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Record W1954283432 · doi:10.1139/o11-072

Bovine lactoferrin: involvement of metal saturation and carbohydrates in the inhibition of influenza virus infection<sup>1</sup>This article is part of a Special Issue entitled Lactoferrin and has undergone the Journal's usual peer review process.

2012· article· en· W1954283432 on OpenAlexvenueno aff
Agostina Pietrantoni, Maria Grazia Ammendolia, Fabiana Superti

Bibliographic record

VenueBiochemistry and Cell Biology · 2012
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsnot available
FundersIstituto Superiore di SanitàMinistero della Salute
KeywordsLactoferrinVirusVirologyMicrobiologyCytopathic effectInfluenza A virusBiologyBiochemistry

Abstract

fetched live from OpenAlex

Influenza is a highly contagious, acute respiratory illness, which represents one of the main plagues worldwide. Even though some antiviral drugs are available, the alarming increase of virus strains resistant to them highlights the need to find new antiviral compounds. As we have recently demonstrated that bovine lactoferrin (bLf) prevents influenza virus-induced apoptosis, in the present wor,k we have attempted to investigate in depth the mechanism of the anti-influenza virus effect of this protein. To this aim, experiments have been carried out whereby different forms of bLf were added to the cells during different phases of viral infection. Results obtained showed that bLf was able to prevent influenza virus cytopathic effects when incubated with the cells after the adsorption step, independently from ion saturation or carbohydrate content. Moreover, the influence of iron saturations or sialic acid/carbohydrates removal on bLf activity on the early phases of infection has been observed. Our results provide further insights on the antiviral activity of bLf and suggest novel strategies for treatment of influenza virus infection.

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)0.001
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 score0.106
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.042
GPT teacher head0.319
Teacher spread0.276 · 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

Citations37
Published2012
Admission routes1
Has abstractyes

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