The role of Drp1 adaptor proteins MiD49 and MiD51 in mitochondrial fission: implications for human disease
Bibliographic record
Abstract
Mitochondrial morphology is governed by the balance of mitochondrial fusion, mediated by mitofusins and optic atrophy 1 (OPA1), and fission, mediated by dynamin-related protein 1 (Drp1). Disordered mitochondrial dynamics alters metabolism, proliferation, apoptosis and mitophagy, contributing to human diseases, including neurodegenerative syndromes, pulmonary arterial hypertension (PAH), cancer and ischemia/reperfusion injury. Post-translational regulation of Drp1 (by phosphorylation and SUMOylation) is an established means of modulating Drp1 activation and translocation to the outer mitochondrial membrane (OMM). This review focuses on Drp1 adaptor proteins that also regulate fission. The proteins include fission 1 (Fis1), mitochondrial fission factor (Mff) and mitochondrial dynamics proteins of 49 kDa and 51 kDa (MiD49, MiD51). Heterologous MiD overexpression sequesters inactive Drp1 on the OMM, promoting fusion; conversely, increased endogenous MiD creates focused Drp1 multimers that optimize OMM scission. The triggers that activate MiD-bound Drp1 in disease states are unknown; however, MiD51 has a unique capacity for ADP binding at its nucleotidyltransferase domain. Without ADP, MiD51 inhibits Drp1, whereas ADP promotes MiD51-mediated fission, suggesting a link between metabolism and fission. Confusion over whether MiDs mediate fusion (by sequestering inactive Drp1) or fission (by guiding Drp1 assembly) relates to a failure to consider cell types used and to distinguish endogenous compared with heterologous changes in expression. We speculate that endogenous MiDs serve as Drp1-binding partners that are dysregulated in disease states and may be important targets for inhibiting cell proliferation and ischemia/reperfusion injury. Moreover, it appears that the composition of the fission apparatus varies between disease states and amongst individuals. MiDs may be important targets for inhibiting cell proliferation and attenuating ischemia/reperfusion injury.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".