Apolipoprotein A-I Expression in Rats is Not Altered by Troglitazone <sup>1</sup>
Bibliographic record
Abstract
Insulin is known to upregulate apolipoprotein A-I (apoA-I) promoter activity and to increase apoA1 gene expression in vivo. To determine if enhancement of insulin action with insulin sensitizers can also increase the apoA-I expression, we studied the in vivo effect of troglitazone, a potent insulin sensitizer, on the expression of rat hepatic and intestinal apoA-I mRNA using Northern blot analysis. The plasma, hepatic, and intestinal apoA-I content was also measured with immunoblot analysis using a specific anti-rat apoA-I antiserum. Troglitazone, given mixed with rat chow (0.2%) for 18 days, did not increase either plasma or tissue apoA-I mRNA or protein content. Intestinal apoA-I mRNA content relative to glyceraldehyde-3 phosphate dehydrogenase (G(3)PDH) mRNA was significantly lower compared with hepatic tissue content in both control and troglitazone-treated rats. The effect of troglitazone on the rat apoA-I promoter was examined using transient transfection analysis in HepG2 cells transfected with the apoA-I-chloramphenicol acetyl transferase (CAT) reporter plasmid (pAI.474.CAT). CAT activity (percentage acetylation of chloramphenicol as means +/- SEM) was not significantly different in ethanol (vehicle)-treated cells compared with cells treated with troglitazone (50.5% +/- 2.5% in control cells vs 57.7% +/- 8.2% and 53.5% +/- 4.2% in cells treated with 10 and 100 mM troglitazone, respectively). It is concluded that troglitazone doses known to achieve insulin sensitization did not enhance rat apoA-I promoter activity sufficiently to result in an increased apoA-I mRNA or protein expression in the intact rat. However, peroxisome proliferator activator receptor (PPAR) agonists that have significant PPAR alpha activity in addition to their PPAR gamma effects, may well be able to induce apoA-I expression.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".