Abstract 18638: Myocardial Infarction Induces Dysfunction of Endothelial Colony Forming Cells With Independence of Common Cardiovascular Comorbidities
Bibliographic record
Abstract
Introduction: Endothelial Colony Forming Cells (ECFCs) present a dysfunctional and senescent phenotype in ischemic heart disease. However, the effect of myocardial infarction (MI), independently of common cardiovascular comorbidities (CCVC), on ECFCs functionality has not been evaluated up to date. Hypothesis: MI induces dysfunction of ECFCs with independence of CCVC Methods: To determine the potential effect of MI on ECFCs, human ECFCs (hECFCs) were isolated from peripheral blood from healthy volunteers (n=6), patients immediately after MI (n=6) (AMI-hECFCs) and patients 6 months after MI (n=6) (CMI-hECFCs). To determine the effect of MI on ECFCs impairment, isolated from the effect of common cardiovascular comorbidities that are found in patients, 6 healthy pigs were subjected to 90 minutes of myocardial ischemia by coronary balloon occlusion followed by reperfusion. Porcine ECFCs (pECFCs) (n=6) were isolated from blood samples before the MI and 1 month after the procedure (CMI-pECFCs) (n=6). For all groups, the following parameters were determined: days until colonies appearance, morphometry, percentage of senescent cells, and migratory, proliferatory and angiogenic capacities. Results: Both CMI-hECFCs and CMI-pECFCs showed a delayed time until colonies appearance (p-ANOVA=0,0117 and p-ANOVA=0,0159 respectively) but no differences were found in AMI-hECFCs. AMI- and CMI-hECFCs showed changes in their area and shape, but only shape changes were observed in CMI-pECFCs. In terms of senescence, both AMI- and CMI-hECFCs, but not CMI-pECFCs, presented an increment of senescence (p-ANOVA= 0,0011). In terms of functionality, AMI- and CMI-hECFCs and CMI-pECFCs showed a significant reduction of angiogenesis and proliferation, and only CMI-hECFCs showed an impaired migratory capacity. Conclusions: MI Induces dysfunction of ECFCs with independence of CCVC
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".