Orphan nuclear receptor estrogen-related receptor α is essential for adaptive thermogenesis
Bibliographic record
Abstract
Survival of organisms requires the ability to adapt to changes in the environment. Adaptation of oxidative metabolism is essential for meeting increased energy demands in response to stressors, such as exposure to cold temperatures or increased physical activity. Adaptive changes in metabolism are often achieved at the level of gene expression, and nuclear receptors have prevalent roles in mediating such responses. Estrogen-related receptor alpha (ERRalpha) was the first orphan nuclear receptor to be identified, and yet its physiologic function remains unknown. Here, we show that mice lacking ERRalpha are unable to maintain body temperature when exposed to cold. Surprisingly, the inability to adapt to cold is not due to defects in the acute transcriptional induction of genes important for thermogenesis. Rather, we show that ERRalpha is needed for the high levels of mitochondrial biogenesis and oxidative capacity characteristic of brown adipose tissue (BAT), and thus for providing the energy necessary for thermogenesis. ERRalpha fulfills this role by acting directly at genes important for mitochondrial function, parallel to other factors controlling mitochondrial gene expression, such as NRF1 and NRF2/GABPA. Our findings demonstrate that ERRalpha is a key regulator of mitochondrial biogenesis and oxidative metabolism, and essential for adaptive thermogenesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".