Your browser doesn't support javascript.
loading
Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform.
Ahn, Su Jeong; Baek, Yun Hee; Lloren, Khristine Kaith S; Choi, Won-Suk; Jeong, Ju Hwan; Antigua, Khristine Joy C; Kwon, Hyeok-Il; Park, Su-Jin; Kim, Eun-Ha; Kim, Young-Il; Si, Young-Jae; Hong, Seung Bok; Shin, Kyeong Seob; Chun, Sungkun; Choi, Young Ki; Song, Min-Suk.
Afiliação
  • Ahn SJ; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Baek YH; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Lloren KKS; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Choi WS; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Jeong JH; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Antigua KJC; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Kwon HI; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Park SJ; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Kim EH; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Kim YI; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Si YJ; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea.
  • Hong SB; Department of Clinical Laboratory Science, Chungbuk Health and Science University, Cheongju, Republic of Korea.
  • Shin KS; Departments of Laboratory Medicine, Chungbuk National University College of Medicine, Cheongju, Republic of Korea.
  • Chun S; Department of Physiology, Chonbuk National University Medical School, Jeonju, 54907, Republic of Korea.
  • Choi YK; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea. choiki55@chungbuk.ac.kr.
  • Song MS; Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Chungdae-ro 1, Seowon-Ku, Cheongju, 28644, Republic of Korea. songminsuk@chungbuk.ac.kr.
BMC Infect Dis ; 19(1): 676, 2019 Aug 01.
Article em En | MEDLINE | ID: mdl-31370782
ABSTRACT

BACKGROUND:

In addition to seasonal influenza viruses recently circulating in humans, avian influenza viruses (AIVs) of H5N1, H5N6 and H7N9 subtypes have also emerged and demonstrated human infection abilities with high mortality rates. Although influenza viral infections are usually diagnosed using viral isolation and serological/molecular analyses, the cost, accessibility, and availability of these methods may limit their utility in various settings. The objective of this study was to develop and optimized a multiplex detection system for most influenza viruses currently infecting humans.

METHODS:

We developed and optimized a multiplex detection system for most influenza viruses currently infecting humans including two type B (both Victoria lineages and Yamagata lineages), H1N1, H3N2, H5N1, H5N6, and H7N9 using Reverse Transcriptional Loop-mediated Isothermal Amplification (RT-LAMP) technology coupled with a one-pot colorimetric visualization system to facilitate direct determination of results without additional steps. We also evaluated this multiplex RT-LAMP for clinical use using a total of 135 clinical and spiked samples (91 influenza viruses and 44 other human infectious viruses).

RESULTS:

We achieved rapid detection of seasonal influenza viruses (H1N1, H3N2, and Type B) and avian influenza viruses (H5N1, H5N6, H5N8 and H7N9) within an hour. The assay could detect influenza viruses with high sensitivity (i.e., from 100 to 0.1 viral genome copies), comparable to conventional RT-PCR-based approaches which would typically take several hours and require expensive equipment. This assay was capable of specifically detecting each influenza virus (Type B, H1N1, H3N2, H5N1, H5N6, H5N8 and H7N9) without cross-reactivity with other subtypes of AIVs or other human infectious viruses. Furthermore, 91 clinical and spiked samples confirmed by qRT-PCR were also detected by this multiplex RT-LAMP with 98.9% agreement. It was more sensitive than one-step RT-PCR approach (92.3%).

CONCLUSIONS:

Results of this study suggest that our multiplex RT-LAMP assay may provide a rapid, sensitive, cost-effective, and reliable diagnostic method for identifying recent influenza viruses infecting humans, especially in locations without access to large platforms or sophisticated equipment.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus da Influenza A / Colorimetria / Técnicas de Amplificação de Ácido Nucleico / Influenza Humana Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus da Influenza A / Colorimetria / Técnicas de Amplificação de Ácido Nucleico / Influenza Humana Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article