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侧向流动免疫分析(LFIA)在登革热诊断中的应用:最新进展与展望。

Lateral flow immunoassay (LFIA) for dengue diagnosis: Recent progress and prospect.

机构信息

Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China.

Department of Biomedical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China.

出版信息

Talanta. 2024 Jan 15;267:125268. doi: 10.1016/j.talanta.2023.125268. Epub 2023 Oct 2.

DOI:10.1016/j.talanta.2023.125268
PMID:37813013
Abstract

Dengue is one of the most widespread and fatal arboviral infections in the world. Early detection of dengue virus (DENV) is essential to prevent the spread of the disease and provide an immediate response. The lateral flow immunoassay (LFIA) systems are low-cost, rapid, sensitive, targeted, and straightforward detection, which is an ideal early detection candidate for point-of-care testing (POCT) in dengue-affected areas. However, current commercial LFIA kits cannot fully satisfy the sensitivity, specificity, serotype differentiation, and multiplex detection requirements. Therefore, various strategies have been applied to optimize the LFIA for DENV detection, including label material improvement, optical enhancement and novel structure design. In this review, we comprehensively presented the snapshot of dengue, the principle of LFIA, and recent progress in the LFIA optimization for dengue diagnoses. Furthermore, this review also discusses insights into the prospect of LFIA dengue diagnostic methods, such as microfluidics, multiplex design, nucleic acid-typed probes and smartphone-assisted result analysis.

摘要

登革热是世界上分布最广、死亡率最高的虫媒病毒感染之一。早期发现登革病毒(DENV)对于防止疾病传播和及时作出反应至关重要。侧向流动免疫分析(LFIA)系统具有成本低、快速、敏感、靶向和简单的检测特点,是登革热疫区即时护理检测(POCT)的理想早期检测候选方法。然而,目前的商业 LFIA 试剂盒不能完全满足灵敏度、特异性、血清型分化和多重检测的要求。因此,已经应用了各种策略来优化 LFIA 以进行 DENV 检测,包括改进标记材料、光学增强和新型结构设计。在这篇综述中,我们全面介绍了登革热的现状、LFIA 的原理以及 LFIA 在登革热诊断中的最新优化进展。此外,本综述还讨论了对 LFIA 登革热诊断方法的前景展望,例如微流控、多重设计、核酸型探针和智能手机辅助结果分析。

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