SARS-CoV-2 detection methods: A comprehensive review.

COVID-19 Detection methods RT-qPCR SARS-CoV-2 Serology Specimens Variants

Journal

Saudi journal of biological sciences
ISSN: 1319-562X
Titre abrégé: Saudi J Biol Sci
Pays: Saudi Arabia
ID NLM: 101543796

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 03 01 2022
revised: 28 08 2022
accepted: 21 09 2022
pubmed: 4 10 2022
medline: 4 10 2022
entrez: 3 10 2022
Statut: ppublish

Résumé

The ongoing novel COVID-19 has remained the center of attention, since its declaration as a pandemic in March 2020, due to its rapid and uncontrollable worldwide spread. Diagnostic tests are the first line of defense against the transmission of this infectious disease among individuals, with reverse-transcription quantitative polymerase chain reaction (RT-qPCR) being the approved gold standard for showing high sensitivity and specificity in detecting SARS-CoV-2. However, alternative tests are being invested due to the global demand for facilities, reagents, and healthcare workers needed for rapid population-based testing. Also, the rapid evolution of the viral genome and the emergence of new variants necessitates updating the existing methods. Scientists are aiming to improve tests to be affordable, simple, fast, and at the same time accurate, and efficient, as well as friendly user testing. The current diagnostic methods are either molecular-based that detect nucleic acids abundance, like RT-qPCR and reverse-transcription loop-mediated isothermal amplification (RT-LAMP); or immunologically based that detect the presence of antigens or antibodies in patients' specimens, like enzyme-linked immunosorbent assay (ELISA), lateral flow assay (LFA), chemiluminescent immunoassay (CLIA), and neutralization assay. In addition to these strategies, sensor-based or CRISPR applications are promising tools for the rapid detection of SARS-CoV-2. This review summarizes the most recent updates on the SARS-CoV-2 detection methods with their limitations. It will guide researchers, epidemiologists, and clinicians in identifying a more rapid, reliable, and sensitive method of diagnosing SARS-CoV-2 including the most recent variant of concern Omicron.

Identifiants

pubmed: 36186678
doi: 10.1016/j.sjbs.2022.103465
pii: S1319-562X(22)00381-3
pmc: PMC9512523
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

103465

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Galyah Alhamid (G)

Department of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
Biotechnology Master Program, Imam Abdulrahman bin Faisal University, Saudi Arabia.

Huseyin Tombuloglu (H)

Department of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.

Ali A Rabaan (AA)

Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.

Ebtesam Al-Suhaimi (E)

Department of Biology, College of Science and Institute of Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, 31441 Dammam, Saudi Arabia.

Classifications MeSH