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Record W3005973658 · doi:10.1139/cjas-2019-0147

The improving effects of biotin on hepatic histopathology and related apolipoprotein mRNA expression in laying hens with fatty liver hemorrhagic syndrome

2020· article· en· W3005973658 on OpenAlexvenueno aff
Jiamei Huang, Guyue Li, Hongfeng Cao, Fei Yang, Chenghong Xing, Yu Zhuang, Caiying Zhang, Ping Liu, Huabin Cao, Guoliang Hu

Bibliographic record

VenueCanadian Journal of Animal Science · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiotin and Related Studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsApolipoprotein BBiotin deficiencyInternal medicineEndocrinologyBiotinFatty liverBiologyBasal (medicine)HistopathologyMedicinePathologyBiochemistryDiseaseCholesterol

Abstract

fetched live from OpenAlex

Fatty liver hemorrhagic syndrome (FLHS) is a metabolic disease mostly observed in laying hens that causes an economic toll on the poultry industry. To investigate the improving effects of biotin on FLHS in laying hens, a total of 135 Hy-Line Brown layers of 300-d-old were randomly divided into three groups and treated for 60 d. The hens from these three groups were fed with different diets: control group (the basal diet), pathology group [high-energy-low-protein diet (HELP)], and treatment group (HELP containing a biotin dosage of 0.3 mg kg −1 ). The results showed that the mRNA expression level of apolipoprotein A I (apoA I) in pathology group significantly (P < 0.01) decreased on day 60 compared with the control group, while the mRNA level of apolipoprotein B 100 (apoB 100 ) increased significantly in pathology group on day 30, whereas it decreased significantly on day 60 (P < 0.05). Significantly increased mRNA levels of apoA I and apoB 100 were observed in treatment group compared with the pathology group on days 30 and 60 (P < 0.05 or P < 0.01). These results indicated that biotin could effectively alleviate the pathological changes and abnormal expression of apoA I and apoB 100 induced by FLHS, which might closely relate to the ability of biotin to promote egg production.

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 score0.459
Threshold uncertainty score0.215

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 studies0.0000.001
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 head0.006
GPT teacher head0.192
Teacher spread0.186 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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