# Kinetic MUNANA assay reveals functionally relevant antibody epitopes on Influenza A virus neuraminidase

**Authors:** Ilya V. Smirnov, Danica F. Besavilla, Karin Schön, Hannes Axelsson, Davide Angeletti

PMC · DOI: 10.1038/s44298-025-00123-y · npj Viruses · 2025-05-10

## TL;DR

A new assay helps identify antibodies that target important sites on the flu virus's neuraminidase enzyme.

## Contribution

The kinetic MUNANA assay is introduced to identify functionally relevant antibody epitopes on influenza A virus neuraminidase.

## Key findings

- The assay identifies monoclonal antibodies that inhibit neuraminidase through distinct mechanisms.
- mAbs affecting enzymatic parameters are more likely to lead to escape mutants with reduced viral activity.
- A web-based tool was developed to process and analyze assay results efficiently.

## Abstract

Influenza A virus neuraminidase (NA) is drawing attention as a target for vaccine development. In this study, we propose kinetic MUNANA assay as a tool to identify monoclonal antibodies (mAbs) that specifically target functional epitopes on NA. By analyzing changes in the parameters of the Michaelis-Menten curve (Km and Vmax), we revealed distinct mechanisms of Ab-mediated inhibition. Additionally, we developed a web-based application facilitating efficient processing of the assay results and enabling statistical inference. We employed the kinetic MUNANA assay to test newly developed mAbs targeting NA of the widely used PR8 H1N1 strain. Among these, mAbs with strong effect on NA enzymatic parameters were more likely to select for escape mutants that had a substantial impact on the overall enzymatic activity of the virus. In summary, when combined with ELLA, kinetic MUNANA is a rapid method to profile the putative binding site and the effect of NA-specific mAbs.

## Full-text entities

- **Genes:** NEU1 (neuraminidase 1) [NCBI Gene 4758] {aka NANH, NEU, SIAL1}
- **Species:** H1N1 subtype (serotype) [taxon 114727], Influenza A virus (no rank) [taxon 11320]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12065816/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC12065816/full.md

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Source: https://tomesphere.com/paper/PMC12065816