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FluChip-8G Insight: HA and NA subtyping of potentially pandemic influenza A viruses in a single assay.
Toth, Evan; Dawson, Erica D; Taylor, Amber W; Stoughton, Robert S; Blair, Rebecca H; Johnson, James E; Slinskey, Amelia; Fessler, Ryan; Smith, Catherine B; Talbot, Sarah; Rowlen, Kathy.
Affiliation
  • Toth E; InDevR, Inc., Boulder, CO, USA.
  • Dawson ED; InDevR, Inc., Boulder, CO, USA.
  • Taylor AW; InDevR, Inc., Boulder, CO, USA.
  • Stoughton RS; InDevR, Inc., Boulder, CO, USA.
  • Blair RH; InDevR, Inc., Boulder, CO, USA.
  • Johnson JE; InDevR, Inc., Boulder, CO, USA.
  • Slinskey A; InDevR, Inc., Boulder, CO, USA.
  • Fessler R; InDevR, Inc., Boulder, CO, USA.
  • Smith CB; Influenza Division, the Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Talbot S; Influenza Division, the Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Rowlen K; InDevR, Inc., Boulder, CO, USA.
Influenza Other Respir Viruses ; 14(1): 55-60, 2020 01.
Article in En | MEDLINE | ID: mdl-31608599
ABSTRACT

BACKGROUND:

Global influenza surveillance in humans and animals is a critical component of pandemic preparedness. The FluChip-8G Insight assay was developed to subtype both seasonal and potentially pandemic influenza viruses in a single assay with a same day result. FluChip-8G Insight uses whole gene segment RT-PCR-based amplification to provide robustness against genetic drift and subsequent microarray detection with artificial neural network-based data interpretation.

OBJECTIVES:

The objective of this study was to verify and validate the performance of the FluChip-8G Insight assay for the detection and positive identification of human and animal origin non-seasonal influenza A specimens.

METHODS:

We evaluated the ability of the FluChip-8G Insight technology to type and HA and NA subtype a sample set consisting of 297 results from 180 unique non-seasonal influenza A strains (49 unique subtypes).

RESULTS:

FluChip-8G Insight demonstrated a positive percent agreement ≥93% for 5 targeted HA and 5 targeted NA subtypes except for H9 (88%), and negative percent agreement exceeding 95% for all targeted subtypes.

CONCLUSIONS:

The FluChip-8G Insight neural network-based algorithm used for virus identification performed well over a data set of 297 naïve sample results, and can be easily updated to improve performance on emerging strains without changing the underlying assay chemistry.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Influenza A virus / Viral Proteins / Hemagglutinin Glycoproteins, Influenza Virus / Reverse Transcriptase Polymerase Chain Reaction / Influenza, Human / Neuraminidase Type of study: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Influenza Other Respir Viruses Journal subject: VIROLOGIA Year: 2020 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Influenza A virus / Viral Proteins / Hemagglutinin Glycoproteins, Influenza Virus / Reverse Transcriptase Polymerase Chain Reaction / Influenza, Human / Neuraminidase Type of study: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Influenza Other Respir Viruses Journal subject: VIROLOGIA Year: 2020 Document type: Article Affiliation country: Estados Unidos