Hyperphosphorylated Tau as a Novel Biomarker for Traumatic Axonal Injury in the Spinal Cord
Bibliographic record
Abstract
Current biomarker research in spinal cord injury (SCI) and traumatic brain injury has focused on a number of structural protein candidates, including the microtubule-associated protein tau. Evidence from models of traumatic brain injury has demonstrated that hyperphosphorylation of tau (p-tau) occurs in injured axons and demonstrates its utility as a biomarker for brain injury; however, the potential of p-tau as a biomarker for SCI is not yet known. Therefore, the present study determined whether tau is hyperphosphorylated in injured spinal cord axons, and then examined cerebrospinal fluid (CSF) and serum concentrations of p-tau and total-tau protein after a clinically relevant severe impact-compression SCI in rats. We found that severe SCI at T8 showed the presence of p-tau in damaged axons with a similar time course and distribution pattern to β-APP, a biomarker of axonal injury. The presence of p-tau and β-APP positive axons extended no farther than 5000 μm rostral and caudal to the injury epicenter, and was at its maximum at one day post-SCI. CSF levels of p-tau and total-tau significantly increased at one day post-SCI; however, only serum p-tau levels were significantly elevated in rats with SCI compared with naïve rats. These results suggest that CSF and serum p-tau may be a useful biomarker for severe traumatic SCI.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".