Comparison of real-time PCR and MassTag PCR for the multiplex detection of highly pathogenic agents

MALDI-TOF nucleic acid mass spectrometry for simultaneously detection of fourteen porcine viruses and its application

BACKGROUND

Mixed infections of multiple viruses significantly contribute to the prevalence of swine diseases, adversely affecting global livestock production and the economy. However, effectively monitoring multiple viruses and detecting mixed infection samples remains challenging. This study describes a method that combines single-base extension PCR with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to detect important porcine viruses.

RESULTS

Our approach accurately and simultaneously identified 14 porcine viruses, including porcine circovirus types 1-3, porcine bocaviruses groups 1-3, African swine fever virus, pseudorabies virus, porcine parvovirus, torque teno sus virus, swine influenza virus, porcine reproductive and respiratory syndrome virus, classical swine fever virus, and foot-and-mouth disease virus. The low limit of detection for multiplex identification ranges from 13.54 to 1.59 copies/μL. Inter- and intra-assay stability was found to be ≥98.3 %. In a comprehensive analysis of 114 samples, the assay exhibited overall agreement with qPCR results of 97.9 %.

CONCLUSIONS

The developed MALDI-TOF NAMS assay exhibits high sensitivity, specificity, and reliability in detecting and distinguishing a wide spectrum of porcine viruses in complex matrix samples. This underscores its potential as an efficient diagnostic tool for porcine-derived virus surveillance and swine disease control.

Perspective on Proteomics for Virus Detection in Clinical Samples

One of the most widely used methods to detect an acute viral infection in clinical specimens is diagnostic real-time polymerase chain reaction. However, because of the COVID-19 pandemic, mass-spectrometry-based proteomics is currently being discussed as a potential diagnostic method for viral infections. Because proteomics is not yet applied in routine virus diagnostics, here we discuss its potential to detect viral infections. Apart from theoretical considerations, the current status and technical limitations are considered. Finally, the challenges that have to be overcome to establish proteomics in routine virus diagnostics are highlighted.