Evidence map›Paper›PMID 41941926›Full record

ArticleTumour virus research2026

Susceptibility of naturally human papillomavirus type 16 major capsid protein L1 variants to vaccines and predictions of future evolutionary trends.

Dongbo Yu, Jiao Wang, Ying Li, Hui Wang, Jieqiong Zhang, Mingming Wang, Haotian Li, Li Zhang, Na Zhu, Xuexin Lu and 1 more

Abstract read
In one paragraph

Article in Tumour virus research, 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

11 authors.

Dongbo YuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Jiao WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Ying LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Hui WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Jieqiong ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Mingming WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Haotian LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Li ZhangDepartment of Gynecology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Beijing, 100026, China
Na ZhuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Xuexin LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China
Shiwen WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, 102206, China

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus type 16 (HPV16) causes over 50% of HPV-related cervical cancers. With the widespread use of virus-like particle (VLP)-based HPV prophylactic vaccines, investigating the differences in viral assembly, infectivity and antigenic properties among different variants is highly important for further eliminating diseases caused by HPV. We analyzed HPV16 L1 protein sequences from the NCBI database and identified 14 representative clusters. Pseudovirus (PsV) formation, infectivity, and susceptibility to vaccines were assessed for these variants, and molecular dynamics (MD) simulations and modified enzyme-linked immunosorbent assays (ELISAs) were ultimately employed to investigate the underlying mechanisms. The sequence identical to P03101 in the UniProt database served as the reference (P16_WT). Among the 13 variants, five presented reduced PsV packaging efficiency to varying degrees, which correlated with diminished L1 protein expression. Compared with P16_WT, the remaining eight variants successfully produced infectious PsVs with high titers and exhibited equivalent infectivity in epithelial cells. Neutralization assays revealed that four variants demonstrated varying levels of decreased susceptibility to vaccines; notably, P16_5 and P16_13 exhibited significantly reduced sensitivity to all three vaccines. MD simulation and modified ELISA indicated that this reduction results from the unstable binding interactions between the L1 variants and the antibodies. Importantly, key residues in these less susceptible variants, such as P16_5 and P16_13, were under positive selection prior to the commercialization of these vaccines. Our findings demonstrated that a significant proportion of globally circulating HPV16 L1 variants currently display diminished susceptibility to available vaccines. Consequently, ongoing surveillance of HPV variants is imperative.

Indexed as

Capsid ProteinsHuman papillomavirus 16Oncogene Proteins, ViralPapillomavirus InfectionsPapillomavirus VaccinesAntibodies, ViralEnzyme-Linked Immunosorbent AssayEvolution, MolecularFemaleGenetic VariationHumansMolecular Dynamics SimulationProtein Subunit VaccinesVaccines, Virus-Like ParticleAntibodies, ViralCapsid ProteinsL1 protein, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus VaccinesProtein Subunit VaccinesVaccines, Virus-Like ParticleHuman papillomavirus type 16Major capsid proteinNeutralizationPseudovirusVariant

Identifiers

PMID41941926
PMCPMC13091289

What OpenQuestion holds

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LicenceCC BY
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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.