Evidence map›Paper›PMID 41575943›Full record

ArticlePLoS pathogens2026

Intra-patient neuraminidase mutations in avian H5N1 influenza virus reduce sialidase activity to complement weaker hemagglutinin binding and facilitate human infection.

Yohei Watanabe, Madiha S Ibrahim, Yasuha Arai, Daisuke Kuroda, Emad M Elgendy, Shin-Ichi Nakakita, Yohei Takeda, Vuong Nghia Bui, Takao Ono, Shota Ushiba and 6 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yohei WatanabeDepartment of Virology, The JIKEI University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8305-6952
Madiha S IbrahimDepartment of Virology, Faculty of Veterinary Medicine, Damanhour University, Damanhour, Egypt.
Yasuha AraiDepartment of Infectious Diseases, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Daisuke KurodaDepartment of Biosciences, College of Humanities and Sciences, Nihon University, Tokyo, Japan.
Emad M ElgendyDepartment of Virology, Faculty of Veterinary Medicine, Damanhour University, Damanhour, Egypt.
Shin-Ichi NakakitaDivision of Functional Glycomics, Kagawa University, Kagawa, Japan.
Yohei TakedaDepartment of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Vuong Nghia BuiVirology Department, National Institute of Veterinary Research, Hanoi, Vietnam.
Takao OnoDepartment of Mechanical Science and Bioengineering, Graduate School of Engineering Science, The University of Osaka, Osaka, Japan.
Shota UshibaMurata Manufacturing Co., Ltd, Kyoto, Japan.
Tomo DaidojiDepartment of Infectious Diseases, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Nongluk SriwilaijaroenDepartment of Preclinical Sciences, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Haruko OgawaDepartment of Veterinary Medicine, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Kazuhiko MatsumotoSANKEN, The University of Osaka, Osaka, Japan.
Yasuo SuzukiDepartment of Biochemistry, School of Pharmaceutical Sciences, University of Shizuoka, Japan.
Takaaki NakayaDepartment of Infectious Diseases, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clade 2.2 H5N1 influenza viruses have caused an unusually high number of human infections, providing a unique opportunity to investigate early molecular steps associated with host adaptation. Although most work has focused on hemagglutinin (HA), the contribution of neuraminidase (NA) to these early adaptive events has remained unclear. By analyzing publicly available sequences from clade 2.2-infected patients, we identified 20 NA mutations and compared their phenotypes to 20 mutations acquired during diversification in primary human airway cells under drug-free conditions. Most patient-derived NA mutations resulted in modest reductions in sialidase activity, keeping activity within a functional range that supported improved replication in α2,6 sialylglycan (α2,6 Sia)-dominant environments, whereas excessive reduction impaired fitness. Notably, the phenotypes of culture-selected and patient-derived mutations were highly concordant, suggesting that these NA changes arose through natural selection rather than antiviral pressure. Re-analysis of patient sequences further revealed that many adaptive NA mutations co-occur with HA mutations that confer only weak, partial α2,6 Sia binding. Using reverse genetics, we found that such naturally occurring HA/NA mutation pairs acted cooperatively in a receptor-context-dependent manner to support α2,6-associated replication relative to HA-only mutants, placing these variants within a constrained "early-adaptation space" characterized by limited α2,6 engagement and moderately reduced NA activity. Together, these findings indicate that early human adaptation of clade 2.2 H5N1 involves not only HA and PB2, but also incremental, cooperative tuning of NA function. Monitoring coordinated HA-NA evolution may therefore improve risk assessment frameworks for zoonotic influenza viruses poised at early stages of human host adaptation.

Indexed as

Hemagglutinin Glycoproteins, Influenza VirusInfluenza A Virus, H5N1 SubtypeInfluenza, HumanMutationNeuraminidaseViral ProteinsAnimalsHumansVirus ReplicationHemagglutinin Glycoproteins, Influenza VirusNeuraminidaseViral Proteins

Identifiers

PMID41575943
PMCPMC12829795

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.