Rapid identification of SARS-CoV-2 variants: Validation of the simplexa SARS-CoV-2 variant direct assay

被引:0
|
作者
Eptaminitaki, Giasemi C. [1 ]
Parakatselaki, Maria-Eleni [1 ]
Petroulaki, Chara [1 ]
Marinopoulou, Dimitra [1 ]
Pitsikaki, Anthi [1 ]
Tseliou, Melpomeni [1 ]
Zafiropoulos, Alexandros [1 ]
Sourvinos, George [1 ]
机构
[1] Univ Crete, Med Sch, Lab Clin Virol, Iraklion 71003, Crete, Greece
关键词
SARS-CoV-2; Melting analysis; Variant identification; Simplexa & REG; SARS-CoV-2 Variants Direct assay;
D O I
10.1016/j.jviromet.2023.114759
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The circulation of certain SARS-CoV-2 variants may have a great impact on the epidemiological status of a geographical area; therefore, it is important that their presence is monitored. Currently, the gold standard method used to identify newly emerged variants is sequencing of either genes or whole genomes. However, since this method is relatively expensive and has a long turnaround time, other rapid strategies should also be employed. The current study aimed to evaluate the performance of the Simplexa (R) SARS-CoV-2 Variants Direct assay, which is a RT-PCR that determines the variant present in a nasopharyngeal swab sample in approximately two hours. Totally, 527 positive samples for SARS-CoV-2 were analyzed from January until December 2022 and next-generation sequencing (NGS) was used as the reference method. The assay showed high sensitivity, ranging from 94.12 % to 100 %, depending on the variant. The assay also showed high specificity, reaching 100 % for Delta and BA.1 variants, and 99.74 % and 98.67 % for BA.2 and BA.4/BA.5 variants, respectively. Moreover, the assay was able to identify the correct variant category in the presence of any subvariant in the sample. We conclude that the assay can be used to facilitate faster monitoring of circulating SARS-CoV-2 variants, however sequencing cannot be completely replaced, since new variants always emerge, and constant updates are needed, so that the user is able to interpret the melting curve patterns.
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页数:5
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