High-Sensitivity Detection of Urinary Extracellular Vesicles With Upconverting Nanoparticle-Based Lateral Flow Immunoassay

Md. Khirul Islam, Imran Mahmud, Klinton Ali, Teppo Salminen, Pekka Taimen, Peter J. Boström, Janne Leivo, Urpo Lamminmäki, Iida Martiskainen
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Abstract

Urinary extracellular vesicles (uEVs) are well-known to express tetraspanin family membrane proteins abundantly on their surface. In this study, we aimed to develop an upconverting nanoparticle (UCNP)–based lateral flow immunoassay (UCNP-LFIA) designed for the rapid and high-sensitivity detection of CD63-positive uEVs for direct urinalysis. The assay utilizes UCNPs reporter to detect low concentrations of EVs. Minimally processed uEV samples from bladder cancer (BlCa) (n = 62), benign prostatic hyperplasia (BPH) (n = 50) and healthy (n = 30) individuals were tested in sandwich UCNP-LFIA format, capturing uEVs with the same anti-CD63 antibody conjugated to UCNP and immobilized on the test zone. After 80 min, the strips were read with an upconversion luminescence reader device. This UCNP-LFIA measured CD63-positive EVs with high sensitivity, exhibiting a limit of detection (LoD) of 4 × 107 EVs/mL. The concentration of CD63-positive EVs in BlCa patients showed a 2.3-fold increase compared to benign conditions (p = 0.007), and a 16-fold increase compared to healthy controls (p = 0.00001). The results demonstrate the potential of UCNP-LFIA platform for sensitive and quantitative detection of uEVs, highlighting its promise as a tool for EV detection at point-of-care diagnostics.

Abstract Image

基于上转换纳米颗粒的侧流免疫分析法的高灵敏度检测尿细胞外囊泡
众所周知,尿细胞外囊泡(uEVs)在其表面大量表达四联蛋白家族膜蛋白。在这项研究中,我们旨在开发一种基于上转换纳米颗粒(UCNP)的侧流免疫分析法(UCNP- lfia),用于快速、高灵敏度地检测cd63阳性uev,用于直接尿液分析。该试验利用UCNPs报告基因检测低浓度的ev。从膀胱癌(BlCa) (n = 62)、良性前列腺增生(BPH) (n = 50)和健康个体(n = 30)中提取经过最低处理的uEV样本,采用夹夹式UCNP- lfia格式进行检测,捕获具有与UCNP结合的相同抗cd63抗体并固定在测试区域的uEV。80 min后,用上转换发光读取器读取条带。该UCNP-LFIA检测cd63阳性ev具有高灵敏度,检测限(LoD)为4 × 107 ev /mL。与良性患者相比,BlCa患者的cd63阳性EVs浓度增加了2.3倍(p = 0.007),与健康对照组相比增加了16倍(p = 0.00001)。结果表明,UCNP-LFIA平台具有灵敏和定量检测EV的潜力,突出了其作为即时诊断EV检测工具的前景。
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