期刊
JOURNAL OF MICROBIOLOGY IMMUNOLOGY AND INFECTION
卷 54, 期 2, 页码 164-174出版社
ELSEVIER TAIWAN
DOI: 10.1016/j.jmii.2020.05.016
关键词
Coronavirus disease-2019; Real-time reverse transcription PCR; Anti-SARS-CoV-2 antibody; Lateral flow immunoassay; Point-of-care
Laboratory-based diagnostic measures such as rRT-PCR are essential for detecting SARS-CoV-2, but are limited by false-negative results and long turnaround times. Serological diagnosis is simple and suitable for rapid detection, but cannot confirm the virus and may result in false negatives. Balancing the use of these tests and their limitations is a significant challenge in diagnosing COVID-19.
Laboratory-based diagnostic measures including virological and serological tests are essential for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Real-time reverse transcription-polymerase chain reactions (rRT-PCR) can detect SARS-COV-2 by targeting open reading frame-1 antibodies (ORF1ab), envelope protein, nucleocapsid protein, RNA-dependent RNA polymerase genes, and the N1, N2, and N3 (3N) target genes. Therefore, rRT-PCR remains the primary method of diagnosing SARS-CoV-2 despite being limited by false-negative results, long turnaround, complex protocols, and a need for skilled personnel. Serological diagnosis of coronavirus disease 2019 (COVID-19) is simple and does not require complex techniques and equipment, rendering it suitable for rapid detection and massive screening. However, serological tests cannot confirm SARS-CoV-2, and results will be false negative when antibody concentrations fall below detection limits. Balancing the increased use of laboratory tests, risk of testing errors, need for tests, burden on healthcare systems, benefits of early diagnosis, and risk of unnecessary exposure is a significant and persistent challenge in diagnosing COVID-19. Copyright (c) 2020, Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据