Emerging Landscape of SARS-CoV-2 Variants and Detection Technologies

被引:0
作者
Xianghui Li
Jing Wang
Jingping Geng
Liming Xiao
Hu Wang
机构
[1] China Three Gorges University,Department of Microbiology and Immunology, Medical School
[2] Johns Hopkins University,Institute of Cell Engineering, School of Medicine
[3] Bloomberg School of Public Health,Department of Biochemistry and Molecular Biology
[4] Johns Hopkins University,undefined
来源
Molecular Diagnosis & Therapy | 2023年 / 27卷
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摘要
In 2019, a new coronavirus was identified that has caused significant morbidity and mortality worldwide. Like all RNA viruses, severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) evolves over time through random mutation resulting in genetic variations in the population. Although the currently approved coronavirus disease 2019 vaccines can be given to those over 5 years of age and older in most countries, strikingly, the number of people diagnosed positive for SARS-Cov-2 is still increasing. Therefore, to prevent and control this epidemic, early diagnosis of infected individuals is of great importance. The current detection of SARS-Cov-2 coronavirus variants are mainly based on reverse transcription-polymerase chain reaction. Although the sensitivity of reverse transcription-polymerase chain reaction is high, it has some disadvantages, for example, multiple temperature changes, long detection time, complicated operation, expensive instruments, and the need for professional personnel, which brings considerable inconvenience to the early diagnosis of this virus. This review comprehensively summarizes the development and application of various current detection technologies for novel coronaviruses, including isothermal amplification, CRISPR-Cas detection, serological detection, biosensor, ensemble, and microfluidic technology, along with next-generation sequencing. Those findings offer us a great potential to replace or combine with reverse transcription-polymerase chain reaction detection to achieve the purpose of allowing predictive diagnostics and targeted prevention of SARS-Cov-2 in the future.
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页码:159 / 177
页数:18
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