Histologic and transcriptional assessment of a mild SMA model
Bibliographic record
Abstract
Spinal muscular atrophy (SMA) is caused by survival of motor neuron (SMN) deficiency, leading to specific motor neuron attrition. The time course and molecular pathophysiologic etiology of motor neuron loss observed in SMA remains obscure. Mice heterozygous for Smn show up to 50% motor neuron attrition by 6 months of age and are used as a model for mild SMA in humans. To determine both the rate of cellular loss and the molecular events underlying motor neuron degeneration in SMA, motor neuron counts and mRNA quantification were performed in spinal cords of Smn(+/-) mice and wild-type littermates. Surprisingly, despite the chronic, subclinical nature of motor neuron loss, we find that the bulk of the loss occurs by 5 weeks of age. RNA isolated from the spinal cords of 5 week-old Smn(+/-) mice subjected to microarray analysis reveal alterations in genes involved in RNA metabolism, apoptosis and transcriptional regulation including a general perturbation of transcripts coding for calcium binding proteins. A subset of these changes in expression was further characterized by semi-quantitative RT-PCR and Western blot analysis at various time points. Taken together, these results indicate that spinal cord cells present the first signs of the apoptotic process consistent with a response to the stress of Smn depletion. A picture of comparatively rapid neuronal attrition in spite of the very mild nature of SMA is obtained. Furthermore, changes occur, which may be reactive to and not causative of the cellular loss, involving central cellular functions as well as calcium modulating proteins.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".