Serum level changes in Toll-like receptor 2, 4 and soluble ST2 protein in the circulation in elderly patients with old myocardial infarction
Bibliographic record
Abstract
Objective To study the serum level changes in Toll-like receptor 2, 4 and soluble ST2 in the circulation in elderly patients with old myocardial infarction and the clinical significance. Methods A total of 140 patients with old myocardial infarction combined with chronic left-sided heart failure from Jan. 2010 to Mar. 2014, and 50 controls were selected. Serum level changes in TLR2 and TLR4 were detected by flow cytometry and compared with hs-CRP. The levels of hs-CRP and sST2 were tested by nephelometry immunoassay and enzyme-linked immunosorbent assay (ELISA) respectively. Results The levels of hs-CRP, TLR2, TLR4 and sST2 were elevated along with the severity of old myocardial infarction in elderly patients. The levels of hs-CRP, TLR2, TLR4 and sST2 were lower in patients with single vessel disease than in patients with four-vessel disease〔hs-CRP: (1.9±0.9) mg/L vs. (14.9±1.9) mg/L, TLR2: (7.5±0.9) MFI vs. (15.1±1.8) MFI, TLR4: (5.5±0.8) MFI vs. (11.8±7.1) MFI, sST2: (22.6±0.4)μg/L vs. (28.7±0.9)μg/L, all P<0.01〕. Levels of hs-CRP, TLR2, TLR4 and sST2 were lower in patients with NYHAⅠthan in patients with NYHA Ⅳ〔hs-CRP: (1.9±0.2) mg/L vs. (15.0±1.9) mg/L, TLR2: (7.3±0.2) MFI vs. (16.7±2.9)MFI, TLR4: (5.8±0.9) MFI vs. (17.9±6.9) MFI, sST2: (22.4±0.6) μg/L vs. (30.3±1.0) μg/L, all P<0.01〕. The levels of hs-CRP, TLR2, TLR4 and sST2 were gradually increased along with the increases of Canadian Cardiovascular Society Angina Pectoris Grade and cardiac function classification of the American College of Cardiology (all P<0.01). Conclusions Serum level changes in hs-CRP, TLR2, TLR4 and sST2 in elderly patients with old myocardial infarction may become the new indicators to forecast the degree of old myocardial infarction. Key words: C-reactive protein; Toll-like receptors; Myocardial infarction
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".