Evidence map›Paper›PMID 42852125›Full record

ReviewFrontiers in microbiology2026

Influenza virus research in an era of emerging respiratory threats: host-virus interactions, surveillance technologies, antiviral management and resistance, and vaccine preparedness.

Mengnan Hu, Lei Liu, Guangli Yan, Le Yang, Guimin Zhang, Ling Kong, Yu Guan, Hui Sun, Yongxia Guan, Chang Liu and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Mengnan HuState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Lei LiuState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Guangli YanState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Le YangState Key Laboratory of Dampness Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guimin ZhangState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, China.
Ling KongState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Yu GuanState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Hui SunState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Yongxia GuanState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, China.
Chang LiuState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Ye SunState Key Laboratory of Dampness Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ying HanState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.
Xijun WangState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal epidemics, zoonotic spillover, antiviral resistance, and pandemic risk continue to make influenza a major challenge for respiratory preparedness. The recent spread of highly pathogenic avian influenza A(H5N1) in mammalian hosts has made it increasingly important to consider molecular adaptation, surveillance, treatment, and vaccination as connected parts of preparedness rather than as separate issues. This review focuses on four interconnected areas: host-virus interactions, surveillance technologies, antiviral management and resistance, and vaccine preparedness. Evidence on mammalian adaptation includes receptor specificity, viral polymerase-host factor compatibility, innate immune antagonism, ANP32 proteins, and aberrant viral RNA generation, while surveillance has expanded to multiplex and CRISPR-based assays, point-of-care platforms, genomic sequencing, artificial intelligence-assisted risk assessment, and environmental monitoring. These approaches differ in intended use and stage of validation. Antiviral benefit depends strongly on host risk and treatment timing. Resistance-associated substitutions, however, cannot be interpreted from sequence data alone and require phenotypic and epidemiological context. Vaccine development spans nanoparticle, mRNA, and intranasal platforms designed to broaden antigenic coverage, strengthen mucosal immunity, or improve protection in specific populations. Better analytical performance and stronger immune responses do not by themselves demonstrate reductions in severe disease, hospitalization, or mortality. Influenza preparedness ultimately depends on how effectively these four domains inform one another and how consistently emerging approaches are evaluated against clinically meaningful outcomes.

Indexed as

antiviral resistanceemerging respiratory threatshost–virus interactionsinfluenza virussurveillance technologiesvaccine preparedness

Identifiers

PMID42852125
PMCPMC13649054

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.