Abstract TMP24: Soluble St2 Links Innate Inflammation to Secondary Injury After Stroke and Subarachnoid Hemorrhage
Bibliographic record
Abstract
Background: We recently found that soluble ST2 (sST2) is a plasma marker that predicts neurological outcome after ischemic stroke and aneurysmal subarachnoid hemorrhage. We sought to extend these findings by studying sST2 associations with markers of secondary brain injury and peripheral innate immunity. Methods: We studied 241 acute ischemic stroke (AIS) patients with sST2 level measured on admission (7.4 ± 3.7 hrs after stroke onset) and at least one follow-up brain imaging study, obtained at a mean of 2.2 ± 1.4 days after stroke onset. A subgroup (n=147) had a second sST2 measurement at a mean of 2.1 ± 1.7 days after stroke onset. A separate cohort of 110 subarachnoid hemorrhage (SAH) patients were studied who had plasma sST2 measured at approximately 3.5 ± 1.2 days after ictus. Markers of secondary brain injury included edema after AIS (midline shift), and delayed cerebral ischemia (DCI) or epileptiform discharges on EEG after SAH. The relationships between sST2 level and outcome measures were assessed. Primary blood mononuclear cells from SAH patients and elective aneurysm controls were analyzed by multiparameter flow cytometry to phenotype the peripheral immune response. Results: In the AIS cohort, baseline plasma sST2 level was associated with the presence of midline shift (46.1 vs. 41.8 ng/mL, p=0.017), which further increased at 48 hr after stroke onset (50.6 vs. 38.4 ng/mL, p=0.006). In the SAH cohort, median sST2 in patients who developed new epileptiform abnormalities was higher compared to patients who did not (114.8 ng/ml vs. 74.7 ng/ml, p=0.024). Higher median sST2 concentration was also observed in those patients with DCI (90.8 vs 53.7ng/mL, p=0.003). In patients with high sST2, flow cytometry identified a peripheral monocyte population with decreased expression of CD14 (4.27x105 ± 2950 A.U. vs. 5.64x105 ± 1290 A.U., p<0.001), and increased expression of CD16 (39,960 ± 272 A.U. vs. 34,869 ± 183 A.U., p<0.001). Conclusion: Plasma sST2 independently predicts edema after stroke, and DCI and epileptiform abnormalities after subarachnoid hemorrhage. Elevated sST2 is also associated with changes in peripheral innate immune cells. These data suggest that sST2 links the innate immune response to secondary brain injury.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 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".