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Record W4229059847 · doi:10.1101/2022.05.04.490709

Antigenic characterization and pandemic risk assessment of North American H1 influenza A viruses circulating in swine

2022· preprint· en· W4229059847 on OpenAlexfundno aff
Divya Venkatesh, Tavis K. Anderson, J. Brian Kimble, Jennifer Chang, Sara Lopes, Carine K. Souza, Andrew Pekosz, Kathryn Shaw‐Saliba, Richard E. Rothman, Kuan‐Fu Chen, Nicola S. Lewis, Amy L. Vincent Baker

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersAgricultural Research ServiceCenters for Disease Control and PreventionUniversity of SaskatchewanIcahn School of Medicine at Mount SinaiU.S. Department of Agriculture
KeywordsVirologyBiologyPandemicVirusH5N1 genetic structureAntigenic driftHemagglutination assayAntigenLineage (genetic)Influenza A virusPopulationTiterStrain (injury)GeneticsGeneCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)DiseaseMedicine

Abstract

fetched live from OpenAlex

Abstract The first pandemic of the 21st century was caused by an H1N1 influenza A virus (IAV) introduced from pigs into humans, highlighting the importance of swine as reservoirs for pandemic viruses. Two major lineages of swine H1 circulate in North America: the 1A classical swine lineage (including the 2009 pandemic H1N1) and 1B human seasonal-like lineage. Here, we investigated the evolution of these H1 IAV lineages in North American swine and their potential pandemic risk. We assessed the antigenic distance between the HA of representative swine H1 and human seasonal vaccine strains (1978-2015) in hemagglutination inhibition (HI) assays using a panel of monovalent anti-sera raised in pigs. Antigenic cross-reactivity varied by strain but was associated with genetic distance. Generally, swine 1A lineage viruses that seeded the 2009 H1 pandemic were antigenically most similar to H1 pandemic vaccine strains, with the exception of viruses in the genetic clade 1A.1.1.3 that had a two-amino acid deletion mutation near the receptor-binding site, dramatically reducing antibody recognition. The swine 1B lineage strains, which arose from previously circulating (pre-2009 pandemic) human seasonal viruses, were more antigenically similar to pre-2009 human seasonal H1 vaccine viruses than post-2009 strains. Human population immunity was measured by cross-reactivity in HI assays to representative swine H1 strains. There was a broad range of titers against each swine strain that was not associated with age, sex, or location. However, there was almost no cross-reactivity in human sera to the 1A.1.1.3 and 1B.2.1 genetic clades of swine viruses, and the 1A.1.1.3 and 1B.2.1 clades were also the most antigenically distant from all human vaccine strains. Our data demonstrate that antigenic distances of representative swine strains from human vaccine strains represent a rational assessment of swine IAV for zoonotic risk research and pandemic preparedness prioritization. Importance Human H1 influenza A viruses (IAV) spread to pigs in North America, resulting in sustained circulation of two major groups of H1 viruses in swine. We quantified the genetic diversity of H1 in swine and measured antigenic phenotypes. We demonstrated that swine H1 lineages were significantly different from human vaccine strains and this antigenic dissimilarity increased over time as the viruses evolved in swine. Pandemic preparedness vaccine strains for human vaccines also demonstrated a loss in similarity with contemporary swine strains. Human sera revealed a range of responses to swine IAV, including two groups of viruses with little to no immunity. Surveillance and risk assessment of IAV diversity in pig populations are essential to detect strains with reduced immunity in humans, providing critical information for pandemic preparedness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.051
GPT teacher head0.341
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2022
Admission routes1
Has abstractyes

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