Diagnostics (Apr 2023)

Validation of a MALDI-TOF MS Method for SARS-CoV-2 Detection on the Bruker Biotyper and Nasopharyngeal Swabs: A Brazil—UK Collaborative Study

  • Otávio A. Lovison,
  • Raminta Grigaitė,
  • Fabiana C. Z. Volpato,
  • Jason K. Iles,
  • Jon Lacey,
  • Fabiano Barreto,
  • Sai R. Pandiri,
  • Lisiane da Luz R. Balzan,
  • Vlademir V. Cantarelli,
  • Afonso Luis Barth,
  • Ray K. Iles,
  • Andreza F. Martins

DOI
https://doi.org/10.3390/diagnostics13081470
Journal volume & issue
Vol. 13, no. 8
p. 1470

Abstract

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We developed a MALDI-TOF mass spectrometry method for the detection of the SARS-CoV-2 virus in saliva-gargle samples using Shimadzu MALDI-TOF mass spectrometers in the UK. This was validated in the USA to CLIA-LDT standards for asymptomatic infection detection remotely via sharing protocols, shipping key reagents, video conferencing, and data exchange. In Brazil, more so than in the UK and USA, there is a need to develop non-PCR-dependent, rapid, and affordable SARS-CoV-2 infection screening tests that also identify variant SARS-CoV-2 and other virus infections. In addition, travel restrictions necessitated remote collaboration with validation on the available clinical MALDI-TOF—the Bruker Biotyper (microflex® LT/SH)—and on nasopharyngeal swab samples, as salivary gargle samples were not available. The Bruker Biotyper was shown to be almost log103 more sensitive at the detection of high molecular weight spike proteins. A protocol for saline swab soaks out was developed, and duplicate swab samples collected in Brazil were analyzed by MALDI-TOF MS. The swab collected sample spectra that varied from that of saliva-gargle in three additional mass peaks in the mass region expected for IgG heavy chains and human serum albumin. A subset of clinical samples with additional high mass, probably spike-related proteins, were also found. Further, spectral data comparisons and analysis, subjected to machine learning algorithms in order to resolve RT-qPCR positive from RT-qPCR negative swab samples, showed 56–62% sensitivity, 87–91% specificity, and a 78% agreement with RT-qPCR scoring for SARS-CoV-2 infection.

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