Viruses (May 2023)

Rapid Detection of SARS-CoV-2 RNA Using Reverse Transcription Recombinase Polymerase Amplification (RT-RPA) with Lateral Flow for N-Protein Gene and Variant-Specific Deletion–Insertion Mutation in S-Protein Gene

  • Jose L. Malaga,
  • Monica J. Pajuelo,
  • Michiko Okamoto,
  • Emmanuel Kagning Tsinda,
  • Kanako Otani,
  • Pablo Tsukayama,
  • Lucero Mascaro,
  • Diego Cuicapuza,
  • Masamichi Katsumi,
  • Kazuhisa Kawamura,
  • Hidekazu Nishimura,
  • Akie Sakagami,
  • Yo Ueki,
  • Suguru Omiya,
  • Satoshi Okamoto,
  • Asami Nakayama,
  • Shin-ichi Fujimaki,
  • Chuyao Yu,
  • Sikandar Azam,
  • Eiichi Kodama,
  • Clyde Dapat,
  • Hitoshi Oshitani,
  • Mayuko Saito

DOI
https://doi.org/10.3390/v15061254
Journal volume & issue
Vol. 15, no. 6
p. 1254

Abstract

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Rapid molecular testing for severe acute respiratory coronavirus 2 (SARS-CoV-2) variants may contribute to the development of public health measures, particularly in resource-limited areas. Reverse transcription recombinase polymerase amplification using a lateral flow assay (RT-RPA-LF) allows rapid RNA detection without thermal cyclers. In this study, we developed two assays to detect SARS-CoV-2 nucleocapsid (N) gene and Omicron BA.1 spike (S) gene-specific deletion–insertion mutations (del211/ins214). Both tests had a detection limit of 10 copies/µL in vitro and the detection time was approximately 35 min from incubation to detection. The sensitivities of SARS-CoV-2 (N) RT-RPA-LF by viral load categories were 100% for clinical samples with high (>9015.7 copies/µL, cycle quantification (Cq): < 25) and moderate (385.5–9015.7 copies/µL, Cq: 25–29.9) viral load, 83.3% for low (16.5–385.5 copies/µL, Cq: 30–34.9), and 14.3% for very low (<16.5 copies/µL, Cq: 35–40). The sensitivities of the Omicron BA.1 (S) RT-RPA-LF were 94.9%, 78%, 23.8%, and 0%, respectively, and the specificity against non-BA.1 SARS-CoV-2-positive samples was 96%. The assays seemed more sensitive than rapid antigen detection in moderate viral load samples. Although implementation in resource-limited settings requires additional improvements, deletion–insertion mutations were successfully detected by the RT-RPA-LF technique.

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