Estrogen-related Receptor α Is a Repressor of Phosphoenolpyruvate Carboxykinase Gene Transcription
Bibliographic record
Abstract
The orphan nuclear receptor estrogen-related receptor (ERR) alpha is a downstream effector of the transcriptional coactivator PGC-1alpha in the regulation of genes important for mitochondrial oxidative capacity. PGC-1alpha is also a potent activator of the transcriptional program required for hepatic gluconeogenesis, and in particular of the key gluconeogenic enzyme phosphoenolpyruvate carboxykinase (PEPCK). We report here that the regulatory sequences of the PEPCK gene harbor a functional ERRalpha binding site. However, in contrast to the co-stimulating effects of ERRalpha and PGC-1alpha on mitochondrial gene expression, ERRalpha acts as a transcriptional repressor of the PEPCK gene. Suppression of ERRalpha expression by small interfering RNA leads to reduced binding of ERRalpha to the endogenous PEPCK gene, and an increase in promoter occupancy by PGC-1alpha, suggesting that part of the ERRalpha function at this gene is to antagonize the action of PGC-1alpha. In agreement with the in vitro studies, animals that lack ERRalpha show increased expression of gluconeogenic genes, including PEPCK and glycerol kinase, but decreased expression of mitochondrial genes, such as ATP synthase subunit beta and cytochrome c-1. Our findings suggest that ERRalpha has opposing effects on genes important for mitochondrial oxidative capacity and gluconeogenesis. The different functions of ERRalpha in the regulation of these pathways suggest that enhancing ERRalpha activity could have beneficial effects on glucose metabolism in diabetic subjects by two distinct mechanisms: increasing mitochondrial oxidative capacity in peripheral tissues and liver, and suppressing hepatic glucose production.
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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) | 0.003 | 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".