A Pathogenic Peripherin Gene Mutation in a Patient with Amyotrophic Lateral Sclerosis
Bibliographic record
Abstract
Peripherin is a neuronal intermediate filament protein that is expressed chiefly in motor neurons and other nerve cells that project into the peripheral nervous system. Transgenic mice that over-express peripherin develop motor neuron degeneration, suggesting that mutations in peripherin could contribute to the development of motor neuron disease. In this paper, we report the identification of a homozygous mutation in the peripherin gene (PRPH) in a patient with amyotrophic lateral sclerosis (ALS). The mutation resulted in a substitution of aspartate with tyrosine at amino acid position 141, which is located within the first linker region of the rod domain. Immunocytochemical analysis of the spinal cord of the patient upon autopsy revealed distinctive large aggregates within the cell bodies of residual spinal motor neurons that contained peripherin and was also immunoreactive with antibodies to the neurofilament proteins. In order to study the effect of the mutation on peripherin assembly, we performed transient transfections. Unlike wild-type peripherin, which self-assembles to form a filamentous network, the mutant peripherin was prone to form aggregates in transfected cells, indicating that the mutation adversely affects peripherin assembly. Moreover, the neurofilament light (NF-L) protein was not able to rescue the mutant protein from forming aggregates. These data imply that mutation of PRPH is a contributing factor for ALS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".