MétaCan
Menu
Back to cohort
Record W4416535322 · doi:10.1038/s41541-025-01316-5

Electroporation and LNP-mediated delivery of plasmid DNA-encoded H5N1 influenza virus hemagglutinin support protection against highly pathogenic avian influenza

2025· article· en· W4416535322 on OpenAlexaff
E. Gary, Nicholas J. Tursi, Casey E. Hojecki, Robert Vendramelli, Bryce M. Warner, Thang Truong, Sachchidanand Tiwari, Norbert Pardi, Darwyn Kobasa, David B. Weiner

Bibliographic record

Venuenpj Vaccines · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsPublic Health Agency of Canada
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteNational Institutes of Health
KeywordsInfluenza A virus subtype H5N1Hemagglutinin (influenza)PlasmidDNA vaccinationCladeElectroporationAntigenAntigenic driftVirusInfluenza A virus

Abstract

fetched live from OpenAlex

Highly pathogenic avian influenzas (HPAIs) is a continuing public health threat. Here, we describe the development of plasmid-encoded H5N1 hemagglutinin antigens representing clades that have caused human zoonoses. Electroporation (EP) delivery of clade 2.3.2.1c HA (pCamb) DNA was immunogenic in mice but only partially protective against clade 2.3.4.b challenge. Homologous challenge resulted in complete protection, suggesting that matched clade antigens are important for protection. Contemporary clade 2.3.4.4b HA (pMich) DNA plasmids supported robust cellular and humoral responses when delivered via EP. Co-immunization with plasmids representing both H5 clades supported high titers of binding and neutralizing antibodies against both antigens and complete protection from clade 2.3.4.4b challenge. We formulated the pMich plasmid DNA in lipid nanoparticles (LNPs). A single dose of pMich DNA-LNP supported long-lived immunity in mice that was protective against challenge at both acute and memory timepoints. These data demonstrate that DNA can support robust anti-HPAI immunity and protection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.279
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuenpj VaccinesSame topicMicrobial Inactivation MethodsFrench-language works237,207