Cloruro de Tetrametilamonio y Dimetilsulfóxido mejoran la detección de SARS-CoV-2 en muestras de saliva individuales/agrupadas con RT-qPCR
HTML (English)
PDF (English)

Palabras clave

SARS-CoV-2
Muestras de Saliva
RT-qPCR múltiples
Solución Coadyuvante
Estructura Secundaria del ARN

Cómo citar

Vera Cala, L. M., Navarro-Baron, N. A., Cangrejo-Useda, Y. S., Pardo-Díaz, L. A., Cadena-Caballero, C. E., Barrios Hernandez, C. J., & Martinez-Perez, F. (2025). Cloruro de Tetrametilamonio y Dimetilsulfóxido mejoran la detección de SARS-CoV-2 en muestras de saliva individuales/agrupadas con RT-qPCR . Salud UIS, 57. https://doi.org/10.18273/saluduis.57.e:25v57a33

Resumen

Introducción: El desempeño de la RT-qPCR para detectar SARS-CoV-2 varía porque los SNP en los sitios de cebadores/sondas y las estructuras secundarias del ARN (en particular, los bucles de tallo en las UTR 5′/3′) pueden obstaculizar la hibridación y la elongación de la polimerasa, alterando el Ct y la fluorescencia. Una solución desnaturalizante (DS; compuesta por cloruro de tetrametilamonio y dimetilsulfóxido) puede alterar estas estructuras y mejorar la detección. Objetivo: Evaluar el efecto de la SD en la eficiencia de la RT-qPCR para la detección de SARS-CoV-2 en muestras de saliva individuales o agrupadas de pacientes diagnosticados con COVID-19. Metodología: Se determinó in silico el patrón de hibridación entre los cebadores y sondas autorizados por el CDC (Centers for Disease Control and Prevention) respecto a la región consenso del gen N de SARS-CoV-2, además de generar su estructura secundaria para definir las posiciones variables. La validación de las RT-qPCR individuales y agrupadas con la SD se realizó con ARN total en 20 de 40 muestras de saliva positivas a SARS-CoV-2. Resultados: La región consenso del gen N1 de las variantes de SARS-CoV-2: Alfa, Beta, Delta, Gamma, GH490R, Lambda, Mu y Ómicron del año 2021, presentó más variaciones respecto a la región N2, no obstante, se localizaron dentro de las burbujas adyacentes a un tallo y en la región espaciadora. Las RT-qPCR individuales para las regiones N1 y N2 con SD no mostraron Cts estadísticamente significativos, sin embargo, estos disminuyeron, con una diferencia notable en la señal de fluorescencia, para la región N1 en las reacciones de RT-qPCR agrupadas.  Conclusión: El procedimiento confirma la ventaja de la inclusión de la SD en la RT-qPCR para detectar SARS-CoV-2 en muestras de saliva.

https://doi.org/10.18273/saluduis.57.e:25v57a33
HTML (English)
PDF (English)

Citas

1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020; 382(8): 727-33. doi: https://doi.org/10.1056/NEJMoa2001017

2. Adil MT, Rahman R, Whitelaw D, Jain V, Al-Taan O, Rashid F, et al. SARS-CoV-2 and the pandemic of COVID-19. Postgrad Med J. 2021; 97(1144): 110-6. doi: https://doi.org/10.1136/postgradmedj-2020-138386

3. Nakagawa S, Miyazawa T. Genome evolution of SARS-CoV-2 and its virological characteristics. Inflamm Regen. 2020; 40: 17. doi: https://doi.org/10.1186/s41232-020-00126-7

4. Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020; 25(3). doi: https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045

5. Butler KS, Carson BD, Podlevsky JD, Mayes CM, Rowland JM, Campbell DA, et al. Singleplex, multiplex and pooled sample real-time RT-PCR assays for detection of SARS-CoV-2 in an occupational medicine setting. Sci Rep. 2022; 12(1). doi: https://doi.org/10.1038/s41598-022-22106-2

6. Lu X, Wang L, Sakthivel SK, Whitaker B, Murray J, Kamili S, et al. US CDC real-time reverse transcription PCR panel for detection of severe acute respiratory syndrome coronavirus 2. Emerg Infect Dis. 2020; 26(8): 1654-65. doi: https://doi.org/10.3201/eid2608.201246

7. Kim HN, Yoon SY, Lim CS, Yoon J. Comparison of three molecular diagnostic assays for SARS-CoV-2 detection: evaluation of analytical sensitivity and clinical performance. J Clin Lab Anal. 2022; 36(2). doi: https://doi.org/10.1002/jcla.24242

8. Kuzan A, Tabakov I, Madej L, Mucha A, Fulawka L. What to do if the qPCR test for SARS-CoV-2 or other pathogen lacks endogenous internal control? A simple test on housekeeping genes. Biomedicines. 2023; 11(5): 1337. doi: https://doi.org/10.3390/biomedicines11051337

