Tissue-specific responses to the LRPPRC founder mutation in French Canadian Leigh Syndrome
Bibliographic record
Abstract
French Canadian Leigh Syndrome (LSFC) is an early-onset, progressive neurodegenerative disorder with a distinct pattern of tissue involvement. Most cases are caused by a founder missense mutation in LRPPRC. LRPPRC forms a ribonucleoprotein complex with SLIRP, another RNA-binding protein, and this stabilizes polyadenylated mitochondrial mRNAs. LSFC fibroblasts have reduced levels of LRPPRC and a specific complex IV assembly defect; however, further depletion of mutant LRPPRC results in a complete failure to assemble a functional oxidative phosphorylation system, suggesting that LRPPRC levels determine the nature of the biochemical phenotype. We tested this hypothesis in cultured muscle cells and tissues from LSFC patients. LRPPRC levels were reduced in LSFC muscle cells, resulting in combined complex I and IV deficiencies. A similar combined deficiency was observed in skeletal muscle. Complex IV was only moderately reduced in LSFC heart, but was almost undetectable in liver. Both of these tissues showed elevated levels of complexes I and III. Despite the marked biochemical differences, the steady-state levels of LRPPRC and mitochondrial mRNAs were extremely low, LRPPRC was largely detergent-insoluble, and SLIRP was undetectable in all LSFC tissues. The level of the LRPPRC/SLIRP complex appeared much reduced in control tissues by the first dimension blue-native polyacrylamide gel electrophoresis (BN-PAGE) analysis compared with fibroblasts, and even by second dimension analysis it was virtually undetectable in control heart. These results point to tissue-specific pathways for the post-transcriptional handling of mitochondrial mRNAs and suggest that the biochemical defects in LSFC reflect the differential ability of tissues to adapt to the mutation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".