Recent advances in immunoassay technologies for the detection of human coronavirus infections

• Published in: Frontiers in cellular and infection microbiology Vol. 12; p. 1040248
• Main Authors: Wang, Danqi, Chen, Yuejun, Xiang, Shan, Hu, Huiting, Zhan, Yujuan, Yu, Ying, Zhang, Jingwen, Wu, Pian, Liu, Fei Yue, Kai, Tianhan, Ding, Ping
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 04.01.2023
• Subjects: Cellular and Infection Microbiology; COVID-19 - diagnosis; diagnosis; human coronavirus; Humans; Immunoassay; immunosensor; Real-Time Polymerase Chain Reaction; Retrospective Studies; SARS-CoV-2; SARS-CoV-2 - genetics; Sensitivity and Specificity; serological testing methods; diagnosis; immunosensor; SARS-CoV-2; human coronavirus; serological testing methods
• ISSN: 2235-2988; 2235-2988
• DOI: 10.3389/fcimb.2022.1040248

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the seventh coronavirus (CoV) that has spread in humans and has become a global pandemic since late 2019. Efficient and accurate laboratory diagnostic methods are one of the crucial means to control the development of the current pandemic and to prevent potential future outbreaks. Although real-time reverse transcription-polymerase chain reaction (rRT-PCR) is the preferred laboratory method recommended by the World Health Organization (WHO) for diagnosing and screening SARS-CoV-2 infection, the versatile immunoassays still play an important role for pandemic control. They can be used not only as supplemental tools to identify cases missed by rRT-PCR, but also for first-line screening tests in areas with limited medical resources. Moreover, they are also indispensable tools for retrospective epidemiological surveys and the evaluation of the effectiveness of vaccination. In this review, we summarize the mainstream immunoassay methods for human coronaviruses (HCoVs) and address their benefits, limitations, and applications. Then, technical strategies based on bioinformatics and advanced biosensors were proposed to improve the performance of these methods. Finally, future suggestions and possibilities that can lead to higher sensitivity and specificity are provided for further research.