A Comprehensive Comparison of Rapid Rna Extraction Methods for Detection of Sars‑Cov‑2 As the Infectious Agent of the Upper Respiratory Tract Using Direct Rt‑Lamp Assay Publisher

Summary: RT-LAMP offers fast, cost-effective COVID-19 detection without RNA extraction, showing high sensitivity and specificity. Could this reshape testing strategies? #COVID19 #DiagnosticTools

Moazamigoodarzi M ; Taghizadeh Pirposhteh R ; Ravan H ; Vahidian F ; Kheirkhah O ; Fotouhi Ardakani R ; Fotouhi F
Source: Advanced Biomedical Research Published:2023

Abstract

Background: The current COVID‑19 pandemic has highlighted the need for faster and more cost‑effective diagnostic methods. The RNA extraction step in current diagnostic methods, such as real‑time qPCR, increases the cost and time required for testing. Reverse‑transcription loop‑mediated isothermal amplification (RT‑LAMP) is a promising technique for developing diagnostic tests with desired sensitivity and specificity without the need for RNA extraction. Materials and Methods: An RT‑LAMP assay was developed to detect SARS‑CoV‑2 with a sensitivity of 0.5 copies of positive control plasmid per microliter in 40 min. Several rapid RNA extraction protocols were evaluated using different reagents, including bovine serum albumin, Triton X‑100, Tween 20, proteinase K, guanidine hydrochloride, guanidinium isothiocyanate (GITC), and thermal treatment. Finally, the sensitivity and specificity of the developed direct RT‑LAMP were determined using 150 upper respiratory tract samples. Results: Method 10 was selected as the most efficient protocol for the RNA extraction step. The sensitivity and specificity of the developed direct RT‑LAMP assay with clinical samples were estimated at 98.4% and 88.8%, respectively. Conclusion: These results suggest that the combination of GITC and Triton X‑100 detergent is a highly efficient method for RNA extraction and direct RT‑LAMP detection of SARS‑CoV‑2 in clinical samples, providing a valuable tool for the rapid and cost‑effective diagnosis of COVID‑19. © 2023 Elsevier B.V., All rights reserved.