Department of Bioengineering, University of Washington, Seattle, WA, USA.
Lab Chip. 2019 Feb 26;19(5):885-896. doi: 10.1039/c8lc00691a.
Influenza is a viral respiratory tract infection responsible for up to 5 million cases of severe infection and nearly 600 000 deaths worldwide each year. While treatments for influenza exist, diagnostics for the virus at the point of care are limited in their sensitivity and ability to differentiate between subtypes. We have developed an integrated two-dimensional paper network (2DPN) for the detection of the influenza virus by the surface glycoprotein, hemagglutinin. The hemagglutinin assay was developed using proteins computationally designed to bind with high affinity to the highly-conserved sialic acid binding site. The integrated 2DPN uses a novel geometry that allows automated introduction of an enzymatic amplification reagent directly to the detection zone. This assay was integrated into a prototype device and demonstrated successful detection of clinically relevant virus concentrations spiked into 70 μL of virus-free pediatric nasal swab samples. Using this novel geometry, we found improved assay performance on the device (compared to a manually-operated dipstick method), with a sensitivity of 4.45 × 102 TCID50 per mL on device.
流感是一种病毒性呼吸道感染,每年在全球导致多达 500 万例严重感染和近 60 万例死亡。虽然有治疗流感的方法,但在护理点的病毒诊断在灵敏度和区分亚型的能力方面受到限制。我们已经开发了一种集成的二维纸质网络(2DPN),用于通过表面糖蛋白血凝素检测流感病毒。血凝素测定法使用经过计算设计的蛋白质来开发,这些蛋白质与高度保守的唾液酸结合位点具有高亲和力。集成的 2DPN 使用一种新颖的几何形状,允许自动将酶扩增试剂引入检测区域。该测定法被整合到原型设备中,并成功地检测到了 70 μL 无病毒儿科鼻拭子样本中掺入的临床相关病毒浓度。使用这种新颖的几何形状,我们发现设备上的检测性能得到了改善(与手动操作的试纸条方法相比),设备上的灵敏度为每毫升 4.45×102TCID50。