Levels of interleukin-33 and interleukin-6 in patients with acute coronary syndrome or stable angina
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to investigate the levels of interleukin-33 (IL-33) and interleukin-6 (IL-6) in patients with acute coronary syndrome or stable angina. METHODS: Serum IL-33 and IL-6 were measured with Enzyme Linked Immuosorbent Assay (ELISA) in patients with acute coronary syndrome (ACS, n=40), and stable angina pectoris (SAP, n=43). IL-33 and IL-6 were also determined in 30 healthy subjects (control group). RESULTS: The serum level of IL-33 in the ACS group (78.60±44.84 ng/L) was lower than in the SAP (102.58±37.21 ng/L, P<0.01) or control groups (130.24±10.17 ng/L, P<0.01). The serum level of IL-6 in the ACS group (39.90±12.64 ng/L) was higher than in the SAP (18.68±11.89 ng/L, P<0.05) or control groups (6.28±17.72 ng/L, P<0.05). There were no differences in serum levels of IL-33 and IL-6 among the single-, double- and triple-vessel lesion groups. IL-33 and IL-6 levels were negatively correlated with each other in the ACS (r=-0.871, P<0.01) and SAP groups (r=-0.788, P<0.01). CONCLUSION: The serum level of IL-33 was lower in patients with ACS or SAP and was negatively correlated with the serum level of IL-6. Thus, IL-33 and IL-6 may be used as biomarkers for evaluating inflammatory response and severity of coronary heart disease in patients with ACS or SAP.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".