Genosensors for differential detection of Zika virus

Daniel Alzate, Sebastian Cajigas, Sara Robledo, Carlos Muskus, Jahir Orozco (Corresponding author)

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41 Citations (Scopus)

Abstract

Zika virus (ZIKV) is considered an emerging infectious disease of high clinical and epidemiological relevance. The epidemiological emergency generated by the virus in Latin America and Southeast Asia in 2014 evidenced the urgent need for rapid and acute diagnostic tools. The current laboratory diagnosis of ZIKV is based on molecular and serological methods. However, molecular tools need expensive and sophisticated equipment and trained personnel; and serological detection may suffer from cross-reactivity. In this context, genosensors offer an attractive alternative for field-ready, early and accurate diagnosis of ZIKV. This work reports on the development of genosensors for the differential detection of ZIKV and its discrimination from dengue (DENV) and chikungunya (CHIKV) homologous arboviruses. We designed specific capture and signal probes by bioinformatics, and prove their specificity to amplify the target genetic material by the polymerase chain reaction (PCR). The designed biotinylated capture and digoxigenin (Dig)-labeled signal probes hybridized the target in a sandwich-type format. An anti-Dig antibody labeled with the horseradish peroxidase (HRP) enzyme allowed for both optical and electrochemical detection. The genosensors detected the ZIKV genetic material in spiked serum, urine, and saliva samples and cDNA from infected patients, discriminating them from the DENV and ZIKV genetic material. The proposed system offers a step forward to the differential diagnosis of the ZIKV, closer to the patient, very promising for diagnosis and surveillance of this rapidly emerging disease.

Original languageEnglish
Article number120648
Number of pages8
JournalTalanta
Volume210
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Bibliographical note

Funding Information:
The work has been funded by COLCIENCIAS , through the 111574454836 project. J.O thanks support from The University of Antioquia and The Max Planck Society through the cooperation agreement 566–1, 2014 . Authors thank Mr. Esteban Marín from the PECET (Universidad de Antioquia) for his technical support in the molecular methods. We acknowledge to Dr. Raquel E. Ocazionez from The Medical School, Centro de Investigaciones en Enfermedades Tropicales (Universidad Industrial de Santander) and Dr. Salim Mattar, Instituto de Investigaciones Biológicas del Trópico IIBT (Universidad de Cordoba) for providing us with virus isolates and serum samples from infected patients, respectively.

Keywords

  • Bioinformatics
  • Differencial-detection
  • Electrochemistry
  • Genosensors
  • Zika-virus
  • Zika Virus/genetics
  • Electrochemical Techniques
  • Biosensing Techniques
  • Polymerase Chain Reaction

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