6
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Analytical Sensitivity of Lateral Flow Devices against SARS-CoV-2 Omicron Subvariants BA.4, BA.5, and BA.2.75

      letter

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          LETTER Rapid antigen testing has played a pivotal role in the COVID-19 pandemic, enabling quick identification of individuals with SARS-CoV-2 infection, and rapid institution of clinical and public health measures. In many settings, including Australia, rapid antigen testing is now the main modality of testing, with only one-third of SARS-CoV-2 infections now diagnosed using PCR assays (1). The ongoing emergence of new SARS-CoV-2 variants requires constant vigilance in diagnostic assay performance, including assessments of the analytical and clinical sensitivity of rapid antigen tests. Although amino acid changes in the SARS-CoV-2 spike protein are the characteristic feature of SARS-CoV-2 variants, mutations in the nucleocapsid protein (the diagnostic target of most antigen tests) can occur (1). To date, however, the performance of most antigen tests has been assessed against previously circulating variants, including the Delta and Omicron B.1.1.529 lineages (2, 3). Accordingly, we undertook a rapid assessment of the analytical sensitivity of six antigen tests, commonly used in our setting, against the Omicron sublineages BA.4, BA.5, and BA.2.75. Representative Delta, BA.4, BA.5, and BA.2.75 isolates were obtained from clinical samples referred to the Victorian Infectious Diseases Reference Laboratory (VIDRL) in Melbourne, Australia. We included a Delta isolate to enable comparison with our previous analytical assessments of antigen kit performance (3, 4). SARS-CoV-2 genomic sequencing of virus isolates was performed following cell culture using the Oxford Nanopore Rapid Barcoding (SQK-RBK110.96) and Midnight RT PCR Expansion (MRT001; both Nanopore technologies) kits. SARS-CoV-2 consensus sequences were generated using the ARTIC Sequencing report generated by the inbuilt Nextflow wf-artic supplied by Oxford Nanopore on their GridION instrument. Lineage designation was assigned using both Nextclade and Pangolin v3.1.16. Isolates were grown as previously described (3) and harvested when cytopathic effect (CPE) was observed. For each variant, we constructed a 10-fold dilution range of quantified virus spanning ~2 × 108 to 2 × 105 copies/mL, corresponding to N gene cycle threshold (Ct) values of ~19 to ~29 on an in-house real-time RT-PCR assay (5), and using droplet digital PCR (ddPCR) (3). Testing was performed in quadruplicate using live virus at Biosafety Level 3, and limit of detection (LOD) was defined as the last dilution where all four replicates were positive. Additional testing was performed on three of the kits most commonly used for testing in our setting. Twenty BA.5 and five BA.4 clinical isolates were selected with Ct values 20.1 to 29.0. BA.5 was selected as this is the current dominant variant in Victoria. Sample volumes applied to the test cassette and incubation time were followed as per manufacturer’s instructions. Results interpretation was performed by two readers as previously described (3). A third reader was used to resolve discordant results. The analytical sensitivity of all kits was similar for Delta, BA.4, BA.5, and BA.2.75 (Fig. 1). All kits detected Delta, BA.4, BA.5, and BA.2.75 at 6 log10 copies/mL (Ct 25), and only three kits were able to detect all of the four variants at 5 log10 copies/mL (Ct 29) (Fig. 1). Overall clinical test sensitivity was 76% (95% CI 56.2 to 88.8), 88% (95% CI 69.2 to 96.7), and 92% (95% CI 73.9 to 98.9) for Panbio, Testsealabs, and Lyher kits, respectively (Table S1 in the supplemental material), with none of the kits detecting BA.5 above Ct 27.3 (Fig. S1). All kits detected each BA.4 clinical isolate. FIG 1 Analytical sensitivities of 6 lateral-flow rapid antigen tests against SARS-CoV-2 Delta and Omicron BA.4, BA.5, and BA.2.75 variants. Antigen kits were tested against 10-fold dilutions (1:10 to 1:10,000) of each variant in quadruplicate. Negative-control samples (Neg) were also tested. Blue boxes signify a positive detection of SARS-CoV-2 antigen in a single replicate, and orange indicates a negative result. Mean cycle threshold values (Ct) for each variant were calculated from triplicate real-time RT-PCR assays targeting the SARS-CoV-2 nucleocapsid (N) gene, with viral RNA copies/mL quantified by droplet digital PCR assays for the envelope (E) gene. The registered names and manufacturers for the antigen tests were as follows: (i) LYHER novel coronavirus (COVID-19) antigen test kit (colloidal gold) Self-Test, Hangzhou Laihe Biotech Co. Ltd. (China); (ii) Testsealabs COVID-19 Antigen Test Cassette, Hangzhou Testsea Biotechnology Co. Ltd. (China); (iii) Panbio COVID-19 Ag rapid test device (nasal), Abbott Rapid Diagnostics Jena GmbH (Germany); (iv) Rapid SARS-CoV-2 Antigen Test Card, MP Biomedicals Asia Pacific Pty Ltd. (Singapore); (v) InnoScreen COVID-19 antigen rapid test device, Innovation Scientific Pty. Ltd. (Australia); and (vi) Roche SARS-CoV-2/Influenza A and Influenza B rapid antigen test, SD Biosensor Inc. (Republic of Korea). Although our data provide information on the in vitro ability of antigen tests to detect BA.4, BA.5, and BA.2.75 sublineages at viral burdens similar to those of clinical infections, our results do not directly extrapolate to direct clinical performance. Mean viral burden for clinical SARS-CoV-2 infections can vary between 2 to 8 log10 copies/mL depending on specimen type and symptom severity (6 – 8) and is likely to be impacted by variant and vaccination status. Further, real-world performance of these tests is impacted by many factors, including adequacy of sample collection, viral replication, viral shedding, and tissue tropism. Further clinical monitoring is essential to ensure ongoing adequacy of rapid antigen tests in the face of new variants.

