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Zika Virus Specific Diagnostic Epitope Discovery
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Zika Virus Specific Diagnostic Epitope Discovery

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Advances in Diagnostic Methods for Zika Virus Infection

Carlos A Herrada1, Md Alamgir Kabir1, Rommel Altamirano1

  • 1Department of Computer Engineering and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.

Journal of Medical Devices
|January 22, 2019
PubMed

Insights

Zika virus (ZIKV) poses severe risks, prompting global health concern. This review details ZIKV research, focusing on diagnostic tools like ELISA and qRT-PCR, and future research directions.

Area of Science:

  • Virology
  • Immunology
  • Biotechnology

Background:

  • Zika virus (ZIKV) is a mosquito-borne flavivirus linked to severe fetal and neonatal complications, including microcephaly and neurological disorders.
  • Its rapid global spread led the World Health Organization (WHO) to declare it a public health emergency, necessitating urgent research.
  • Significant efforts are underway for ZIKV diagnostics, vaccines, and prevention strategies.

Purpose of the Study:

  • To review recent advancements in Zika virus (ZIKV) research.
  • To focus on the development and application of serological and molecular diagnostic tools for ZIKV detection.
  • To discuss current limitations and future potential of ZIKV detection technologies.

Main Methods:

  • Review of recent scientific literature on Zika virus (ZIKV).
  • Analysis of various diagnostic methods including serological assays (Zika MAC-ELISA, PRNT) and molecular techniques (qRT-PCR, RT-LAMP, NASBA, RPA).
  • Evaluation of emerging sensing technologies like localized surface plasmon resonance (LSPR) biosensors.

Main Results:

  • The review covers ZIKV outbreaks, genome, replication, and propagation.
  • Detailed examination of multiple diagnostic tools, highlighting their principles and applications.
  • Identification of limitations in current diagnostic methods and promising aspects of new technologies.

Conclusions:

  • Continued research is crucial for effective ZIKV control and management.
  • Advancements in diagnostic technologies offer improved sensitivity and specificity for ZIKV detection.
  • Future research should focus on refining existing methods and exploring novel sensing platforms for rapid and accurate ZIKV diagnosis.

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