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Arg-liposome-amplified colorimetric immunoassay for selective and sensitive detection of cystatin C to predict acute kidney injury

化学 脂质体 胱抑素C 检出限 免疫分析 色谱法 急性肾损伤 肌酐 抗体 生物化学 免疫学 内科学 医学
作者
Bing Wang,Lei Zhang,Guo Yin,Jue Wang,Ping Wang,Tiejie Wang,Jiangwei Tian,Xie‐an Yu,Huachao Chen
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1236: 340562-340562 被引量:14
标识
DOI:10.1016/j.aca.2022.340562
摘要

Cystatin C (Cys C) has been considered as a novel biomarker of kidney disease, which is thought to be a better indicator of glomerular filtration rate than creatinine (Scr) in the prediction of acute kidney injury (AKI). Hence, there is strong need to develop a precise, rapid and simple detection method for Cys C. Here we reported a Arg-liposome-amplified colorimetric immunoassay for the detection of Cys C to predict AKI. Cys C antibodies are conjugated on the surface of magnetic beads (MBs) and arginine (Arg)-loaded liposomes to form Ab1-MBs and Ab2-Arg-liposomes, respectively. When Ab1-MBs captured Cys C, Ab2-Arg-liposomes are added and incubated to form the immuno-sandwich complex. After magnetic separation, the surfactant Triton ×100 is added to damage the liposomes, leading to the release of Arg which can induce the gold nanoparticles aggregation. Therefore, the discoloration can be used for visual and quantitative detection of Cys C. Notably, the method has a linear relation in the range of 10-100 μg/L for Cys C with a limit of detection 4.32 μg/L, which is lower than some of the previous reports. In addition, the AKI mice serum samples were tested by the developed method, which were in good agreement with ELISA results. More intriguingly, the results of cisplatin induced acute kidney injury in mice showed that the method could be used to evaluate the protective effect of astragalus membranaceus (AM) on AKI by detecting Cys C in serum, providing a new strategy for screening renal protective drugs. Accordingly, a rapid and highly sensitive Cys C detection system was established with great potential for clinical diagnostics.
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