DOI QR코드

DOI QR Code

Development of Nucleic Acid Lateral Flow Immunoassay for Rapid and Accurate Detection of Chikungunya Virus in Indonesia

  • Ajie, Mandala (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran) ;
  • Pascapurnama, Dyshelly Nurkartika (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran) ;
  • Prodjosoewojo, Susantina (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran) ;
  • Kusumawardani, Shinta (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran) ;
  • Djauhari, Hofiya (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran) ;
  • Handali, Sukwan (Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention) ;
  • Alisjahbana, Bachti (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran) ;
  • Chaidir, Lidya (Research Center for Care and Control of Infectious Disease (RC3ID), Faculty of Medicine, Universitas Padjadjaran)
  • Received : 2021.08.19
  • Accepted : 2021.09.29
  • Published : 2021.12.28

Abstract

Chikungunya fever is an arboviral disease caused by the Chikungunya virus (CHIKV). The disease has similar clinical manifestations with other acute febrile illnesses which complicates differential diagnosis in low-resource settings. We aimed to develop a rapid test for CHIKV detection based on the nucleic acid lateral flow immunoassay technology. The system consists of a primer set that recognizes the E1 region of the CHIKV genome and test strips in an enclosed cassette which are used to detect amplicons labeled with FITC/biotin. Amplification of the viral genome was done using open-source PCR, a low-cost open-source thermal cycler. Assay performance was evaluated using a panel of RNA isolated from patients' blood with confirmed CHIKV (n = 8) and dengue virus (n = 20) infection. The open-source PCR-NALFIA platform had a limit of detection of 10 RNA copies/ml. The assay had a sensitivity and specificity of 100% (95% CI: 67.56% - 100%) and 100% (95% CI: 83.89% - 100%), respectively, compared to reference standards of any positive virus culture on C6/36 cell lines and/or qRT-PCR. Further evaluation of its performance using a larger sample size may provide important data to extend its usefulness, especially its utilization in the peripheral healthcare facilities with scarce resources and outbreak situations.

Keywords

Acknowledgement

We would like to thank our colleagues in the Infectious Disease Research Center for their support in getting the study done and for a fruitful discussion during the study period. This study was supported by the Grand Challenge Canada and Universitas Padjadjaran. The funding sources had no role in the design, conduct, analysis or reporting of the study.

