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Record W4408001268 · doi:10.1016/j.aqrep.2025.102714

Interaction between dietary L-carnitine and lipid levels on growth, lipid metabolism, and antioxidant capacity in juvenile golden pompano (Trachinotus ovatus)

2025· article· en· W4408001268 on OpenAlexaff
Yuanming Yi, Hongming Ma, Beiping Tan, Hongjie Wei, Jiahua Wu, Minling Mao, Shuyan Chi, Hongyu Liu, Qihui Yang

Bibliographic record

VenueAquaculture Reports · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsAlpha Technologies (Canada)
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Guangdong Province
KeywordsJuvenileCarnitineBiologyLipid metabolismAntioxidantAntioxidant capacityBiochemistryEcology

Abstract

fetched live from OpenAlex

To evaluate the interaction between dietary L-carnitine (LC) and lipid levels on the lipid metabolism , antioxidant capacity and growth of juvenile golden pompano ( Trachinotus ovatus ), an 8-week trial was conducted. Six experimental diets were formulated by adding 0.02 % and 0.04 % LC to feeds with lipid levels of 9 %, 12 %, and 15 %, resulting in the following groups: C2L9, C4L9, C2L12, C4L12, C2L15, and C4L15. The results showed the weight gain rate and specific growth rate were significantly higher in the C4L15 group ( P < 0.05), whereas the feed conversion ratio was significantly lower in the C2L12 group. Serum total cholesterol, alanine aminotransferase , and aspartate aminotransferase activities were higher in the L12 and L15 groups compared to the L9 group. The expression of cpt1 and atgl mRNA in the C4L12 group was significantly upregulated, whereas the expression of acc mRNA was significantly downregulated. The levels of lipid and LC significantly influenced malondialdehyde content and superoxide dismutase activity in the liver. At the same LC level, amylase and lipase activities tended to increase with higher lipid levels. Likewise, intestinal protease activity increased with increasing LC levels at the same lipid level. At the same LC level, foregut fold height significantly increased with higher lipid levels. Additionally, intestinal wall thickness was greatest in the C2L12 group. Higher lipid levels decreased gut flora diversity and abundance, promoting the growth of the pathogenic bacterium Photobacterium . Conversely, elevated LC levels positively impacted the abundance of the beneficial bacterium Mycoplasma and effectively reduced the abundance of the pathogenic bacterium Vibrio . Therefore, adding carnitine to high-lipid diets can help reduce lipid peroxidation in the liver of T. ovatus , improve lipid and carbohydrate utilization, promote intestinal development, and enhance the growth of beneficial gut bacteria.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.254
Teacher spread0.219 · 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 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
Published2025
Admission routes1
Has abstractyes

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