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开发一种用于万古霉素治疗药物监测的新型定量侧向流动分析法。

Development of a novel quantitative lateral flow assay for vancomycin for therapeutic drug monitoring.

作者信息

Riezk Alaa, Vasikasin Vasin, Wilson Richard C, Rawson Timothy M, Cass Anthony E G, Holmes Alison H

机构信息

Centre for Antimicrobial Optimisation, Imperial College London, London, UK.

NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Hammersmith Hospital, Imperial College London,, Du Cane Road, London, UK.

出版信息

Sci Rep. 2025 Jul 8;15(1):24398. doi: 10.1038/s41598-025-09145-1.

Abstract

Antibiotic optimisation through therapeutic drug monitoring (TDM) is a key strategy in tackling antimicrobial resistance. However, current quantification methods rely on laboratory-based equipment, delaying timely dose adjustments. We developed a novel point-of-care lateral flow assay (LFA) for the quantification of vancomycin in serum. Unlike conventional LFAs with a single test and control line, this assay incorporates two test lines: one for vancomycin binding and one for avidin capture of excess conjugate. Gold nanoparticles were conjugated to biotinylated bovine serum albumin-vancomycin, enabling competitive binding with anti-vancomycin antibodies and avidin capture. Signal ratios from smartphone-acquired images were quantified using an automated image analysis algorithm. Applied to vancomycin in serum, the LFA demonstrated a quantitative detection range of 2.88 to 45,000 ng/mL, with good accuracy, reproducibility, and high recovery in spiked samples. This approach offers a promising solution for decentralised, rapid TDM in clinical settings, especially where timely dose optimisation is critical.

摘要

通过治疗药物监测(TDM)实现抗生素优化是应对抗菌药物耐药性的关键策略。然而,目前的定量方法依赖基于实验室的设备,延迟了及时的剂量调整。我们开发了一种用于定量血清中万古霉素的新型即时侧流分析(LFA)。与具有单一测试线和对照线的传统LFA不同,该分析包含两条测试线:一条用于万古霉素结合,一条用于抗生物素蛋白捕获过量的结合物。金纳米颗粒与生物素化牛血清白蛋白-万古霉素偶联,实现与抗万古霉素抗体的竞争性结合和抗生物素蛋白捕获。使用自动图像分析算法对智能手机获取图像的信号比进行定量。应用于血清中的万古霉素时,LFA的定量检测范围为2.88至45,000 ng/mL,在加标样品中具有良好的准确性、重现性和高回收率。这种方法为临床环境中分散、快速的TDM提供了一个有前景的解决方案,特别是在及时进行剂量优化至关重要的情况下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/622d/12238248/37115aad30c7/41598_2025_9145_Fig1_HTML.jpg

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