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SARS-CoV-2 genomic surveillance and reliability of PCR single point mutation assay () for the rapid detection of variants of concern in Cameroon. | LitMetric

AI Article Synopsis

  • Surveillance of SARS-CoV-2 variants is essential for public health decisions, with a study focusing on their dynamics in Cameroon from April 2020 to August 2022.
  • The research involved analyzing SARS-CoV-2 positive samples using Sanger sequencing and SNPsig® SARS-CoV-2 EscapePLEX to evaluate their effectiveness in detecting variants.
  • Results showed a shift in dominant variants across different waves, with significant prevalence of the Omicron variant in the latest wave, indicating that SNPsig® is a reliable tool for variant detection, although improvements are needed for identifying Omicron sub-lineages.

Article Abstract

Background: Surveillance of SARS-CoV-2 variants of concern (VOCs) and lineages is crucial for decision-making. Our objective was to study the SARS-CoV-2 clade dynamics across epidemiological waves and evaluate the reliability of SNPsig® SARS-CoV-2 EscapePLEX in detecting VOCs in Cameroon.

Material And Methods: A laboratory-based study was conducted on SARS-CoV-2 positive nasopharyngeal specimens cycle threshold (Ct)≤30 at the Chantal BIYA International Reference Centre in Yaoundé-Cameroon, between April-2020 to August-2022. Samples were analyzed in parallel with Sanger sequencing and (SNPsig® SARS-CoV-2 EscapePLEX CE, and performance characteristics were evaluated by Cohen's coefficient and McNemar test.

Results: Of the 130 sequences generated, SARS-CoV-2 clades during wave-1 (April-November 2020) showed 97 % (30/31) wild-type lineages and 3 % (1/31) Gamma-variant; wave-2 (December-2020 to May-2021), 25 % (4/16) Alpha-variant, 25 % (4/16) Beta-variant, 44 % (7/16) wild-type and 6 % (1/16) mu; wave-3 (June-October 2021), 94 % (27/29) Delta-variant, 3 % (1/29) Alpha-variant, 3 % (1/29) wild-type; wave-4 (November-2021 to August-2022), 98 % (53/54) Omicron-variant and 2 % (1/54) Delta-variant. Omicron sub-variants were BA.1 (47 %), BA.5 (34 %), BA.2 (13 %) and BA.4 (6 %). Globally, the two genotyping methods accurately identified the SARS-CoV-2 VOCs (P = 0.17, McNemar test; Ka = 0.67).

Conclusion: Genomic surveillance reveals a rapid dynamic in SARS-CoV-2 strains between epidemiological waves in Cameroon. For wide-spread variant surveillance in resource-limited settings, SNPsig® SARS-CoV-2 EscapePLEX CEkit represents a suitable tool, pending upgrading for distinguishing Omicron sub-lineages.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11016732PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e29243DOI Listing

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