Verification of Three Commercial Quantitative RT-PCR Kits for COVID-19 Using Cycle Threshold Values

Authors

  • Rinjong Kendal Department of Medical Technology, Khon Kaen Hospital
  • Pantitra Sudadet Department of Medical Technology, Khon Kaen Hospital
  • Jindarphorn Suttayamuk Department of Medical Technology, Khon Kaen Hospital
  • Panchanita Tuenkplee Department of Medical Technology, Khon Kaen Hospital

Keywords:

qRT-PCR, Cycle threshold, Cut off, COVID-19

Abstract

Background and Objectives: During the SARS-CoV-2 pandemic, several effective and reliable qRT-PCR kits were accessible worldwide. To increase the capacity of COVID-19 detection the three commercial kits were chosen in our laboratory. Herein, we performed the verification of the three commercial qRT-PCR kits including a fully automation Cobas 6800 system, Allplex SARS-CoV2 Master Assay and Sansure Assay and finding the Ct values for interpretation and reporting. This study utilized the clinical samples and performed under our ISO 15189 certified laboratory.

Methods: Ten positive qRT-PCR for COVID-19 samples were 10-folds serially diluted with viral transport media as undilute, 1:10-1, 1:10-2, 1:10-3, 1:10-4, 1:10-5, and 1:10-6 dilution. Viral nucleic acid was extracted. The qRT-PCR was triplicate performed by using three commercial kits. The performance of the kits were considerated and the Ct values were recorded and calculated.

Results: We found that the performance of a fully automation Cobas 6800 system, Allplex SARS-CoV2

Master Assay and Sansure Assay with the maximum detectable dilution at 1:10-5, 1:10-3 and 1:10-3 respectively. In addition, we found the Ct values for precise interpretation for COVID-19 qRT-PCR testing. The grey zone Ct value of E gene is 36.67, ORF1ab gene is 35.59 and N gene is 36.09 which these values could be considered to repeat for accurate detection.

Conclusions: The result demonstrated that the best performance commercial kit was a fully automation Cobas

6800 system following by Allplex SARS-CoV2 Master Assay was equal to Sansure Assay. The Ct values of target genes (E = 36.67, ORF1ab = 35.59 and N= 36.09) were implemented for the qRT-PCR for COVID-19 guideline in our laboratory.

References

World Health Organization. Pneumonia of unknown cause- China [Internet]. [Cited Jan 5, 2020]. Available from: https:www.who.int/csr/don/05-january-2020.

Naqvi AAT, Fatima K, Mohammad T, Fatima U, Singh IK, Singh A, et al. Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis, and therapies: Structural genomics approach. Biochim Biophys Acta Mol Basis Dis 2020;1866(10):165878. doi.org/10.1016/j.bbadis.2020.165878

Alimohamadi Y, Sepandi M, Taghdir M, Hosamirudsari H. Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis. J Prev Med Hyg 2020;61(3):E304–12. doi.org/10.18502/ijph.v49i7.3574

Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic. Lancet 2020; 395(10228):931–4. doi.org/10.1016/S0140-6736(20)30567-5

Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ, et al. The origin, transmission, and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak an update on the status. Mil Med Res 2020;7(1):11. doi.org/10.1186/s40779-020-00240-0

Alimohamadi Y, Taghdir M, Sepandi M. Estimate of the basic reproduction Number for COVID-19: A Systematic Review and Meta-analysis. J Prev Med Pub Health 020; 53(3):151–7. doi.org/10.3961/jpmph.20.076

Sawicki SG, Sawicki DL, Siddell SG. A Contemporary view of Coronavirus transcription. J Virol 2007;81(1):20–9. doi.org/10.1128/JVI.01358-06

Harvey WT, Carabelli AM, Jackson B, Gupta RK, Thomson EC, Harrison EM, et al. SARS-CoV-2 variants, spike mutations and immune escape. Nat Rev Microbiol 2021;19(7):409–24. doi.org/10.1038/s41579-021-00573-0

Centers for Diseases Control and Prevention. SARS-CoV-2 Variant classifications and definitions [Internet]. [cited Jan 6, 2020]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-classifications.html

Department of Disease Control,Ministry of Public Health, Thailand. Guidelines for Surveillance and Investigation of Coronavirus Disease 2019 (COVID-19) [Internet]. [cited Jan 22, 2022]. Available from: https://ddc.moph.go.th/viralpneumonia/eng/file/guidelines/g_GSI_22Dec21.pdf

Chung YS, Lee NJ, Woo SH, Kim JM, Kim HM, Jo HJ, et al. Validation of real-time RT-PCR for detection of SARS-CoV-2 in the early stages of the COVID-19 outbreak in the Republic Korea Sci Rep 2021;11(1):14817. doi.org/10.1038/s41598-021-94196-3

van Kasteren PB, van der Veer B, van den Brink S, Wijsman L, de Jonge J, van den Brandt A, et al. Comparison of seven commercial RT-PCR diagnostic kits for COVID-19. J Clin Virol 2020;128:104412. doi.org/10.1016/j.jcv.2020.104412

