Chen Yinghui, Shimoni Olga, Huang Guan, Wen Shihui, Liao Jiayan, Duong Hien T T, Maddahfar Mahnaz, Su Qian Peter, Ortega David Gallego, Lu Yanling, Campbell Douglas H, Walsh Bradley J, Jin Dayong
Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, New South Wales, Australia.
ARC Research Hub for Integrated Device for End-user Analysis at Low-levels (IDEAL), Faculty of Science, University of Technology Sydney, New South Wales, Australia.
Cytometry A. 2022 May;101(5):400-410. doi: 10.1002/cyto.a.24504. Epub 2021 Oct 3.
Sensitive and quantitative detection of molecular biomarkers is crucial for the early diagnosis of diseases like metabolic syndrome and cancer. Here we present a single-molecule sandwich immunoassay by imaging the number of single nanoparticles to diagnose aggressive prostate cancer. Our assay employed the photo-stable upconversion nanoparticles (UCNPs) as labels to detect the four types of circulating antigens in blood circulation, including glypican-1 (GPC-1), leptin, osteopontin (OPN), and vascular endothelial growth factor (VEGF), as their serum concentrations indicate aggressive prostate cancer. Under a wide-field microscope, a single UCNP doped with thousands of lanthanide ions can emit sufficiently bright anti-Stokes' luminescence to become quantitatively detectable. By counting every single streptavidin-functionalized UCNP which specifically labeled on each sandwich immune complex across multiple fields of views, we achieved the Limit of Detection (LOD) of 0.0123 ng/ml, 0.2711 ng/ml, 0.1238 ng/ml, and 0.0158 ng/ml for GPC-1, leptin, OPN and VEGF, respectively. The serum circulating level of GPC-1, leptin, OPN, and VEGF in a mixture of 10 healthy normal human serum was 25.17 ng/ml, 18.04 ng/ml, 11.34 ng/ml, and 1.55 ng/ml, which was within the assay dynamic detection range for each analyte. Moreover, a 20% increase of GPC-1 and OPN was observed by spiking the normal human serum with recombinant antigens to confirm the accuracy of the assay. We observed no cross-reactivity among the four biomarker analytes, which eliminates the false positives and enhances the detection accuracy. The developed single upconversion nanoparticle-assisted single-molecule assay suggests its potential in clinical usage for prostate cancer detection by monitoring tiny concentration differences in a panel of serum biomarkers.
分子生物标志物的灵敏定量检测对于代谢综合征和癌症等疾病的早期诊断至关重要。在此,我们通过对单个纳米颗粒数量进行成像,提出了一种单分子夹心免疫测定法,用于诊断侵袭性前列腺癌。我们的测定法采用光稳定的上转换纳米颗粒(UCNPs)作为标记物,以检测血液循环中的四种循环抗原,包括磷脂酰肌醇蛋白聚糖-1(GPC-1)、瘦素、骨桥蛋白(OPN)和血管内皮生长因子(VEGF),因为它们的血清浓度表明存在侵袭性前列腺癌。在宽视野显微镜下,掺杂数千个镧系离子的单个UCNP能够发出足够明亮的反斯托克斯发光,从而可进行定量检测。通过对跨多个视野在每个夹心免疫复合物上特异性标记的每个链霉亲和素功能化UCNP进行计数,我们分别实现了对GPC-1、瘦素、OPN和VEGF的检测限(LOD)为0.0123 ng/ml、0.2711 ng/ml、0.1238 ng/ml和0.0158 ng/ml。10份健康正常人血清混合物中GPC-1、瘦素、OPN和VEGF的血清循环水平分别为25.17 ng/ml、18.04 ng/ml、11.34 ng/ml和1.55 ng/ml,均在每种分析物的测定动态检测范围内。此外,通过向正常人血清中加入重组抗原来观察GPC-1和OPN增加20%,以确认该测定法的准确性。我们观察到四种生物标志物分析物之间无交叉反应,这消除了假阳性并提高了检测准确性。所开发的单上转换纳米颗粒辅助单分子测定法表明,通过监测一组血清生物标志物中的微小浓度差异,其在前列腺癌检测的临床应用中具有潜力。