Estrogen-related Receptor α (ERRα) Is a Transcriptional Regulator of Apolipoprotein A-IV and Controls Lipid Handling in the Intestine
Bibliographic record
Abstract
The estrogen-related receptor alpha (ERRalpha) is an orphan member of the superfamily of nuclear receptors involved in the control of energy metabolism. In particular, ERRalpha induces a high energy expenditure in the presence of the coactivator PGC-1alpha. However, ERRalpha knockout mice have reduced fat mass and are resistant to diet-induced obesity. ERRalpha is expressed in epithelial cells of the small intestine, and because the intestine is the first step in the energy chain, we investigated whether ERRalpha plays a function in dietary energy handling. Gene expression profiling in the intestine identified a subset of genes involved in oxidative phosphorylation that were down-regulated in the absence of ERRalpha. In support of the physiological role of ERRalpha in this pathway, isolated enterocytes from ERRalpha knockout mice display lower capacity for beta-oxidation. Microarray results also show altered expression of genes involved in dietary lipid digestion and absorption, such as pancreatic lipase-related protein 2 (PLRP2), fatty acid-binding protein 1 and 2 (L-FABP and I-FABP), and apolipoprotein A-IV (apoA-IV). In agreement, we found that ERRalpha-/- pups exhibit significant lipid malabsorption. We further show that the apoA-IV promoter is a direct target of ERRalpha and that its presence is required to maintain basal level but not feeding-induced regulation of the apoA-IV gene in mice. ERRalpha, in cooperation with PGC-1alpha, activates the apoA-IV promoter via interaction with the apoC-III enhancer in both human and mouse. Our results demonstrate that apoA-IV is a direct ERRalpha target gene and suggest a function for ERRalpha in intestinal fat transport, a crucial step in energy balance.
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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) | 0.001 | 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".