Loss of estrogen-related receptor α promotes hepatocarcinogenesis development via metabolic and inflammatory disturbances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Estrogen-related receptor α (ERRα) is a key regulator of mitochondrial function and metabolism essential for energy-driven cellular processes in both normal and cancer cells. ERRα has also been shown to mediate bone-derived macrophage activation by proinflammatory cytokines. However, the role of ERRα in cancer in which inflammation acts as a tumor promoter has yet to be investigated. Herein we show that global loss of ERRα accelerates the development of diethylnitrosamine (DEN)-induced hepatocellular carcinoma. Biochemical and metabolomics studies revealed that loss of ERRα promotes hepatocyte necrosis over apoptosis in response to DEN due to a deficiency in energy production. We further show that increased hepatocyte death and associated compensatory proliferation observed in DEN-injured ERRα-null livers is concomitant with increased nuclear factor κB (NF-κB)-dependent transcriptional control of cytokine expression in Kupffer cells. In particular, we demonstrate that loss of ERRα-dependent regulation of the NF-κB inhibitor IκBα leads to enhanced NF-κB activity and cytokine gene activation. Our work thus shows that global loss of ERRα activity promotes hepatocellular carcinoma by independent but synergistic mechanisms in hepatocytes and Kupffer cells, implying that pharmacological manipulation of ERRα activity may have a significant clinical impact on carcinogen-induced cancers.
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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 | 0.000 |
| 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 it