Acute ischemic stroke and reperfusion drive molecular immune-vascular activations detectable in peripheral blood
Bibliographic record
Abstract
BACKGROUND: Inflammation drives damage in acute ischemic stroke (AIS). Here, we map temporal and molecular mechanisms of immune-vascular response in patients with AIS treated with endovascular thrombectomy (EVT) for anterior circulation large-vessel occlusion. METHODS: In this prospective cohort, 52 patients underwent serial peripheral blood sampling at groin puncture (Pre), catheter withdrawal (T0), and 6, 24, and 48 hours post-reperfusion. Thirteen immune and vascular players were quantified by mesoscale multiplex assays. Clinical outcomes were the modified Rankin Scale (mRS) score at 3 months and the National Institutes of Health Stroke Scale (NIHSS) at 24 hours. RESULTS: Adjusted by age, baseline Alberta Stroke Program Early CT Score (ASPECTS) and NIHSS scores, higher pre-EVT peripheral blood levels of interleukin (IL)-1β, IL-4, IL-10, and IL-13 were associated with poorer 24-hours NIHSS. Post-EVT reperfusion, IL-6 and its downstream effectors vascular cell adhesion molecule- (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1) levels rose in peripheral blood over time, suggesting cerebrovascular inflammation, accompanied by the increased levels of acute-phase reactants C-reactive protein (CRP) and serum amyloid A (SAA), indicative of a systemic inflammatory engagement. In the same timeframe, interferon-gamma (IFN-γ) blood levels decreased. Adjusted by age, baseline ASPECT and NIHSS scores, and pre-thrombectomy biomarker levels, higher post-EVT levels of IL-6, VCAM-1, ICAM-1, and SAA were associated with poorer 24-hours NIHSS and unfavorable mRS 3 month outcomes, supporting an evolving immune dysregulation following AIS. CONCLUSION: This exploratory study points to immune and vascular activation mechanisms from pre- to post-EVT, representing possible disease indicators and targets.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".