MétaCan
Menu
← Back to cohort
Record W4403898321 · doi:10.3168/jds.2024-25430

Integrated multiomics approach and pathological analyses provide new insights into hepatic injury and metabolic alterations in Saanen goats after dietary exposure to aflatoxin B1

2024· article· en· W4403898321 on OpenAlexafffund
Donghua Su, Jing Peng, Jingjing Hao, Xi Wang, Peiqiang Yu, Shengli Li, Haitao Shi

Bibliographic record

VenueJournal of Dairy Science · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsUniversity of Saskatchewan
FundersFaculty of Arts and Social Sciences, Carleton UniversitySouthwest Minzu UniversityNational Natural Science Foundation of China
KeywordsAflatoxinPathologicalOmicsBiologyPhysiologyMedicineInternal medicineBioinformaticsFood science

Abstract

fetched live from OpenAlex

Exploring the toxicity and metabolic mechanisms of aflatoxin B 1 (AFB 1 ) in ruminants can help to develop strategies to prevent or reduce the transfer of the toxin and its metabolites to milk and meat.This study aimed to explore the effects of 3 concentrations of dietary AFB 1 (0, 50, and 500 μg/kg) on hepatic injury and metabolism in Saanen goats via histological examination, western blot analysis, as well as integrated multiomics techniques.Eighteen Saanen goats were assigned to 1 of 3 treatments and the AFB 1 challenge lasted for 14 d.Results showed that the liver tissue was enlarged and the relative organ index of the liver was linearly increased with elevated AFB 1 levels.The hepatocyte apoptosis rate was significantly increased after AFB 1 exposure, and the western blotting results revealed that both the external apoptotic pathway and mitochondrial-mediated intrinsic apoptotic pathway might be involved in AFB 1 -induced hepatocyte apoptosis.We identified 251, 269, and 154 significant differentially expressed genes (DEG) and 340, 596, and 127 significant differential metabolites in comparisons between the control (CON; 0 μg/kg) and low-dose (LO; 50 μg/kg) groups, the CON and high-dose (HI; 500 μg/ kg) groups, and the LO and HI groups, respectively.The DEG annotated were mainly involved in the cell part, cell, single-organism process, cellular process, binding, and other functional categories.The identified metabolites primarily belonged to glycerophospholipids, prenol lipids, carboxylic acids, and derivatives.Integrative analysis of transcriptomics and metabolomics revealed that glycerophospholipids metabolism and choline metabolism in cancer were the most affected pathways related to AFB 1 exposure.The identified differential metabolites, DEG, and pathways might have played a crucial role in the hepatic injury induced by AFB 1 in goats.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.279
Teacher spread0.248 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Dairy Science→Same topicMycotoxins in Agriculture and Food→French-language works237,207→