Hsu Ying-Pei, Yang Hung-Wei, Li Nan-Si, Chen Ying-Tzu, Pang Hao-Han, Pang See-Tong
Institute of Medical Science and Technology, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan.
Department of Materials and Optoelectronic Science, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan.
ACS Sens. 2020 Apr 24;5(4):928-935. doi: 10.1021/acssensors.9b02013. Epub 2020 Mar 24.
The incidence and 5 year recurrence rate of urothelial carcinomas (UCs), including UC of the bladder (UCB) and upper urinary tract UC (UTUC), have increased annually. There is a great need for a simple and fast point-of-care (POC) test for early diagnosis and amelioration in the survival rate. We present a POC test comprising a new vial-immunosensor, nanoenzyme, and iPhone 7 plus, which detects and quantifies the new biomarker FXYD domain-containing ion transport regulator 3 (FXYD3) in human urine for specific UC screening, tumor-grade classification, and postoperative monitoring by the grayscale value of the photograph taken. The performance of the proposed POC test was then verified using urine from 4 healthy people, 40 UCB patients (10 patients were low-grade and 30 patients were high-grade), and 13 UTUC patients (2 patients were low-grade and 11 patients were high-grade), confirming the accuracy and specificity by comparing the results with those obtained by enzyme-linked immunosorbent assay (ELISA). Moreover, we also designed a correction method that can make the grayscale values calculated by different smartphones close to the values calculated by iPhone 7 plus, resulting in the POC test enabling simple, fast, universal, and portable testing, data storage, and sharing for personal UCs screening and postoperative monitoring.
尿路上皮癌(UCs),包括膀胱尿路上皮癌(UCB)和上尿路尿路上皮癌(UTUC)的发病率及5年复发率逐年上升。迫切需要一种简单快速的即时检测(POC)方法用于早期诊断并提高生存率。我们展示了一种POC检测方法,它由新型小瓶免疫传感器、纳米酶和iPhone 7 Plus组成,通过拍摄照片的灰度值检测并定量人尿液中的新型生物标志物含FXYD结构域的离子转运调节蛋白3(FXYD3),用于特定UC的筛查、肿瘤分级分类及术后监测。然后使用4名健康人、40名UCB患者(10名低级别患者和30名高级别患者)以及13名UTUC患者(2名低级别患者和11名高级别患者)的尿液对所提出的POC检测方法的性能进行了验证,通过将结果与酶联免疫吸附测定(ELISA)获得的结果进行比较来确认准确性和特异性。此外,我们还设计了一种校正方法,可使不同智能手机计算出的灰度值接近iPhone 7 Plus计算出的值,从而使POC检测能够实现简单、快速、通用且便携的检测、数据存储以及用于个人UC筛查和术后监测的共享。