Plasma apolipoprotein concentrations and occurrence of cardiovascular events in the general population: an exploratory analysis
Bibliographic record
Abstract
Background and aims: The role of many apolipoproteins in cardiovascular disease (CVD) pathophysiology and their predictive potential remains unclear. This study examined the association between plasma concentrations of a broad panel of apolipoproteins and the occurrence of cardiovascular events in a general population. Methods: A nested case-control study was conducted within a cohort from Southwestern France. Baseline concentrations of apolipoproteins A-I, A-II, A-IV, B100, C-I, C-II, C-III, D, E, H, J, L1 and M were analyzed in 65 cases who experienced a cardiovascular event during the follow-up period, and in 65 controls matched for age and sex (mean age 60.9 ± 10.7 years; 66.9 % men; median follow up 9.3 years for controls, 6.2 years for cases). Baseline correlations were assessed using Spearman's coefficients.Logistic regression and partial least squares discriminant analysis (PLS-DA) were used to evaluate associations with the occurrence of cardiovascular events. Results: Concentrations of apolipoproteins A-I, A-IV, C-I, D, H, J and M differed significantly between cases and controls. All expect apoM remained independently associated with cardiovascular events after adjustment for known risk factors. Additionally, PLS-DA revealed that the entire apolipoprotein panel explained 64 % of variance in case-control status with 60 % predictive accuracy, with apolipoproteins D, J, A-IV, H, and C-I contributing the most to group discrimination. Conclusions: This study identifies a novel panel of apolipoproteins (A-I, A-IV, C-I, D, H, and J) whose levels are associated with occurrence of cardiovascular diseases, independently of traditional risk factors. Further research is needed to confirm these findings and explore underlying mechanisms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".