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Torquetenovirus Viremia Quantification Using Real-Time PCR Developed on a Fully Automated, Random-Access Platform.

Authors :
Spezia, Pietro Giorgio
Carletti, Fabrizio
Novazzi, Federica
Specchiarello, Eliana
Genoni, Angelo
Drago Ferrante, Francesca
Minosse, Claudia
Matusali, Giulia
Mancini, Nicasio
Focosi, Daniele
Antonelli, Guido
Girardi, Enrico
Maggi, Fabrizio
Source :
Viruses (1999-4915); Jun2024, Vol. 16 Issue 6, p963, 9p
Publication Year :
2024

Abstract

Quantification of Torquetenovirus (TTV) viremia is becoming important for evaluating the status of the immune system in solid organ transplant recipients, monitoring the appearance of post-transplant complications, and controlling the efficacy of maintenance immunosuppressive therapy. Thus, diagnostic approaches able to scale up TTV quantification are needed. Here, we report on the development and validation of a real-time PCR assay for TTV quantification on the Hologic Panther Fusion<superscript>®</superscript> System by utilizing its open-access channel. The manual real-time PCR previously developed in our laboratories was optimized to detect TTV DNA on the Hologic Panther Fusion<superscript>®</superscript> System. The assay was validated using clinical samples. The automated TTV assay has a limit of detection of 1.6 log copies per ml of serum. Using 112 samples previously tested via manual real-time PCR, the concordance in TTV detection was 93% between the assays. When the TTV levels were compared, the overall agreement between the methods, as assessed using Passing–Bablok linear regression and Bland–Altman analyses, was excellent. In summary, we validated a highly sensitive and accurate method for the diagnostic use of TTV quantification on a fully automated Hologic Panther Fusion<superscript>®</superscript> System. This will greatly improve the turnaround time for TTV testing and better support the laboratory diagnosis of this new viral biomarker. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19994915
Volume :
16
Issue :
6
Database :
Complementary Index
Journal :
Viruses (1999-4915)
Publication Type :
Academic Journal
Accession number :
178154361
Full Text :
https://doi.org/10.3390/v16060963