Abstract 10442: Temporal Changes in Plasma Lipidome in Patients with St-Segment Elevation Myocardial Infarction: Impact of Reperfusion
Bibliographic record
Abstract
Aim: We aim to investigate the temporal changes in plasma lipidome before and after reperfusion in ST-segment elevation myocardial infarction (STEMI) patients and their association with myocardial injury. Methods: Venous blood samples were drawn from STEMI patients (N=80) serially before percutaneous coronary intervention (PCI) and at 2 h, 24 h, 48 h, and 30 days after PCI. Plasma lipid profiling (322 lipids) was performed on STEMI patients and age and gender-matched control subjects (N=50) using an LC/MS platform. Results: Overall, 56.01% of the identified lipid species were significantly altered (corrected p<0.05 ) in the first 24 h following reperfusion in STEMI patients. During early reperfusion, except oxidized phospholipids, the majority of lipid classes/subclasses (14 out of 25) were significantly lower (corrected p<0.05 ) at 2 h post-reperfusion compared to the ischemic state. Of all the lipid classes/subclasses, fatty acids showed the most remarkable change (74.5% lower) in the first 24 h after reperfusion. Multivariable linear regression analyses following adjustment of traditional risk factors identified 33 lipid species that significantly associate (p<0.05) with change in troponin concentration (delta troponin) at different time intervals. Five of these lipid species, namely, acylcarnitine 18:2, TG 51:0, PE (O-38:5), LPC 17:1, and LPC 18:0, could stratify patients in the highest tertile of delta troponin from those in the lowest tertiles. These lipids also were correlated with in-hospital cardiovascular events. Acylcarnitine 18:2, LPC 17:1, and LPC 18:0 as well as their respective whole class amount, were significantly higher (p<0.05) in the STEMI population than the control subjects. Conclusions: Our analyses elucidated a detailed characterization of the temporal alterations in plasma lipidome that occur during human myocardial reperfusion 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) | 0.002 | 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".