Evidence map›Paper›PMID 39635219›Full record

ArticleFrontiers in public health2024

Epidemiological and genetic characterization of the influenza A (H1N1) virus in Hangzhou City in 2023.

Ningning Wang, Wei Lu, Li Yan, Mengru Liu, Feihu Che, Yue Wang, Chunli Yang, Mengyu Lv, Jun Cheng, Qingyang Sun and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. PA and PA-X: two key proteins from segment 3 of the influenza viruses.Frontiers in cellular and infection microbiology · 2025
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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

11 authors.

Ningning Wang *School of Laboratory Medicine, Bengbu Medical University, Bengbu, China.
Wei Lu *Quality Control Division, The 903rd Hospital of PLA, Hangzhou, China.
Li Yan *Military Casualty Management Section, The 903rd Hospital of PLA, Hangzhou, China.
Mengru LiuSchool of Laboratory Medicine, Bengbu Medical University, Bengbu, China.
Feihu CheDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.
Yue WangDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.
Chunli YangDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.
Mengyu LvDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.
Jun ChengDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.
Qingyang SunDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.
Yuzhu DaiDepartment of Clinical Research, The 903rd Hospital of PLA, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore and describe the epidemiological and genetic variation characteristics of the influenza A (H1N1) virus in Hangzhou City. Methods: Respiratory throat swab specimens collected from the fever clinic of the 903rd Hospital of the Chinese People's Liberation Army (PLA) between January and March 2023 were collected. The respiratory pathogen antigens were identified using the colloidal gold method, and those testing positive for influenza A virus antigens were confirmed and subtyped by RT-qPCR. Seventeen H1N1 isolates were selected to amplify hemagglutinin (HA) and neuraminidase (NA) gene sequences via RT-PCR, and sequencing was completed following the identification of the amplified products. The sequenced HA and NA sequences were spliced using DNASTAR software (version 5.0), and a phylogenetic tree was constructed using MEGA software (version 11.0) for genetic characterization. Results: A total of 2,376 respiratory samples were tested, with 680 cases testing positive for influenza A. Of these, 129 positive cases of influenza A were randomly selected for typing, resulting in the isolation of 112 H1N1 subtypes and 17 H3N2 subtypes. The HA genes of 17 strains of influenza A (H1N1) were randomly selected for amino acid homology comparisons with two vaccine strains recommended by the WHO for 2023 (A/Wisconsin/67/2022 (H1N1) and A/Victoria/4897/2022 (H1N1)). The HA gene results showed identities of 98.24 to 98.65% and 98.41 to 98.82%, respectively, and the NA gene results were 98.79 to 99.15% and 98.94 to 99.29%, respectively. Fourteen amino acid sites were altered in the HA gene of the 17 strains, with some strains contributing to the Sa and Ca antigenic determinants, respectively. Seventeen strains had mutations in the NA gene at sites 13, 50, 200, 339, 382, and 469. The sequenced strains, vaccine strains, and some 2023 domestic representative strains independently formed a branch 6B.1A.5a.2a. Conclusion: The continuous evolutionary mutations of the H1N1 virus genes in Hangzhou City suggest the possibility of the virus escaping from the immune response. This study provides an experimental basis for evaluating the protective effect of the vaccine and formulating preventive measures against influenza in Hangzhou City.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza, HumanPhylogenyAdolescentAdultChinaFemaleGenetic VariationHemagglutinin Glycoproteins, Influenza VirusHumansMaleMiddle AgedNeuraminidaseYoung AdultHemagglutinin Glycoproteins, Influenza VirusNeuraminidaseepidemiologyevolutiongenetic characterizationH1N1influenza A virus

Identifiers

PMID39635219
PMCPMC11614803

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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.