清脆的
炎症
生物标志物
骨关节炎
注意事项
检测点注意事项
纤维
医学
计算生物学
生物
内科学
化学
病理
基因
遗传学
替代医学
有机化学
作者
Siyi Zou,Jingnan Li,Sheng Lu,Danyu Li,Yuxuan Li,Weiguo Zhang,Xiaolin Cui,J. Justin Gooding,Kui Tian,Guozhen Liu
标识
DOI:10.1016/j.device.2024.100319
摘要
Summary
Inflammation quantification through the detection of cytokines and inflammatory factors in a point-of-care scenario is crucial for managing and preventing diseases. Achieving early-stage inflammation quantification in osteoarthritis (OA), before the radiographic findings become apparent, may provide an opportunity for accurate diagnosis and effective therapy, potentially preventing joint degeneration. Here, we developed a glass-fiber-based universal system with CRISPR-Cas12a-based immunosensors (GUSCI) for simultaneous detection of multiple inflammation biomarkers using a portable fluorescence detection device. GUSCI enables the detection of five inflammation biomarkers (interleukin-4 [IL-4], IL-6, tumor necrosis factor alpha [TNF-α], interferon γ [IFN-γ], and matrix metalloproteinase 3 [MMP-3]) with picomolar sensitivity in a 10-μL sample while having less than 75 min of assay time and a smartphone signal readout. A cohort study of 35 synovial samples from OA patients revealed differences in inflammation levels. This "sample in, answer out" platform not only aids in understanding OA progression but also offers a versatile strategy for point-of-care diagnosis of a wide range of diseases in resource-limited settings.
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