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Record W4414830806 · doi:10.1093/jas/skaf300.751

PSVII-14 Dietary supplementation with yeast cell wall preparations reduces the deposition of aflatoxins in the liver of pigs fed diets contaminated with low levels of aflatoxin B1.

2025· article· en· W4414830806 on OpenAlexaboutno aff
Alexandros Yiannikouris, Colm A. Moran, Jason D. Keegan, Suvi Vartiainen, Ursula Fox, J. Apajalahti

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsnot available
Fundersnot available
KeywordsAflatoxinEuropean unionAnimal feedContaminationYeastMycotoxinAspergillus flavusMetabolite

Abstract

fetched live from OpenAlex

Abstract Aflatoxins are known to contaminate maize and other small-grain cereal crops both pre-harvest and during storage. Aspergillus spp. within the section flavi are principal producers of aflatoxins, fungal secondary metabolites (mycotoxins) that include aflatoxin B1 (AFB1). Chronic exposure to AFB1 and aflatoxin M1 (AFM1), a phase I metabolite of AFB1, have shown teratogenic, immunotoxic, mutagenic, and hepatotoxic activity and are classified as Group I carcinogens. Many jurisdictions limit the amount of AFB1 permissible per kg of feed material. For example, the United States allows between 20-300 µg total aflatoxins per kg of feed material, depending on the production stage of the animals and/or feed material. The European Union and Canada have tighter limits, with limits of 20 µg/kg of feed material and in the European Union 10 µg/kg for all complimentary and complete feeds. To further mitigate the impact of aflatoxins on animals, adsorbent materials that sequester aflatoxins can be added to animal feeds. Various studies have demonstrated the efficacy of a range of substances at reducing the impact of feed contaminated with mycotoxins, however these studies usually deal with feed contaminated at levels higher than those allowed in feed by the US and EU/Canada. The aim of this study was to investigate the effects a yeast cell wall preparations (YCW, Mycosorb®) on in vitro adsorption of mycotoxins; and in vivo, on AFB1 and AFM1 deposition in the liver of growing pigs fed diets contaminated with AFB1 at a level of 20 µg/kg. Adsorption evaluation performed in an acidic buffer environment established an aflatoxin B1 binding exceeding 92% in vitro. In vivo, thirty-two female pigs were randomly distributed to 16 pens with two pigs per pen. For one week the pigs were allowed to acclimatize to the housing and the basal diet containing no mycotoxin or YCW. The pigs were then fed diets containing AFB1 only (Control diet) or AFB1 + YCW (treatment diet) for 14 days, at which point the pigs were euthanized and their livers collected for mycotoxin quantification. No differences in productivity parameters (weight, weight gain, feed conversion ratio) were detected between the control and YCW treated animals. The results of the liver demonstrated that pigs fed diets supplemented with YCW had significantly (p< 0.05) less AFB1, AFM1 and AFB1 + AFM1 in their livers with respective concentrations of 47.0, 83.4 and 130.4 ng/kg compared to the mycotoxin challenge alone, with 60.6, 106.1 and 166.7 ng/kg respectively. These results indicated that even at low levels of contamination, YCW could adsorb aflatoxin B1 and significantly decrease the deposition of aflatoxins in the liver.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.245
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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