Field validation of the performance of paper-based tests for the detection of the Zika and chikungunya viruses in serum samples
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s41551-022-00850-0.pdf
Description
Published version
Size
1.94 MB
Format
Adobe PDF
Checksum (MD5)
0303661c12aef484474d707e4806d46e
Author(s)
Karlikow, Margot
da Silva, Severino Jefferson Ribeiro
Guo, Yuxiu
Cicek, Seray
Krokovsky, Larissa
Homme, Paige
Xiong, Yilin
Xu, Talia
Calderón-Peláez, Maria-Angelica
Camacho-Ortega, Sigrid
Date Issued
2022
Journal
Nature Biomedical Engineering
Publisher
Springer Science and Business Media LLC
Citation
Karlikow, Margot, da Silva, Severino Jefferson Ribeiro, Guo, Yuxiu, Cicek, Seray, Krokovsky, Larissa et al. 2022. "Field validation of the performance of paper-based tests for the detection of the Zika and chikungunya viruses in serum samples." Nature Biomedical Engineering, 6 (3).
Version
Final published version
Abstract
AbstractIn low-resource settings, resilience to infectious disease outbreaks can be hindered by limited access to diagnostic tests. Here we report the results of double-blinded studies of the performance of paper-based diagnostic tests for the Zika and chikungunya viruses in a field setting in Latin America. The tests involved a cell-free expression system relying on isothermal amplification and toehold-switch reactions, a purpose-built portable reader and onboard software for computer vision-enabled image analysis. In patients suspected of infection, the accuracies and sensitivities of the tests for the Zika and chikungunya viruses were, respectively, 98.5% (95% confidence interval, 96.2–99.6%, 268 serum samples) and 98.5% (95% confidence interval, 91.7–100%, 65 serum samples) and approximately 2 aM and 5 fM (both concentrations are within clinically relevant ranges). The analytical specificities and sensitivities of the tests for cultured samples of the viruses were equivalent to those of the real-time quantitative PCR. Cell-free synthetic biology tools and companion hardware can provide de-centralized, high-capacity and low-cost diagnostics for use in low-resource settings.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41551-022-00850-0
