The mitophagy receptor BNIP3L/Nix coordinates nuclear calcium signaling to modulate the muscle phenotype
Bibliographic record
Abstract
Mitochondrial quality control is critical in muscle to ensure contractile and metabolic function. BNIP3L/Nix is a BCL2 member, a mitophagy receptor, and has been implicated in muscle atrophy. Human genome-wide association studies (GWAS) suggest altered BNIP3L expression could predispose to mitochondrial disease. To investigate BNIP3L function, we generated a muscle-specific knockout model. bnip3l knockout mice displayed a ragged-red fiber phenotype, along with accumulation of mitochondria and endo/sarcoplasmic reticulum with altered morphology. Intriguingly, bnip3l knockout mice were more insulin sensitive with a corresponding increase in glycogen-rich muscle fibers. Kinome and gene expression analyses revealed that bnip3l knockout impairs NFAT and MSTN (myostatin) signaling, with alterations in muscle fiber-type and evidence of regeneration. Mechanistic experiments demonstrated that BNIP3L modulates mitophagy, along with reticulophagy leading to altered nuclear calcium signaling. Collectively, these observations identify novel roles for BNIP3L coordinating selective autophagy, oxidative gene expression, and signaling pathways that maintain the muscle phenotype.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".