Meinig School of Biomedical Engineering , Cornell University , Ithaca , New York 14853 , United States.
Sibley School of Mechanical and Aerospace Engineering , Cornell University , Ithaca , New York 14853 , United States.
Anal Chem. 2019 Apr 16;91(8):5415-5423. doi: 10.1021/acs.analchem.9b00704. Epub 2019 Mar 29.
In this work, we demonstrate a rapid diagnostic platform with potential to transform clinical diagnosis of acute febrile illnesses in resource-limited settings. Acute febrile illnesses such as dengue and chikungunya, which pose high burdens of disease in tropical regions, share many nonspecific symptoms and are difficult to diagnose based on clinical history alone in the absence of accessible laboratory diagnostics. Through a unique color-mixing encoding and readout strategy, our platform enabled consistent and accurate multiplexed detection of dengue and chikungunya IgM/IgG antibodies in human clinical samples within 30 min. Our multiplex assay offers several advantages over conventional rapid diagnostic tests deployed in resource-limited settings, including a low sample volume requirement and the ability to concurrently detect four analytes. Our platform is a step toward multiplexed diagnostics that will be transformative for disease management in resource-limited settings by enabling informed treatment decisions through accessible evidence-based diagnosis.
在这项工作中,我们展示了一种快速诊断平台,有潜力改变资源有限环境下急性发热疾病的临床诊断。登革热和基孔肯雅热等急性发热疾病在热带地区造成很大疾病负担,它们具有许多非特异性症状,在缺乏便捷实验室诊断的情况下,仅根据临床病史很难进行诊断。通过独特的颜色混合编码和读出策略,我们的平台能够在 30 分钟内对人类临床样本中的登革热和基孔肯雅热 IgM/IgG 抗体进行一致且准确的多重检测。与在资源有限环境中部署的传统快速诊断检测相比,我们的多重检测具有多个优势,包括对小样本量的需求和同时检测四种分析物的能力。我们的平台是迈向多重诊断的一步,通过便捷的基于证据的诊断来实现有针对性的治疗决策,从而改变资源有限环境下的疾病管理。