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Validation of a modified CDC assay and performance comparison with the NeuMoDx™ and DiaSorin® automated assays for rapid detection of SARS-CoV-2 in respiratory specimens.

ABSTRACT: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has spread rapidly around the globe since it was first identified in December of 2019 in Wuhan, China. In a race to contain the infection, researchers and healthcare officials have developed several assays to help diagnose individuals with COVID-19. To help laboratories decide what assay to bring into testing lines, factors such as assay availability, cost, throughput, and TAT should be considered. Here we validated a modified version of the CDC assay and used it as a reference to evaluate the performance of the NeuMoDxTM SARS-CoV-2 and DiaSorin SimplexaTM Covid-19 Direct assays. In silico analysis and clinical sample testing showed that the primers/probes designed by the CDC were specific to the SARS-CoV-2 as they accurately detected all reactive samples with an assay LoD of 200 copies/mL. The performance of the three assays were analyzed using 159 nasopharyngeal swabs specimen tested within 1-5 days after routine testing. A 100 % agreement was observed between the commercial assays and the modified CDC SARS-CoV-2 assay. A deeper look at the Ct values showed no significant difference between NeuMoDx and the modified CDC SARS-CoV-2 assay, whereas DiaSorin had lower overall Ct values than the modified CDC SARS-CoV-2 assay. NeuMoDx and DiaSorin workflows were much easier to perform. NeuMoDx has the highest throughput and shortest TAT, whereas although the modified CDC SARS-CoV-2 assay has comparable throughput to DiaSorin, it has the longest hands-on time and highest TAT.

SUBMITTER: Lima A

PROVIDER: S-EPMC7657030 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Validation of a modified CDC assay and performance comparison with the NeuMoDx™ and DiaSorin® automated assays for rapid detection of SARS-CoV-2 in respiratory specimens.

Lima Amorce A Healer Vicki V Vendrone Elaine E Silbert Suzane S

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 20201111

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has spread rapidly around the globe since it was first identified in December of 2019 in Wuhan, China. In a race to contain the infection, researchers and healthcare officials have developed several assays to help diagnose individuals with COVID-19. To help laboratories decide what assay to bring into testing lines, factors such as assay availability, cost, throughput, and TAT ...[more]

PMID: 33220549

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Project description:The coronavirus infectious disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viruses. The pandemic has emerged as a global public health crisis, and the threat of fast-spreading of the latest variants of the coronavirus (such as omicron, delta) is rampant. Therefore, a fast and reliable diagnostic assay is needed to make the clinical decision for further treatment. The study aims to develop a Centers for Disease and Prevention (CDC)-modified qualitative real-time reverse transcriptase PCR (RT-qPCR) assay and parallel assessment of commercially available RT-qPCR assay (Altona, Seegene, BD, and GBC) to detect SARS-CoV-2. Two hundred nine samples were chosen randomly out of around two hundred thousand samples. The panel consisted of SARS-CoV-2-positive (n = 156) and SARS-CoV-2-negative (n = 52) nasopharyngeal swab specimens for a primary clinical evaluation. Furthermore, 29 positive samples were sequenced using Oxford Nanopore Minion technology. Two hundred nine patient sample data of the cycle threshold (Ct) readings for target genes of five assays are 100% sensitive for Ct values. Mean Ct values for N1, N2, RdRp, S, and E of the positive controls in CDC assay, RealStar®, Allplex, GBC, and SD Biosensor were 17.5 ± 0.49, 16.9 ± 0.51, 20 ± 0.49, 21.7 ± 0.38, and 23.1 ± 0.43, respectively. F test value shows ≥ 1, which was statistically significant. All assays showed an efficiency of < 120% and R squares were < 0.99, which is well above the required threshold value. Thus, when taking the CDC-modified assay as a gold standard, the other four assays demonstrated a p value of 0.0000, concordance at 100%, and a Kappa at 1.000. A maximum-likelihood (ML) tree was constructed and compared based on full-length SARS-CoV-2 with Wuhan isolate. These isolates are closely related to the B.1.617 lineage and reference sequences. Therefore, we conclude that all RT-PCR kits assessed in this study shall be used for routine diagnostics of COVID-19 in patients.Supplementary informationThe online version contains supplementary material available at 10.1007/s00580-022-03356-y.