References

  1. Zeller H, Van Bortel W, Sudre B. 2016. Chikungunya: Its history in Africa and Asia and its spread to new regions in 2013-2014. J. Infect. Dis. 214(suppl 5): S436-S440. https://doi.org/10.1093/infdis/jiw391
  2. Mohan A, Kiran DHN, Chiranjeevi Manohar I, Prabath Kumar D. 2010. Epidemiology, clinical manifestations, and diagnosis of Chikungunya fever: lessons learned from the re-emerging epidemic. Indian J. Dermatol. 55: 54-63. https://doi.org/10.4103/0019-5154.60355
  3. Mardekian SK, Roberts AL. 2015. Diagnostic options and challenges for dengue and Chikungunya viruses. Biomed. Res. Int. 2015: 834371.
  4. Dash M, Mohanty I, Padhi S. 2011. Laboratory diagnosis of Chikungunya virus: do we really need it? Indian J. Med. Sci. 65: 83-91. https://doi.org/10.4103/0019-5359.104781
  5. Caglioti C, Lalle E, Castilletti C, Carletti F, Capobianchi MR, Bordi L. 2013. Chikungunya virus infection: an overview. New Microbiol. 36: 211-227.
  6. Johnson BW, Russell BJ, Goodman CH. 2016. Laboratory diagnosis of Chikungunya virus infections and commercial sources for diagnostic assays. J. Infect. Dis. 214(suppl 5): S471-S474. https://doi.org/10.1093/infdis/jiw274
  7. Pastorino B, Bessaud M, Grandadam M, Murri S, Tolou HJ, Peyrefitte CN. 2005. Development of a TaqMan RT-PCR assay without RNA extraction step for the detection and quantification of African Chikungunya viruses. J. Virol. Methods 124: 65-71. https://doi.org/10.1016/j.jviromet.2004.11.002
  8. Santhosh SR, Parida MM, Dash PK, Pateriya A, Pattnaik B, Pradhan HK, et al. 2007. Development and evaluation of SYBR Green I-based one-step real-time RT-PCR assay for detection and quantification of Chikungunya virus. J. Clin. Virol. 39: 188-193. https://doi.org/10.1016/j.jcv.2007.04.015
  9. Reddy V, Ravi V, Desai A, Parida M, Powers AM, Johnson BW. 2012. Utility of IgM ELISA, TaqMan real-time PCR, reverse transcription PCR, and RT-LAMP assay for the diagnosis of Chikungunya fever. J. Med. Virol. 84: 1771-1778. https://doi.org/10.1002/jmv.23406
  10. Lanciotti RS, Kosoy OL, Laven JJ, Panella AJ, Velez JO, Lambert AJ, et al. 2007. Chikungunya virus in US travelers returning from India, 2006. Emerg. Infect. Dis. 13: 764-767. https://doi.org/10.3201/eid1305.070015
  11. Kuno G. 2015. A Re-Examination of the history of etiologic confusion between Dengue and Chikungunya. PLoS Negl. Trop. Dis. 9: e0004101. https://doi.org/10.1371/journal.pntd.0004101
  12. Powers AM, Roehrig JT. 2011. Alphaviruses. Methods Mol. Biol. 665: 17-38. https://doi.org/10.1007/978-1-60761-817-1_2
  13. Powers AM. 2010. Chikungunya. Clin. Lab. Med. 30: 209-219. https://doi.org/10.1016/j.cll.2009.10.003
  14. Sahadeo N, Mohammed H, Allicock OM, Auguste AJ, Widen SG, Badal K, et al. 2015. Molecular characterisation of Chikungunya virus infections in trinidad and comparison of clinical and laboratory features with Dengue and other acute febrile cases. PLoS Negl. Trop. Dis. 9: e0004199. https://doi.org/10.1371/journal.pntd.0004199
  15. Cardoso CW, Paploski IAD, Kikuti M, Rodrigues MS, Silva MMO, Campos GS, et al. 2015. Outbreak of exanthematous illness associated with Zika, Chikungunya, and Dengue viruses, Salvador, Brazil. Emerg. Infect. Dis. 21: 2274-2276. https://doi.org/10.3201/eid2112.151167
  16. Musso D, Cao-Lormeau VM , Gubler DJ. 2015. Zika virus: following the path of dengue and chikungunya? Lancet 386: 243-244. https://doi.org/10.1016/S0140-6736(15)61273-9
  17. Kamphee Hatairat, Chaiprasert A, Prammananan T, Wiriyachaiporn N, Kanchanatavee A, Dharakul T. 2015. Rapid molecular detection of multidrug-resistant tuberculosis by PCR-nucleic acid lateral flow immunoassay. PLoS One 10: e0137791. https://doi.org/10.1371/journal.pone.0137791
  18. Kumvongpin R, Jearanaikoon P, Wilailuckana C, Sae-Ung Nattaya, Prasongdee Prinya, Daduang S, et al. 2017. Detection assay for HPV16 and HPV18 by loopmediated isothermal amplification with lateral flow dipstick tests. Mol. Med. Rep. 15: 3203-3209. https://doi.org/10.3892/mmr.2017.6370
  19. El-Tholoth Mohamed, Branavan Manoharanehru, Naveenathayalan A, Balachandran W. 2019. Recombinase polymerase amplification-nucleic acid lateral flow immunoassays for Newcastle disease virus and infectious bronchitis virus detection. Mol. Biol. Rep. 46: 6391-6397. https://doi.org/10.1007/s11033-019-05085-y
  20. Kosasih H, de Mast Q, Widjaja S, Sudjana P, Antonjaya U, Ma'roef C, et al. 2013. Evidence for endemic Chikungunya virus infections in Bandung, Indonesia. PLoS Negl. Trop. Dis. 7: e2483. https://doi.org/10.1371/journal.pntd.0002483
  21. Sari K, Myint KSA, Andayani AR, Adi PD, Dhenni R, Perkasa A, et al. 2017. Chikungunya fever outbreak identified in North Bali, Indonesia. Trans. R Soc. Trop. Med. Hyg. 111: 325-327. https://doi.org/10.1093/trstmh/trx054
  22. Chai OpenPCR. 2019. Open-source PCR-Tech SPecs. https://open-source PCR.org/-tech-specs.
  23. Prodjosoewojo S, Riswari SF, Djauhari H, Kosasih H, van Pelt LJ, Alisjahbana B, et al. 2019. A novel diagnostic algorithm equipped on an automated hematology analyzer to differentiate between common causes of febrile illness in Southeast Asia. PLoS Negl. Trop. Dis. 13: e0007183. https://doi.org/10.1371/journal.pntd.0007183
  24. Kim YH, Yang I, Bae YS, Park SR. 2008. Performance evaluation of thermal cyclers for PCR in a rapid cycling condition. Biotechniques 44: 495-496, 498, 500 passim. https://doi.org/10.2144/000112705
  25. Cherpin R, Bozonnet D. 2017. Metrology in thermal cyclers: a new approach, in 18th International Congress of Metrology. 2017, EDP Science: Paris, France.
  26. Biorad. 2008. Biorad commercial thermal cycler Instruction Manual. [cited 2020 4 April]; Available from: http://www.bio-rad.com/webroot/web/pdf/lsr/literature/4006200E.pdf.
  27. Mendoza EJ, Robinson A, Dimitrova K, Mueller N, Holloway K, Makowski K, et al. 2019. Combining anti-IgM and IgG immunoassays for comprehensive Chikungunya virus diagnostic testing. Zoonoses Public Health 66: 909-917. https://doi.org/10.1111/zph.12641
  28. Okabayashi T, Sasaki T, Masrinoul P, Chantawat N, Yoksan S, Nitatpattana N, et al. 2015. Detection of Chikungunya virus antigen by a novel rapid immunochromatographic test. J. Clin. Microbiol. 53: 382-388. https://doi.org/10.1128/JCM.02033-14
  29. Huits R, Okabayashi T, Cnops L, Barbe B, Van Den Berg R, Bartholomeeusen K, et al. 2018. Diagnostic accuracy of a rapid E1-antigen test for Chikungunya virus infection in a reference setting. Clin. Microbiol. Infect. 24: 78-81. https://doi.org/10.1016/j.cmi.2017.06.004