Benzoyl-CoA Ligase Activity in theLiver and Kidney Cortex of WeanlingGuinea Pigs Treated with VariousInducers: Relationship with HippurateSynthesis and Carnitine Levels
Bibliographic record
Abstract
Recent reports have indicated that guinea pig may be a better model for the study of benzoate conjugation in humans because of the presence of a salicylate-activating ligase. We gave intraperitoneal injections of sodium benzoate, sodium salicylate, sodium methylprednisolone and sodium phenobarbital for 4 consecutive days to groups of weanling guinea pigs before sacrifice. A measurement of benzoyl-CoA ligase activity and in vitro hippurate synthesis was done in liver and kidney cortex homogenates from each treated group at 21 days of age, as compared to an untreated (saline) 21-day control group. The results indicate that benzoyl-CoA ligase in guinea pigs is affected by phenobarbital (liver and kidney; p < 0.05-0.01) and methylprednisolone (liver; p < 0.01). Liver hippurate synthesis was also significantly induced by phenobarbital (p < 0.01). Both these treated groups also had reduced levels of free carnitine in plasma taken from 21-day-old guinea pigs as compared to the untreated control. Sodium benzoate did not have any effect on benzoyl-CoA ligase activity or on in vitro hippurate synthesis. However, sodium salicylate did show some effect on the induction of liver and kidney benzoyl-CoA ligase (not significant) and liver (p < 0.05) and kidney hippurate synthesis. It is important that studies on the guinea pig model be extended for application to children receiving therapy of benzoate and other aromatic acids like p-aminobenzoate or salicylate.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".