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Record W2499655074 · doi:10.1021/bk-2008-1001.ch003

Combined Toxic Effects of Ochratoxin A and Citrinin, In Vivo and In Vitro

2008· book-chapter· en· W2499655074 on OpenAlexaff
Annie Pfohl‐Leszkowicz, Anne Molinié, Marianne Tozlovanu, Richard A. Manderville

Bibliographic record

VenueACS symposium series · 2008
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCitrininOchratoxin ANephrotoxicityIn vivoMycotoxinCarcinogenOchratoxinIn vitroToxicityKidneyPharmacologyChemistryBiologyToxicologyFood scienceMedicineInternal medicineBiotechnologyBiochemistryEndocrinology

Abstract

fetched live from OpenAlex

Ochratoxin A (OTA) and citrinin (CIT), which are nephrotoxic mycotoxins suspected to be involved in Balkan endemic nephropathy and urothelial tract tumours, are known to coexist in certain food sources, such as cereals. Simultaneous administration of OTA and CIT enhanced the incidence of renal tumors in male mice. The aim of this study was to determine the combined genotoxic effects of CIT and OTA, (i) in cell culture and (ii) in vivo in Dark Agouty rats fed for 3 weeks with ground wheat enriched with OTA and/or CIT. When the mycotoxins are simultaneously present, the toxicity was considerably enhanced. DNA adduct patterns of rat kidney after a 3-weeks feeding, were similar to those obtained in cell cultures. The main OTA DNA-adduct was identified as C8 dGMP-OTA, which was found in human tumors, and found to increase by simultaneous presence of CIT and OTA.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.006
GPT teacher head0.174
Teacher spread0.167 · 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 designBench or experimental
Domainnot available
GenreOther

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

Citations42
Published2008
Admission routes1
Has abstractyes

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