9. Benevides L, Mesquita FP, Brasil de Oliveira LL, Andréa da Silva Oliveira F, Elisabete Amaral de Moraes M, Souza PFN, et al. True or false: what are the factors that influence COVID-19 diagnosis by RT-qPCR? Expert Rev Mol Diagn. 2022; 22(2): 157-67. doi: https://doi.org/10.1080/14737159.2022.2037425

10. Bustin S, Huggett J. qPCR primer design revisited. Biomol Detect Quantif. 2017; 14: 19-28. doi: https://doi.org/10.1016/j.bdq.2017.11.001

11. Georgakopoulos-Soares I, Chan CSY, Ahituv N, Hemberg M. High-throughput techniques enable advances in the roles of DNA and RNA secondary structures in transcriptional and post-transcriptional gene regulation. Genome Biol. 2022; 23: 159. doi: https://doi.org/10.1186/s13059-022-02727-6

12. Condé L, Allatif O, Ohlmann T, de Breyne S. Translation of SARS-CoV-2 gRNA is extremely efficient and competitive despite a high degree of secondary structures and the presence of an uORF. Viruses. 2022; 14(7): 1505. doi: https://doi.org/10.3390/v14071505

13. Kelly JA, Olson AN, Neupane K, Munshi S, San Emeterio J, Pollack L, et al. Structural and functional conservation of the programmed -1 ribosomal frameshift signal of SARS-CoV-2. J Biol Chem. 2020; 295(31): 10741-8. doi: https://doi.org/10.1074/jbc.AC120.013449

14. Kovářová M, Dráber P. New specificity and yield enhancer of polymerase chain reactions. Nucleic Acids Res. 2000; 28(13): e70. doi: https://doi.org/10.1093/nar/28.13.e70

15. Cadena-Caballero CE, Vera-Cala LM, Barrios-Hernández C, Rueda-Plata D, Forero-Buitrago LJ, Torres-Jimenez CS, et al. Denaturing and dNTPs reagents improve SARS-CoV-2 detection via single and multiplex RT-qPCR. F1000Res. 2022; 11: 331. doi: https://doi.org/10.12688/f1000research.109673.2

16. Marra P, Colacurcio V, Bisogno A, de Luca P, Calvanese M, Petrosino M, et al. Evaluation of discomfort in nasopharyngeal swab specimen collection for SARS-CoV-2 diagnosis. Clin Ter. 2021; 172(5): 448-52. doi: https://doi.org/10.7417/CT.2021.2357

17. Jung EJ, Lee SK, Shin SH, Kim JS, Woo H, Cho EJ, et al. Comparison of nasal swabs, nasopharyngeal swabs, and saliva samples for the detection of SARS-CoV-2 and other respiratory virus infections. Ann Lab Med. 2023; 43(5): 434-42. doi: https://doi.org/10.3343/alm.2023.43.5.434

18. Dutta D, Naiyer S, Mansuri S, Soni N, Singh V, Bhat KH, et al. COVID-19 diagnosis: a comprehensive review of the RT-qPCR method for detection of SARS-CoV-2. Diagnostics. 2022; 12(6): 1503. doi: https://doi.org/10.3390/diagnostics12061503

19. Daniel EA, Esakialraj LBH, SA, Muthuramalingam K, Karunaianantham R, Karunakaran LP, et al. Pooled testing strategies for SARS-CoV-2 diagnosis: a comprehensive review. Diagn Microbiol Infect Dis. 2021; 101(2): 115432. doi: https://doi.org/10.1016/j.diagmicrobio.2021.115432

20. Alacam S, Bakir A. Pooling strategy for detection of SARS-CoV-2 RNA by real-time RT-PCR: comparison of pooling 5 and 10 samples. Clin Lab. 2023; 69(8): 1617-21. doi: https://doi.org/10.7754/Clin.Lab.2023.220830

21. World Medical Association Declaration of Helsinki. JAMA. 2013; 310(20): 2191-4. doi: https://doi.org/10.1001/jama.2013.281053

22. Cadena-Caballero CE, Navarro-Corredor MA, Vera-Cala LM, Barrios-Hernández C, Torres-Jiménez CS, Pardo-Diaz LA, et al. The nucleotides absent in genes of SARS-CoV-2 non-canonical subgenomic RNAs generate new programmed -1 ribosomal frameshifting. Zenodo. 2023. doi: https://doi.org/10.5281/zenodo.10398316

23. Wu F, Zhao S, Yu B, Chen YM, Wang W, Song ZG, et al. A new coronavirus associated with human respiratory disease in China. Nature. 2020; 579(7798): 265-9. doi: https://doi.org/10.1038/s41586-020-2008-3

24. Tamura K, Stecher G, Kumar S. MEGA11: Molecular evolutionary genetics analysis version 11. Mol Biol Evol. 2021; 38(7): 3022-7. doi: https://doi.org/10.1093/molbev/msab120

25. Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 2003; 31(13): 3406-15. doi: https://doi.org/10.1093/nar/gkg595

