Assessment of rat polyclonal antisera’s suitability in hemagglutination inhibition assay for influenza surveillance and antigenic mapping
•Rat influenza antisera are easier to produce and lower cost than ferret antisera.•Rat influenza antisera can effectively replace ferret antisera in HI assay.•Confusion matrix & ROC analysis confirm validity of using rat influenza antisera.•Rat influenza antisera enable robust HI assay data.•Rat...
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Published in: | Journal of virological methods Vol. 293; p. 114170 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Netherlands
Elsevier B.V
01-07-2021
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Subjects: | |
Online Access: | Get full text |
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Summary: | •Rat influenza antisera are easier to produce and lower cost than ferret antisera.•Rat influenza antisera can effectively replace ferret antisera in HI assay.•Confusion matrix & ROC analysis confirm validity of using rat influenza antisera.•Rat influenza antisera enable robust HI assay data.•Rat influenza antisera show better discrimination than ferret antisera.
This paper presents comparative hemagglutination inhibition (HI) assay data obtained using ferret or rat antisera to analyze influenza viruses. The results indicate that rat antisera can be successfully applied both for identification and for antigenic analysis of human influenza A and B viruses. Data gained with rat antisera were comparable to those obtained with ferret antisera. In-depth statistical analysis, based on Confusion Matrix analysis and Receiver Operating Characteristic (ROC) analysis, confirmed good coincidence between ferret antisera-based and rat antisera-based results. Two-dimensional antigenic mapping, based on HI assays using rat and ferret antisera, supported these findings. Both antisera types yielded identical antigenic attributions for the viruses analyzed, and both permitted visualization of contemporary human influenza virus evolutionary trends. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0166-0934 1879-0984 |
DOI: | 10.1016/j.jviromet.2021.114170 |