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Record W4408098247 · doi:10.1186/s13567-025-01465-4

Piggybacking on nature: exploring the multifaceted world of porcine β-defensins

2025· review· en· W4408098247 on OpenAlex
Arthur Nery Finatto, François Meurens, Matheus de Oliveira Costa

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueVeterinary Research · 2025
Typereview
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsUniversité de MontréalUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Agriculture - Saskatchewan
KeywordsBiologyInnate immune systemComputational biologyClinical trialAntimicrobialAntimicrobial peptidesImmune systemImmunologyBioinformaticsMicrobiology

Abstract

fetched live from OpenAlex

Porcine β-defensins (pBDs) are cationic peptides that are classically associated with the innate immune system. These molecules yield both antimicrobial and immunomodulatory properties, as evidenced by various in vitro and animal trials. Researchers have revealed that enhancing pBD expression can be achieved through dietary components and gene editing techniques in pigs and porcine cell models. This state-of-the-art review aims to encapsulate the pivotal findings and progress made in the field of pBD over recent decades, with a specific emphasis on the biological role of pBD in infection control and its usage in clinical trials, thereby offering a new landscape of opportunities for research aimed at identifying prophylactic and therapeutic alternatives for both swine medicine and translational purposes.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.004
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 head0.314
GPT teacher head0.447
Teacher spread0.133 · 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