Standardization of SARS-CoV-2 Nucleic Acid Amplification Techniques by Calibration and Quantification to the First WHO International Standard for SARS-CoV-2 RNA.

Clinical decision-making regarding isolation of SARS-CoV-2 patients is usually based on semiquantitative cycle-threshold (Ct) values without standardization. However, not all molecular assays produce Ct values, and there is ongoing discussion about whether Ct values can be safely used for decision-making. In this study, we standardized two molecular assays which use different nucleic acid amplification techniques (NAAT): the Hologic Aptima SARS-CoV-2/Flu (TMA) and Roche Cobas 6800 SARS-CoV-2 assays. We calibrated these assays against the first WHO international standard for SARS-CoV-2 RNA by using linear regression of log10 dilution series. These calibration curves were used to calculate viral loads for clinical samples. Clinical performance was assessed retrospectively using samples collected between January 2020 and November 2021, including known positives of the wild-type SARS-CoV-2 virus, the VOCs (alpha, beta, gamma, delta, and omicron) and quality control panels. Linear regression and Bland-Altman analysis showed good correlations for SARS-CoV-2 between Panther TMA and Cobas 6800 when standardized viral loads were used. These standardized quantitative results can benefit clinical decision-making and standardization of infection control guidelines.

Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning.

In this paper, deep learning is coupled with explainable artificial intelligence techniques for the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural network classifier is first trained on 553 sequences from the National Genomics Data Center repository, separating the genome of different virus strains from the Coronavirus family with 98.73% accuracy. The network's behavior is then analyzed, to discover sequences used by the model to identify SARS-CoV-2, ultimately uncovering sequences exclusive to it. The discovered sequences are validated on samples from the National Center for Biotechnology Information and Global Initiative on Sharing All Influenza Data repositories, and are proven to be able to separate SARS-CoV-2 from different virus strains with near-perfect accuracy. Next, one of the sequences is selected to generate a primer set, and tested against other state-of-the-art primer sets, obtaining competitive results. Finally, the primer is synthesized and tested on patient samples (n = 6 previously tested positive), delivering a sensitivity similar to routine diagnostic methods, and 100% specificity. The proposed methodology has a substantial added value over existing methods, as it is able to both automatically identify promising primer sets for a virus from a limited amount of data, and deliver effective results in a minimal amount of time. Considering the possibility of future pandemics, these characteristics are invaluable to promptly create specific detection methods for diagnostics.

Performance evaluation of the Panther Fusion® respiratory tract panel.

BACKGROUND: Respiratory tract infections are among the most common infections during winter season. Rapid diagnostics is required for clinical decision making regarding isolation of patients and appropriate therapy. OBJECTIVES: The aim of this study was to evaluate the analytical and clinical performance characteristics of the Panther Fusion® respiratory panel using published laboratory-developed real-time PCR assays (LDT). STUDY DESIGN: Analytical sensitivity of Panther Fusion® Flu A/B/RSV was assessed by testing dilutions of cell culture isolates. Clinical performance assessment included the complete Panther Fusion® respiratory panel (Flu-A/B/RSV, PIV 1-4 and AdV/hMPV/RV) and consisted of a retrospective and a prospective study-arm. The retrospective evaluation included 201, stored (-80 °C) samples collected between February 2006 and January 2017. Prospective evaluation was performed on 1045 unselected pretreated respiratory tract samples from patients presented to our hospital between November 2017 and May 2018. RESULTS: Analytical sensitivity was generally slightly lower for the Panther Fusion® assays. Clinical specificity and sensitivity was between 96 %-100 % and 71.9 %-100 %, respectively. Discrepant results were found in 146 samples of which 88 samples tested LDT positive / Panther Fusion® negative and 58 samples were LDT negative / Panther Fusion® positive. A total of ten discrepant samples with Ct-values <30 were sequenced to confirm the presence of 7 RV-C not-detected by LDT and 1 RV-A and 2 ADV-2 not detected by Panther Fusion®. CONCLUSIONS: The Panther Fusion® provides a random-access system with continuous loading and much shorter sample-to-answer times compared to LDT, albeit with a slightly less clinical sensitivity compared to the LDT.