Integrated approach for detection of SARS-CoV-2 and its variant by utilizing LAMP and ARMS-PCR

Maryam Nawab, Syeda Kiran Riaz, Eiman Ismail, Alfar Ahamed, Aaysha Tariq, Muhammad Faraz Arshad Malik, Naeem F. Qusty, Farkad Bantun, Petr Slama, Massab Umair, Shafiul Haque, D. Katterine Bonilla-Aldana, Alfonso J. Rodriguez-Morales

Research output: Contribution to journalOriginal Articlepeer-review

2 Scopus citations

Abstract

Global impact of COVID-19 pandemic has heightened the urgency for efficient virus detection and identification of variants such as the Q57H mutation. Early and efficient detection of SARS-CoV-2 among densely populated developing countries is paramount objective. Although RT-PCR assays offer accuracy, however, dependence on expansive kits and availability of allied health resources pose an immense challenge for developing countries. In the current study, RT-LAMP based detection of SARS-Cov-2 with subsequent confirmation of Q57H variant through ARMS-PCR was performed. Among the 212 collected samples, 134 yielded positive results, while 78 tested negative using RT-LAMP. Oropharyngeal swabs of suspected individuals were collected and processed for viral RNA isolation. Isolated viral RNA was processed further by using either commercially available WarmStart Master Mix or our in house developed LAMP master mix separately. Subsequently, the end results of each specimen were evaluated by colorimetry. For LAMP assays, primers targeting three genes (ORF1ab, N and S) were designed using PrimerExplorer software. Interestingly, pooling of these three genes in single reaction tube increased sensitivity (95.5%) and specificity (93.5%) of LAMP assay. SARS-CoV-2 positive specimens were screened further for Q57H mutation using ARMS-PCR. Based on amplicon size variation, later confirmed by sequencing, our data showed 18.5% samples positive for Q57H mutation. Hence, these findings strongly advocate use of RT-LAMP-based assay for SARS-CoV-2 screening within suspected general population. Furthermore, ARMS-PCR also provides an efficient mean to detect prevalent mutations against SARS-Cov-2.

Original languageAmerican English
Article number11
JournalAnnals of Clinical Microbiology and Antimicrobials
Volume23
Issue number1
DOIs
StateIndexed - Dec 2024

Bibliographical note

Publisher Copyright:
© 2024, The Author(s).

Keywords

  • ARMS-PCR
  • ORF1ab
  • Q57H
  • RT-LAMP
  • SARS-CoV-2

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