Field validation of the performance of paper-based tests for the detection of the Zika and chikungunya viruses in serum samples

Autores organización
Autores
- Karlikow M
- da Silva SJR
- Guo Y
- Cicek S
- Krokovsky L
- Homme P
- Xiong Y
- Xu T
- Camacho-Ortega S
- Ma D
- de Magalhães JJF
- Souza BNRF
- de Albuquerque Cabral DG
- Jaenes K
- Sutyrina P
- Ferrante T
- Benitez AD
- Nipaz V
- Ponce P
- Rackus DG
- Collins JJ
- Paiva M
- Cevallos V
- Green AA
- Ayres C
- Pena L
- Pardee K
Grupos de investigación
Resumen
In 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. © 2022, The Author(s).
© 2022. The Author(s).
Datos de la publicación
- ISSN/ISSNe:
- 2157-846X, 2157-846X
- Tipo:
- Article
- Páginas:
- 246-256
- Enlace a otro recurso:
- www.scopus.com
Nature Biomedical Engineering Nature Research
Citas Recibidas en Web of Science: 18
Citas Recibidas en Scopus: 47
Documentos
- No hay documentos
Filiaciones
Keywords
- Chikungunya Fever; Chikungunya virus; Dengue; Humans; Zika Virus; Zika Virus Infection; Polymerase chain reaction; Software testing; Synthetic biology; Testing; Chikungunya; Confidence interval; Diagnostic tests; Field validation; Infectious disease outbreaks; Latin America; Low-resource settings; Paper-based test; Performance; Serum samples; Article; Chikungunya virus; controlled study; Dengue virus; human; human cell; isothermal amplification; nonhuman; real time polymerase chain reaction; South and Central America; validation process; virus detection; Yellow fever virus; Zika virus; chikungunya; dengue; genetics; Zika fever; Diagnosis
Proyectos asociados
Evaluación de la capacidad oncolítica de Zika virus (ZVCO16) sobre líneas celulares de glioblastoma humano
Investigador Principal: JAIME EDUARDO CASTELLANOS PARRA
PCI-2019-10734 . 2021
Desarrollo de un modelo de epitelio asociado a folículo ( FAE ) en ambiente HLA-B27 positivo: una aproximación para en estudio in vitro de transcitosis reversa de SIgA en las espondiloartritis
Investigador Principal: JULIETTE DE AVILA QUIROGA
UEB-2019-517 . 2019
Factores de riesgo biológicos y sociodemográficos para la transmisión de dengue y otras arbovirosis, asociados a la presencia de Aedes albopíctus en agunos municipios del departamento del Cauca colombia
Investigador Principal: JAIME EDUARDO CASTELLANOS PARRA
UEB-2019-519 . 2019
Modificación de la función de la barrera hematoencefálica in vitro e in vivo inducida por vesículas extracelulares (Evs) derivadas de células infectadas por ZIKV
Investigador Principal: MYRIAM LUCIA VELANDIA ROMERO
2020
Citar la publicación
Karlikow M,da SJR,Guo Y,Cicek S,Krokovsky L,Homme P,Xiong Y,Xu T,Calderón M-A,Camacho S,Ma D,de Magalhães JJF,Souza BNRF,de Albuquerque DG,Jaenes K,Sutyrina P,Ferrante T,Benitez AD,Nipaz V,Ponce P,Rackus DG,Collins JJ,Paiva M,Castellanos JE,Cevallos V,Green AA,Ayres C,Pena L,Pardee K. Field validation of the performance of paper-based tests for the detection of the Zika and chikungunya viruses in serum samples. Nat Biomed Eng. 2022. 6. (3):p. 246-256. IF:28,100. (1).