Vairaperumal Tharmaraj, Lee Po-Tseng, Liu Ping-Yen
Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan, ROC.
Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan, ROC.
ACS Sens. 2025 May 23;10(5):3302-3316. doi: 10.1021/acssensors.5c00263. Epub 2025 Mar 31.
Dengue virus (DENV) infection is a major global public health problem, particularly in tropical and subtropical regions where Aedes mosquitoes are prevalent. The clinical spectrum of dengue ranges from mild febrile illness to severe conditions such as dengue hemorrhagic fever and dengue shock syndrome. Early prediction of dengue progress is crucial for timely therapeutic medications, which can reduce both morbidity and mortality. Traditional diagnostic methods such as serological tests and polymerase chain reactions are often time-consuming and require sophisticated infrastructure and skilled personnel. To overcome these limitations, the development of point-of-care (POC) diagnosis platforms and novel predictive biomarkers is crucial to providing rapid, real-time diagnostic tools that can be used in low-resource settings and at the patient's bedside. Predictive biomarkers enable the identification of disease risk in the early stages and can reduce hospitalization visits. This review offers a comprehensive overview of portable POC diagnosis platforms and emerging predictive biomarkers for the rapid diagnosis of severe DENV infection. Its provides an overview of its epidemiology, discusses the global burden of DENV, and explores DENV infection with different serotypes, as well as the clinical spectrum and severity of dengue. The key focus is on the latest advancements in POC diagnosis readout methods and portable POC devices for DENV diagnosis, including colorimetric assay, electrochemical method, lateral flow strip, and microfluidic chip platforms. In addition, the review article explores various emerging predictive biomarkers for the rapid detection of DENV, while also highlighting the limitations associated with protein, nucleic acid, and metabolic biomarkers. Finally, we address the current challenges, limitations, and potential future directions of POC diagnosis platforms for the diagnosis of severe DENV infection.
登革病毒（DENV）感染是一个重大的全球公共卫生问题，在伊蚊盛行的热带和亚热带地区尤为突出。登革热的临床症状范围从轻度发热疾病到严重病症，如登革出血热和登革休克综合征。登革热病情进展的早期预测对于及时使用治疗药物至关重要，这可以降低发病率和死亡率。传统的诊断方法，如血清学检测和聚合酶链反应，往往耗时且需要精密的基础设施和技术熟练的人员。为克服这些局限性，开发即时检测（POC）诊断平台和新型预测生物标志物对于提供可在资源匮乏环境和患者床边使用的快速、实时诊断工具至关重要。预测生物标志物能够在疾病早期识别疾病风险，并可减少住院就诊次数。本综述全面概述了用于快速诊断严重登革病毒感染的便携式即时检测诊断平台和新兴预测生物标志物。它概述了登革热的流行病学，讨论了登革病毒的全球负担，探讨了不同血清型的登革病毒感染以及登革热的临床症状范围和严重程度。重点关注即时检测诊断读出方法和用于登革病毒诊断的便携式即时检测设备的最新进展，包括比色测定法、电化学方法、侧向流动试纸条和微流控芯片平台。此外，这篇综述文章探讨了用于快速检测登革病毒的各种新兴预测生物标志物，同时也强调了与蛋白质、核酸和代谢生物标志物相关的局限性。最后，我们阐述了用于诊断严重登革病毒感染的即时检测诊断平台当前面临的挑战、局限性以及潜在的未来发展方向。
