AMP accumulation during mitochondrial stress induces transcription of cytosolic and mitochondrial protein synthesis components via NHR-180
Bibliographic record
Abstract
Abstract The mitochondrial unfolded protein response (UPR mt ), which promotes mitochondrial proteostasis and biogenesis is regulated by the transcription factor ATFS-1. In C. elegans , impaired atfs-1 expression perturbs mitochondrial function and slows development. Here, via an RNAi suppressor screen, we found that inhibition of the nuclear hormone receptor NHR-180 increases mitochondrial function and the rate of development in atfs-1(null) worms. NHR-180 is activated during mitochondrial dysfunction and induces transcription of genes required for protein synthesis on cytosolic and mitochondrial ribosomes. Importantly, the NHR-180 ligand binding domain interacts with AMP, which results in increased protein synthesis potentially to promote mitochondrial biogenesis and recovery from transient mitochondrial perturbations. However, NHR-180 exacerbates the mitochondrial dysfunction caused by mutations in genes required for oxidative phosphorylation. Consistent with these findings, we found that inhibition of the S6 kinase homolog RSKS-1 also increased mitochondrial function in atfs-1(null) worms. Importantly, treatment with an S6 kinase inhibitor also increased respiration and mtDNA content in mammalian ATF5-knockout cells and OXPHOS-deficient models, suggesting that translation regulation is a conserved, targetable approach for restoring mitochondrial function in disease.
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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) | 0.002 | 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".