26. Darty K, Denise A, Ponty Y. VARNA: interactive drawing and editing of the RNA secondary structure. Bioinformatics. 2009; 25(15): 1974-5. doi: https://doi.org/10.1093/bioinformatics/btp250

27. Biesiada M, Purzycka KJ, Szachniuk M, Blazewicz J, Adamiak RW. Automated RNA 3D structure prediction with RNAComposer. Methods Mol Biol. 2016; 1490: 199-215. doi: https://doi.org/10.1007/978-1-4939-6433-8_13

28. R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2021.

29. RStudio Team. RStudio: integrated development for R. Boston: RStudio; 2020.

30. Jiang W, Ji W, Zhang Y, Xie Y, Chen S, Jin Y, et al. An update on detection technologies for SARS-CoV-2 variants of concern. Viruses. 2022; 14(11): 2324. doi: https://doi.org/10.3390/v14112324

31. Aguilar R, Mardones C, Moreno AA, Cepeda-Plaza M. A guide to RNA structure analysis and RNA-targeting methods. FEBS J. 2024;. doi: https://doi.org/10.1111/febs.17368

32. Wedemeyer H, Leus M, Battersby TR, Glenn J, Gordien E, Kamili S, et al. HDV RNA assays: performance characteristics, clinical utility, and challenges. Hepatology. 2023;. https://pubmed.ncbi.nlm.nih.gov/37640384

33. Wong JLC, David S, Sanchez-Garrido J, Woo JZ, Low WW, Morecchiato F, et al. Recurrent emergence of Klebsiella pneumoniae carbapenem resistance mediated by an inhibitory ompK36 mRNA secondary structure. Proc Natl Acad Sci U S A. 2022; 119(38). doi: https://doi.org/10.1073/pnas.2203593119

34. Day WHE, McMorris FR. Threshold consensus methods for molecular sequences. J Theor Biol. 1992; 159(4): 481-9. doi: https://doi.org/10.1016/S0022-5193(05)80692-7

35. Lesbon J, Poleti M, de Mattos Oliveira E, Patané J, Clemente L, Viala V, et al. Nucleocapsid (N) gene mutations of SARS-CoV-2 can affect real-time RT-PCR diagnostic and impact false-negative results. Viruses. 2021; 13(12): 2474. doi: https://doi.org/10.3390/v13122474

36. Hamill V, Noll L, Lu N, Tsui WNT, Porter EP, Gray M, et al. Molecular detection of SARS-CoV-2 strains and differentiation of Delta variant strains. Transbound Emerg Dis. 2022; 69(5): 2879-89. doi: https://doi.org/10.1111/tbed.14443

37. Nagy A, Vitásková E, Černíková L, Křivda V, Jiřincová H, Sedlák K, et al. Evaluation of TaqMan qPCR system integrating two identically labelled hydrolysis probes in a single assay. Sci Rep. 2017; 7(1). doi: https://doi.org/10.1038/srep41392

38. Oyola SO, Otto TD, Gu Y, Maslen G, Manske M, Campino S, et al. Optimizing Illumina next-generation sequencing library preparation for extremely AT-biased genomes. BMC Genomics. 2012; 13: 1. doi: https://doi.org/10.1186/1471-2164-13-1

39. Jang M, Kim S. Inhibition of non-specific amplification in loop-mediated isothermal amplification via tetramethylammonium chloride. Biochip J. 2022; 16(3): 326-33. doi: https://doi.org/10.1007/s13206-022-00070-3

40. Yang Z, Yang J, Yue L, Shen B, Wang J, Miao Y, et al. Enhancement effects and mechanism studies of two bismuth-based materials assisted by DMSO and glycerol in GC-rich PCR. Molecules. 2023; 28(11): 4515. doi: https://doi.org/10.3390/molecules28114515

41. Varadharajan B, Parani M. DMSO and betaine significantly enhance the PCR amplification of ITS2 DNA barcodes from plants. Genome. 2020; 64(3): 165-71. doi: https://doi.org/10.1139/gen-2019-0221

42. Chen Z, Ng RWY, Lui G, Ling L, Chow C, Yeung ACM, et al. Profiling of SARS-CoV-2 subgenomic RNAs in clinical specimens. Microbiol Spectr. 2022; 10(2). doi: https://doi.org/10.1128/spectrum.00182-22

43. Stadnytskyi V, Anfinrud P, Bax A. Breathing, speaking, coughing or sneezing: what drives transmission of SARS-CoV-2? J Intern Med. 2021; 290(5): 1010-27. doi: https://doi.org/10.1111/joim.13326

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Derechos de autor 2025 Lina Maria Vera Cala, Nathaniel A. Navarro-Baron, Yordy S. Cangrejo-Useda, Luis A. Pardo-Díaz, Cristian E. Cadena-Caballero, Carlos J. Barrios Hernandez, Francisco Martinez-Perez

Descargas

Los datos de descargas todavía no están disponibles.