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Rapid Detection Strategies for the Global Threat of Zika Virus: Current State, New Hypotheses, and Limitations

Authors
Shukla, ShrutiHong, Sung-YongChung, Soo HyunKim, Myunghee
Issue Date
24-Oct-2016
Publisher
FRONTIERS MEDIA SA
Keywords
detection; diagnosis; immunoassay; liposome; PCR; Zika; virus
Citation
FRONTIERS IN MICROBIOLOGY, v.7
Indexed
SCIE
SCOPUS
Journal Title
FRONTIERS IN MICROBIOLOGY
Volume
7
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/87151
DOI
10.3389/fmicb.2016.01685
ISSN
1664-302X
Abstract
The current scenario regarding the widespread Zika virus (ZIKV) has resulted in numerous diagnostic studies, specifically in South America and in locations where there is frequent entry of travelers returning from ZIKV-affected areas, including pregnant women with or without clinical symptoms of ZIKV infection. The World Health Organization, WHO, announced that millions of cases of ZIKV are likely to occur in the USA in the near future. This situation has created an alarming public health emergency of international concern requiring the detection of this life-threatening viral candidate due to increased cases of newborn microcephaly associated with ZIKV infection. Hence, this review reports possible methods and strategies for the fast and reliable detection of ZIKV with particular emphasis on current updates, knowledge, and new hypotheses that might be helpful for medical professionals in poor and developing countries that urgently need to address this problem. In particular, we emphasize liposome-based biosensors. Although these biosensors are currently among the less popular tools for human disease detection, they have become useful tools for the screening and detection of pathogenic bacteria, fungi, and viruses because of their versatile advantageous features compared to other sensing devices. This review summarizes the currently available methods employed for the rapid detection of ZIKV and suggests an innovative approach involving the application of a liposome-based hypothesis for the development of new strategies for ZIKV detection and their use as effective biomedicinal tools.
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