Circulating MicroRNAs and the Occurrence of Acute Myocardial Infarction in Chinese Populations
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Bibliographic record
Abstract
BACKGROUND: Circulating microRNAs ( miRNAs) are emerging as novel disease biomarkers. We aimed to explore the association between circulating miRNAs and the occurrence of acute myocardial infarction (AMI) in Chinese populations. METHODS AND RESULTS: In the discovery stage, the plasma of 20 patients with AMI and 20 controls were pooled respectively and profiled by massively parallel sequencing. Seventy-seven miRNAs showed differential expression. Selected miRNAs were validated in 178 patients with AMI and 198 controls using quantitative reverse transcriptase polymerase chain reaction assays and further replicated in 150 patients with AMI and 150 controls. Results suggest that miR-320b and miR-125b levels were significantly lower in patients with AMI than in controls in both validation populations (P<0.0001). Lower levels of miR-320b and miR-125b were associated with increased occurrence of AMI (adjusted odds ratio, 4.71; 95% confidence interval, 2.96-7.48 and odds ratio, 4.27; 95% confidence interval, 2.84-6.41, respectively). Addition of the 2 miRNAs to traditional risk factors led to a significant improvement in the area under the curve from 0.822 (95% confidence interval, 0.787-0.856) to 0.871 (95% confidence interval, 0.842-0.900), with a net reclassification improvement of 20.45% (P<0.0001) and an integrated discrimination improvement of 0.16 (P<0.0001) for patients with AMI. A functional study showed that miR-320b and miR-125b could regulate the expression profiles of genes enriched in several signal transduction pathways critical for coronary heart disease in human vascular endothelial cells. CONCLUSIONS: The plasma levels of miR-320b and miR-125b were significantly lower in patients with AMI when compared with controls, and these miRNAs may be involved in the pathogenesis of coronary heart disease.
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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 | 0.001 | 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) | 0.000 | 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 it