High Thoracic Contusion Model for the Investigation of Cardiovascular Function after Spinal Cord Injury
Bibliographic record
Abstract
Cardiovascular disease is the leading cause of death for individuals with spinal cord injury (SCI). Because of a lack of a standardized and accessible animal model for cardiovascular disease after SCI, few laboratories have conducted pre-clinical trials aimed at reinstating descending cardiovascular control. Here, we utilized common contusion methodology applied to the midline of the upper-thoracic cord of adult Wistar rats accompanied with telemetric blood pressure monitoring and FluoroGold retrograde neuronal tracing, as well as lesion site and lumbrosacral afferent immunohistochemistry. We demonstrate widespread cardiovascular (i.e., impaired resting hemodynamics, autonomic dysreflexia) and hindlimb dysfunction at 1 month post-injury. Further, we provide a description of the neuroanatomical changes that accompany cardiovascular abnormalities. Specifically, we describe 1) the injury site including white matter sparing as well as lesion volume, and their correlations to cardiovascular as well as motor outcomes; 2) the severity of injury-dependent changes in sympathoexcitatory medullary neuron spinal connectivity, as measured using FluoroGold tracing; and 3) the extent of aberrant afferent plasticity within the lumbosacral region of the spinal cord, which has been linked to the development of autonomic dysreflexia. We believe that this model, which utilizes equipment common to numerous SCI laboratories, can serve as a research standard for studies specifically aimed at investigating autonomic neuroprotective and regenerative strategies 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".