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Record W2001895429 · doi:10.1139/w08-022

Safety evaluation of two bacterial strains used in asian probiotic products

2008· article· en· W2001895429 on OpenAlexaffvenue
Thomas A. Tompkins, Karen E. Hagen, Timothy D. Wallace, Valerie Fillion-Forté

Bibliographic record

VenueCanadian Journal of Microbiology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsBioPhage Pharma (Canada)
Fundersnot available
KeywordsProbioticEnterococcus faeciumFood safetyVirulenceBiologyBiotechnologyAntibioticsAntibiotic resistanceMicrobiologyMedicineFood scienceBacteriaGene

Abstract

fetched live from OpenAlex

Probiotics, known for their prophylactic and therapeutic properties, are routinely used by the medical community in various regions of the world. In some Asian countries, these products are controlled as pharmaceutical substances and must adhere to strict regulatory guidelines. However, outside of Europe where the European Food Safety Authority has recently adopted a Qualified Presumption of Safety approach for probiotics used in food and feed, current safety requirements do not necessitate screening for the presence of virulence and other risk factors, which may result in the inadvertent use of probiotic strains harboring harmful genes. A safety evaluation was conducted on Enterococcus faecium R0026 and Bacillus subtilis R0179 used in several commercial probiotic products marketed in Asia. Molecular techniques were used to verify the identity of each strain and antibiotic resistance profiles were determined towards clinically relevant antibiotics. Strains were subsequently screened for the presence of enterotoxins and virulence factors and were subjected to 28 days of repeated high-dose oral toxicity testing in rats. No risk factors or aberrant activities were identified using such a detailed approach. Thus, both microbes were deemed to pose low risk to the consumer and, therefore, safe for use as probiotics.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.952

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 head0.235
Teacher spread0.193 · 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

Citations54
Published2008
Admission routes2
Has abstractyes

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