Differential inhibitory effects of carbon tetrachloride on the hepatic plasma membrane, mitochondrial and endoplasmic reticular calcium transport systems: implications to hepatotoxicity
Bibliographic record
Abstract
Mitochondrial, endoplasmic reticular and plasma membrane fractions were isolated by a new method from control male Fischer 344 rats and rats given CCl4 by gavage. After 1 h of CCl4 treatment, rats were in glucose and pancreatic hormone balance but plasma levels of T3 and T4 were decreased 29 and 22%, respectively. After 24 hours of CCl4 treatment, rats were: hypoglycaemic and insulin and glucagon levels were increased 33- and 35-fold, respectively; total T4 levels were decreased 62%; while total T3 levels were normalized. In liver fractions from CCl4-treated rats, 1 h after CCl4 administration: (i) calcium binding was decreased 65% in the mitochondrial fraction, 66% in the endoplasmic reticular fraction and 46% in the plasma membrane fraction; (ii) calcium uptake was decreased 59% in the mitochondrial fraction, 46% in the endoplasmic reticular fraction and 37% in the plasma membrane fraction. After 24 h of CCl4 administration: (i) calcium binding was decreased 57% in the mitochondrial fraction, 50% in the endoplasmic reticular fraction and 71% in the plasma membrane fraction; (ii). calcium uptake was decreased 55% in the mitochondrial fraction, 17% in the endoplasmic reticular fraction and 53% in the plasma membrane fraction. In vitro studies indicated the plasma membrane calcium transport system to be rapidly (within a minute) and strongly (>90%) inhibited by CCl4. We conclude that CCl4 produces a differential inhibitory effect on the hepatocyte calcium pumps that are implicated with hepatocellular damage.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".