Effects of a novel herbal formulation JSK on acute spinal cord injury in rats
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Acute spinal cord injury (SCI) triggers multiple cellular and molecular pathways; therapy aimed at only one pathway is unlikely to succeed. Anecdotal reports indicate that a novel herbal formulation (JSK-Ji-Sui-Kang) may enhance recovery in humans with SCI. We investigated whether JSK's therapeutic effects could be verified in a well-established SCI model in rats. METHODS: Therapeutic effects of JSK were tested using a standard behavioral assessment, histological, immunochemical and microarray analysis. Phytochemical fingerprinting of JSK was performed using high performance liquid chromatography coupled with photodiode array detection and electrospray ionization-mass spectrometry. JSK or vehicle was gavaged to rats 24 hours after SCI and daily thereafter for 3 weeks. RESULTS: Locomotor function significantly improved (n = 12; p < 0.05), tissue damage was reduced (p < 0.01; n = 6) and more axons and myelin were observed in JSK-treated compared with vehicle control animals. JSK significantly enhanced expression of neuroglobin, vascular endothelial growth factor and growth-associated protein 43, and reduced the expression of caspase 3, cyclooxygenase-2, RhoA (p < 0.05; n = 6) and fibrinogen (p < 0.01; n = 6). RNA microarray indicated that JSK altered transcription of genes involved in ischemic and inflammatory/immune responses and apoptosis (p < 0.05; n = 3). CONCLUSIONS: JSK appears to target multiple biochemical and cellular pathways to enhance functional recovery and improve outcomes of SCI. The results provide a basis for further investigation of JSK's effects following SCI.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it