17 Reactive oxygen species expression in vascular regenerative cells in people with elevated lipoprotein(a)
Bibliographic record
Abstract
Introduction Lipoprotein(a) [Lp(a)] is an independent, genetically determined predictor of cardiovascular disease; however, its interaction with vascular repair mechanisms is unclear. Increased intracellular reactive oxygen species (ROS) cause oxidative stress and impair cellular homeostasis. We hypothesize that ROS expression in vascular regenerative (VR) cells differs between people with elevated versus non-elevated Lp(a). Methods This sub-analysis of the cross-sectional, observational Lp(a)-VRCE study compared the frequencies and absolute cell counts of VR cell subsets with high intracellular ROS levels between people with an Lp(a)≥100nmol/L (High Lp(a); n=20) and people with an Lp(a)<100nmol/L (Low Lp(a); n=20). Peripheral blood mononuclear cells were subjected to multi-chromatic flow cytometry analyses based on high aldehyde dehydrogenase (ALDH) activity, a cytoprotective enzyme conserved in progenitor cells, in combination with side scatter property (SSC) and ROS expression. Results Baseline characteristics are shown in table 1. The frequency and absolute cell counts of ALDHhiSSClow primitive progenitor cells with high intracellular ROS expression was similar between the High and Low Lp(a) groups. There was a lower frequency of ALDHhiSSCmid monocyte precursor cells with high intracellular ROS expression in the High Lp(a) group compared to the Low Lp(a) group (84.01 vs 89.96%; p=0.02). There was an increased absolute cell count of ALDHhiSSChi granulocyte precursor cells with high intracellular ROS expression in the High Lp(a) group compared to the Low Lp(a) group (5915 vs 1895 cells; p=0.04). All other frequencies and cell counts were similar between the two Lp(a) groups (figure 1). Conclusion Intracellular ROS expression was similar in pro-vascular primitive progenitor cells, lower in monocyte precursor cells, and higher in granulocyte precursor cells in people with elevated versus non-elevated Lp(a). Further investigation is warranted to understand the impact of Lp(a) on vascular repair mechanisms.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".