Spinal cord injury leads to atrophy in pelvic ganglia neurons
Bibliographic record
Abstract
Among the most devastating sequelae of spinal cord injury (SCI) are genitourinary and gastrointestinal dysfunctions. Post-ganglionic neurons in pelvic ganglia (PG) directly innervate and regulate the function of the lower urinary tract (LUT), bowel, and sexual organs. A better understanding of how SCI affects PG neurons is essential to develop therapeutic strategies for devastating gastrointestinal and genitourinary complications ensuing after injury. To evaluate the impact of SCI on the morphology of PG neurons, we used a well- characterized rat model of upper thoracic SCI (T3 transection) that causes severe autonomic dysfunction. Using immunohistochemistry for neuronal markers, the neuronal profile size frequency distribution was quantified at one-, four-, and eight-weeks post SCI using recursive translation. Our investigation revealed an SCI-dependent leftward shift in neuronal size (i.e. atrophy), observable as early as one-week post injury. However, this effect was more pronounced at four and eight-weeks post-SCI. These findings demonstrate the first characterization of SCI-associated temporal changes in morphology of PG neurons and warrant further investigation to facilitate development of therapeutic strategies for recovery of autonomic functions following SCI.
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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 | 0.000 |
| 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".