Development and Validation of Three Automated High-Throughput Molecular Tests to Detect Monkeypox Virus Infections

Mark Anderson, Austin Hodges, Ka Cheung Luk, Ana Olivo, Kenn Forberg, Todd V. Meyer, Carolyn Strobel, Mark Kim, Dan Toolsie, Nicholas M. Moore, Yitzchak Goldstein, Mary Rodgers, Danijela Lucic, Gavin Cloherty

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background. The 2022 outbreak of the clade IIb monkeypox virus and subsequent global spread lead to an urgent need for the development of high-throughput, sensitive, and reproducible diagnostic tests. Methods. We developed 3 assays to detect monkeypox virus, 2 (MPXV+ and MPXV) for m2000 RealTime and 1 (MPXV) for Alinity m platforms. Dual targets in E9L and B6R (MPXV+) and J2L and B7R (MPXV) increased mutation resistance. In silico prediction indicates MPXV+ cross-reactivity with orthopox viruses and specific monkeypox virus detection with MPXV. Results. m2000 RealTime MPXV+ and MPXV assay sensitivity was determined to be 3.2 plaque-forming units/mL using a reference virus culture diluted into universal transport medium (UTM). Alinity m MPXV lower limit of detection was 200 copies/mL using monkeypox virus plasmids in pooled UTM matrix. m2000 RealTime MPXV+ and MPXV assays were validated with lesion swabs in UTM and 1:1 saliva to UTM mixtures. Commercially available and remnant clinical lesion specimens in UTM were tested with RealTime MPXV+, RealTime MPXV and Alinity m MPXV assays and demonstrated high agreement to known mpox (MPX)-positive specimens. Conclusions. RealTime MPXV+, RealTime MPXV, and Alinity MPXV are high throughput and sensitive assays used for the detection of monkeypox virus. These assays maybe useful during MPX outbreaks.

Original languageEnglish (US)
Pages (from-to)S137-S143
JournalJournal of Infectious Diseases
Volume229
DOIs
StatePublished - Apr 15 2024
Externally publishedYes

Keywords

  • Alinity m
  • MPX
  • MPXV
  • PCR
  • diagnostics
  • real time

ASJC Scopus subject areas

  • General Medicine

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