Genosensors for differential detection of Zika virus

Daniel Alzate; Sebastian Cajigas; Sara Robledo; Carlos Muskus; Jahir Orozco

doi:10.1016/j.talanta.2019.120648

Genosensors for differential detection of Zika virus

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

Research output: Contribution to journal › Article › Academic › peer-review

45 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 language	English
Article number	120648
Number of pages	8
Journal	Talanta
Volume	210
DOIs	https://doi.org/10.1016/j.talanta.2019.120648
Publication status	Published - 1 Apr 2020
Externally published	Yes

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.

Funding

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. 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 Mar?n 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 Biol?gicas del Tr?pico 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.talanta.2019.120648

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title = "Genosensors for differential detection of Zika virus",

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.",

keywords = "Bioinformatics, Differencial-detection, Electrochemistry, Genosensors, Zika-virus, Zika Virus/genetics, Electrochemical Techniques, Biosensing Techniques, Polymerase Chain Reaction",

author = "Daniel Alzate and Sebastian Cajigas and Sara Robledo and Carlos Muskus and Jahir Orozco",

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 Mar{\'i}n 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 Biol{\'o}gicas del Tr{\'o}pico IIBT (Universidad de Cordoba) for providing us with virus isolates and serum samples from infected patients, respectively. ",

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doi = "10.1016/j.talanta.2019.120648",

language = "English",

volume = "210",

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AU - Alzate, Daniel

AU - Cajigas, Sebastian

AU - Robledo, Sara

AU - Muskus, Carlos

AU - Orozco, Jahir

N1 - 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.

PY - 2020/4/1

Y1 - 2020/4/1

N2 - 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.

AB - 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.

KW - Bioinformatics

KW - Differencial-detection

KW - Electrochemistry

KW - Genosensors

KW - Zika-virus

KW - Zika Virus/genetics

KW - Electrochemical Techniques

KW - Biosensing Techniques

KW - Polymerase Chain Reaction

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DO - 10.1016/j.talanta.2019.120648

M3 - Article

C2 - 31987197

AN - SCOPUS:85076563048

SN - 0039-9140

VL - 210

JO - Talanta

JF - Talanta

M1 - 120648

ER -

Genosensors for differential detection of Zika virus

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

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