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Record W4389029940 · doi:10.1093/ofid/ofad500.2253

2641. Nirsevimab binding-site conservation in RSV F protein between 2015 and 2022: The US OUTSMART-RSV surveillance study

2023· article· en· W4389029940 on OpenAlexaboutno aff
Christopher Morehouse, Bahar Ahani, Anastasia A. Aksyuk, Tyler Brady, Kevin M. Tuffy, Hong Ji, Elizabeth J. Kelly, Deidre Wilkins

Bibliographic record

VenueOpen Forum Infectious Diseases · 2023
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSubtypingVirologyHypervariable regionVirusAntibodyImmunology

Abstract

fetched live from OpenAlex

Abstract Background Nirsevimab is an extended half-life monoclonal antibody that binds the prefusion conformation of RSV fusion (F) protein and has been approved for the prevention of respiratory syncytial virus (RSV) lower respiratory tract disease in neonates and infants in the EU, Great Britain, and Canada. Global surveillance studies found that the nirsevimab binding site was highly conserved across RSV variants between 1956–2021. While RSV B F protein binding site substitutions I206M and Q209R have dominated since the 2017/2018 RSV season, both remain fully susceptible to nirsevimab. OUTSMART-RSV is a multi-year (from 2015) prospective molecular surveillance study to monitor the prevalence and distribution of RSV variants in the USA and track the emergence and susceptibility of RSV F variants to nirsevimab. Methods Nasal swabs were collected from infants and adults seeking medical attention for respiratory infection (inpatient or outpatient); RSV-positive isolates underwent next generation sequencing. Subtyping comprised analysis of the hypervariable region of the G protein. F protein polymorphisms were identified by comparing with RSV A and B reference sequences; variants with increasing prevalence were phenotypically evaluated using reverse genetics rescue and in vitro microneutralization assays. Results RSV A and B subtypes circulated with alternate frequency during OUTSMART-RSV (Figure 1), with RSV B dominant in the 2021/2022 RSV season (sequence count 509 vs 46 for RSV A; Table 1). From 2020, several additional RSV B F protein substitutions have increased in prevalence, including the S211N binding site substitution. Importantly, S211N retains full susceptibility to nirsevimab (IC50 fold change = 1.24 vs reference). Also, no new nirsevimab binding site substitutions were seen in the 2021/2022 RSV season vs previous seasons. Conclusion While I206M and Q209R substitutions in RSV B F protein continue to dominate, the S211N nirsevimab binding site substitution has increased in prevalence since the 2020-2021 season. However, similar to I206M and Q209R, S211N variants remain fully susceptible to nirsevimab. Among recent circulating RSV strains, the frequency of emergent nirsevimab escape variants continue to be rare and not persistent. Disclosures Christopher A. Morehouse, MS, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Bahar Ahani, BSC, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Anastasia A. Aksyuk, PhD, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Tyler Brady, MS, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Kevin M. Tuffy, MS, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Hong Ji, MS, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Elizabeth J. Kelly, PhD, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds Deidre Wilkins, BSC, AstraZeneca: Employee|AstraZeneca: Stocks/Bonds

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)0.001
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 score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.374
Teacher spread0.333 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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