P.111 Plasma ADAM-10 as a novel biomarker for traumatic brain injury and concussion
Bibliographic record
Abstract
Background: Cellular prion protein (PrPC) is a lipid raft protein locallizing within CNS tissue. It is reguated by a disiintegrin and metaloproteinase domain containing protein 10 (ADAM10), which induces ectodomain shedding. PrPC has been previousy implicated as a ptentia lbiomarker for TBI, but no prior studies have examined the potential of ADAM10 as a biomarker. Methods: Serum samples from patients admitted for TBI were collected and patient data was recorded. Control serum was acquired from a commercial tissue bank. Patient GCS was recorded during admission. Serum was used for ELISA to assess PrPC and ADAM10 expression. GraphPad was used to conduct ANOVA and regressional analysis. Results: 37 control and 20 TBI samples were collected. Of the TBI patiients, 8 were mild, 3 were moderate, and 9 were severe cilnical grade. Both PrPC and ADAM10 were elevated in TBI patients compared with control (p<0.001). ADAM10 exhibited a dose response, with greter expression in patients with higher clinical grade. There was no significant association of either PrPC or ADAM10 with time after injury. Conclusions: Our results indicate that PrPC and ADAM10 may be useful tools for screening of TBI. ADAM10 is associated closely with clinlcal grade, and may in the future represent a promising prognostic tool.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".