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Record W4411448232 · doi:10.1183/23120541.00028-2025

Ciliated epithelial cell differentiation at air–liquid interface and respiratory syncytial virus infection using animal-free media and substrates

2025· article· en· W4411448232 on OpenAlexaff
Machaela Palor, Elizabeth Haughey, Jenny Herbert, Christopher O’Callaghan, Rosalind L. Smyth, Paolo De Coppi, Robert E. Hynds, Claire M. Smith

Bibliographic record

VenueERJ Open Research · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsInstitute of Infection and Immunity
FundersBiotechnology and Biological Sciences Research CouncilAnimal Free Research UK
KeywordsExtracellular matrixCell biologyCell cultureMatrix (chemical analysis)In vitroCellMedicineImmunologyBiologyVirologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

Background: Animal-derived components in cell culture, such as fetal bovine serum and extracellular matrix proteins, pose ethical concerns and contribute to variability in experimental outcomes. This study explores the use of animal-free cell culture media and substrates to support the growth and differentiation of primary human bronchial epithelial cells, as well as their infection by respiratory syncytial virus (RSV). Methods: We evaluated the performance of jellyfish collagen 0 and recombinant extracellular matrix proteins as alternatives to traditional mammalian substrates. Additionally, we assessed the use of animal-free medium and human serum (HS) in viral propagation using HEp2 cells. Results: The use of animal-free medium, matrix proteins and HS can support primary epithelial cell growth and differentiation with high levels of ciliation and barrier integrity. RSV propagation in animal-free medium produced an increase in viral titres, indicating the potential of these systems for antiviral research. Conclusion: Transitioning to include more animal-free medium and substrates for primary cell culture and viral propagation will help improve the ethical standing of research and offer more human-relevant models for studying viral diseases in the future.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.163
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.142
GPT teacher head0.449
Teacher spread0.307 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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