Banko A, Petrovic G, Miljanovic D, Loncar A, Vukcevic M, Despot D, et al. Comparison and sensitivity evaluation of three different commercial real-time quantitative PCR Kits for SARS-CoV-2 Detection. Viruses 2021;13(7):1321. doi.org/10.3390/v13071321

Freire-Paspuel B, Garcia-Bereguiain MA. Clinical performance and analytical sensitivity of three SARS-CoV-2 nucleic acid diagnostic tests. Am J Trop Med Hyg 2021;104(4):1516–8. doi.org/10.4269/ajtmh.20-1484

Grewal S, Syed Gurcoo M, Sudhan Sharma S. Comparative analysis of specificity and sensitivity between Cobas 6800 system and SARS-CoV-2 rRT-PCR to detect COVID-19 infection in clinical samples. Arch Microbiol 2022;204(8):502. doi.org/10.1007/s00203-022-03118-y

Benoit P, Labbé A, Lalancette L, Gagnon S, Bonneau E, Lavallée C, et al. Comparison of SARS‐CoV‐2 detection with the Cobas 6800/8800 system on gargle samples using two sample processing methods with combined oropharyngeal/nasopharyngeal swab. J Med Virol 2021;93(12):6837–40. doi.org/10.1002/jmv.27245

Wirden M, Feghoul L, Bertine M, Nere ML, Le Hingrat Q, Abdi B, et al. Multicenter comparison of the Cobas 6800 system with the RealStar RT-PCR kit for the detection of SARS-CoV-2. J Clin Virol 2020;130:104573. doi.org/10.1016/j.jcv.2020.104573

Rabaan AA, Tirupathi R, Sule AA, Aldali J, Mutair AA, Alhumaid S, et al. Viral dynamics, and real-time RT-PCR Ct values correlation with disease severity in COVID-19. Diagnostics 2021;11(6):1091. doi.org/10.3390/diagnostics11061091

Feikin DR, Alraddadi B, Qutub M, Shabouni O, Curns A, Oboho IK, et al. Association of higher MERS-CoV Virus load with severe disease and death, Saudi Arabia, 2014. Emerg Infect Dis 2015;21(11):2029-35. doi.org/10.3201/eid2111.150764

Yang Y, Yang M, Yuan J, Wang F, Wang Z, Li J, et al. Laboratory diagnosis and monitoring the viral shedding of SARS-CoV-2 infection. The Innovation 2020;1(3):100061. doi.org/10.1016/j.xinn.2020.100061

Nakatsu Y, Seno Y, Kushiyama A, Sakoda H, Fujishiro M, Katasako A, et al. The xanthine oxidase inhibitor febuxostat suppresses development of nonalcoholic steatohepatitis in a rodent model. Am J Physiol-Gastrointest Liver Physiol 2015;309(1):G42–51. doi.org/10.1152/ajpgi.00443.2014

Vandenberg O, Martiny D, Rochas O, van Belkum A, Kozlakidis Z. Considerations for diagnostic COVID-19 tests. Nat Rev Microbiol 2021;19(3):171–83. doi.org/10.1038/s41579-020-00461-z

Kostakoglu U, Kant A, Atalar S, Ertunç B, Erensoy s, Dalmanoglu E, et al. Diagnostic value of chest CT and initial real-time RT-PCR in COVID-19 infection. Pak J Med Sci 2021;37(1):-234-8. doi.org/10.12669/pjms.37.1.2956

Böhmer MM, Buchholz U, Corman VM, Hoch M, Katz K, Marosevic DV, et al. Investigation of a COVID-19 outbreak in Germany resulting from a single travel-associated primary case: a case series. Lancet Infect Dis 2020;20(8):920–8. doi.org/10.1016/S1473-3099(20)30314-5

Liu Y, Yan LM, Wan L, Xiang TX, Le A, Liu JM, et al. Viral dynamics in mild and severe cases of COVID-19. Lancet Infect Dis 2020;20(6):656–7. doi.org/10.1016/S1473-3099(20)30232-2

Shi F, Wu T, Zhu X, Ge Y, Zeng X, Chi Y, et al. Association of viral load with serum biomakers among COVID-19 cases. Virology 2020;546:122–6. doi.org/10.1016/j.virol.2020.04.011

Zacharioudakis IM, Zervou FN, Prasad PJ, Shao Y, Basu A, Inglima K, et al. Association of SARS-CoV-2 genomic load trends with clinical status in COVID-19: A retrospective analysis from an academic hospital center in New York City. PloS One 2020;15(11): e0242399. doi.org/10.1371/journal.pone.0242399

Downloads

Published

2023-06-20

How to Cite

1.
Kendal R, Sudadet P, Suttayamuk J, Tuenkplee P. Verification of Three Commercial Quantitative RT-PCR Kits for COVID-19 Using Cycle Threshold Values. SRIMEDJ [Internet]. 2023 Jun. 20 [cited 2024 May 11];38(3):269-77. Available from: https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/257764

Issue

Section

Original Articles