Literature DB >> 33731192

An evaluation of the InDevR FluChip-8G insight microarray assay in characterizing influenza a viruses.

Emily S Bailey1,2,3, Xinye Wang4,5, Mai-Juan Ma6, Guo-Lin Wang4, Gregory C Gray7,8,4,9.   

Abstract

Influenza viruses are an important cause of disease in both humans and animals, and their detection and characterization can take weeks. In this study, we sought to compare classical virology techniques with a new rapid microarray method for the detection and characterization of a very diverse, panel of animal, environmental, and human clinical or field specimens that were molecularly positive for influenza A alone (n = 111), influenza B alone (n = 3), both viruses (n = 13), or influenza negative (n = 2) viruses. All influenza virus positive samples in this study were first subtyped by traditional laboratory methods, and later evaluated using the FluChip-8G Insight Assay (InDevR Inc. Boulder, CO) in laboratories at Duke University (USA) or at Duke Kunshan University (China). The FluChip-8G Insight multiplexed assay agreed with classical virologic techniques 59 (54.1%) of 109 influenza A-positive, 3 (100%) of the 3 influenza B-positive, 0 (0%) of 10 both influenza A- and B-positive samples, 75% of 24 environmental samples including those positive for H1, H3, H7, H9, N1, and N9 strains, and 80% of 22 avian influenza samples. It had difficulty with avian N6 types and swine H3 and N2 influenza specimens. The FluChip-8G Insight assay performed well with most human, environmental, and animal samples, but had some difficulty with samples containing multiple viral strains and with specific animal influenza strains. As classical virology methods are often iterative and can take weeks, the FluChip-8G Insight Assay rapid results (time range 8 to 12 h) offers considerable time savings. As the FluChip-8G analysis algorithm is expected to improve over time with addition of new subtypes and sample matrices, the FluChip-8G Insight Assay has considerable promise for rapid characterization of novel influenza viruses affecting humans or animals.

Entities:  

Keywords:  Clinical performance; Diagnostic validation; FluChip-8G insight assay; Influenza subtyping; Microarray; Multiplex RT-PCR

Year:  2021        PMID: 33731192      PMCID: PMC7967100          DOI: 10.1186/s40794-021-00133-7

Source DB:  PubMed          Journal:  Trop Dis Travel Med Vaccines        ISSN: 2055-0936


  17 in total

1.  Evidence for Cross-species Influenza A Virus Transmission Within Swine Farms, China: A One Health, Prospective Cohort Study.

Authors:  Mai-Juan Ma; Guo-Lin Wang; Benjamin D Anderson; Zhen-Qiang Bi; Bing Lu; Xian-Jun Wang; Chuang-Xin Wang; Shan-Hui Chen; Yan-Hua Qian; Shao-Xia Song; Min Li; John A Lednicky; Teng Zhao; Meng-Na Wu; Wu-Chun Cao; Gregory C Gray
Journal:  Clin Infect Dis       Date:  2018-02-01       Impact factor: 9.079

2.  Universal primer set for the full-length amplification of all influenza A viruses.

Authors:  E Hoffmann; J Stech; Y Guan; R G Webster; D R Perez
Journal:  Arch Virol       Date:  2001-12       Impact factor: 2.574

3.  Single-reaction genomic amplification accelerates sequencing and vaccine production for classical and Swine origin human influenza a viruses.

Authors:  Bin Zhou; Matthew E Donnelly; Derek T Scholes; Kirsten St George; Masato Hatta; Yoshihiro Kawaoka; David E Wentworth
Journal:  J Virol       Date:  2009-07-15       Impact factor: 5.103

Review 4.  Influenza A virus infections in swine: pathogenesis and diagnosis.

Authors:  B H Janke
Journal:  Vet Pathol       Date:  2013-12-20       Impact factor: 2.221

5.  Sensitivity of oral fluids for detecting influenza A virus in populations of vaccinated and non-vaccinated pigs.

Authors:  Anna Romagosa; Marie Gramer; Han Soo Joo; Montserrat Torremorell
Journal:  Influenza Other Respir Viruses       Date:  2011-07-21       Impact factor: 4.380

6.  Serological Evidence and Risk Factors for Swine Influenza Infections among Chinese Swine Workers in Guangdong Province.

Authors:  Mengmeng Ma; Benjamin D Anderson; Tao Wang; Yingan Chen; Dingmei Zhang; Gregory C Gray; Jiahai Lu
Journal:  PLoS One       Date:  2015-05-27       Impact factor: 3.240

Review 7.  Emerging infectious diseases in southeast Asia: regional challenges to control.

Authors:  Richard J Coker; Benjamin M Hunter; James W Rudge; Marco Liverani; Piya Hanvoravongchai
Journal:  Lancet       Date:  2011-01-25       Impact factor: 79.321

Review 8.  Towards a conceptual framework to support one-health research for policy on emerging zoonoses.

Authors:  Richard Coker; Jonathan Rushton; Sandra Mounier-Jack; Esron Karimuribo; Pascal Lutumba; Dominic Kambarage; Dirk U Pfeiffer; Katharina Stärk; Mark Rweyemamu
Journal:  Lancet Infect Dis       Date:  2011-03-02       Impact factor: 25.071

9.  Host range and emerging and reemerging pathogens.

Authors:  Mark E J Woolhouse; Sonya Gowtage-Sequeria
Journal:  Emerg Infect Dis       Date:  2005-12       Impact factor: 6.883

10.  High Risk of Influenza Virus Infection Among Swine Workers: Examining a Dynamic Cohort in China.

Authors:  Laura K Borkenhagen; Guo-Lin Wang; Ryan A Simmons; Zhen-Qiang Bi; Bing Lu; Xian-Jun Wang; Chuang-Xin Wang; Shan-Hui Chen; Shao-Xia Song; Min Li; Teng Zhao; Meng-Na Wu; Lawrence P Park; Wu-Chun Cao; Mai-Juan Ma; Gregory C Gray
Journal:  Clin Infect Dis       Date:  2020-07-27       Impact factor: 9.079

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