| Literature DB >> 35208761 |
Vanessa De Pace1, Bianca Bruzzone1, Andrea Orsi2, Valentina Ricucci1, Alexander Domnich1, Giulia Guarona2, Nadia Randazzo1, Federica Stefanelli1, Enrico Battolla3, Pier Andrea Dusi4, Flavia Lillo5, Giancarlo Icardi2.
Abstract
The rapid and presumptive detection of SARS-CoV-2 variants may be performed using multiplex RT-PCR assays. The aim of this study was to evaluate the diagnostic performance of five qualitative RT-PCR tests as compared with next-generation sequencing (NGS). We retrospectively examined a multi-variant panel (n = 72) of SARS-CoV-2-positive nasopharyngeal swabs categorized as variants of concern (Alpha, Beta, Gamma and Delta), variants under monitoring (Iota and Kappa) and wild-type strains circulating in Liguria (Italy) from January to August 2021. First, NGS libraries of study samples were prepared and mapped to the reference genome. Then, specimens were screened for the detection of L452R, W152C, K417T, K417N, E484Q, E484K and N501Y mutations using the SARS-CoV-2 Variants II Assay Allplex, UltraGene Assay SARS-CoV-2 452R & 484K & 484Q Mutations V1, COVID-19 Ultra Variant Catcher, SARS-CoV-2 Extended ELITe MGB and Simplexa SARS-CoV-2 Variants Direct. The overall accuracy of these assays ranged from 96.9% to 100%. Specificity and sensitivity were 100% and 96-100%, respectively. We highly recommend the use of these assays as second-level tests in the routine workflow of SARS-CoV-2 laboratory diagnostics, as they are accurate, user friendly, low cost, may identify specific mutations in about 2-3 h and, therefore, optimize the surveillance of SARS-CoV-2 variants.Entities:
Keywords: diagnostics; pandemic; surveillance
Year: 2022 PMID: 35208761 PMCID: PMC8876857 DOI: 10.3390/microorganisms10020306
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Figure 1Mapping of L452R, W152C, K417T, K417N, E484Q, E484K and N501Y mutations in the genome sequence of SARS-CoV-2 [11].
Spike protein mutations identifiable by the SARS-CoV-2 variant assays used.
| SARS-CoV-2 Variants Assays | Mutation |
|---|---|
| SARS-CoV-2 Variants II Assay | L452R, W152C, K417T, K417N |
| UltraGene Assay SARS-CoV-2 452R & 484K & 484Q Mutations V1 | L452R, E484K, E484Q |
| COVID-19 Ultra Variant Catcher kit | L452R, E484K, E484Q, N501Y |
| SARS-CoV-2 Extended ELITe MGB Kit | L452R, E484K, E484Q, N501Y |
| Simplexa SARS-CoV-2 Variants Direct | N501Y, E484K, E484Q, L452 |
Demographic and clinical characteristics of the study patients (N = 72).
| Male, N (%) | 36 (50%) |
| Age (yr), median (IQR) | 36 (23–55) |
| Comorbidities, N (%) | 48 (66.6%) |
| Diabetes | 12 (25%) |
| Cardiovascular disease | 9 (19%) |
| Origin of case, N (%) | |
| Screening | 8 (11%) |
| Contact tracing | 10 (14%) |
| Symptomatic patients | 54 (75%) |
| COVID-19-related symptoms, N (%) | |
| None | 15 (21%) |
| Mild | 45 (62.5%) |
| Moderate | 8 (11%) |
| Severe | 4 (5.5%) |
| SARS-CoV-2 shedding duration (days), mean (SD) | 17 ± 8 days |
| Vaccinated patients, N (%) | 9 (12.5%) |
Retrospective comparison of real-time RT-PCR SARS-CoV-2 variant assays and genome sequencing.
| SARS-CoV-2 Variant Assays | Sensitivity | Specificity | Positive Predictive Values (PPVs) | Negative Predictive Values (NPVs) | Accuracy | Cohen’s k |
|---|---|---|---|---|---|---|
| SARS-CoV-2 | 100% (94.1–100%) | 100% (74.1–100%) | 100% (94.1–100%) | 100% (74.1–100%) | 100% (95–100%) | 1 (0.77–1) |
| UltraGene Assay SARS-CoV-2 452R & 484K & 484Q Mutations V1 | 96.7% (88.9–99.1%) | 100% (74.1–100%) | 100% (93.9–100%) | 84.6% (57.7–95.6%) | 97.2% (90.5–99.2) | 0.90 (0.67–1) |
| COVID-19 Ultra Variant Catcher kit | 100% (94.1–100%) | 100% (74.1–100%) | 100% (94.1–100%) | 100% (74.1–100%) | 100% (95–100%) | 1 (0.77–1) |
| SARS-CoV-2 Extended | 100% (94–100%) | 100% (74.1–100%) | 100% (94–100%) | 100% (74.1–100%) | 100% (94.9–100%) | 1 (0.76–1) |
| Simplexa SARS-CoV-2 | 96.3% (87.6–99%) | 100% (74.1–100%) | 100% (93.2–100%) | 84.6% (57.7–95.6%) | 96.9% (89.6–99.1%) | 0.89 (0.65–1) |
Data were analyzed using Open Source Epidemiologic Statistics for Public Health (OpenEpi, https://www.openepi.com/ accessed on 15 November 2021) and reported as estimate (95% CI).
Figure 2Workflow of SARS-CoV-2 diagnosis in the era of variants of concern (VOCs) and variants under monitoring (VUMs).