Evaluation of RT-PCR assays for detection of SARS-CoV-2 variants of concern.
Sourav Dutta Dip, Shovon Lal Sarkar, Md Ali Ahasan Setu, Prosanto Kumar Das, Md Hasan Ali Pramanik, A S M Rubayet Ul Alam, Hassan M Al-Emran, M Anwar Hossain, Iqbal Kabir Jahid
Author Information
Sourav Dutta Dip: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Shovon Lal Sarkar: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Ali Ahasan Setu: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Prosanto Kumar Das: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Hasan Ali Pramanik: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
A S M Rubayet Ul Alam: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Hassan M Al-Emran: Department of Biomedical Engineering, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
M Anwar Hossain: Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
Iqbal Kabir Jahid: Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh. ikjahid_mb@just.edu.bd.
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) pandemic has been considered with great importance on correct screening procedure. The detection efficiency of recent variants of concern were observed by comparing 5 commercial RT-PCR kits and a SYBR-green method developed and validated in our laboratory. The RNA was extracted from nasopharyngeal samples from suspected COVID-19 patients and RT-PCR assay was performed according to the instruction of the respective manufacturers. The specificity and sensitivity of Maccura kit was 81.8% and 82.5%, A*Star kit was 100% and 75.4%, Da An Gene kit was 100% and 68.4%, Sansure kit was 54.5% and 91.2% and TaqPath kit was 100% and 70.2% respectively. Our in house SYBR-Green method showed a consistent detection result with 90.9% specificity and 91.2% sensitivity. We also found that detection kits targeting more genes showed better accuracy which facilitates less false positive results (< 20%). Our study found a significant difference (p < 0.005) in Ct value reported for common target genes shared by the RT-PCR kits in relation with different variants of COVID-19 infection. Recent variants of concerns contain more than 30 mutations in the spike proteins including 2 deletion and a unique insertion mutation by which makes detection of these variants difficult and these facilitates the variants to escape from being detected.
References
Wu, F. et al. A new coronavirus associated with human respiratory disease in China. Nature 579, 265–269 (2020).
[DOI: 10.1038/s41586-020-2008-3]
Teymouri, M. et al. Recent advances and challenges of RT-PCR tests for the diagnosis of COVID-19. Pathol. Res. Pract. 221, 153443 (2021).
[DOI: 10.1016/j.prp.2021.153443]
La Rosa, G. et al. Rapid screening for SARS-CoV-2 variants of concern in clinical and environmental samples using nested RT-PCR assays targeting key mutations of the spike protein. Water Res. 197, 117104 (2021).
[DOI: 10.1016/j.watres.2021.117104]
Who Audio. https://www.who.int/docs/default-source/coronaviruse/transcripts/who-audio-emergencies-coronavirus-press-conference-full-and-final-11mar2020.pdf .
WHO Coronavirus (COVID-19) Dashboard | WHO Coronavirus (COVID-19) Dashboard With Vaccination Data. https://covid19.who.int/ .
Mousavizadeh, L. & Ghasemi, S. Genotype and phenotype of COVID-19: Their roles in pathogenesis https://doi.org/10.1016/j.jmii.2020.03.022 (2020).
Altamimi, A. M. et al. Assessment of 12 qualitative RT-PCR commercial kits for the detection of SARS-CoV-2. J. Med. Virol. 93, 3219–3226 (2021).
[DOI: 10.1002/jmv.26900]
Hong, K. H. et al. Guidelines for laboratory diagnosis of coronavirus disease 2019 (COVID-19) in Korea. Ann. Lab. Med. 40, 351–360 (2020).
[DOI: 10.3343/alm.2020.40.5.351]
Corman, V. M. et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Eurosurveillance 25, 2000045 (2020).
[DOI: 10.2807/1560-7917.ES.2020.25.3.2000045]
Zhou, Y. et al. Sensitivity evaluation of 2019 novel coronavirus (SARS-CoV-2) RT-PCR detection kits and strategy to reduce false negative. PLoS ONE 15, 1–12 (2020).
