Cytokines, brain proteins, and growth factors in acute stroke patients: A pilot study
Bibliographic record
Abstract
BACKGROUND: Immunomodulation and cell signaling involve several cytokines, proteins, and other mediators released in response to the trauma, inflammation, or other insults to the central nervous system. This pilot study is part of the registry designed to evaluate the temporal trends among these molecules after an acute ischemic stroke (AIS) in patients. METHODS: Twelve AIS patients were enrolled within 24 hours of the symptoms onset. Two sets of plasma samples were collected: First at admission and second at 24 hours after admission. Cytokines/chemokines and other inflammatory molecules were measured using multiplex assay kit. RESULTS: An increased trend in IL-6 (22 vs. 34 pg/ml), IL-8/CXCL8 (87 vs. 98 pg/ml), MMP-9 (16225 vs. 18450 pg/ml), and GMF-β (999 vs. 3739 pg/ml) levels was observed overtime after an AIS. Patients ≤60 years had lower levels of plasma MCP-1/CCL2 (50-647 vs. 150-1159 pg/ml), IL-6 (9-25 vs. 20-68 pg/ml), and IL-8 (30- 143 vs. 72-630 pg/ml), when compared with patients >60 years old. CONCLUSION: Cytokines/chemokines and other inflammatory mediators play an important role in the pathogenesis of stroke in addition to mediating poststroke inflammation. Further research is needed to evaluate and characterize the cumulative trends of these mediators for the clinical prognosis or as surrogate biomarkers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".