Robust clinical detection of SARS-CoV-2 variants by RT-PCR/MALDI-TOF multitarget approach

Matthew M. Hernandez, Radhika Banu, Ana S. Gonzalez-Reiche, Adriana van de Guchte, Zenab Khan, Paras Shrestha, Liyong Cao, Feng Chen, Huanzhi Shi, Ayman Hanna, Hala Alshammary, Shelcie Fabre, Angela Amoako, Ajay Obla, Bremy Alburquerque, Luz Helena Patiño, Juan David Ramírez, Robert Sebra, Melissa R. Gitman, Michael D. NowakCarlos Cordon-Cardo, Ted E. Schutzbank, Viviana Simon, Harm van Bakel, Emilia Mia Sordillo, Alberto E. Paniz-Mondolfi

Research output: Contribution to journalResearch Articlepeer-review

11 Scopus citations

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has sparked the rapid development of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnostics. However, emerging variants pose the risk for target dropout and false-negative results secondary to primer/probe binding site (PBS) mismatches. The Agena MassARRAY® SARS-CoV-2 Panel combines reverse-transcription polymerase chain reaction and matrix-assisted laser desorption/ionization time-of-flight mass-spectrometry to probe for five targets across N and ORF1ab genes, which provides a robust platform to accommodate PBS mismatches in divergent viruses. Herein, we utilize a deidentified data set of 1262 SARS-CoV-2-positive specimens from Mount Sinai Health System (New York City) from December 2020 to April 2021 to evaluate target results and corresponding sequencing data. Overall, the level of PBS mismatches was greater in specimens with target dropout. Of specimens with N3 target dropout, 57% harbored an A28095T substitution that is highly specific for the Alpha (B.1.1.7) variant of concern. These data highlight the benefit of redundancy in target design and the potential for target performance to illuminate the dynamics of circulating SARS-CoV-2 variants.

Original languageEnglish (US)
JournalJournal of Medical Virology
DOIs
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Virology
  • Infectious Diseases

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