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Record W3018554251 · doi:10.1139/bcb-2020-0035

Antiviral effects of bovine lactoferrin on human norovirus

2020· article· en· W3018554251 on OpenAlexvenueno aff
Hirotsugu Oda, Abimbola O. Kolawole, Carmen Mirabelli, Hiroyuki Wakabayashi, Miyuki Tanaka, Koji Yamauchi, Fumiaki Abe, Christiane E. Wobus

Bibliographic record

VenueBiochemistry and Cell Biology · 2020
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsLactoferrinNorovirusVirologyBiologyMicrobiologyAntimicrobialMicrobicideImmunologyMedicineVirus

Abstract

fetched live from OpenAlex

Human noroviruses cause significant morbidity and mortality worldwide, but lack approved antivirals or vaccines to treat or prevent infections. The recent development of two cell culture systems in human transformed B cells (BJABs) and non-transformed human intestinal enteroid cultures overcomes a main limitation in identifying molecules with anti-norovirus activities. Lactoferrin is an iron-binding glycoprotein found in the milk of most mammals, with broad spectrum antimicrobial activities, including against the related murine norovirus in cell culture. In a Japanese clinical trial, ingestion of lactoferrin reduced the incidence of infectious gastroenteritis in the participants. Because human noroviruses were the most common cause of gastroenteritis in Japan during the clinical trial period, we sought to determine whether lactoferrin could inhibit infection with human norovirus. Our study, using a B cell culture model, demonstrates that lactoferrin reduces human norovirus infection. The mechanism of antiviral action is likely indirect and may involve the induction of innate interferon responses. Therefore, future studies are warranted to test the antiviral efficacy of lactoferrin against human norovirus infection in patients.

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)0.000
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 score0.018
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

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 head0.026
GPT teacher head0.311
Teacher spread0.285 · 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

Citations47
Published2020
Admission routes1
Has abstractyes

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