Hyung-Mo Kim1, Jaehi Kim1, Jaehyun An1, Sungje Bock1, Xuan-Hung Pham1, Kim-Hung Huynh1, Yoonsik Choi2, Eunil Hahm1, Hobeom Song3, Jung-Won Kim3, Won-Yeop Rho4, Dae Hong Jeong2, Ho-Young Lee5, Sangchul Lee6, Bong-Hyun Jun7. 1. Department of Bioscience and Biotechnology, Konkuk University, Seoul, Korea. 2. Department of Chemistry Education, Seoul National University, Seoul, Korea. 3. BioSquare Inc, Seongnam, Korea. 4. School of International Engineering and Science, Jeonbuk National University, Jeonju, Korea. 5. Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Korea. 6. Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea. slee@snubh.org. 7. Department of Bioscience and Biotechnology, Konkuk University, Seoul, Korea. bjun@konkuk.ac.kr.
Abstract
BACKGROUND: Blood prostate-specific antigen (PSA) levels are widely used as diagnostic biomarkers for prostate cancer. Lateral-flow immunoassay (LFIA)-based PSA detection can overcome the limitations associated with other methods. LFIAbased PSA detection in clinical samples enables prognosis and early diagnosis owing to the use of high-performance signal reporters. RESULTS: Here, a semiquantitative LFIA platform for PSA detection in blood was developed using Au-Ag nanoparticles (NPs) assembled on silica NPs (SiO2@Au-Ag NPs) that served as signal reporters. Synthesized SiO2@Au-Ag NPs exhibited a high absorbance at a wide wavelength range (400-800 nm), with a high scattering on nitrocellulose membrane test strips. In LFIA, the color intensity of the test line on the test strip differed depending on the PSA concentration (0.30-10.00 ng/mL), and bands for the test line on the test strip could be used as a standard. When clinical samples were assessed using this LFIA, a visual test line with particular color intensity observed on the test strip enabled the early diagnosis and prognosis of patients with prostate cancer based on PSA detection. In addition, the relative standard deviation of reproducibility was 1.41%, indicating high reproducibility, and the signal reporter showed good stability for 10 days. CONCLUSION: These characteristics of the signal reporter demonstrated the reliability of the LFIA platform for PSA detection, suggesting potential applications in clinical sample analysis.
BACKGROUND: Blood prostate-specific antigen (PSA) levels are widely used as diagnostic biomarkers for prostate cancer. Lateral-flow immunoassay (LFIA)-based PSA detection can overcome the limitations associated with other methods. LFIAbased PSA detection in clinical samples enables prognosis and early diagnosis owing to the use of high-performance signal reporters. RESULTS: Here, a semiquantitative LFIA platform for PSA detection in blood was developed using Au-Ag nanoparticles (NPs) assembled on silica NPs (SiO2@Au-Ag NPs) that served as signal reporters. Synthesized SiO2@Au-Ag NPs exhibited a high absorbance at a wide wavelength range (400-800 nm), with a high scattering on nitrocellulose membrane test strips. In LFIA, the color intensity of the test line on the test strip differed depending on the PSA concentration (0.30-10.00 ng/mL), and bands for the test line on the test strip could be used as a standard. When clinical samples were assessed using this LFIA, a visual test line with particular color intensity observed on the test strip enabled the early diagnosis and prognosis of patients with prostate cancer based on PSA detection. In addition, the relative standard deviation of reproducibility was 1.41%, indicating high reproducibility, and the signal reporter showed good stability for 10 days. CONCLUSION: These characteristics of the signal reporter demonstrated the reliability of the LFIA platform for PSA detection, suggesting potential applications in clinical sample analysis.
Authors: Marco Randazzo; Josef Beatrice; Andreas Huber; Rainer Grobholz; Lukas Manka; Felix K Chun; Franz Recker; Maciej Kwiatkowski Journal: Eur Urol Date: 2014-04-18 Impact factor: 20.096
Authors: Fritz H Schröder; Jonas Hugosson; Monique J Roobol; Teuvo L J Tammela; Stefano Ciatto; Vera Nelen; Maciej Kwiatkowski; Marcos Lujan; Hans Lilja; Marco Zappa; Louis J Denis; Franz Recker; Alvaro Páez; Liisa Määttänen; Chris H Bangma; Gunnar Aus; Sigrid Carlsson; Arnauld Villers; Xavier Rebillard; Theodorus van der Kwast; Paula M Kujala; Bert G Blijenberg; Ulf-Hakan Stenman; Andreas Huber; Kimmo Taari; Matti Hakama; Sue M Moss; Harry J de Koning; Anssi Auvinen Journal: N Engl J Med Date: 2012-03-15 Impact factor: 91.245
Authors: Axel Heidenreich; Patrick J Bastian; Joaquim Bellmunt; Michel Bolla; Steven Joniau; Theodor van der Kwast; Malcolm Mason; Vsevolod Matveev; Thomas Wiegel; Filiberto Zattoni; Nicolas Mottet Journal: Eur Urol Date: 2013-11-12 Impact factor: 20.096