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Record W4407833894 · doi:10.1016/j.aqrep.2025.102706

Effects of dietary α-ketoglutarate supplementation on growth performance, digestive enzyme activity, immune gene expression, and intestinal morphology of largemouth bass (Micropterus salmoides) fed high soybean diet

2025· article· en· W4407833894 on OpenAlexaff
Xin Yang, Jun Liang, Jianhua Zhao, Qiyou Xu

Bibliographic record

VenueAquaculture Reports · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsMinistry of Agriculture
FundersNational Natural Science Foundation of China
KeywordsMicropterusBass (fish)BiologyDigestive enzymeImmune systemEnzymeEnzyme assayGene expressionGeneFisheryBiochemistryImmunologyAmylase

Abstract

fetched live from OpenAlex

This study investigated the effects of α-ketoglutarate (AKG) on the growth performance, intestinal health, and immune gene expression in largemouth bass ( Micropterus salmoides ). Largemouth bass with an initial weight of 25.5 ± 0.5 g was fed for 8 weeks with three isonitrogenous and isolipidic diets, each with three replicates, and 20 fish per replicate. The control diet contained 41.30 % soybean meal (SM) group, while the experimental diets were supplemented with 1.00 % (AKG1) and 2.00 % (AKG2) AKG. The results showed that AKG had no significant effects on growth performance, body composition, or the gene expression of AMPK-α, 4E-BP, TGFβ1, and TGFβ2 ( P > 0.05). However, compared to the SM group, the AKG1 group significantly increased the α-amylase and trypsin activities in the foregut ( P < 0.05). Additionally, lipase and trypsin activities in the midgut and hindgut were increased in the AKG2 group, while α-amylase activity in these regions was significantly decreased ( P < 0.05). Both AKG groups significantly increased intestinal mucosal thickness and villus height, and significantly decreased crypt depth ( P < 0.05). Additionally, the AKG groups reduced the gene expression of intestinal ACC, caspase-3, caspase-8, caspase-9, and IL-1β, whereas TOR expression was significantly increased and TNF-α expression decreased in the AKG2 group ( P < 0.05). Therefore, supplementation with 1–2 % AKG can alleviate the negative effects of soybean meal on intestinal apoptosis and inflammation, thereby enhancing intestinal health. • Supplementation of AKG in high soybean meal diets can improve intestinal health in largemouth bass and repair intestinal damage. • AKG can enhance intestinal digestive enzyme activity and promote digestion and absorption. • AKG can mitigate the effects of soybean meal on intestinal cell apoptosis and inflammation in largemouth bass, upregulate TOR expression, and downregulate apoptosis-related gene expression.

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 score0.346
Threshold uncertainty score0.466

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 studies0.0000.000
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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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