Abstract P168: 20-HETE-mediated Neutrophil Adhesion Impairs Coronary Collateral Growth in Metabolic Syndrome
Bibliographic record
Abstract
Transient, repetitive myocardial ischemia (RI)-induced coronary collateral growth (CCG) is impaired in metabolic syndrome patients and animal models. Endothelial cell (EC) dysfunction and chronic inflammation are hallmarks of metabolic syndrome. We showed that while in normal animals (SD), RI induces transient infiltration of monocytes, associated with successful CCG, in metabolic syndrome rats (JCR), RI induces sustained accumulation of neutrophils, which contributes to compromised CCG. 20-hydroxyeicosatetraeonic acid (20-HETE) is a pro-inflammatory metabolite of arachidonic acid. Its role in the regulation of CCG is unknown. We hypothesized that enhanced 20-HETE-mediated neutrophil adhesion to ECs and consequent EC dysfunction and apoptosis result in impaired CCG in metabolic syndrome. P-selectin and ICAM-1 expression was increased ~40% in JCR vs. SD rats. This increase was prevented by 20-HETE antagonists, 20-SOLA or 20-HEDGE. 20-HETE antagonists also prevented neutrophil accumulation observed in JCR rats. Coronary arteries from JCR rats exhibited reduced endothelium (Ach)-dependent vasodilation (20% JCR vs. 50% of max. SD). RI-induced eNOS activation and NO production were likewise decreased (~60% and~70%, respectively) in JCR vs. SD rats. EC apoptosis (TUNEL) was severely increased in response to RI in JCR rats (~75% vs. SD). Neutrophil adhesion-blocking antibodies partially attenuated EC apoptosis (~70%) and EC dysfunction (~75% eNOS activation and NO production, 75% Ach-dependent vasodilation). 20-HETE antagonists fully reversed impaired endothelium-dependent vasodilation, eNOS activation, NO production and prevented EC apoptosis. Finally, impaired CCG in JCR rats (collateral-dependent blood flow, microspheres) was completely restored by 20-HETE antagonists (CZ/NZ flow was 0.76±0.07 in JCR+20-SOLA, 0.84±0.05 in JCR+20-HEDGE vs. 0.11±0.02 in JCR vs. 0.84±0.03 ml/min/g in SD rats) and partially restored by neutrophil-blocking antibodies (0.49±0.05 ml/min/g). Taken together, these results indicate that 20-HETE-dependent neutrophil adhesion and accumulation compromises EC survival and function leading to impaired CCG. 20-HETE antagonists could provide therapy for restoration of CCG in metabolic syndrome.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".