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

Authors :
Fokam J
Gouissi Anguechia DH
Takou D
Jagni Semengue EN
Chenwi C
Beloumou G
Djupsa S
Nka AD
Togna Pabo WLR
Abba A
Ka'e AC
Kengni A
Etame NK
Moko LG
Molimbou E
Nayang Mundo RA
Tommo M
Fainguem N
Fotsing LM
Colagrossi L
Alteri C
Ngono D
Otshudiema JO
Ndongmo C
Boum Y
Etoundi GM
Halle EGE
Eben-Moussi E
Montesano C
Marcelin AG
Colizzi V
Perno CF
Ndjolo A
Ndembi N
Source :
Heliyon [Heliyon] 2024 Apr 06; Vol. 10 (7), pp. e29243. Date of Electronic Publication: 2024 Apr 06 (Print Publication: 2024).
Publication Year :
2024

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 CE in detecting VOCs in Cameroon.<br />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.<br />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).<br />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.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2024 The Authors.)

Details

Language :
English
ISSN :
2405-8440
Volume :
10
Issue :
7
Database :
MEDLINE
Journal :
Heliyon
Publication Type :
Academic Journal
Accession number :
38623229
Full Text :
https://doi.org/10.1016/j.heliyon.2024.e29243