Project description:BackgroundThe use of SharePoint® collaboration software for content management has become a critical part of today's drug discovery process. SharePoint 2010 software has laid a foundation which enables researchers to collaborate and search on various contents. The amount of data generated during a transition of a single compound from preclinical discovery to commercialization can easily range in terabytes, thus there is a greater demand of a chemically aware search algorithm that supplements SharePoint which enables researchers to query for information in a more intuitive and effective way. Thus by supplementing SharePoint with Chemically Aware™ features provides a great value to the pharmaceutical and biotech companies and makes drug discovery more efficient. Using several tools we have integrated SharePoint with chemical, compound, and reaction databases, thereby improving the traditional search engine capability and enhancing the user experience.ResultsThis paper describes the implementation of a Chemically Aware™ system to supplement SharePoint. A Chemically Aware SharePoint (CASP) allows users to tag documents by drawing a structure and associating it with the related content. It also allows the user to search SharePoint software content and internal/external databases by carrying out substructure, similarity, SMILES, and IUPAC name searches. Building on traditional search, CASP takes SharePoint one step further by providing a intuitive GUI to the researchers to base their search on their knowledge of chemistry than textual search. CASP also provides a way to integrate with other systems, for example a researcher can perform a sub-structure search on pdf documents with embedded molecular entities.ConclusionA Chemically Aware™ system supplementing SharePoint is a step towards making drug discovery process more efficient and also helps researchers to search for information in a more intuitive way. It also helps the researchers to find information which was once difficult to find by allowing one to tag documents with molecular entities and integrating with image recognition software to find information from pdf documents.

Project description:Chlamydia pneumoniae, an important respiratory pathogen, is difficult to culture, and detection rates by conventional PCRs vary considerably. A new quantitative ompA-based real-time PCR assay based on TaqMan technology for detection of C. pneumoniae in respiratory samples is described, and its performance in terms of sensitivity and reproducibility is compared with those of four published conventional PCRs (one single-step PCR targeting a cloned PstI fragment; two nested PCRs, one targeting the 16S rRNA gene followed by hybridization and the other targeting the ompA gene; and a touchdown enzyme time-release [TETR] PCR also targeting the 16S rRNA gene). Both ompA-based PCRs showed the best analytical sensitivity. All five assays could detect even lower target levels from spiked sputum, with the 16S rRNA assays performing better than the ompA-based nested PCR (10(-6) inclusion-forming units [IFU] were detected in four of four and two of four replicates by the 16S rRNA TETR PCR and the 16S rRNA nested PCR, respectively). In general, the ompA-based real-time protocol produced the most consistent positive results for all replicates tested down to 10(-6) IFU. Eight of 45 patient sputum specimens (18%) were C. pneumoniae DNA positive in at least one of four replicates tested by at least one assay. Without taking into consideration the analytical sensitivity or the reproducibility of the test results, the numbers of C. pneumoniae DNA-positive sputum specimens (n = 8) were four, three, two, two, and one for the 16S rRNA TETR assay, the PstI-based single-step PCR, the ompA-based real-time PCR, the ompA-based nested touchdown PCR, and the 16S rRNA-based nested PCR, respectively. However, the overall rate of concordance of positive results was low. Only one cell culture-positive sputum specimen was positive by four of five assays (14 of 16 replicates; mean cycle threshold value, 25; 10(8) particles/ml of sputum). Thirty-seven specimens were C. pneumoniae negative by all five assays for all replicates tested, as were all negative controls (n = 65 to 100 per testing panel). No PCR inhibitors were detected by real-time PCR or by the 16S rRNA-based nested assay. We confirm that the analytical sensitivity of an assay for the detection of C. pneumoniae does not necessarily predict its ability to detect its target in sputum. A quantitative, fast, and easy-to-handle diagnostic approach such as the ompA-based real-time TaqMan PCR described here might improve the detection of C. pneumoniae in respiratory samples.

Dataset Information

Validation of a modified CDC assay and performance comparison with the NeuMoDx™ and DiaSorin® automated assays for rapid detection of SARS-CoV-2 in respiratory specimens.

Publications

Validation of a modified CDC assay and performance comparison with the NeuMoDx™ and DiaSorin® automated assays for rapid detection of SARS-CoV-2 in respiratory specimens.

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