Development of multiplex RT-ddPCR assays for detection of SARS-CoV-2 and other common respiratory virus infections

Influenza Other Respir Viruses. 2023 Jan;17(1):e13084. doi: 10.1111/irv.13084. Epub 2022 Dec 14.

Abstract

Background: Measures for mitigation of Coronavirus Disease 2019 (COVID-19) were set to reduce the spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). SARS-CoV-2 and other respiratory viruses share similar transmission routes and some common clinical manifestations. Co-circulation of SARS-CoV-2 and other common respiratory viruses is imminent. Therefore, development of multiplex assays for detecting these respiratory viruses is essential for being prepared for future outbreaks of respiratory viruses.

Methods: A panel of three reverse transcription droplet digital PCR (RT-ddPCR) assays were developed to detect 15 different human respiratory viruses. Evaluations of its performance were demonstrated. A total of 100 local and 98 imported COVID-19 cases in Hong Kong were screened for co-infection with other common respiratory viruses.

Results: All detected viral targets showed distinct signal clusters using the multiplex RT-ddPCR assays. These assays have a broad range of linearity and good intra-/inter-assay reproducibility for each target. The lower limits of quantification for all targets were ≤46 copies per reaction. Six imported cases of COVID-19 were found to be co-infected with other respiratory viruses, whereas no local case of co-infection was observed.

Conclusions: The multiplex RT-ddPCR assays were demonstrated to be useful for screening of respiratory virus co-infections. The strict preventive measures applied in Hong Kong may be effective in limiting the circulation of other human respiratory viruses. The multiplex assays developed in this study can achieve a robust detection method for clinical and research purposes.

Keywords: COVID-19; RT-ddPCR; SARS-CoV-2; co-infection; human respiratory viruses.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / diagnosis
  • Coinfection* / diagnosis
  • Coinfection* / epidemiology
  • Humans
  • Real-Time Polymerase Chain Reaction / methods
  • Reproducibility of Results
  • Reverse Transcription
  • SARS-CoV-2