[DOI: 10.1371/journal.pone.0241469]
Lu, Y. et al. Comparison of the diagnostic efficacy between two PCR test kits for SARS-CoV-2 nucleic acid detection. J. Clin. Lab. Anal. 34, e23554 (2020).
[DOI: 10.1002/jcla.23554]
SARS-CoV-2 sequences by variant, Nov 7, 2022. https://ourworldindata.org/grapher/covid-variants-bar?country=USA~GBR~ESP~ZAF~ITA~DEU~FRA~CAN~BEL~AUS .
CoVariants: Per Country. https://covariants.org/per-country .
Islam, O. K. et al. Emergence of European and North American mutant variants of SARS-CoV-2 in South-East Asia. Transbound. Emerg. Dis. 68, 824–832 (2021).
[DOI: 10.1111/tbed.13748]
Venkatakrishnan, A. J. et al. On the origins of omicron’s unique spike gene insertion. Vaccines 10, 1509 (2022).
[DOI: 10.3390/vaccines10091509]
Hasan, M. S. et al. Initial reports of the SARS-CoV-2 Delta variant (B.1.617.2 lineage) in Bangladeshi patients: Risks of cross-border transmission from India. Health Sci. Rep. 4, e366 (2021).
[DOI: 10.1002/hsr2.366]
Alam, A. S. M. R. U. et al. Dominant clade-featured SARS-CoV-2 co-occurring mutations reveal plausible epistasis: An in silico based hypothetical model. J. Med. Virol. 94, 1035–1049 (2022).
[DOI: 10.1002/jmv.27416]
CDC. Genetic variants of SARS-CoV-2 may lead to false negative results with molecular tests for detection of SARS-CoV-2—letter to clinical laboratory staff and health care providers|FDA. 1–5 (CDC, 2021).
Hasan, M. R. et al. Real-time SARS-CoV-2 genotyping by high-throughput multiplex PCR reveals the epidemiology of the variants of concern in Qatar. Int. J. Infect. Dis. 112, 52–54 (2021).
[DOI: 10.1016/j.ijid.2021.09.006]
Subramoney, K. et al. Identification of SARS-CoV-2 Omicron variant using spike gene target failure and genotyping assays, Gauteng, South Africa, 2021. J. Med. Virol. 94, 3676–3684 (2022).
[DOI: 10.1002/jmv.27797]
Ou, J. et al. Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events. Signal Transduct. Target. Ther. 7, 1–9 (2022).
Artik, Y. et al. Comparison of COVID-19 laboratory diagnosis by commercial kits: Effectivity of RT-PCR to the RT-LAMP. J. Med. Virol. 94, 1998–2007 (2022).
[DOI: 10.1002/jmv.27559]
Al-Emran, H. M. et al. Genomic analysis of SARS-CoV-2 variants of concern identified from the ChAdOx1 nCoV-19 immunized patients from Southwest part of Bangladesh. J. Infect. Public Health 15, 156–163 (2022).
[DOI: 10.1016/j.jiph.2021.12.002]
Al-Emran, H. M. et al. Microbiome analysis revealing microbial interactions and secondary bacterial infections in COVID-19 patients comorbidly affected by type 2 diabetes. J. Med. Virol. https://doi.org/10.1002/JMV.28234 (2022).
[DOI: 10.1002/JMV.28234]
Sarkar, S. L. et al. Development and validation of cost-effective one-step multiplex RT-PCR assay for detecting the SARS-CoV-2 infection using SYBR Green melting curve analysis. Sci. Rep. 12, 6501 (2022).
[DOI: 10.1038/s41598-022-10413-7]
Islam, M. T. et al. A rapid and cost-effective multiplex ARMS-PCR method for the simultaneous genotyping of the circulating SARS-CoV-2 phylogenetic clades. J. Med. Virol. 93, 2962–2970 (2021).
[DOI: 10.1002/jmv.26818]
Trevethan, R. Sensitivity, specificity, and predictive values: Foundations, pliabilities, and pitfalls in research and practice. Front. Public Health 5, 1–7 (2017).
[DOI: 10.3389/fpubh.2017.00307]