A Valuable Animal Model of Spinal Cord Injury to Study Motor Dysfunctions, Comorbid Conditions, and Aging Associated Diseases
Bibliographic record
Abstract
Most animal models of contused, compressed or transected spinal cord injury (SCI) require a laminectomy to be performed. However, despite advantages and disadvantages associated with each of these models, the laminectomy itself is generally associated with significant problems including longer surgery and anaesthesia (related post-operative complications), neuropathic pain, spinal instabilities, deformities, lordosis, and biomechanical problems, etc. This review provides an overview of findings obtained mainly from our laboratory that are associated with the development and characterization of a novel murine model of spinal cord transection that does not require a laminectomy. A number of studies successfully conducted with this model provided strong evidence that it constitutes a simple, reliable and reproducible transection model of complete paraplegia which is particularly useful for studies on large cohorts of wild-type or mutant animals - e.g., drug screening studies in vivo or studies aimed at characterizing neuronal and non-neuronal adaptive changes post-trauma. It is highly suitable also for studies aimed at identifying and developing new pharmacological treatments against aging associated comorbid problems and specific SCI-related dysfunctions (e.g., stereotyped motor behaviours such as locomotion, sexual response, defecation and micturition) largely related with 'command centers' located in lumbosacral areas of the spinal cord.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 teacher head, 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".