Literature DB >> 29979812

Development of multiplex real-time reverse-transcriptase polymerase chain reaction assay for simultaneous detection of Zika, dengue, yellow fever, and chikungunya viruses in a single tube.

Wenhui Wu1,2, Jin Wang1,2, Nan Yu3, Juying Yan4, Zhihao Zhuo1,2, Mengyuan Chen1,2, Xiaosong Su1,2, Mujin Fang1,2, Shuizhen He5, Shiyin Zhang1,2, Yanjun Zhang4, Shengxiang Ge1,2, Ningshao Xia1,2.   

Abstract

Zika virus (ZIKV), dengue virus (DENV), chikungunya virus (CHIKV) and yellow fever virus (YFV) share the same mosquito vectors and have similar clinical manifestations early stage of infection. Therefore, simultaneously differentiating these viruses from each other is necessary. We developed a multiplex real-time reverse-transcriptase polymerase chain reaction (RT-PCR) assay for the differentiation of these four viruses in a single tube. The linear range was established by regression analysis, and the R2 value for each virus was ≥0.98, and the 95% lower limit of detection for each virus was as follows (copies/reaction): ZIKV-Asian, 9; ZIKV-Africa, 15; CHIKV, 11; DENV-1, 19; DENV-2, 13; DENV-3, 24; DENV-4, 36; and YFV, 17. Meanwhile, our multiplex real-time RT-PCR has a good consistency with the commercial singleplex assay. In summary, the developed assay can be effectively used for the diagnosis of ZIKV, DENV, CHIKV, and YFV infections.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Zika; chikungunya; dengue; multiplex real-time reverse-transcriptase polymerase chain reaction; yellow fever

Mesh:

Year:  2018        PMID: 29979812     DOI: 10.1002/jmv.25253

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  9 in total

1.  One-step pentaplex real-time polymerase chain reaction assay for detection of zika, dengue, chikungunya, West nile viruses and a human housekeeping gene.

Authors:  Nischay Mishra; James Ng; Jennifer L Rakeman; Michael J Perry; Dominick A Centurioni; Amy B Dean; Adam Price; Riddhi Thakkar; Andreina Garcia Angus; Phillip Williamson; Eric Delwart; Christine Carrington; Nikita Sahadeo; Xiaoyu Che; Thomas Briese; Rafal Tokarz; W Ian Lipkin
Journal:  J Clin Virol       Date:  2019-09-16       Impact factor: 3.168

2.  Development of a Specific CHIKV-E2 Monoclonal Antibody for Chikungunya Diagnosis.

Authors:  Jaemoo Kim; Jihyun Yang; Young Bong Kim; Hee-Jung Lee; Sehyun Kim; Haryoung Poo
Journal:  Virol Sin       Date:  2019-06-18       Impact factor: 4.327

Review 3.  Beyond Fever and Pain: Diagnostic Methods for Chikungunya Virus.

Authors:  Muktha S Natrajan; Alejandra Rojas; Jesse J Waggoner
Journal:  J Clin Microbiol       Date:  2019-05-24       Impact factor: 5.948

4.  Design and Analysis of a Single System of Impedimetric Biosensors for the Detection of Mosquito-Borne Viruses.

Authors:  Fahmida Nasrin; Kenta Tsuruga; Doddy Irawan Setyo Utomo; Ankan Dutta Chowdhury; Enoch Y Park
Journal:  Biosensors (Basel)       Date:  2021-10-07

5.  Recent molecular techniques for the diagnosis of Zika and Chikungunya infections: A systematic review.

Authors:  María C Cardona-Trujillo; Tatiana Ocampo-Cárdenas; Fredy A Tabares-Villa; Augusto Zuluaga-Vélez; Juan C Sepúlveda-Arias
Journal:  Heliyon       Date:  2022-08-13

Review 6.  CRISPR-Based Programmable Nucleic Acid-Binding Protein Technology Can Specifically Detect Fatal Tropical Disease-Causing Pathogens.

Authors:  Md Rashidur Rahman; Toma Rani Majumder; Md Aminul Islam Apu; Alok K Paul; Afrina Afrose; Biplab Kumar Dash
Journal:  J Trop Med       Date:  2022-07-18

7.  Montelukast, an Anti-asthmatic Drug, Inhibits Zika Virus Infection by Disrupting Viral Integrity.

Authors:  Yongkang Chen; Yuan Li; Xiaohuan Wang; Peng Zou
Journal:  Front Microbiol       Date:  2020-01-30       Impact factor: 5.640

8.  Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti.

Authors:  Natalie Rutkowski; Yuemei Dong; George Dimopoulos
Journal:  Parasit Vectors       Date:  2020-09-24       Impact factor: 3.876

Review 9.  Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care.

Authors:  Md Alamgir Kabir; Hussein Zilouchian; Muhammad Awais Younas; Waseem Asghar
Journal:  Biosensors (Basel)       Date:  2021-06-23
  9 in total

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