Issue 2, 2021

Current advances in the detection of COVID-19 and evaluation of the humoral response

Abstract

The new outbreak caused by coronavirus SARS-CoV-2 started at the end of 2019 and was declared a pandemic in March 2020. Since then, several diagnostic approaches have been re-adapted, and also improved from the previous detections of SARS and MERS coronavirus. The best strategy to handle this situation seems to rely on a triad of detection methods: (i) highly sensitive and specific techniques as the gold standard method, (ii) easier and faster point of care tests accessible for large population screening, and (iii) serology assays to complement the direct detection and to use for surveillance. In this study, we assessed the techniques and tests described in the literature, their advantages and disadvantages, and the interpretation of the results. Quantitative reverse transcription polymerase chain reaction (RT-qPCR) is undoubtedly the gold standard technique utilized not only for diagnostics, but also as a standard for comparison and validation of newer approaches. Other nucleic acid amplification methods have been shown to be adequate as point of care (POC) diagnostic tests with similar performance as RT-qPCR. The analysis of seroconversion with immunotests shows the complexity of the immune response to COVID-19. The detection of anti-SARS-CoV-2 antibodies can also help to detect previously infected asymptomatic individuals with negative RT-qPCR tests. Nevertheless, more controlled serology cohort studies should be performed as soon as possible to understand the immune response to SARS-CoV-2.

Graphical abstract: Current advances in the detection of COVID-19 and evaluation of the humoral response

Article information

Article type
Critical Review
Submitted
21 আগ. 2020
Accepted
25 নভে. 2020
First published
09 ডিসে. 2020
This article is Open Access
Creative Commons BY license

Analyst, 2021,146, 382-402

Current advances in the detection of COVID-19 and evaluation of the humoral response

M. A. C. Huergo and N. T. K. Thanh, Analyst, 2021, 146, 382 DOI: 10.1039/D0AN01686A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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