase (NTR) plays a critical role in the oxygen-deficient environment of anoxic tumor cells, and its identification is crucial for the diagnosis and treatment of cancer. This research introduces an innovative Surface Enhanced Raman Scattering (SERS) probe, created by attaching p-nitrothiophenol (p-NTP) to gold nanoparticles (Au NPs). This probe leverages the specific enzymatic reaction of NTR in hypoxic status, utilizing decreased NADH. The enzymatic activity of NTR transforms nitroaromatic compounds into aromatic amines, which is then reflected as a measurable shift in the SERS signal of the probe. This novel approach allows for the accurate quantification of NTR, with the sensitivity reaching a detection threshold of less than 0.02 μg/mL. The probe's non-toxic nature and superior biocompatibility facilitate its use for direct SERS investigations in A549 cells under reduced oxygen levels. We also applied this method to xenograft model. The results demonstrate a marked increase in NTR levels in tumor cells and tumor tissues in hypoxic conditions, highlighting the significance of this nanoprobe in enhancing cancer diagnostics, helping medical doctors making treatment decisions more swiftly and effectively.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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