Literature DB >> 28499086

Rapid Diagnostic Assay for Intact Influenza Virus Using a High Affinity Hemagglutinin Binding Protein.

Caitlin E Anderson1, Carly A Holstein1, Eva-Maria Strauch2, Steven Bennett1, Aaron Chevalier1,2, Jorgen Nelson2, Elain Fu3, David Baker2, Paul Yager1.   

Abstract

Influenza is a ubiquitous and recurring infection that results in approximately 500 000 deaths globally each year. Commercially available rapid diagnostic tests are based upon detection of the influenza nucleoprotein, which are limited in that they are unable to differentiate by species and require an additional viral lysis step. Sample preprocessing can be minimized or eliminated by targeting the intact influenza virus, thereby reducing assay complexity and leveraging the large number of hemagglutinin proteins on the surface of each virus. Here, we report the development of a paper-based influenza assay that targets the hemagglutinin protein; the assay employs a combination of antibodies and novel computationally designed, recombinant affinity proteins as the capture and detection agents. This system leverages the customizability of recombinant protein design to target the conserved receptor-binding pocket of the hemagglutinin protein and to match the trimeric nature of hemagglutinin for improved avidity. Using this assay, we demonstrate the first instance of intact influenza virus detection using a combination of antibody and affinity proteins within a porous network. The recombinant head region binder based assays yield superior analytical sensitivity as compared to the antibody based assay, with lower limits of detection of 3.54 × 107 and 1.34 × 107 CEID50/mL for the mixed and all binder stacks, respectively. Not only does this work describe the development of a novel influenza assay, it also demonstrates the power of recombinant affinity proteins for use in rapid diagnostic assays.

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Year:  2017        PMID: 28499086     DOI: 10.1021/acs.analchem.7b00769

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

1.  An integrated device for the rapid and sensitive detection of the influenza hemagglutinin.

Authors:  Caitlin E Anderson; Joshua R Buser; Alexis M Fleming; Eva-Maria Strauch; Paula D Ladd; Janet Englund; David Baker; Paul Yager
Journal:  Lab Chip       Date:  2019-02-26       Impact factor: 6.799

2.  Rapid and Sensitive Detection of Antigen from SARS-CoV-2 Variants of Concern by a Multivalent Minibinder-Functionalized Nanomechanical Sensor.

Authors:  Dilip Kumar Agarwal; Andrew C Hunt; Gajendra S Shekhawat; Lauren Carter; Sidney Chan; Kejia Wu; Longxing Cao; David Baker; Ramon Lorenzo-Redondo; Egon A Ozer; Lacy M Simons; Judd F Hultquist; Michael C Jewett; Vinayak P Dravid
Journal:  Anal Chem       Date:  2022-06-02       Impact factor: 8.008

Review 3.  A comprehensive review on plasmonic-based biosensors used in viral diagnostics.

Authors:  Anand M Shrivastav; Uroš Cvelbar; Ibrahim Abdulhalim
Journal:  Commun Biol       Date:  2021-01-15

4.  SERS-Based Colloidal Aptasensors for Quantitative Determination of Influenza Virus.

Authors:  Dmitry Gribanyov; Gleb Zhdanov; Andrei Olenin; Georgii Lisichkin; Alexandra Gambaryan; Vladimir Kukushkin; Elena Zavyalova
Journal:  Int J Mol Sci       Date:  2021-02-12       Impact factor: 5.923

5.  Dual Detection of Hemagglutinin Proteins of H5N1 and H1N1 Influenza Viruses Based on FRET Combined With DNase I.

Authors:  Zhiyun Wang; Qiuzi Zhao; Mengqian Huang; Yuqin Duan; Feifei Li; Tao Wang
Journal:  Front Microbiol       Date:  2022-06-30       Impact factor: 6.064

6.  Upconversion Fluorescence Resonance Energy Transfer Aptasensors for H5N1 Influenza Virus Detection.

Authors:  Qiuzi Zhao; Ping Du; Xiaoyong Wang; Mengqian Huang; Ling-Dong Sun; Tao Wang; Zhiyun Wang
Journal:  ACS Omega       Date:  2021-06-04

Review 7.  Detection Methods of Human and Animal Influenza Virus-Current Trends.

Authors:  Karolina Dziąbowska; Elżbieta Czaczyk; Dawid Nidzworski
Journal:  Biosensors (Basel)       Date:  2018-10-18

8.  Development of a Nanoparticle-based Lateral Flow Strip Biosensor for Visual Detection of Whole Nervous Necrosis Virus Particles.

Authors:  Dimitra K Toubanaki; Maritsa Margaroni; Athanasios Prapas; Evdokia Karagouni
Journal:  Sci Rep       Date:  2020-04-16       Impact factor: 4.379

  8 in total

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