Development of real-time RT-PCR assays to detect measles virus on the Hologic Panther Fusion® System.

In 2019, Aotearoa New Zealand (NZ) experienced its worst measles outbreak since 1997. Due to declining childhood vaccination rates since the beginning of the SARS-CoV-2 pandemic, NZ is at serious risk of another major measles outbreak. Our laboratory provides diagnostic services to NZ's Southern region. In 2019 the Southern region experienced the greatest number of cases outside of Auckland and Northland, however we did not have a validated measles PCR assay in our laboratory. We sought to develop reverse transcription real-time polymerase chain reaction (RT-PCR) assays for measles on the Hologic Panther Fusion® System by utilising its open access function. Previously published real-time RT-PCR assays were modified and optimised to detect wild-type measles virus (LDT-Mea), and the vaccine strain of measles virus (LDT-MeaVacA), on the Hologic Panther Fusion® System. The assays were clinically validated. The LDT-Mea assay has a limit of detection (LoD) of 0.1 CCID50, while the LDT-MeaVacA assay is less sensitive with a LoD of 1 CCID50. Using 27 samples, the clinical sensitivity and specificity was 100% for both assays. Other common respiratory viruses were found not to cross-react with either the LDT-Mea or LDT-MeaVacA assays. We have successfully adapted and validated for diagnostic use on the Hologic Panther Fusion® System previously published assays to detect wild-type and vaccine strains of the measles virus. The implementation of measles testing on this system will greatly improve the turn-around time for measles testing, and better support the measles public health response, for our region. Copyright © 2022 Elsevier B.V. All rights reserved.

Citation

Jenny Grant, Nadika Atapattu, Meik Dilcher, Chor Ee Tan, Juliet Elvy, James E Ussher. Development of real-time RT-PCR assays to detect measles virus on the Hologic Panther Fusion® System. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology. 2023 Feb;159:105355

Mesh Tags

PMID: 36603330

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