Plasma Sestrin2 levels and risk of acute ischemic stroke: A case–control study
Bibliographic record
Abstract
Sestrin2, a stress-inducible protein with antioxidant properties, is upregulated in response to various stressors, including oxidative and energetic stress. This study examines the relationship between plasma Sestrin2 levels, total antioxidant capacity (TAC), total nitric oxide (NO), and the likelihood of experiencing an acute ischemic stroke (AIS) within the Qatari population. The cohort consisted of 187 AIS patients and 30 healthy controls. Plasma concentrations of Sestrin2, TAC, and nitrite/nitrate (an indirect measure of NO) were evaluated at four intervals: within 48 hours of stroke onset, and at 5 days, 30 days, and 1 year post-stroke. At stroke onset, AIS patients exhibited significantly lower plasma levels of Sestrin2 (1.434±3.57 vs. 8.383±7.39; p <0.001), TAC (1.88±0.42 vs. 2.279±0.326; p <0.001), and nitrite/nitrate (53.5±47.9 vs. 65.951±44.07; p = 0.04) compared to controls. Sestrin2 levels remained diminished at 5 and 30 days post-stroke, while NO levels increased by day 5 (p = 0.01). Multiple logistic regression analysis revealed that male sex, diabetes, high National Institutes of Health Stroke Scale (NIHSS) scores, and small vessel disease (SVD) were associated with increased odds of AIS, whereas Middle Eastern ethnicity correlated with reduced odds. Notably, higher tertiles of Sestrin2, TAC, and NO were linked to decreased odds of AIS, with adjusted odds ratios of 0.123 (p < 0.001), 0.327 (p = 0.01), and 0.063 (p = 0.01), respectively. The observed lower plasma levels of Sestrin2, TAC, and NO at stroke onset and up to 30 days post-event suggest their potential role as biomarkers in stroke occurrence and recovery, with elevated levels associated with a decreased likelihood of AIS.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".