          Related collections

          Most cited references7

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          SARS-CoV-2 viral load is associated with increased disease severity and mortality

          The relationship between SARS-CoV-2 viral load and risk of disease progression remains largely undefined in coronavirus disease 2019 (COVID-19). Here, we quantify SARS-CoV-2 viral load from participants with a diverse range of COVID-19 disease severity, including those requiring hospitalization, outpatients with mild disease, and individuals with resolved infection. We detected SARS-CoV-2 plasma RNA in 27% of hospitalized participants, and 13% of outpatients diagnosed with COVID-19. Amongst the participants hospitalized with COVID-19, we report that a higher prevalence of detectable SARS-CoV-2 plasma viral load is associated with worse respiratory disease severity, lower absolute lymphocyte counts, and increased markers of inflammation, including C-reactive protein and IL-6. SARS-CoV-2 viral loads, especially plasma viremia, are associated with increased risk of mortality. Our data show that SARS-CoV-2 viral loads may aid in the risk stratification of patients with COVID-19, and therefore its role in disease pathogenesis should be further explored.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Isolation and rapid sharing of the 2019 novel coronavirus ( SARS ‐CoV‐2) from the first patient diagnosed with COVID ‐19 in Australia

            Abstract Objectives To describe the first isolation and sequencing of SARS‐CoV‐2 in Australia and rapid sharing of the isolate. Setting SARS‐CoV‐2 was isolated from a 58‐year‐old man from Wuhan, China who arrived in Melbourne on 19 January 2020 and was admitted to the Monash Medical Centre, Melbourne from the emergency department on 24 January 2020 with fever, cough, and progressive dyspnoea. Major outcomes Clinical course and laboratory features of the first reported case of COVID‐19 (the illness caused by SARS‐CoV‐2) in Australia; isolation, whole genome sequencing, imaging, and rapid sharing of virus from the patient. Results A nasopharyngeal swab and sputum collected when the patient presented to hospital were each positive for SARS‐CoV‐2 (reverse transcription polymerase chain reaction). Inoculation of Vero/hSLAM cells with material from the nasopharyngeal swab led to the isolation of SARS‐CoV‐2 virus in culture. Electron microscopy of the supernatant confirmed the presence of virus particles with morphology characteristic of viruses of the family Coronaviridae. Whole genome sequencing of the viral isolate and phylogenetic analysis indicated the isolate exhibited greater than 99.99% sequence identity with other publicly available SARS‐CoV‐2 genomes. Within 24 hours of isolation, the first Australian SARS‐CoV‐2 isolate was shared with local and overseas reference laboratories and major North American and European culture collections. Conclusions The ability to rapidly identify, propagate, and internationally share our SARS‐CoV‐2 isolate is an important step in collaborative scientific efforts to deal effectively with this international public health emergency by developing better diagnostic procedures, vaccine candidates, and antiviral agents.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness

              Repeated emergence of SARS-CoV-2 variants with increased fitness underscores the value of rapid detection and characterization of new lineages. We have developed PyR0, a hierarchical Bayesian multinomial logistic regression model that infers relative prevalence of all viral lineages across geographic regions, detects lineages increasing in prevalence, and identifies mutations relevant to fitness. Applying PyR0 to all publicly available SARS-CoV-2 genomes, we identify numerous substitutions that increase fitness, including previously identified spike mutations and many non-spike mutations within the nucleocapsid and nonstructural proteins. PyR0 forecasts growth of new lineages from their mutational profile, ranks the fitness of lineages as new sequences become available, and prioritizes mutations of biological and public health concern for functional characterization.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                J Clin Microbiol
                J Clin Microbiol
                JCM
                Journal of Clinical Microbiology
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                0095-1137
                1098-660X
                31 October 2022
                November 2022
                31 October 2022
                : 60
                : 11
                : e01097-22
                Affiliations
                [a ] Victorian Infectious Diseases Reference Laboratorygrid.433799.3, , Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
                [b ] Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Victoria, Australia
                Cepheid
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-1825-5629
                https://orcid.org/0000-0001-7363-6665
                Article
                01097-22 jcm.01097-22
                10.1128/jcm.01097-22
                9667757
                36314806
                c6fd22c8-4e09-4bf6-8cb5-412966d9b6eb
                Copyright © 2022 Mackenzie et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                Page count
                Figures: 1, Tables: 0, Equations: 0, References: 8, Pages: 3, Words: 1458
                Funding
                Funded by: Department of Health | National Health and Medical Research Council (NHMRC), FundRef https://doi.org/10.13039/501100000925;
                Award ID: APP1174555
                Award Recipient :
                Funded by: Department of Health | National Health and Medical Research Council (NHMRC), FundRef https://doi.org/10.13039/501100000925;
                Award ID: APP2002317
                Award Recipient :
                Categories
                Letter to the Editor
                epidemiology, Epidemiology
                Custom metadata
                November 2022

                Microbiology & Virology
                antigen tests,covid-19,sars-cov-2
                Microbiology & Virology
                antigen tests, covid-19, sars-cov-2

                Comments

                Comment on this article