Literature DB >> 31170469

Ten-minute direct detection of Zika virus in serum samples by RT-LAMP.

Paulo Felipe Neves Estrela1, Geovana de Melo Mendes1, Kézia Gomes de Oliveira1, Alexandre Melo Bailão2, Célia Maria de Almeida Soares2, Nilson Antônio Assunção3, Gabriela Rodrigues Mendes Duarte4.   

Abstract

Zika virus (ZIKV) is a current threat to global health. In most of cases, ZIKV infection has no symptoms; however in some cases, ZIKV can cause paralysis (Guillain-Barré syndrome), and in pregnant women, it can cause birth defects in infants. Rapid and accurate diagnosis can help improve disease control as well as being vital to prenatal care for women living in endemic areas. Molecular diagnostics based on isothermal amplification techniques are an excellent alternative to conventional methods of DNA amplification, such as PCR. Here, we develop and optimized a rapid and sensitive method for direct detection of ZIKV in Serum samples based on RT-LAMP and visual detection. The reaction was thermally controlled with a thermoblock for 10 min at 72 °C. The results show that the use of the Bst 3.0 enzyme and an adequate optimization can further reduce the time needed for the RT-LAMP reaction to detect ZIKV. Our results demonstrate that it is possible to detect ZIKV through RT-LAMP directly from a Serum sample, without prior RNA extraction. As little as 10-3 copies of RNA in a 10 μL reaction (20 zepto-molar) was detected by RT-LAMP from a panel of 51 Serum samples (16 samples from pregnant women and 35 samples from newborns infected with ZIKV during pregnancy). The RT-LAMP has proven to be a valuable tool for molecular diagnosis of Zika, presenting a great potential for point-of-care applications, especially in developing countries.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Molecular diagnosis; Point-of-care; RT-LAMP; Rapid detection; Zika virus

Mesh:

Substances:

Year:  2019        PMID: 31170469     DOI: 10.1016/j.jviromet.2019.113675

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  7 in total

1.  Detection and discrimination of multiple strains of Zika virus by reverse transcription-loop-mediated isothermal amplification.

Authors:  Hiroka Aonuma; Itoe Iizuka-Shiota; Tokio Hoshina; Shigeru Tajima; Fumihiro Kato; Seiji Hori; Masayuki Saijo; Hirotaka Kanuka
Journal:  Trop Med Health       Date:  2020-10-21

Review 2.  Loop-Mediated Isothermal Amplification (LAMP) for the Diagnosis of Zika Virus: A Review.

Authors:  Severino Jefferson Ribeiro da Silva; Keith Pardee; Lindomar Pena
Journal:  Viruses       Date:  2019-12-23       Impact factor: 5.048

Review 3.  Current methods and prospects of coronavirus detection.

Authors:  Jiaqi Bu; Zhiwei Deng; Hui Liu; Jiacheng Li; Yanjing Yang; Shian Zhong
Journal:  Talanta       Date:  2020-12-31       Impact factor: 6.556

4.  Colorimetric isothermal nucleic acid detection of SARS-CoV-2 with dye combination.

Authors:  Shanshan Wu; Xiyang Liu; Shenglong Ye; Jianmin Liu; Wei Zheng; Xue Dong; Xiushan Yin
Journal:  Heliyon       Date:  2021-04-21

Review 5.  Updating the use of nano-biosensors as promising devices for the diagnosis of coronavirus family members: A systematic review.

Authors:  Adriano Aquino; Vania Margaret Flosi Paschoalin; Leticia Louize Gonçalves Tessaro; Paulo A Raymundo-Pereira; Carlos Adam Conte-Junior
Journal:  J Pharm Biomed Anal       Date:  2022-01-25       Impact factor: 3.935

6.  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

7.  Contamination-free visual detection of SARS-CoV-2 with CRISPR/Cas12a: A promising method in the point-of-care detection.

Authors:  Yanju Chen; Ya Shi; Yin Chen; Zhangnv Yang; Hui Wu; Zhihui Zhou; Jue Li; Jianfeng Ping; Luping He; Hong Shen; Zhengxin Chen; Jian Wu; Yunsong Yu; Yanjun Zhang; Huan Chen
Journal:  Biosens Bioelectron       Date:  2020-09-20       Impact factor: 10.618

  7 in total

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