Serum Biochemistry and Lipids Profiling in Experimental Dietary Exposure of <i>Heterobranchus Longifilis</i> Catfish Juveniles to Graded Concentrations of Fumonisin B1
Bibliographic record
Abstract
Heterobranchus longifilis catfish is an important aquaculture fish species in the West African sub region. The culture of this fish is based on a diet containing up to 30% maize as a source of energy. We assessed the serum biochemical and lipids profile of this fish following dietary exposure to graded concentrations of fumonisin B1 (FB 1 ). 450 juvenile H. longifilis catfish were stocked into 5 groups of 1000 L tanks consisting of 3 tanks per group and fed one of five experimental diets amended with purified FB 1 (0.0; 10.0; 20.0; 20.0; 40.0 and 80.0 mg FB 1 /kg) for 56 days. At time point’s day 7, day 28 and day 56, five fish each were randomly sampled from each tank and bled for serum biochemical and lipids profiling. Results shows that the experimental diets had greater FB 1 concentration (2.37; 14.68; 24.74; 43.04 and 82.77 mg FB 1 / kg), compared to the concentration of purified FB 1 added at the time of production of the diets. Dietary FB 1 at inclusions ≥ 24.74 mg FB 1 /kg caused a nonspecific dose and duration of feeding dependent changes in serum biochemical parameters marked by hypoprotenemia, hyperalbuminemia and increased serum activities of alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, creatinine, urea and lactate dehydrogenase compared to fish fed the control diets. Other changes observed in H. longifilis catfish juveniles following dietary exposure to FB 1 include hypercholesterolemia and hypertriglycerolemia. It was concluded that for profitable H. longifilis culture, dietary FB 1 should not exceed 24.74 mg FB1/kg.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".