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登革热检测:从传统技术到即时检测的诊断工具的进展。

Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care.

机构信息

Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA.

Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.

出版信息

Biosensors (Basel). 2021 Jun 23;11(7):206. doi: 10.3390/bios11070206.

Abstract

The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for DENV testing, such as NS1 based antigen testing, IgM/IgG antibody testing, and Polymerase Chain Reaction (PCR). In addition, novel methods are emerging that can cut both cost and time. Such methods can be effective in rural and low-income areas throughout the world. In this paper, we discuss the structural evolution of the virus followed by a comprehensive review of current dengue detection strategies and methods that are being developed or commercialized. We also discuss the state of art biosensing technologies, evaluated their performance and outline strategies to address challenges posed by the disease. Further, we outline future guidelines for the improved usage of diagnostic tools during recurrence or future outbreaks of DENV.

摘要

登革热病毒(DENV)是一种经媒介传播的黄病毒,每年约有 3.9 亿人感染,25 亿人面临感染风险。获得检测是预防未来感染和获得适当治疗的关键。目前,有许多常规的 DENV 检测方法,如基于 NS1 的抗原检测、IgM/IgG 抗体检测和聚合酶链反应(PCR)。此外,新的方法也在不断涌现,可以降低成本和时间。这些方法在全球农村和低收入地区可能非常有效。在本文中,我们讨论了病毒的结构进化,然后全面回顾了正在开发或商业化的当前登革热检测策略和方法。我们还讨论了最先进的生物传感技术,评估了它们的性能,并概述了解决该疾病带来的挑战的策略。此外,我们还概述了在 DENV 再次发生或未来爆发时改进诊断工具使用的未来指导方针。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b71/8301808/3dd160f53974/biosensors-11-00206-g001.jpg

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