The Peroxisome Proliferator Response Element of the Gene Encoding the Peroxisomal β-Oxidation Enzyme Enoyl-CoA Hydratase/3-Hydroxyacyl-CoA Dehydrogenase Is a Target for Constitutive Androstane Receptor β/9-cis-Retinoic Acid Receptor-mediated Transactivation
Bibliographic record
Abstract
The genes encoding the first two enzymes of the peroxisomal beta-oxidation pathway, acyl-CoA oxidase (AOx) and enoyl-CoA hydratase/3-hydroxyacyl-CoA dehydrogenase (HD), contain upstream cis-acting regulatory regions termed peroxisome proliferator response elements (PPRE). Transcription of these genes is mediated through the binding of peroxisome proliferator-activated receptor alpha (PPARalpha), which binds to a PPRE as a heterodimer with the 9-cis-retinoic acid receptor (RXRalpha). Here we demonstrate that the HD-PPRE is also a target for the constitutive androstane receptor beta (CARbeta). In vitro binding analysis showed that CARbeta bound the HD-PPRE, but not the AOx-PPRE, as a heterodimer with RXRalpha. Binding of CARbeta/RXRalpha to the HD-PPRE occurred via determinants that overlap partially with those required for PPARalpha/RXRalpha binding. In vivo, CARbeta/RXRalpha activated transcription from an HD-PPRE luciferase reporter construct. Interestingly, CARbeta was shown to also modulate PPARalpha/RXRalpha-mediated transactivation in a response element-specific manner. In the presence of the peroxisome proliferator, Wy-14,643, CARbeta had no effect on PPARalpha/RXRalpha-mediated transactivation from the HD-PPRE but antagonized transactivation from the AOx-PPRE in both the presence and the absence of proliferator. Our results illustrate that transcription of the AOx and HD genes is differentially regulated by CARbeta and that the HD gene is a specific target for regulation by CARbeta. Overall, this study proposes a novel role for CARbeta in the regulation of peroxisomal beta-oxidation.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".